the
Cambridge
Future Scholar
Programme
Explore your passions
through a research
course.
The Future Scholar Programme is an online 2-5 student research-focused programme taught by current teaching faculty members at the University of Cambridge, the University of Oxford, MIT, Harvard, Stanford, and select Ivy League universities.
Each Spring, Summer, and Fall round will be offering 90+ unique research courses in STEM, Business, Social Sciences, and the Humanities.
Watch this video to learn more about the Future Scholar programme.
Programme Outcome
A Semester's Worth of
Teaching
13 weeks of lectures and supervision from Oxbridge or Ivy League faculty mentors and PhD TAs. Curricula mirroring first-year courses at the faculty mentors’ universities.
An Independent Research
Project
Complete an original independent research paper, supervised by an Oxbridge or Ivy League faculty mentor, with the aiming of publication at undergraduate or industry level journals..
A Signed Evaluation
Report
From your Oxbridge or Ivy faculty mentor, issued by the programme, that highlights each student’s performance throughout the programme.
A Letter of
Recommendation
The option to request a tailored letter penned by your Oxbridge or Ivy League faculty mentor.
Download
the Spring 2025
Prospectus for
• Programme structure
• Research course catalogue
• Mentor biographies
• Tuition & Scholarship
Oxbridge Level Writing Centre
Our writing centre, staffed by Oxbridge students and alumni, is constantly on call to provide prompt feedback on your writing.
Independent Ethics Review
Committee
For research involving human subjects, an ERC review is often required to ensure the experiment adheres to research ethics. CCIR’s independently-run ERC is led by Dr McClelland at the University of Cambridge.
Journal Publication Guidance
Publishing requires know-how. Our expert team will not only help you transition from high school to academic writing, we will also actively assist you in getting your work published. Our academic advisors actively maintain our database of publications so that we know how and where to best showcase your work. We will help you avoid predatory academic forums and support you as you publish your work in legitimate journals and conferences.
Conducting In-person Research
at CCIR Lab - MIT
The Cambridge Centre for International Research (CCIR) is proud to announce the opening of the CCIR Lab at MIT.
Starting in Spring 2025, current and future CCIR student researchers from both the Future Scholar Programme and the 1-on-1 Research Mentorship Programme will be able to conduct their own research and experiments (or choose from a list of pre-approved experiments), at the state-of-the-art lab on the campus of MIT.
CCIR student researchers can reserve the CCIR Lab at MIT through the CCIR Academics Team at no additional cost.
CCIR’s PhD level lab managers will also be on site to supervise each student researcher’s project.
Located in the heart on the MIT campus, the CCIR Lab at MIT is situated next to the iconic MIT Great Dome on the busy Main Street in Cambridge, MA.
Founded in 1832, the building have became home of a host of innovations of technology advancement, including the original birthplace of Polaroid and the world’s first long distance phone call between Thomas Watson and Alexander Graham Bell.
With millions of new funding from leading life sciences corporate sponsors (including Johnson & Johnson, Biogen, Pfizer, and Bayer), the lab has become a hub of innovation for mostly Harvard and MIT affiliated startups. Recent ventures at the lab included Affinivax, later acquired by GSK for $3.3 billion for its groundbreaking vaccine design.
For nearly 200 years, this facility has been the forefront of driving revolutionary advancements in life sciences.
Course Structure
Each 13-week research course is divided into two parts
Lecture Weeks (1 - 7)
Build up your foundation of knowledge
With support from your mentor and TAs, you will first gain a grounding in your field of research. In addition to 1 hour of lecture a week from your mentor, you will also receive 1 hour of seminar discussion from your TA, and an 30 minute office hour on request.
Research Weeks (8 - 13)
Plan and execute your own research project
Beginning with a research and methodology session, you will then transition into self-directed work. During this research phase of the course, your lecture sessions will become research workshops and your TA sessions will become writing sessions.
Programme Details
1 Hour
weekly session with faculty mentor and PhD TA
30 Minutes
weekly 1-on-1 Office Hour on request
Unlimited
correspondence and guidance from faculty mentor and CCIR Academics Team
2 to 5
students admitted per course
1:2
average faculty to student ratio
<20%
Overall Acceptance Rate
121 Unique Research Courses,
Designed and Taught by Ivy League/Oxbridge Faculty
Each course is designed and taught by current Oxbridge and Ivy League faculty.
For full professor mentor biographies and course descriptions, please download the latest prospectus.
Harvard (Harvard Medical School) | Department of Cardiology
In this research course, we will talk about the principles of developmental biology and stem cell biology, study organ development (such as the heart), and discuss genome engineering using the CRISPR-Cas9 (a novel genetic modification tool). The objective of the research course is to encourage students to think creatively about how a cell develops an organism, how we can study them experimentally, how we can edit genes, and how we can use animal models to analyse in vivo data.
Brown | BioMed MCB Department
In this research course, each student is tasked to read, digest, and present assigned peer-reviewed research articles in the field of Cell and Developmental Biology, which is the science that investigates how interacting processes generate an organism’s heterogeneous shapes, size, and structural features that arise on the trajectory throughout a life cycle. Topics of interest include asymmetric cell division, cell signalling and metabolism, cellular specification and differentiation, mRNA translation, embryonic development, germ cell and stem cell development, and cancer regulation.
Cambridge | Cambridge Institute for Medical Research
Injury to the brain and spinal cord has devastating consequences as adult neurons in the central nervous system do not repair their nerve fibres. This research course covers the cellular and molecular biology of the nervous system and has a particular focus on the regrowth of nerve fibres after an acute injury – a process called axon regeneration. The independent research project will enable students to gain hands-on experience in the analysis of real experimental data from fluorescence microscopy of neurons and the presentation of scientific results.
Princeton | Department of Molecular Biology
In this course, students will receive a comprehensive introduction to the fascinating world of protein biochemistry. We will span several decades of technological advancements including the polymerase chain reaction (PCR), recombinant protein expression technologies, CRISPR/Cas9 gene editing, and advances in optical microscopy approaches. We will combine fundamental concepts in molecular biology and biochemistry with the seminal literature in the field that has led to major scientific breakthroughs and altered the way textbooks are written. Students will explore protein-based machines through independent research projects using basic molecular biology and biochemical techniques (if available) and/or computational AI-based tools.
Oxford | Department of Biochemistry
In this research course, we will explore genetics utilising computational and data scientific techniques. By analysing the vast quantities of data using these cutting-edge techniques, students will learn how to observe and analyze molecular events across the genomes of biological systems.
Cambridge | Department of Genetics
In this research course, students will learn about the role of
genetics in understanding and combatting infectious
diseases, while developing skills relevant in modern computational analyses, known as bioinformatics, which will open
the door for understanding infection mechanisms at the
gene and protein levels.
Cambridge | Department of Medicine
Pandemics are a major threat to public health and can have severe consequences for global economies, making it important to study the factors that drive their emergence and spread. This research course will delve into the fascinating and complex world of infectious diseases from a genetic perspective. It will focus on the use of whole-genome genetic data to better understand the molecular mechanisms underlying the spread and evolution of pathogens that cause infectious diseases.
Cambridge | Department of Pharmacology
In this course, we will learn the basic principles of cancer biology and how to use different bioinformatics tools to analyse health data. We will discuss the hallmarks of cancer to better understand how we can interpret the results we can discover from the data-mining exercises. We will explore large-scale biological data using different bioinformatics tools and platforms. These findings will allow students to uncover genes that can have a potential role as biomarkers or that have therapeutic applications.
Cambridge | Department of Pharmacology
In this course, we will learn the basic principles of genomics and molecular profiling approaches used to analyse an individual’s genetic information. We will also engage in hands-on research by utilising bioinformatics tools to identify biomarkers—specific indicators associated with particular diseases or treatment responses. As precision medicine involves integrating data from various omics sources, such as genomics, transcriptomics, proteomics, and metabolomics, we will use bioinformatics tools to explore and integrate multi-dimensional data, offering a more comprehensive view of biological processes. The potential role of artificial intelligence, machine learning and other innovative approaches in shaping the future of precision medicine will also be discussed.
Harvard (Harvard Medical School) | Kanarek Lab, Department of Pathology
In this research course, students will embark on a research journey into the dynamic realm of cancer research, with a particular focus on metabolomics application. As the landscape of cancer investigation continues to evolve, yielding an abundance of new insights, the course offers an exploration of cutting-edge knowledge in cancer research. By conducting their independent research project, students will gain an understanding of the interplay between metabolism and cancer, along with the skills to contribute to the forefront of cancer research.
UC Berkeley | Landry Lab, Department of Chemical and Biomolecular Engineering
This research course will cover emerging topics in applied biotechnology – from CRISPR to cloning. We will learn the fundamental principles of DNA, RNA, and protein biochemistry and think about how analogous techniques to study and analyse these systems have emerged. Next, we will discuss the development of CRISPR-based genome editing applications. The scope of the research course will allow students to probe the cutting-edge interface of biology with engineering.
Cambridge | Cancer Research UK Cambridge Institute
This research course aims to explain how genetic variations in our genome affect our phenotype and how genetic variations lead to single gene and complex diseases such as cancer. Most importantly we will explore modern cancer diagnostics and novel methods for early cancer detection and how clinicians nowadays use patients’ DNA to target and treat cancer — offering a new approach to personalised treatment.
Harvard | Joslin Diabetes Center
Throughout the research course, students will explore cutting-edge strategies and technologies used in drug discovery with a focus on metabolism-targeting therapeutics. The rapidly advancing field of drug development offers various approaches, including novel drug design, high-throughput screening methods, and precision medicine techniques. By exposing students to these state-of-the-art methodologies, the course aims to equip them with the knowledge and skills necessary to engage in contemporary research efforts and contribute to the development of next-generation drugs aimed at combating metabolic diseases.
Cambridge | Biomineral Research Lab
Biological imaging methods serve as indispensable tools for illuminating the dynamics of biological systems, offering insights into their inner workings at the cellular and molecular levels. This research course acts as a gateway into the realm of bio-image processing techniques, empowering students with the necessary knowledge and skills to dissect, analyse, and interpret biological images with precision and efficacy. The aim of the course is to cultivate both a theoretical and practical understanding of image processing methods meticulously tailored to meet the unique challenges posed by biological data.
Harvard | Massachusetts General Hospital
Regenerative medicine, using biologically compatible materials (biomaterials) and stem cells, aims to restore the functions of damaged organs or tissues. We will examine the basics of stem cell biology, explore different types of biomaterials, discuss current tissue engineering strategies and commercially available tissue engineering products. Ultimately, students will each conduct a research project in which participants can develop their own hypothetical
tissue engineering strategies to restore a type of tissue of their own choosing.
Cambridge | Department of Veterinary Medicine
This course offers an introduction to bacterial genomics within the context of the pressing global concern—antimicrobial resistance (AMR). Students delve into resistance genes, horizontal gene transfer, and cutting-edge DNA sequencing techniques, gaining practical skills in bioinformatics for AMR surveillance. The course goes beyond theoretical understanding, exploring strategies to combat AMR, including responsible antibiotic use, alternative therapies, and global initiatives. Emphasis is placed on hands-on exercises, discussions, and collaborative projects that empower students to analyse real-world genomic data and propose solutions to address AMR challenges.
Princeton | Molecular Biology Department
Analytical chemistry plays a crucial role in modern science, particularly in areas such as disease biomarker detection, biosensor development, and gene-editing technologies. In this research course, students will explore the fundamental concepts of disease biomarkers and their applications in disease diagnosis, delving into how chemical analysis techniques achieve high sensitivity and specificity in detection. The research course also focuses on the principles and design of biosensors, including the integration of nanomaterials and chemical modification techniques to enhance sensing performance.
Cambridge | Department of Engineering
Our brain controls how we perceive our surroundings and
how we interact with them, how we feel, and who we are. In
this research course, we will explore how the brain and
nervous system function with a particular attention to its
core building block – the neuron. We will also explore how
technology can be utilised to better understand and treat
the brain.
Cambridge/Johns Hopkins | Bioelectronics Laboratory
The objective of this research course is to invite students to study neuroscience and neuroanatomy, and to understand the state-of-the-art technology being used to interface with the nervous system. In particular, we will learn the physiological basis of electrical and chemical signalling in the nervous system, including the brain and the sensory systems (visual, auditory, olfactory and taste, and hearing), and understand how electronic systems can be used to artificially substitute them when damaged (e.g. recovery of hearing in deaf people).
University of Toronto, Keenan Research Centre for Biomedical Sciences | St Michael’s Hospital
This research course offers an engaging introduction to psychology’s fundamental concepts and principles. Students will be provided with an overview of the scientific study of human behaviour and thought by exploring topics such as perception, attention, memory, motivation, and decision-making. Particular focus is placed on the emotions. We will discuss the evolutionary origins of distinct emotions, as well as the impact of emotions on our cognitive processes and social relationships. Students will also be trained to discuss and present on research data and clinical experiences to enhance their understanding.
Oxford | Department of Experimental Psychology
This research course will examine the building blocks of human intelligence through the lenses of cognitive psychology. We will explore the fundamental cognitive processes such as attention, memory, and learning. We will then examine how these core abilities give rise to more complex processes such as decision making, problem solving and abstract thinking, and ultimately to what we consider intelligent behaviour. The overall aim of the course is to provide students with a thorough understanding of the key topics in cognitive psychology, to provide a space to integrate theoretical and experimental knowledge, and equip students with a thorough understanding of the tools and approaches used to study cognition.
Harvard (Harvard Medical School) | Beth Israel Deaconess Medical Center, Boston
The blood-brain barrier is a major field in neuroscience, because it protects the brain from harmful substances in the blood while allowing essential nutrients to pass through. In this research course, we will grasp the essential concepts in cellular and molecular medicine, neuroscience, and genetics, specifically focusing on the blood-brain barrier (BBB) and its critical role in brain function.
Harvard (Harvard Medical School) | Beth Israel Deaconess Medical Center, Boston
This research course offers a comprehensive introduction to the foundational principles of stem cell biology and the emerging and transformative field of regenerative medicine. It is designed for students seeking to understand the dynamic role of stem cells in both biological research and clinical applications. This foundation will equip students with the knowledge needed to pursue further studies or a career in stem cell science and regenerative medicine, fostering their contribution to one of the most promising and rapidly evolving areas of modern biology.
Oxford | Department of Experimental Psychology
Our visual sense is one of the most important means of gathering information about the surrounding physical world. In this research course, we will examine the core topics in visual perception, which form a major part in experimental psychology, cognitive science, and optometry. Students will obtain a foundational understanding of the principles, theories, and processes involved in visual perception, spanning from the basic functions of the eye to the complexities of visual cognition.
Cambridge | Department of Clinical Neurosciences
Many of us will be personally affected by dementia by either getting dementia ourselves or caring for someone with dementia. The research course will introduce students to dementia and dementia research. We will cover different types of dementias, including Alzheimer’s, Vascular dementia, frontotemporal dementia, Parkinson’s, and HIV-associated brain injury, and more. Through them we will gain an understanding of how brain diseases influence cognition, emotion, and behaviour. We will also study dementia prevention, in which we will look at evidences of how our own lifestyle choice could affect getting dementia.
Dartmouth | Computational and Cognitive Neuroscience Lab, Department of Psychological and Brain Sciences
In this research course, we will examine decision making from both behavioural and neurobiological points of view. Specifically, we will learn about different methods used in psychology and neuroscience to study decision making at various levels, from mental and cognitive processes to underpinning neural activity and mechanisms. Ultimately, this research course will alter students’ perspectives on decision-making by imparting knowledge of brain function.
Dartmouth | Computational and Cognitive Neuroscience Lab, Department of Psychological and Brain Sciences
Neuroeconomics is a new emerging field in which a combination of methods from neuroscience, psychology, and economics is used to better understand how we make decisions. Neuroeconomics uses various cutting edge techniques to study how the brain integrates information from various sources. In this research course, we learn about economic and psychological theories that are used to investigate and understand choice behaviour, as well as mental and neural processes that underlie decision-making.
Oxford | Department of Experimental Psychology
This research course delves into the fascinating realm of how the human brain supports learning and decision-making processes, drawing insights from computational neuroscience. Throughout the course, we will explore fundamental concepts such as reinforcement learning and Bayesian decision theory, unravelling the intricate mechanisms that underlie our cognitive abilities. By synthesising insights from neuroscience, psychology, and computer science, students will develop a holistic understanding of human learning and decision-making processes. In summary, this course offers a multidisciplinary perspective that will deepen students’ understanding of the complex interplay between the brain, behaviour, and computational principles.
Cambridge | Department of Psychology
Motivation and emotion are critical functions of the brain,
allowing individuals to enhance their likelihood of survival
and passing on their genes. In this research course, we will
aim to provide a foundation of research, theory and
practical skills acting as a primer for the student interested
in the psychological and neural basis of emotion, motivated behaviours and the mechanisms of abnormal emotion
and motivation.
Cambridge | Department of Psychology
In this research course, we will explore foundational research, theory and practical skills related to molecular and systems pharmacology of central nervous system disorders. The course will provide the students with a solid background in cellular and molecular neuroscience, neuropharmacology and behavioural neuroscience that will then be used to discuss the neuropsychopharmacology of neuropsychiatric disorders. The aim of this research course is to provide an understanding of the chemical pathology of the major central nervous system diseases/disorders, and how these conditions are treated with drugs.
Harvard (Harvard Medical School) | Dettmer Lab, Department of Neurology
In this research course, students will deepen their under- standing of brain anatomy, brain biology and the degeneration that occurs in Parkinson’s disease and causes the hallmarks of PD. Potential intervention strategies will be evaluated. The importance of biomarkers for diagnosis and drug development will be discussed, and potential biomarker strategies will be highlighted. The goal is to outline novel strategies towards (early) diagnosis and treatment of PD, and this may include the combination of different approaches.
Harvard, Center for Astrophysics | NASA Jet Propulsion Laboratory (JPL)
In this research course, students will generate a scientific exploration case, develop the mission concept, as well as design and investigate custom subsystems of a spacecraft, such as structures, thermal, power, attitude and orbit and propulsion. Students will study celestial mechanics/astrodynamics in order to determine the most suitable orbits in space and how this affects key engineering considerations. This course is well suited to students with an interest across space research, astronomy, aerospace engineering, and mechanical engineering.
Oxford | Department of Engineering Science
This research course provides a comprehensive exploration of the essential engineering principles of thermofluids, aerodynamics, and experimental design, equipping students with the theoretical knowledge and practical skills needed to address challenges in aerospace, energy, and sustainable technologies. Students will be prepared to apply these skills to innovate and create solutions for achieving sustainability and net-zero objectives in the industries of aerospace, sustainable energy, industrial systems, and beyond.
University College London
DNA molecules have particular chemical and physical properties that can be applied to solve tasks that go beyond the scope of their function in nature. In this research course, we will explore first DNA’s functional characteristics and how can they be used to produce complex architectures at the nanoscale that can then perform customised tasks for a wide range of applications – from biomedicine to the manufacturing industry, including data storage and complex chemical production.
UCL | Department of Computer Science
Biorobotics is a cutting-edge interdisciplinary science at the intersection of biology, biomedical engineering, computer science and robotics. It studies ways to improve the intelligence, locomotion, and other performances of robotic systems inspired by nature. In this research course, students will be introduced to novel bio-inspired ideas that have revolutionised modern day robotics, particularly in the field of soft-robotics. The course delves into the principles and methods behind the design of physically compliant robots. Students will learn the programming language MATLAB and develop their independent research projects on bio-inspired robotics.
Cambridge | Bio-Inspired Robotics Lab
This research course introduces students to the intersection of robotics and artificial intelligence, with a focus on the machine learning techniques that power advancements in modern robotics. Covering a broad spectrum of intelligence levels, the research course begins with foundational concepts, such as understanding touch and interaction with the physical environment, and progresses to advanced methodologies, including reinforcement learning, learning from human demonstrations, and multi-agent collaboration.
UCL | Department of Medical Physics and Biomedical Engineering
Soft robotics is a rising branch of robotics that aims to develop delicate, flexible and safe robotic devices which interact with humans using soft actuators that mimic biological behaviour, which state of the art rigid robots cannot accomplish otherwise. In practice, they can perform tasks that would be impossible or dangerous for humans to do. This research course will introduce students to this nascent branch of robotics and have a deeper insight into soft robots’ concept, development, and control. With this, the students will develop a full awareness of the topics, which will allow them to work on their independent research projects.
Oxford | Department of Physics
This is an interdisciplinary research course at the interface of microengineering, analytical chemistry, and robotics, designed to explore the innovative applications of miniaturized analytical systems and automated chemical processes. Students will learn cutting-edge techniques in microfluidics and robotics and apply them to real-world problems in analytical chemistry and biomedical engineering.
UC Berkeley | College of Engineering
This research course provides preparation for the conceptual design and prototyping of mechanical systems that use microprocessors to control machine activities, acquire and analyse data, and interact with operators. Students will perform laboratory exercises that lead through studies of different levels of software. Software coverage includes C and Matlab. Students will have the opportunity to work with an Infineon PSOC6 microcontroller.
Oxford | Department of Engineering
In this research course, we will explore the fundamental principles of mechanics in this comprehensive course that covers the essential and advanced concepts of statics and dynamics. Throughout the research course, hands-on exercises, problem-solving sessions, and interactive simulations will allow students to apply theoretical concepts to practical situations. By the end of this course, students will possess a solid understanding of basic mechanics, enabling them to analyse static equilibrium, assess structural members, and predict the behaviour of particles and rigid bodies in dynamic situations.
Oxford | Department of Physics
In this research course, we will explore the fundamental principles of mechanics in this comprehensive course that covers the essential and advanced concepts of statics and dynamics. We then delve in genetic design and molecular biology techniques required in synthetic biology. Finally, we will look at examples of synthetic biology frameworks such as projects in the IGEM competition that pushed the boundaries in various fields of science. We can assemble so many machines from our DNA Lego bits with the right knowledge.
Cambridge | Department of Medicine / Department of Engineering
Nanotechnology is a multidisciplinary field that draws from physics, chemistry, biology, and engineering. It is a rapidly evolving field that offers novel solutions for many industrial challenges. In this research course, students will learn about various aspects of nanotechnology and nanomaterials, and how they are applied to create devices such as solar cells, superconductors, and medical sensors.
Cambridge | Department of Medicine / Department of Engineering
This research course covers the entire process of sensor data science: data collection, pre-processing, feature extraction, and machine learning modelling. Mobile and wearable sensors will be mainly used, and the types of sensor data covered include motion (e.g. vibration/acceleration, GPS), physiological signals (e.g. heart rate, skin temperature), and interaction data (e.g. app usage). Students will learn the basic digital signal processing and feature extraction techniques. Basic machine learning techniques will be reviewed, and students will master these techniques with a final mini-project to solve real-world sensor data science problems.
MIT | Department of Mathematics
Geometry, the study of shapes, is a fundamental aspect of both mathematics and our understanding of the world around us. In this advanced research course, we will embark on an exploration of the beautiful and intricate structures that define our universe. By the end of the course, students will have developed a strong foundation in modern differential geometry and be guided to write a paper proving a geometric theorem on their own, providing them with a taste of conducting research in pure mathematics.
UPenn | Department of Mathematics
The quadratic reciprocity law, conjectured by Euler and elegantly proved by Gauss, is one of the most profound theorems in mathematics. Its significance extends beyond its initial discovery, laying the groundwork for modern algebraic number theory and inspiring countless generalizations. This research course is designed to introduce students to the foundational concepts of number theory through the lens of quadratic residues and reciprocity. The research-oriented approach aims to equip students with the analytical skills needed to explore open problems in mathematics.
Cambridge | Faculty of Philosophy
This research course will delve into the intricate relationship between mathematics and philosophy. Students will explore topics such as mathematical logic, set theory, and computability theory. The aim of this course is to inspire students to engage in independent research projects focusing on fundamental questions in mathematics, logic, and philosophy. Through this exploration, students will gain a fresh perspective on mathematics and its connection to broader philosophical inquiries.
Cambridge | Department of Computer Science and Technology
This research course will delve into the intricate relationship between mathematics and philosophy. Students will explore topics such as mathematical logic, set theory, and computability theory. The aim of this course is to inspire students to engage in independent research projects focusing on fundamental questions in mathematics, logic, and philosophy. Through this exploration, students will gain a fresh perspective on mathematics and its connection to broader philosophical inquiries.
Cambridge | Department of Computer Science and Technology
For millennia, humanity has pondered the nature of reasoning and whether it can be governed by clear rules. The quest for these “simple enough” rules, rooted in basic principles yet powerful enough to encompass various processes, spurred the development of mathematical logic and theoretical models of computation. This research course explores this historical journey, from Euclid’s axioms to the works of Frege, Peano, Russell, Gödel, and Turing, delving into formal systems, Gödel’s incompleteness theorems, and computational models like recursive functions and Turing machines. Bridging theory and practice, students explore automated reasoning and interactive theorem proving, gaining insight into the potential and limitations of formal systems, thus equipping them with tools for their development and application.
National Institutes of Health (NIH) | National Cancer Institute
Machine learning has emerged as a powerful tool across various industries, revolutionising how we approach complex problems. At its core, machine learning relies heavily on mathematical principles and techniques to make sense of data and make informed decisions. In this research course, students will be introduced to many concepts in advanced mathematics, from linear algebra, to derivatives, gradients, optimisation theory and information theory. By the end of the research course, students will gain a solid understanding of the mathematical principles that drive machine learning algorithms, equipping them with the knowledge and skills needed to tackle complex problems in the field.
Harvard, Center for Astrophysics | NASA Jet Propulsion Laboratory (JPL)
In this research course, we will cover the fundamentals of machine learning as well as study how to develop code that can be applied to engineering system design. This research course will allow students to hone their coding skills, predominantly using Python, in order to perform linear regressions, data analytics, Bayesian optimizations, and multi-parameter analyses for engineering design cases. Having the ability to program and code in Python is an increasingly vital skill for all engineers. This course will be of interest to students interested in bioengineering, mechanical engineering, aerospace engineering, with a specific focus on using machine learning and computer vision tools.
Cambridge | Language Technology Lab
In this research course, we will explore key concepts in Deep Learning and Natural Language Processing. Hands-on components will let the students build and train deep learning models, fine-tune advanced language models like GPTs. This research course offers a transformative experience, gearing the students up for future academic and professional pursuits in AI.
Cambridge | School of Clinical Medicine
The focus of this research course is learning end-to-end
models for these tasks, particularly image classification and
segmentation, using machine learning architectures. During
this course, students will gain a detailed understanding of
cutting-edge research in the fields of artificial intelligence,
computer vision, and artificial neural networks. Additionally,
the final assignment will allow them to apply their hands-on
knowledge to real-world vision problems.
Oxford | Department of Engineering Science
This research course provides a comprehensive introduction to deep learning techniques tailored for computer vision and medical image analysis. Through a combination of theoretical discussions and hands-on projects, students will explore techniques for image classification, segmentation, object detection, and anomaly detection. By the end, students will have able to design, train, and evaluate state-of-the-art models for a variety of computer vision tasks.
Oxford | Department of Engineering Science
This research course delves into the cutting-edge advancements in artificial intelligence, with a particular focus on the latest trends, i.e, foundation models and multimodal large language models (LLMs), such as GPT, BERT, and DALL-E. The research course examines the architectures and training paradigms underpinning these models, including self-supervised learning, attention mechanisms, and scaling laws.
Cambridge | School of Clinical Medicine
This research course introduces students to large-scale language models like GPT, exploring how machines comprehend and generate human-like text. It blends theory with practical exercises in natural language processing, aiming to demystify AI and inspire further study and careers in technology. Beginning with intensive introductions to machine learning and neural networks, the course progresses to independent research projects supervised by faculty. Students delve into advanced NLP techniques and are prompted to consider the ethical implications and boundaries of AI.
Imperial College London | Department of Computing
This research course delves into the realm of Natural Language Processing (NLP) and Large Language Models (LLMs), such as ChatGPT, which have revolutionised various domains but are prone to errors with significant implications. It aims to equip students with NLP tools to analyse, understand, and mitigate LLM errors. Beginning with NLP basics, the course explores LLM principles, architecture, and training methods, fostering hands-on experience with state-of-the-art tools for error analysis. Students engage in ethical discussions on AI deployment and decision-making, emphasising accountability and fairness. Through independent research projects, students investigate LLM errors, developing critical thinking and problem-solving skills essential for responsible AI development.
University of California | School of Information
The proliferation of smart spaces, ranging from intelligent homes and offices to advanced urban environments, has resulted in an explosion of video data generated by connected devices such as surveillance cameras, drones, and IoT-enabled sensors. Harnessing this data effectively requires a unique intersection of expertise in data science, distributed systems, and video analytics. This course aims to equip students with the knowledge and skills to design, implement, and optimize systems for processing and analyzing video data in smart spaces.
University of California | School of Information
This research course offers an in-depth exploration of data science, blending foundational principles with hands-on applications to equip students with the skills needed for real-world challenges. We will also delve into large language models (LLMs), such as GPT, and their transformative role in modern data science. Through practical projects, students will have a comprehensive understanding of the data science pipeline, from data preparation to advanced machine learning and AI integration.
Cambridge | Centre for Advanced Research and Education
Artificial Intelligence and Machine Learning are transforming industries and driving innovation across diverse fields, from healthcare to finance to environmental sustainability. This research course explores real-world applications of AI and ML, showcasing how these tools are used to address critical challenges, including vaccine development in the case of Moderna, text mining for stock market prediction, to computer vision for autonomous robots, and many more.
Princeton | Office of Population Research
Ever wonder how connections between people, ideas, and things shape everything, from friendships to global events? This research course dives into the fascinating world of social networks, where we’ll uncover the hidden patterns that influence our lives—like who’s really the most popular in your class, how rumors spread like wildfire, and why certain influencers go viral overnight. You’ll learn how to use social network analysis to visualize, understand, and harness the power of networks and relationships.
Harvard | Center for International Development
As the field of data science continues to grow at an unprecedented pace, its applications are transforming industries, influencing policy decisions, and shaping the way organizations operate. This research course is designed to provide students with a foundational understanding of data science and its applications.
By the end of the research course, students will have gained the skills and confidence to independently perform data analysis, distinguish between correlation and causation, and critically assess the validity of data-driven conclusions.
Cambridge | Department of Applied Mathematics & Theoretical Physics
Climate change is among the most significant existential threats facing humanity, driving increased frequency and intensity of environmental hazards, ecosystem degradation, and widespread societal challenges.This research course aims to equip participants with the
knowledge and skills to analyze climate change and environmental risks using machine learning, bridging
scientific understanding and data-driven solutions.Students will have the opportunity to engage with algorithms and datasets, applying theoretical knowledge to pressing climate and environmental issues.
Cambridge | Department of Computer Science and Technology
This research course is an in-depth exploration of the realm of social networks, arguably the most important platform for collaboration and communication among the global population. We will explore the widespread adoption of social media platforms such as Facebook, Twitter, Instagram etc., which enable users to share diverse content like opinions, experiences, perspectives, and various media formats. Additionally, students will be taught cutting-edge methodologies for analysing and visualising data pertaining to social network structures and dynamics.
Oxford | Department of Engineering Science
In this research course, students will gain an understanding
of how AI-based technologies are revolutionising healthcare.
Students will be introduced to biomedical sensors and
wearable systems and gain knowledge on the underlying
physiological phenomena. They will also learn to programme
in Python/MATLAB and implement their own AI pipeline on
healthcare data, from scratch.
Cambridge | Innovation Centre for Digital Molecular Technologies
In this multidisciplinary research course, students will explore the rise of machine learning (or artificial intelligence) with specific reference to drug discovery and chemical development, as well as emerging techniques for effective chemical/pharmaceutical synthesis. Combining topics from chemistry, biology, chemical engineering, and computer science, the research course equips students with the interdisciplinary knowledge needed to tackle cutting-edge problems in these fields.
National Institutes of Health (NIH) | National Cancer Institute
This research course explores how Artificial Intelligence (AI) is reshaping medical imaging, from improving diagnostic accuracy to enhancing patient outcomes. Students gain theoretical knowledge and practical experience in applying AI to various medical imaging modalities, learning about machine learning and deep learning techniques. Specific AI applications like computer-aided diagnosis systems and image reconstruction are examined, highlighting their potential to streamline healthcare workflows and benefit patients. Through independent research projects, students gain a deeper understanding of AI’s transformative impact on medical imaging and healthcare delivery.
Cambridge | Department of Engineering
Virtual Reality (VR) and Mixed Reality (MR) hold immense potential and represent the future of technology. They find applications in training simulations, gaming, healthcare therapies, architectural visualisation, manufacturing, and design. In this research course, students will be introduced to these cutting-edge technologies and learn how to unlock their potential through their research projects. During the research project, students will have the opportunity to choose from a variety of related topics, ranging from VR simulations to the development of tactile interfaces and psychophysical studies.
Oxford | Oxford Robotics Institute
This research course offers students a comprehensive understanding of Artificial Intelligence (AI) and Machine Learning (ML) in the context of robotics. It delves into advanced concepts and cutting-edge applications, catering to those interested in the intersection of AI and robotics. Students gain a strong foundation in AI/ML before exploring the intricacies of robotics, including its challenges and transformative potential across industries. Equipped with this knowledge, they are prepared to pursue careers in robotics, automation engineering, or AI research, ready to contribute meaningfully to this dynamic field.
Harvard | The Institute for Quantitative Social Science (IQSS)
This research course equips students with advanced statistical, machine learning, and AI methods to address complex social science issues such as political polarisation, gerrymandering, and criminal justice. It aims to demystify these methods and provide practical guidance on their evaluation and application. Through hands-on experience with real-world datasets, students learn to use tools like GitHub and cloud computing for analysis. The course covers a range of methods including Ordinary Least Squares, Bayesian statistics, Large Language Models, and survey methods, preparing students to communicate results effectively to policymakers and the public.
Cambridge | Department of Applied Mathematics and Theoretical Physics
This research course will provide an introduction to quantum processes. We will begin by expounding the principles of quantum mechanics in our setting (and Dirac notation) and then immediately make connections to information (quantum states viewed as information carriers, quantum teleportation) and computation (notion of qubits and quantum gates). At the same time, we will discuss quantum cryptography (quantum key distribution), and quantum computing, culminating in an exposition of principal quantum algorithms, such as the Deutsch-Jozsa algorithm. While no previous knowledge of quantum physics is required for this course, a relatively strong background in mathematics or physics would be beneficial.
Princeton | Department of Chemistry
This research course focuses on classic light-matter interactions, delving into the realm of physical chemistry, with a special emphasis on photoluminescence. Throughout the course, students will grasp the fundamental principles of light-matter interactions, including basic quantum mechanics to extend their understanding from classical to quantum physics. Through hands-on experimentation, they will cultivate a deeper understanding of the dynamic processes that govern the interplay of light and matter.
Cambridge | Centre for Quantum Information and Foundations
Quantum physics is confirmed with overwhelming experimental evidence at the microscopic scales (e.g., at the atomic scale), producing many technological applications. This research course will address the foundational issues of quantum physics as it relates to quantum measurement and general relativity. Students with a relatively strong background in mathematics or physics would excel in this research course.
MIT | Kavli Institute for Astrophysics and Space Research
Astronomy is entering an unprecedented era of big data, as
new facilities are observing more phenomena than humans
can possibly visually examine. Dealing with millions of
astronomical objects and producing terabytes of data every
day requires machine learning and statistical methods to
classify, model, and characterise the data influx. In this
research course, we will learn cutting-edge machine-learning
methods and apply them to real astronomical datasets to
discover, model, and further our understanding of the
universe
Oxford | Department of Physics
White dwarfs, neutron stars and black holes are compact
objects forming at the final stages of the evolution of
massive stars. In this research course, we will learn the
nature of compact objects and see their place in the history
of the universe. During the research course, we will touch
on many topics from high energy astrophysics and talk
about the recent progress in the detection of gravitational
waves. Finally, we will discuss open issues standing in front
of the scientific community and try to figure out how further
steps in the investigation of black holes, neutron stars, and
white dwarfs will help in probes of fundamental physics
under extreme conditions.
Oxford | Department of Physics
This research course deals with the structure and evolution of isolated stars and starts in binary systems.Through a blend of theoretical concepts, observational data, and computational models, student will gain an understanding of the physical phenomena governing stars’ evolution. Throughout the research course, students will engage in hands-on activities, computer simulations, and observational projects to reinforce theoretical concepts and gain practical skills in data analysis.
Oxford | Beecroft Institute for Particle Astrophysics and Cosmology
Our standard model of cosmology posits that around 85% of the matter in the universe is “dark matter”: an elusive, invisible, hypothetical substance that interacts noticeably with ordinary matter only through gravity. A key challenge in astrophysics is mapping out dark matter using subtle observations that give us clues to its gravitational influence, such as the arrangement of billions of galaxies photographed by telescopes and the bending of light by dark matter’s gravity. We will gain hands-on experience with advanced statistical techniques and machine learning methods, utilizing the same tools used by leading academic researchers in the field that allows us to unravel its secrets.
University of Toronto | Canadian Institute for Theoretical Astrophysics,
The last decade saw remarkable discoveries related to black holes, including gravitational waves from merging neutron stars and plasma flows near black holes. However, the plasma dynamics that produce these emission signatures are still poorly understood. In this research course, we will study the required theories (plasma physics, general relativity, quantum electrodynamics) necessary to understand how black holes and neutron stars shine and how we can use their observed emission to understand the nature of strong gravity.
Cambridge | Faculty of Economics
Networks are all around us. From the architecture of financial systems, trade between companies and across countries, to the complex transportation system linking cities. This research course will explore how the events within the network interact and influence one another, and how can we represent, describe, or predict the events. We will emphasise a computational approach to social and economic network applications. Students will learn how to use Python to set and simulate network models; they will become familiar with the most recent research and techniques in network science and will develop excellent research skills.
Oxford | Center for Experimental Social Sciences
Combining insights from economics, psychology and philosophy, this research course teaches students how experiments have advanced economic theory to better reflect the world we live in. Departing from standard theory which assumes humans are coldly rational and always make decisions that offer the greatest personal benefit, students will learn how experiments have shown us that behaviour consistently differs in predictable ways. As students develop their understanding of the common biases we all exhibit, they will be encouraged to apply the lessons they’ve learned to their own experiences.
Princeton | Niehaus Center for Globalization and Governance
This research course delves into the dynamic field of International Political Economy (IPE), exploring the complex ways in which international economic activities shape political relationships among states. It provides students with analytical frameworks needed to explore how trade, finance, and global production networks intersect with political power and decision-making.
Oxford | Department of Primary Care Sciences
This research-intensive course serves as an exploration into the relationship between economics, mental health, addiction and substance use. We will discuss addiction and substance use through an economic lens, and students will be introduced to cutting-edge theories and models. Students will develop their research skills within health economics, particularly focusing on economic evaluations. With a spotlight on methodologies employed to assess the cost-effectiveness of healthcare interventions, students will engage in rigorous examination and measurement of health outcomes and cost valuation. They will also learn how to apply economic evaluations alongside clinical trials and employ decision-modelling techniques crucial for comprehensive research projects in mental health economics.
Columbia | Columbia Population Research Center
Certain groups of individuals, including LGBTQ+, Hispanic/Latinx, Black/African American, Native Hawaiian/Pacific Islander, Native American/American Indian, are at greater risk of experiencing significant health challenges due to systemic inequities. This research course introduces students to Intersectionality and Population Health, two vital frameworks that help us examine and address these challenges. Each student will identify an intersectionality vulnerable population to study, design a research project, and propose a social justice intervention to address health inequities affecting that population. This action-oriented approach will equip students with both analytical and advocacy skills, bridging academic learning with meaningful community impact.
Columbia | Department of Economics
To improve our understanding of the economic impact of the pandemic, this research course will introduce students to surveys of several contemporary policy issues in economic literature. Notably, we will discuss current economic and financial matters arising through and after the COVID-19 pandemic.
LSE | International Inequalities Institute
What is inequality, and how is it best measured and tracked over time? How do people experience inequality? Inequality is an important and complex issue that manifests in people’s lives, national politics, public policies, and economic systems. Its scientific study draws on multiple disciplines, including economics, sociology, and development studies. This research course will examine key perspectives on inequality, sociology, and development studies.
Harvard University | The Center for Labor and a Just Economy (CLJE)
This research course delves into the multidisciplinary study of skilled immigration, combining economics, policy analysis, and case studies.This research course offers a comprehensive exploration of skilled immigration economics, bridging the gap between research and policy. By completion, participants will be equipped with a solid foundation in the field, enabling them to critically analyse and actively contribute to ongoing discussions regarding skilled immigration and its economic impact.
Stanford | Center for International Security and Cooperation
Designed for students aiming to enhance their analytical skills, the research course covers the fundamentals of statistical computing, data visualization, and causal inference, focusing on practical applications to pressing questions in global politics. Students will learn to navigate complex datasets, assess causal relationships, and interpret statistical results in the context of international security, global governance, and political economy.
KU Leuven (US News World Top 50) | Department of Economics
This research course explores Game Theory, an interdisciplinary field that delves into strategic decision-making across different domains. Game Theory uncovers hidden strategies and dynamics behind decision-making in diverse situations, influencing individuals, organisations, nations, and animals. By the end of the course, interactive discussions, case studies, and real-world examples will have enriched the students’ understanding of game theory concepts, fostering a solid foundation in strategic thinking across diverse contexts.
KU Leuven (US News World Top 50) | Department of Economics
This research course offers an immersive exploration into how economic decisions shape the trajectory of our planet’s future. Students will delve into a rich array of topics, including the management of non-renewable resources such as oil and gas, the harnessing of renewable resources like solar and wind energy, and the critical analysis of cost-benefit implications associated with green policies and sustainable development initiatives.
Cambridge | Department of Sociology
Issues relating to ‘race’ and ethnicity, whether #blacklivesmatter or COVID-19, today lie at the forefront of public
debate. In this course, students will critically analyze the
concepts and processes of ‘race’ and ethnicity, understand
as social constructions, looking at the UK, the US, and
beyond.
Cambridge | Department of Sociology
This research course aims to cultivate critical thinking and provide a comprehensive understanding of contemporary global development issues. Topics we will discuss include, Millennium and Sustainable Development Goals, development traps, pandemic and post-pandemic challenges, urbanisation and gentrification, development theory, international and regional co‑operation for development, bottom-up perspective, decolonial studies, development and intersectionality, and corruption, among others.
Yale | Department of Political Science
Political psychology seminars often focus on American political behavior, while comparative politics rarely address psychological perspectives directly. This research seminar bridges that gap by exploring how psychological factors intersect with comparative political systems, shaping attitudes and behaviors across diverse contexts. The research course examines how political beliefs are formed, revised, and expressed through action, emphasizing the influence of personality traits, cognitive processes, and identity—both individual and collective—on political engagement.
Columbia | Department of Sociology
Bodies are central to the human experience. We move, function in society, and make sense of our existence and relatedness through our bodies. However, within our societies, not all bodies are treated equally. Based on social rules and norms, some bodies are deemed deviant, incomplete, marginalised, or less than, compared to others. This research course invites students to critically explore the relationship between intersectionality and the body. Through engaging with thought-provoking literature, this course will open up discussions about how bodies are disciplined, moulded, surveyed, and the hierarchies formed around bodies.
Cambridge | Department of Sociology
Spanning across both physical and mental health and borrowing primarily from sociology of health and illness and gender, students taking this research course will develop a critical understanding of the main themes and debates in these fields. By the end of the research course, students will have completed a research paper, which will cut across several themes in health and gender according to their personal research interests.
Oxford, Centre for Socio-Legal Studies | University of Toronto, Department of Sociology
This research course delves into violence, exploring its meaning, origins, and manifestations. It examines debates on defining and documenting violence, focusing on distinguishing interpersonal from state-sanctioned violence. The course analyses societal, cultural, and individual factors influencing violent behaviour, including legal frameworks and power dynamics. It scrutinises colonial legacies’ impact on violence and how racial and gender dynamics intersect with it. Overall, the course aims to provide a comprehensive understanding of violence as a complex social phenomenon shaped by historical influences, power dynamics, and cultural contexts.
Oxford | Faculty of Classics
Why are languages so different – and thus so hard to learn?
We will explore the social relevance of language and the results
of language contact. Students will conduct independent
research by constructing linguistic data, analysing big data
and performing context-oriented keyword analysis.
Students will investigate how language develops, interacts,
and how to what extent we can manipulate our patterns of
language usage for specific purposes.
Columbia | Department of Architecture
This research course explores the intersection of architecture with social, political, and environmental concerns, prompting critical inquiry into the discipline’s role in addressing contemporary challenges. Students examine debates and arguments surrounding architecture’s engagement with societal issues and its environmental impact. Through case studies spanning recent decades, topics such as aesthetics, sustainability, spatial organisation, and cultural contexts are explored. Emphasis is placed on developing a nuanced understanding of architecture’s role in addressing pressing issues while maintaining fidelity to its unique principles. The course fosters critical thinking and encourages students to navigate the complexities of architectural discourse within broader societal contexts.
Columbia | Department of Architecture
This research course will examine the core topics in architectural thinking by introducing students to critical arguments and debates in the discipline’s contemporary discourse. Covering approximately the last 30 years, we will look at architectural projects, buildings, material configurations, construction systems, and organisational models along with a series of theoretical and historical frameworks relevant to them. Topics include representation, programme, spatial organisation, context, whole, element, content, referent, the digital, aesthetics, phenomenology, evolving notions of sustainability, and developing cultures of reuse and renovation.
Columbia, School of Business | Geico, Head of Marketing
In today’s ultra-competitive business world, effective Marketing Management and Brand Strategy are key components for any business to achieve success. However, these are not easy tasks, especially given that modern-day consumers are constantly overwhelmed with information. This research course introduces the principles of brand management and advertising as practised by industry leaders today. This research course is relevant for students interested in driving consumer demand regardless of career path.
Cambridge | Judge Business School
Why do some start-ups receive a valuation of several billion
dollars, while others cannot even raise the amount to get by
and survive? Why do only a handful of start-ups go public?
The research course will focus on entrepreneurial finance,
i.e. venture capital investment. This research course exposes students to the core theories, concepts, and tools used to
screen high-potential start-ups and maximize the return on
investment. Students will learn key theoretical concepts,
tools, and approaches to entrepreneurial finance and their
application in valuation and investment in new businesses.
Cambridge | Judge Business School
This research course delves into the dynamic landscape of entrepreneurship in the age of AI and complementary digital technologies. It will explore the fundamental principles of entrepreneurship, including identifying opportunities, developing innovative business models, and securing funding. Students will explore the eminent challenges and opportunities presented by the rapid advancement of generative AI and digital technologies. By the end of the course, students will gain practical experience and develop the academic skills necessary to conduct rigorous academic research at the intersection of entrepreneurship and disruptive digital technologies.
Australian National University | Centre for Applied Macroeconomic Analysis (CAMA)
What drives stock prices? This research course covers the basics of stock market dynamics. Students will grasp fundamental concepts in finance and economics, and specifically, learn to forecast economic and financial data using statistics and economic models. Real-world case studies, simulations, and practical exercises will be integrated to provide hands-on experience in applying modelling techniques and investment strategies to actual financial data. By the end of this research course, students will be equipped to make informed investment decisions and manage financial risk adeptly in today’s dynamic financial markets.
Cambridge | Cambridge Judge Business School
Investments, securities, markets, bonds, trading…This is a dynamic and engaging research course designed to explore the fascinating world of finance. It will provide students with a solid foundation in financial markets, trading, and the principles that drive stock prices, making it perfect for those interested in pursuing careers in business, economics, or investing, simply wanting to understand how financial markets operate.
LSE | Department of Management
In this research course, students learn to question and apply sociological or psychological theories to understand inequalities in organisations. The course particularly helps students to understand why women don’t progress at the same pace as men at work. The course specifically looks at gender and stereotypes attached to the gender within a society and how this transpires to the workplaces. It also extends to other identities that might equally explain the reasons for inequalities within workplaces. By studying this course and working on their independent research projects, students will develop hands-on research skills and also understand the interdisciplinary process of applying theories from different fields in solving complex problems.
LSE | Department of Management
This research course focuses on organisational behaviour, aiming to understand how individuals’ actions impact organisational success. Through case studies and discussions, students explore the dynamics that shape behaviour within startups, social enterprises, and other organisations. The course delves into psychological and sociological perspectives, examining how cultural factors influence decision-making and behaviour, particularly in global contexts. Students conduct independent research projects to gain insights into real-world scenarios and develop a comprehensive understanding of organisational dynamics and effectiveness.
Cambridge | Centre for Advanced Research and Education
The first ever AI conference was held in 1956. Why did it take half a century for technologies to become ubiquitous in our lives? This research course is designed for aspiring entrepreneurs, innovators, and investors that are fascinated by the interaction of multiple areas, like science, technology, finance, and economics. From the basics of finance and startup economics to assessing technological feasibility and market fit, this research course provides an comprehensive introduction to the entrepreneurial and venture capital world.
Cambridge | Department of Politics and International Studies
The key question of this research course is: ‘How to maintain stability and order in a world that seems to be changing at an ever increasing pace?’ Students will be introduced to the fundamentals of Europe post-World War II order, the foundations of post-1991 US hegemony, the rise and growing integration of China in the global economy, aspects of revisionism by Russia, and the geostrategic challenges of growing multipolarity.
Cambridge | Department of Politics and International Studies
Students will be introduced into key texts on the causes of war, including material from psychology, evolutionary biology, archaeology, history, social anthropology, and international relations. The course will furthermore draw on a selected range of cases from mythology, history, and current instances of warfare in order to illustrate some of the most cogent hypotheses. It will also explore the purpose and rationality of warfare, be it for territorial expansion, economic gain, for religious faith, or for collective identity. Last not least, the course aims to assess possibilities of preventing, containing, or regulating war as a system of organised violence by means of legal and ethical norms as well as strategies of conflict-resolution.
Oxford | European Studies Centre
Is democracy under siege? This research course focuses on understanding the challenges facing democracy today, including the rise of autocratic regimes and the erosion of democratic norms. Students explore the factors contributing to democratic decline through scholarly literature, case studies, and empirical data analysis. They engage in original research projects using diverse methodologies to investigate the root causes and consequences of democratic erosion. By cultivating analytical skills and interdisciplinary dialogue, students aim to contribute to the study of democratic governance and political theory. The course culminates in research papers offering insights and recommendations for safeguarding democratic principles in the global landscape.
UCLA | Department of Sociology
Students will be able to analyse the world in ways that transcend binaries between nature (natural sciences) and society (social sciences), particularly in relation to real-world issues like climate, environmental sustainability, transitions, health inequality, and environmental justice. Engaged students will obtain a nuanced and diverse set of analytical tools to assist in understanding how “the environment” and environmental matters cannot be understood outside of and apart from the social world, and how the social world is deeply intertwined and embedded within “the environment.”
Oxford | Faculty of Classics
Making one’s voice heard in public was a sought-after skill
for those at the heart of the Athenian democracy, the Roman
republic and later the Roman empire. The skilful use of
language was a critical tool and a powerful weapon. We will
focus from the orators of the Athenian democracy to the
politicians of the Roman republic. Students will develop an
independent research project on political rhetoric, ancient
history or relevant areas in the context of its time and
discourse.
University of Chicago | Booth School of Business
There is a significant contemporary debate on how the state should interact with the individual, especially in the context of respecting the individual’s concepts of norms, privacy, and history. Students will conduct their independent research project throughout the research course, which will enable them to explore and delve into the central questions surrounding law, economics, and political philosophy.
Cornell University | Department of Government
Over the last half-century, civil disobedience has become a key political concept around the world. But what does “civil disobedience” mean? Is it compatible with the rule of law and democratic life? Does it represent a danger to state authority? This research course examines the politics and philosophy of civil disobedience through a global historical lens. We will trace the evolution of the concept–from the phrase’s origins in American abolitionist circles in the mid-nineteenth century, to its circulation in the British Empire, and its eventual appropriation by activists, lawyers, and philosophers from the 1960s onwards.
Dartmouth | Department of Philosophy
This research course delves into the concept of personal identity and self-transformation, exploring questions about what defines an individual’s identity. Topics include whether the self is constituted by narratives, if it persists over time, and the role of embodied cognition. Students also examine how social factors such as culture, religion, and identification with social groups influence personal identity. Ethical considerations regarding self-transformation, including changes in values and authenticity, are also explored. The course draws from philosophy, psychology, biology, and social sciences to address these complex issues.
Harvard | Department of Philosophy
This research course will examine Kant’s philosophy primarily in light of Rousseau’s diagnosis of the ills of modern society and commercial liberalism. We begin by examining Rousseau’s major political writings—First Discourse, Second Discourse, and The Social Contract. We will then turn to some of Kant’s major political and moral writings, including selections from the Critique of Pure Reason, Groundwork for the Metaphysics of Morals, Conjectural Beginnings of Human History, and Toward Perpetual Peace. Through examining the dialogue between Kant and Rousseau, we will gain insight into questions concerning the character of history, the grounding of human freedom, morality, epistemology, and the source of legitimate political authority.
Harvard | Lakshmi Mittal and Family South Asia Institute
Was colonialism good for the world, or did it make life worse for people who lived under it? This is a live debate among people who are still trying to come to terms with their colonial pasts. This research course probes such questions by examining the British Empire during the 19th and 20th centuries, its means of expansion, economic incentives, and its racial assumptions. The course explores special topics relating to the imperial legacy. These include trade in cotton, opium and tea; colonial wars fought in Afghanistan and China, and anti-colonial movements, such as the one led by Gandhi, in the twentieth century. We also discuss violence, the drawing of borders, emigration, and refugees. The case studies of Israel-Palestine and India-Pakistan will factor prominently.
Cambridge/Brandeis/NYU | Center for Middle East Studies
Through integrating diverse bodies of scholarship—including gender theory, decolonial and postcolonial studies, queer theory, and human rights frameworks from legal and policy perspectives—the course provides an interdisciplinary approach to the study of human rights deeply rooted in questions of gender. Students will engage with seminal works by scholars such as CLR James, Sylvia Wynter, Gayatri Spivak, Michel Rolph Trouillot, Ratna Kapur, Hannah Arendt, Audra Simpson, Walter Mignolo, Giorgio Agamben, Judith Butler, Lila Abu-Lughod, and Wendy Brown, among others. Alongside these theoretical perspectives, students will analyze the evolution and application of international legal frameworks aimed at securing the rights of women and other marginalized groups.
Cambridge/Brandeis/NYU | Center for Middle East Studies
Since the global financial crisis of 2008, understanding the history of capitalism has become more crucial than ever, sparking a surge of interest and discourse. In this research course, we delve into the complexities of capitalism beyond face-value narratives. We will develop a comprehensive and critical understanding of capitalism, including its historical evolution and transformation, and its profound and far-reaching impact on our society and the world. Students will understand the importance of a global perspective in comprehending capitalism’s development and impact across various regions and cultures.
Cambridge / Brandeis / NYU | Center for Middle East Studies
Does anyone deserve to be unfree? What does captivity tell us about freedom? This research course tracks the history of captivity, prison, and incarceration. We examine laws and literatures of captivity in ancient Rome and the mediaeval Islamic world through to humanitarian debates around slavery and modern prisons and the political economy of successive wars on Crime, Poverty, Drugs, and Terror in the Americas. Our protagonists range from anti-colonial nationalists in Kenya and Chinese indentured labourers, to prisoners of the Russo-Ottoman wars and convict labourers in Australia.
MIT | Department of Literature
This research course will explore key topics and texts in
Black, Latinx, and Indigenous literature. Students will learn
how to read closely different literary forms as well as how to
perform the kind of interdisciplinary research that analysing
texts from a racial justice lens requires. Some of the authors
we will read include James Baldwin, Ta-Nehisi Coates,
Audre Lorde, Gloria Anzaldua, Valeria Luiselli, and Tommy
Orange. In addition to analysing literary works, students will
also explore key concepts from Black, Latinx, and Indigenous
studies such as double-consciousness, the borderland,
decoloniality, Afrofuturism, and critical fabulation.
U Chicago | Department of History
The aim of this course is to introduce a history of contemporary art from China since the 1970s. The course begins with a brief overview of modern art activities in China during the early 20th century along with art production under Mao. The course will then focus on contemporary avant-garde movements during the 1970s and 1980s, the response to urbanisation in art at the onset of the new millennium, the influence of globalisation since 2000, and a new generation of young artists from China as well as Chinese diasporic artists working transnationally.
Princeton | Seeger Center for Hellenic Studies
This research course explores the dynamic relationship between art and colonialism in the Mediterranean, from antiquity to the modern day. It offers a comprehensive examination of how diverse colonial powers have influenced and shaped the rich tapestry of cultural production within the region. Employing a multidisciplinary approach, the course blends art history, cultural studies, and historical analysis to unravel the nuanced complexities of artistic expression within the intricate web of colonisation.
Admissions
How to Apply
Step 1
Read Future Scholar
Prospectus
Download the programme prospectus, explore the courses on offer, and carefully review the admissions process page.
Step 2
Register for CCIR Admissions
Portal and Submit Application
Start drafting the required application form and documentation on the Admissions Portal.
Step 3
Interview
Successful applicants will be invited to an interview with either the research course’s faculty mentor, the Teaching Assistant, or a CCIR Academic Advisor.
During the 15 to 30 minute interview, we’ll assess your background, interests, and your ability to think through problems in your field.
Admission Deadlines & Start Dates
(2025)
SPRING
SUMMER
FALL
Pre-Application Opens
9 Aug
15 Jan
1 Apr
Official Admission Opens (Pre-Application Deadline)
15 Jan
1 Apr
9 Aug
Early Admission Deadline
1 Mar
1 May
1 Oct
Regular Admission Deadline
15 Mar
15 May
15 Oct
Programme Start Date
Late Mar/
Early Apr
Early June
Late Oct/
Early Nov
Admission decisions will be made on a rolling basis.
Frequently Asked Questions
Our students come from all around the world and we have become extremely good at coordinating schedules that work for everyone. At the start of every course, we will hammer out the logistics to make sure that we can find a time that works perfectly for everyone involved.
Every video conferencing session will be hosted by a CCIR operations team member. You are welcome to raise the issue through chat at any time. You can also send an email to support@cambridge-research.org, which is monitored at all times during active sessions.
Yes. Every session will be recorded and made available after class. You can access them via an unlisted playlist on YouTube or your Learning Management System.
The only requirements are the Internet (Zoom or compatible browser), front-facing camera, and microphone. Some courses may require specific softwares to be installed. Your mentor and TA will do their best to help you install those softwares.
A number of things differentiate CCIR Academy from other programmes:
IVY-LEAGUE / OXBRIDGE FACULTY AND TEAM
We only partner with current teaching faculty members at top-tier US/UK universities, including Cambridge, Oxford, Harvard, Stanford, MIT, Columbia, Cornell, UPenn, Yale, Dartmouth, and Princeton.
We are also an organisation currently run by Oxbridge students and alumni. Throughout the admission process, every single point of contact an applicant interacts with will be either a current Oxbridge student (PhD or above) or an Oxbridge alumni.
A FOCUS ON PUBLICATION
The goal of CCIR Academy is to push every student to publish their independent research paper to at least an undergraduate or industry level journal or conference. We do not recommend students to publish at predatory pay-for-publish journals or high school level journals. Each student can enjoy the vast research and publication resource that CCIR has to offer, which includes free access to academic database and targeted publication support. As a result, we have great success in having high school students to publish at some undergraduate or even industry level journals and conferences.
SMALL GROUP TEACHING/INTIMATE MENTORSHIP
At the heart of our programmes is the relationship between students and their mentors. For our Cambridge Future Scholar programme, our class is limited to no more than 5 students. The small classes ensure ample interaction and thought provoking discussions always take place at each session.
RESEARCH-ORIENTED LEARNING
Unlike lecture-only programmes, where students learn passively, our programmes emphasize on hand-on research. This kind of project based learning allows students to really dive into the subject and learn in an independent and autonomous manner.
HIGH ACADEMIC STANDARDS
Our commitment to maintaining the highest academic standards is reflected in our admissions, our courses, and in the expectations we have on our students. All our programmes are meant to be genuinely challenging and enriching academic experiences for our students.
Most importantly, by the end of your time at a CCIR programme, you will have completed a substantive independent research project. In certain cases, under the guidance of the mentors and our team, your research project will also be published in academic journals or presented at conferences. All our CCIR programmes award graduation certificates and in-depth evaluation reports. Finally, you will have fostered a close personal relationship with a Oxbridge faculty member from whom you can request a letter of recommendation.
Because of the academic rigor and the small size of our programmes, we are able to deliver an experience for our students that is at once fun and academically enriching. Over the course of the programme, as students work with one another and with the faculty, they will develop relationships that will push them both personally and intellectually.
All our students have the option of requesting letters of recommendation from their mentors. While we cannot guarantee letters of recommendation, we can say that in the past, because our admitted students are all capable and passion at, not a single student who has requested a letter of recommendation has had their request denied.
Attending CCIR may improve your chances in college/graduate admissions in a number of ways. Most importantly, CCIR offers you a great opportunity to produce and possibly even publish a genuinely impressive piece of academic work. In addition, since you will be interacting intimately with your Oxbridge mentor over a long period of time, your mentor will also likely become an excellent referee for you in the admissions process.
Generally speaking, our programmes consist of roughly 1-2 hours of face-to-face interaction hours per week. In addition to the class time, students will be expected to do readings and write essays. On average, including interaction hours, students are expected to devote a total of roughly 4 hours a week for their programme.
All CCIR Academy programmes are conducted online with the support of multiple platforms — video conferencing, learning management systems, etc.
Detailed tuition information, including merit scholarship opportunities, can be found in our programme prospectus.
Most importantly, your tuition covers supervisions, lectures, and additional weekly one-on-one office hours (30 minutes), if requested. Additionally, your tuition covers your access to Cambridge or Oxford’s academic database (via mentor), Data collection guidance (by the mentor), academic journal submission guidance (by the mentor and CCIR Academic Team), and academic support both during the course of the programme and in the follow up (when you need to request letters and evaluations).
To get more information about our programmes, the best way is to download our prospectus through the “Download Prospectus” button on bottom right. If you have more specific questions, please contact our Admissions Team at admissions@cambridge-research.org. If you’re a counselor or a teacher interested in collaborating with our programme, contact Oliver, our Director of Outreach at oliver@cambridge-research.org.
CCIR is looking for students who are not just academically strong but who are genuinely passionate about the subject matter for which they are applying. This means you have to demonstrate academic strength in your GPA and your other test scores (if applicable) and show us that you are someone who possesses a genuine passion for learning.
CCIR’s Future Scholar Programme and Future Entrepreneur Programme is designed for sixth form (11th and 12th grade in the US) students. The programme’s curriculum mirrors first-year teaching material at Oxbridge. However, we often receive applications of, and admitted, talented students attending lower levels.
The 1-on-1 Mentorship Programme, on the other hand, is much more flexible. In the past, we have both offered mentorships for younger students who were especially talented and mentorships for undergraduate students.
We are standardized test optional in our admissions. As long as we can see your school transcripts, you’ll be fine.
For the 1-on-1 programmes, our applications are rolling all year round.
For the Future Scholar Programme, applications for these course are all rolling once opened, until the each class is filled at maximum number of five.
All applicants are automatically considered for the merited scholarships. If you face economic hardship and seek financial aid, please inform our Academic Coordinator at apply@cambridge-research.org and we can make arrangements to best accommodate your situation.
We definitely don’t want you to stress over the interview. While there is an evaluative dimension to our interviews, the primary purpose of these interviews is to get a sense of what you have already known about the subject and what your academic passions are. The interviews are all very casual and conversational in style—so just be prepared to come in prepared to chat about your academic interests.
In a word: quite. We are hoping to push you academically and intellectually. However, be assured that you will be closely guided and thoroughly supported throughout this challenging process. And in terms of time commitment, we understand that you are busy so our mentors will ensure that you will not be overloaded with work.
Depending on your project, this may take a number of forms. Survey-based research is a definite possibility, for instance, in the social sciences. In other cases, we instead rely on existing data sets that are either open-source or that are requested from other researchers.
In the age of big data, a growing amount of research in the sciences is actually conducted outside of the lab context. Large amounts of data already exist and what is needed is for researchers to mine that data for insights. Our mentors will teach you the skills and tools needed for scientific computing and data analysis.
Our programmes ultimately all adopt a project-based learning methodology. However, the project-based methodology is supplemented by more traditional methods of lecturing and supervision wherever necessary. Worth highlighting is the supervision format of our teaching: this small group teaching style, based on critical peer-to-mentor and peer-to-peer interaction, is a Oxbridge hallmark and one that we have made central to our pedagogical methods.
Our Alumni
