NeuroAI and Intelligent Systems

Entry requirements

Applicants for this course should have achieved a UK Good II.i Honours Degree.

If your degree is not from the UK, please check International Qualifications to find the equivalent in your country.

We believe that diversity of thought and perspective is essential for advancing scientific knowledge. Therefore, we welcome students from a wide range of academic backgrounds. This might include: neuroscience, medicine, psychology, biology, computer science, engineering, or other, related disciplines. Our program thrives on interdisciplinary collaboration, and we encourage you to bring your unique insights and experiences to contribute to the rich tapestry of ideas.

University Minimum Academic Requirements

Months of entry

September

Course content

This programme is designed to equip students with a strong foundation in the core principles of NeuroAI, combining theoretical depth with hands-on technical training. Students will develop skills in computational modelling, coding, and algorithm design, while pursuing independent research in a 32-week project. The course also fosters scientific communication skills and provides access to world-class facilities and expert supervision within Cambridge’s vibrant academic community.

The educational aims of the course are to:

• Provide students with relevant experience at first-degree level the opportunity to carry out focused research in this emerging interdisciplinary field under close supervision;
• Give students the opportunity to acquire or develop technical skills and expertise relevant to their research interests in both neuroscience and AI.

The course will also:

• Provide a strong foundation in the core principles of NeuroAI - exploring topics such as neural networks, connectionist theory, dynamical systems, state-of-the-art AI approaches including transformers and state-space models;
• Enable hands-on technical training in computational modelling, coding, and algorithm implementation;
• Allow flexibility for students to explore their specific research interests via a substantial 32-week research project;
• Train students in academic scientific writing and presentation.

As a student in our programme, you will benefit from Cambridge's vibrant academic community in both neuroscience and AI. You will have access to state-of-the-art research facilities including advanced computational resources and high-performance computing clusters.

Learning Outcomes

By the end of the course, students will be able to demonstrate the following knowledge and understanding:

• Advanced knowledge of AI, neural computation, and algorithmic approaches at the intersection of neuroscience and AI;
• Proficiency in implementing computational models and algorithms through hands-on coding experience;
• In-depth knowledge of the background to their selected research project including research methods and data analysis techniques;
• A broad understanding of modern research techniques applicable to NeuroAI from the technical lecture series;
• Knowledge of theoretical approaches relevant to their specialisation and critical thinking in the area;
• Expertise in research methods, computational modelling, data analysis, and statistics;
• Originality in applying knowledge with practical understanding of how research and inquiry create and interpret knowledge in this interdisciplinary field.

Students will also acquire the following skills and attributes:

• Ability to analyse critical research literature and contemporary topics in their specialisation areas;
• Proficiency in explaining complex topics to specialist and non-specialist audiences;
• Demonstration of technical coding skills and algorithm implementation;
• Critical thinking and problem-solving approaches to different types of data;
• Participation in scientific discourse through written materials, code, oral and poster presentations.

Information for international students

IELTS (Academic)

Listening 7.0

Writing 7.0

Reading 6.5

Speaking 7.0

Total 7.0

TOEFL (Internet Score)

Listening 25

Witing 25

Reading 25

Speaking 25

Total 100

Fees and funding

Funding is available. Please consult the Univeristy of Cambridge Funding Search