Overview

The NeuroAI and Intelligent Systems course from University of Cambridge 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.

Programme Structure

The curriculum focuses on the cutting-edge intersection of neuroscience and artificial intelligence, equipping you with valuable knowledge and transferable skills that will empower you throughout your academic and professional journey.
The core of our teaching consists of approximately 60 hours of specialised lectures on current topics in NeuroAI and Intelligent Systems. These lectures cover a wide range of areas, including neural computation, connectionist theory, dynamical systems, state-of-the-art topics like transformers and state-space models, as well as technical seminars. The course also features guest lectures from industry and academic leaders in the field of NeuroAI.

Key information

Duration

Full-time
- 10 months

Start dates & application deadlines

Starting 2027-10-01 00:00:00
- Apply before 2026-12-08 00:00:00

Language

English

TOEFL^® IBT

107

Schedule TOEFL®

IELTS

7.5

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Credits

180 alternative credits

Delivered

On Campus

Campus Location

Cambridge, United Kingdom

Disciplines

Neuroscience Artificial Intelligence View 161 other Masters in Neuroscience in United Kingdom

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Academic requirements

GPA

Upper Second Class

English requirements

TOEFL^® IBT

107

Schedule TOEFL®

IELTS

7.5

IELTS & PTE Test Preparation

E2 Language Test Prep

Trusted by 7M+ Students

Start Studying Today

Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.

Study on your own schedule
Live classes with current and ex-examiners
Accurate score assesment, always
E2 Score Guarantee - Get your score or your money back!

Other requirements

General 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.

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.

International Applies to you

Applies to you

Non-residents

43530 GBP / year

≈ 43530 GBP / year
Domestic Applies to you

Applies to you

Citizens or residents

16614 GBP / year

≈ 16614 GBP / year

Living costs

Cambridge

United Kingdom

846 - 1465 GBP / month

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

Win a €10000 Scholarship! Deadline: 30 June 2020

Embark on your journey with the Studyportals Scholarship! We're giving away a total of 20,000 euros to help you achieve your dream of studying abroad.

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Scholarships Information

Below you will find Master's scholarship opportunities for NeuroAI and Intelligent Systems.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

About

Overview

The educational aims of the course are to:

Programme Structure

Key information

Duration

Start dates & application deadlines

Language

IELTS & PTE Test Preparation

Credits

Delivered

Campus Location

Disciplines

What students do after studying

Academic requirements

English requirements

IELTS & PTE Test Preparation

Other requirements

General requirements

Tuition Fees

International Applies to you

Domestic Applies to you

Living costs

Cambridge

Funding

Need help with your student visa?

Scholarships Information

Available Scholarships

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