Program Overview

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Computational Neuroscience, Cognition and AI MSc

Course Overview

This unique interdisciplinary course combines aspects of psychology, mathematics, and computer science. It uses computational models and artificial intelligence to further the understanding of the brain.

You will learn how:

• the brain is believed to work on the cellular, network, and systems level
• to develop mathematical models of brain function and use them in simulations
• cognitive phenomena relate to brain activity
• current AI algorithms are based on neuroscience findings
• a range of experimental approaches are used to measure and analyze brain function

Why choose this course?

• Research project in a wide range of fascinating topics
• Interdisciplinary, combining aspects of psychology, mathematics, and computer science
• Gain experience of applying a variety of mathematical modeling approaches
• Top 10: The School of Psychology is ranked in the top 10 in the UK for research power
• More than £1 million annual research income from research councils, the EU, Government, charities, and companies

Course Content

Emphasis will be on the direct application of the theoretical foundations. You will learn the relevant neuroscience and computing knowledge as the course progresses.

Modules

• Core modules:
  • Machine Learning in Science – Part 1 (20 credits)
  • Computational Cognitive Psychology (20 credits)
  • Neural Computation
  • Research project
  • Practical Biomedical Modelling
• Optional modules:
  • Computer Vision (20 credits)
  • Data Analysis for Neuroimaging
  • Machine Learning in Science – Part 2 (20 credits)
  • Professional Skills
  • Advanced Methods in Psychology
  • Current Issues in Cognitive Neuroscience
  • Research Internship

Learning and Assessment

How you will learn

• Lectures
• Seminars
• Project work

Gain a hands-on experience in computational neuroscience research through a blend of traditional modules, individual and group projects.

How you will be assessed

• Exams
• Coursework
• Project work

Your final degree result will be calculated from the taught module marks and the project mark.

Entry Requirements

All candidates are considered on an individual basis and we accept a broad range of qualifications. The entrance requirements below apply to 2026 entry.

• Home / UK students
• EU / International students
• Alternative qualifications

Undergraduate degree: 2:1 (or international equivalent). For quantitatively minded students with a background in psychology, neuroscience, or biosciences as well as those with training in physics, engineering, mathematics, or computer science; no specific biology or psychology knowledge required.

Work experience: This course requires strong mathematical and programming skills. In their final two years of study, applicants must have achieved a 2.1 (60%) in 2 module(s) covering at least two of the following subjects: mathematics, statistics, physics, data analysis, computer science. If such skills were gained independently, evidence should be provided. In exceptional cases, a 2:2 degree (or international equivalent) may be considered provided the applicant has at least one year of relevant work experience or another supporting factor.

IELTS: 6.5 (6.0 in each element)

English language requirements: As well as IELTS (listed above), we also accept other English language qualifications. This includes TOEFL iBT, Pearson PTE, GCSE, IB, and O level English.

Fees

Qualification | MSc ---|--- Home / UK | To be confirmed International | To be confirmed

Please note that course fees for 2026 entry have not yet been confirmed. For reference, you can view the 2025 entry fees here. These may be subject to change for future academic years.

Funding

There are many ways to fund your postgraduate course, from scholarships to government loans.

We also offer a range of international masters scholarships for high-achieving international scholars who can put their Nottingham degree to great use in their careers.

Check our guide to find out more about funding your postgraduate degree.

Careers

• Careers advice
• Job prospects

We offer individual careers support for all postgraduate students.

Expert staff can help you research career options and job vacancies, build your CV or résumé, develop your interview skills, and meet employers.

Each year, 1,100 employers advertise graduate jobs and internships through our online vacancy service. We host regular careers fairs, including specialist fairs for different sectors.

International students who complete an eligible degree program in the UK on a student visa can apply to stay and work in the UK after their course under the Graduate immigration route. Eligible courses at the University of Nottingham include bachelors, masters, and research degrees, and PGCE courses.

Graduate Destinations

This course provides an ideal preparation for a PhD in computational neuroscience, psychology, or artificial intelligence.

Those who take up a postgraduate research opportunity with us will receive support in terms of regular contact with supervisors and specific training. You will also benefit from dedicated advice from our Careers and Employability Service.

Other careers include:

• Biomedical modeling
• Artificial intelligence
• Data science
• Brain imaging

Career Progression

78.9% of postgraduate taught students from the School of Psychology secured graduate-level employment or further graduate study within 15 months of graduation. The average annual salary for these graduates was £23,016.

Related Courses

• Machine Learning in Science MSc
• Cognitive Neuroscience MSc
• Psychology (Conversion) MSc
• Psychology (Conversion) Distance Learning MSc