Computational and Systems Neuroscience MSc, 1 year

Course information

UK/EU fee £8,190

International fee £16,700

Taught by Neuroscience Psychology and Behaviour

This is for you if... you are interested in learning how to apply different approaches from artificial intelligence and machine learning into neuroscience data modelling and analysis.

Course description

Course description

Due to the ongoing impact of the global pandemic we have had to evaluate all of our courses to ensure that we adhere to Government guidelines to protect the health and wellbeing of our staff and students. This means that as we work through these changes the modules, delivery methods and assessments shown, including those shown for future years, are subject to change.

Understanding how the brain works is considered as one of the primary challenges for 21st century science, inspiring ambitious neuroscience research programs around the world including the EU flagship Human Brain Project, the BRAIN Initiative in the USA, and the China Brain Project. Computational and theoretical approaches form a vital part of these neuroscience projects, and are of increasing importance in academic and industrial neuroscience applications. 

This one-year, full-time postgraduate degree covers theoretical and practical aspects of modern computational neuroscience, and their applications in areas of cellular, systems and cognitive neuroscience. You will learn the basics of neuroscience and how to apply different approaches from artificial intelligence and machine learning into neuroscience data modelling and analysis. The MSc Project will give you substantial experience with the main steps of undertaking a neuroscience research project, including experimental design, data acquisition, analysis and result interpretation.

Download a prospectus (PDF, 1.2MB)

Entry requirements

Entry requirements

2:2 in Psychology, Biological Sciences (or related disciplines), Neuroscience, Computer Science, Engineering, Physics, or Mathematics, or an equivalent international qualification.

Selection will be on the basis of short-listing and interview (in person or via Skype) to assess your overall background knowledge and suitability. You should be able to show some evidence of competence with programming and quantitative analysis.

English Language Requirements

IELTS 6.0 or equivalent. If your first language is not English, you may need to provide evidence of your English language ability. If you do not yet meet our requirements, our English Language Teaching Unit (ELTU) offers a range of courses to help you to improve your English to the necessary standard.

International Qualifications

Find your country in this list to check equivalent qualifications, scholarships and additional requirements.

Countries list

Fees and funding

Fees and funding

UK and EU Students

This is the total course fee.

Starting in September 2021

  • MSc: £8,190

Find out more about scholarships and funding.

Did you know you can apply for a Government Postgraduate Loan? Find out if you’re eligible.

International Students

This is the total course fee.

Starting in September 2021

  • MSc: £16,700

You will need to pay a deposit of £2,000 to secure your place. This will be subtracted from your total tuition fee.

Find out more about scholarships and funding.

Careers and employability

Careers and employability

This course provides research training for anyone wanting to study neuroscience at PhD level. The data collection and analysis and presentation skills you will develop during the course will be of value if you want to pursue a career in industry or scientific publishing. This is also an ideal platform to start a career as a data scientist or analyst, where artificial intelligence and machine learning tools can be used to extract information from large volumes of data from different fields, such as interactions with a website, traffic flow in a city, or purchase patterns.

Our Career Development Service is here to support you, with advice on interviews, CVs, work experience, volunteering and more. From Freshers’ Week to Graduation and beyond, they are here to help you reach your professional goals.

Related courses

Related courses

Course structure



The programme includes 2 taught modules and the MSc project. For the taught modules, lectures (using PowerPoint presentations), demonstrations, and practical classes running code written in Matlab will be delivered in a room with one computer allocated per student. For the MSc project, you will have weekly meetings with your supervisor.

Core modules

Advanced Methods for Data Analysis

Computational Modelling in Neuroscience

Project Allocation and Core Skills

MSc Project

Modules shown represent choices available to current students. The range of modules available and the content of any individual module may change in future years.

Why Leicester?

The programme will take advantage of expertise of the Centre for Systems Neuroscience (CSN) staff, whose research bridges the experimental and theoretical worlds.

You'll be exposed to a large variety of research areas in which the department is active in.

The research project is a central part of the programme and will prepare you to conduct research using computational neuroscience methods, either in industry or as part of PhD study.

The course will be run in a dedicated computer lab, with a single computer assigned to each student, which is ideally suited for working in small groups.

Teaching and learning

The taught modules use a combination of lectures, demonstrations, computer-based problem-solving, and directed reading. You will initially work in groups every week to complete formative assessment solving computer-based problems. The first summative assessment is a group computer-based exam, and the second assessment is an individual computer-based exam, where you will need to solve a complex problem with limited time. Finally, you will be assigned a simple individual project which will be assessed through a written report submitted at the end of the semester.

For the MSc project, following project allocation, you will perform a literature review and develop a research protocol. A poster presentation will allow you to introduce your projects to your peers and to discuss the proposed approaches to be carried out. One-to-one meetings with your supervisor will be a constant source of feedback throughout the project. Before the end of the semester, you will show your results to your peers in an oral presentation, which will provide another opportunity for feedback. You will then submit a dissertation (12,000-15,000 words) and you will be finally assessed with a viva voce exam.

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Course Qualification Duration Availability
Course Computational and Systems Neuroscience Qualification MSc Duration 1 year Availability

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