MSc Computational Cognitive Neuroscience

First or upper second-class honours degree (or equivalent undergraduate degree) in a relevant discipline. Applicants might also be considered if they aren’t a graduate or their degree is in an unrelated field, but have relevant experience and can demonstrate the ability to work at postgraduate level.

A-levels in Science, Computer Science or Mathematics

Applications will be reviewed on a case-by-case basis. Depending on previous background and experience, applicants may be required to take one or more pre-sessional courses (for example in programming, statistics, or maths) prior to the start of the programme. These courses will be free to MSc offer holders.

For fees and funding options, please visit website to find out more

Goldsmiths offers a range of financial support including postgraduate scholarships, bursaries and fee waivers. These are awarded based on a variety of criteria, for example academic achievements or personal circumstances.

When researching career opportunities, you may find it useful to visit the websites of professional bodies such as the Federation of European Neuroscience Societies, National Bernstein Network Computational Neuroscience, Cognitive Neuroscience Society Society for the Study of Artificial Intelligence and Simulation of Behaviour (AISB) and the Organisation for Computational Neurosciences.

Computational cognitive neuroscience graduates have a range of career options including:

• Academic – take part in teaching and academic research in the field
• Artificial intelligence – in a range of roles such as machine learning engineer or data scientist
• Clinical engineer – designing, developing and maintaining equipment for diagnosing illnesses and treating patients
• Communications – developing communications technologies as a communications engineer
• Data analyst – providing insight and analysis of data in a range of sectors
• Linguistics analysis – in areas such as speech recognition, text-to-speech synthesis, natural language processing, user research and computer-mediated language learning
• Programming, Systems Analysis and Software – in areas such as games design, Human-Computer Interface (HCI) design and Software design and development
• Scientific research – in a variety of fields such as health and pharmaceutical research, and neural network applications
• Various roles in the IT sector

Core modules

• Foundations of Neuroscience 15 credits
• Statistical Methods 15 credits
• Cortical Modelling 15 credits
• Cognitive Neuroscience 15 credits
• Modelling Cognitive Functions 15 credits
• Advanced Quantitative Methods 15 credits
• You will undertake a 60 credit research project investigating an aspect of cognitive neuroscience using computational modelling, advanced data analysis methods, or a combination of these techniques. Culminating in a 10,000 word dissertation, the project will be carried out by combining the computational, experimental and data analysis skills that students will acquire over Term 1 and 2.

Option modules
You will choose one option from the following two modules:

• Data Programming 15 credits
• Introduction to coding with MATLAB 15 credits

You will also choose one of the following options:

• Neural Networks 15 credits
• Machine Learning 15 credits
• Natural Computing 15 credits
• Research Design and Analysis 15 credits
• Critical Analysis 15 credits
• Physical Computing 1 15 credits
• Behavioural Genetics 15 credits
• Artificial Intelligence 15 credits