MSc Computational Cognitive Neuroscience
Goldsmiths, University of London
Key Information
Campus location
London, United Kingdom
Languages
English
Study format
On-Campus
Duration
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Pace
Full time, Part time
Tuition fees
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Application deadline
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Earliest start date
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Introduction
MSc Computational Cognitive Neuroscience
Understanding the relationship between brain, cognition and behaviour is one of the biggest challenges the scientific community is currently working on. Computational cognitive neuroscience is a young and exciting discipline that tackles these long-standing research questions by integrating computer modelling with experimental research.
This Masters program will foster a new generation of scientists who will be trained in both neuro-computational modelling as well as cognitive neuroscience. Its core topics include:
- Creating computational/mathematical models of neurons, circuits and cognitive functions
- The fundamentals of cognitive neuroscience (brain mechanisms and structures underlying cognition and behaviour)
- Advanced data analysis and neuroimaging techniques
The program is suitable for students from a variety of disciplines including– but not limited to– psychology, computing, neuroscience, engineering, biology, maths and physics. Students with no prior programming experience are welcome.
Graduates of this Masters will acquire a unique set of complementary skills that will make them extremely competitive in securing research or analyst positions in both academia and industry.
Why study this course?
- This cutting-edge program is at the forefront of a new, rapidly emerging field of research.
- It is multidisciplinary, conveying the theory and practice of computational and cognitive neurosciences.
- You can do your final research project in collaboration with a variety of international companies, paving the way for employment and internship opportunities. Currently, our panel of industrialists and collaborators includes representatives from Sony Japan, Bayer, Filament, LiquidWeb, and DeepWave Technologies.
- Graduates of this program will gain a competitive edge in the job market over graduates of other, standard programs in related fields.
Admissions
Scholarships and Funding
Several scholarship options are available. Please check the university website for more information.
Curriculum
Compulsory modules
- Foundations of Neuroscience
- Statistical Methods
- Cortical Modelling
- Cognitive Neuroscience
- Modelling Cognitive Functions
- Advanced Quantitative Methods
Option modules
- Data Programming
- Introduction to coding with MATLAB
- Neural Networks
- Machine Learning
- Natural Computing
- Research Design and Analysis
- Critical Analysis
- Physical Computing 1
- Behavioural Genetics
- Artificial Intelligence
Program Tuition Fee
Career Opportunities
While studying your program you will have access to the Goldsmiths Careers Service, who can give you tailored advice according to your own skills and interests. You can also seek advice from the tutors on your course.
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
You may also choose to extend and deepen your academic study by undertaking a PhD in computational cognitive neuroscience or a related field.
English Language Requirements
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