MSc Computational Cognitive Neuroscience

Course Introduction

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 programme 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 programme 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.

Skills

Graduates of this programme will gain the following skills and knowledge:

* A sound understanding of brain mechanisms and structures underlying cognition and behaviour

* Understanding of how memory, attention and decision-making work

* Knowledge or experience of experimental cognitive neuroscience methods

* Skills in statistical data analysis

* Knowledge of theory and practice of biologically constrained neural models of human brain function

* Computer programming skills

* Research, analytical, communication and software skills.

Start Date

2020-SEP-21. 2020-SEP-21.

Tuition & Fees

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £10,450 Home Fees
1 year
Full Time
MSc £10,450 European Fees
1 year
Full Time
MSc £15,500 Overseas Fees
2 years
Part Time
MSc £5,225 Home Fees
2 years
Part Time
MSc £5,225 European Fees
2 years
Part Time
MSc £7,750 Overseas Fees

Qualifications Required

  • Domestic entry requirements: Students need to have 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.
  • International entry requirements: Students need to have 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. Students need to have an IELTS score of 6.5 with a 6.5 in writing and no element lower than 6.0. TOEFL: 90 overall with 23 in Writing and 21 in each other skill.
  • TOEFL score: 90