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 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.
Why study this course?
- This cutting-edge programme 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.
- Graduates of this programme will gain a competitive edge in the job market over graduates of other, standard programmes in related fields.
Contact the department
Modules & structure
You will study the following core modules:
|Foundations of Neuroscience||15 credits|
|Statistical Methods||15 credits|
|Cortical Modelling||15 credits|
|Cognitive Neuroscience||15 credits|
|Modelling Cognitive Processes and Higher Order Brain Functions||15 credits|
|Advanced Quantitative Methods||15 credits|
You will also 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.
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 4 options:
|Neural Networks||15 credits|
|Machine Learning||15 credits|
|Natural Computing||15 credits|
|Research Design and Analysis||15 credits|
Please note that due to staff research commitments not all of these modules may be available every year.
Computing at Goldsmiths is ranked: 3rd in London* 17th in the UK for the quality of our research** and in the world's elite***
The Department of Computing offers a creative, contemporary and pioneering approach to the discipline.
From developing computers that can compose music and paint pictures, to defining and implementing new social media tools and applications, we aim to invigorate computing and the world around it.
Learn by doing
We place a great emphasis on creativity, independence and ‘learning by doing’. Students undertake practical work in real-world situations, carrying out projects in ways that mirror industry practice.
We also promote an interdisciplinary approach to the subject: from computational arts to games and entertainment, and from data science to digital journalism.
You’ll be taught by industry experts – our academics are deeply engaged in current research, with many applying their knowledge and skills to developing cutting-edge technology. And we have close links with industry, too, regularly inviting leading professionals to deliver lectures and talks.
Find out more about the Department of Computing.
*Guardian University League Tables 2017
**Research Excellence Framework 2014, Times Higher Education research intensity subject rankings
***QS World University Rankings by Subject 2017
Psychology at Goldsmiths is ranked joint 3rd in the UK
for the quality of our research*, and in the world's elite**
How does music affect mood?
Why do some people believe in the paranormal?
How do people with autism think?
In the Department of Psychology we try and investigate questions like this, conducting research that’s relevant to a range of sectors and industries – from advertising to education, and from banking to the public sector.
You’ll be taught by experts in the field, who are carrying out research that’s world class. And you’ll learn in a department with excellent specialist and general-purpose research laboratories, including:
- EEG and brain stimulation labs for neuroscience research
- a visual perception and attention laboratory equipped with state-of-the-art eye tracking systems
- an infant lab
- in-house technical support staff
Find out more about the Department of Psychology.
*Research Excellence Framework 2014, Times Higher Education research intensity subject rankings
**QS World University Rankings by Subject 2017
Skills & careers
Graduates of this programme will have the following assets in their portfolio:
- A sound understanding of brain mechanisms and structures underlying cognition and behaviour
- 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.
Such a cross-disciplinary profile will make graduates of this Masters particularly competitive on the job market, especially when applying for positions that require complementary expertise and skills.
The course prepares students for employment in areas including cognitive neuroscience, IT consultancy, cognitive robotics, as well as large enterprises developing software systems inspired by human cognition (e.g., web-search engines, systems for natural language processing, information extraction, data mining and human-computer interaction).
The course is also ideal preparation for further study at PhD level.
Maria’s research focuses on the processes and brain mechanisms mediating learning and monitoring of sensorimotor sequences, both in healthy human subjects and in patients with movement disorders. She uses electroencephalography (EEG), magnetoencephalography (MEG) and intra-craneal recordings to investigate the brain activity along cortico-basal ganglia-thalamocortical circuits.
Max’s research lies at the intersection of computational and cognitive neuroscience. He focuses on the implementation of biologically-realistic neural network models closely mimicking the structure, connectivity, and physiology of the human cortex. These models are applied to simulate and explain the cortical mechanisms underlying the spontaneous emergence of cognitive function - especially, language, but also, memory, attention, and “free” decisions.
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
We accept a wide range of international qualifications. Find out more about the qualifications we accept from around the world.
English language requirements
If English isn’t your first language, you’ll need to meet our English language requirements to study with us.
For this programme we require:
IELTS 6.5 with a 6.5 in writing and no element lower than 6.0
If you need assistance with your English language, we offer a range of courses that can help prepare you for postgraduate-level study.