Understanding the human brain is one of the grand challenges of science and is important for basic science, health, and technology.
- Year of entry: 2020
- Duration: 1 year full-time
- Mode of study: Full-time
- Entry requirements:
- 2:1 (or international equivalent);
- 2:2 (or international equivalent) may be considered provided the applicant has at least one year of relevant work experience or another supporting factor; for quantitatively minded students with a background in psychology, neuroscience, or biosciences as well as those with training in physics, engineering, mathematics, or computer science; no specific biology or computer knowledge required
- IELTS: 6.5 with at least 6.0 in each element
- UK/EU fees: £9045
- International fees: £23175
- Start date: September
- Course location: University Park
- School/Department: Psychology
- An interdisciplinary course that uniquely combines aspects of psychology, mathematics and computer science
- Computational neuroscience aims to better understand brain function, develop better analysis tools for neural data and inspire artificial intelligence algorithms
A number of developments make this course particularly relevant:
- Recent successes in machine learning are based on analogies with animal brains, i.e. artificial neural networks; these successes have put the analysis of brain computation at the forefront once more
- In particular, the study of the biological brain is being considered as a way to resolve some outstanding issues in AI, such as learning with a limited number of samples, generalisation, and the development of explainable AI
- The study of the brain is currently undergoing a revolution as computational models are becoming powerful and accurate enough to complement experimental approaches
- Revolutions in experimental recording methods necessitate the use of advanced analysis methods to deal with the enormous volume of data that these methods can produce
What you'll learn
- How the brain is believed to work on the cellular, network and systems level
- How to develop mathematical models of brain function and how to implement them in simulations
- How cognitive phenomena are related to brain activity
- Current AI algorithms and how they are based on neuroscience findings
- An inventory of experimental approaches to measure and analyse brain function
Some topics that will receive particular attention are how:
- Memories are stored and organised in the brain
- Networks of neurons perform computations
- Visual illusions find their origins in neural circuits
- Machine Learning in Science - Part one
- Computational Cognitive Psychology
- Neural Computation
- Research project
- Practical Biomedical Modelling
- Computer Vision
- Applied Nonlinear Dynamics
- Machine Learning in Science - Part one
- The Physics of Deep Learning
- Advanced Methods in Psychology
- Analytical Research Methods
- Data Analysis for Neuroimaging
The above is a sample of the typical modules that we offer but is not intended to be construed and/or relied upon as a definitive list of the modules that will be available in any given year. This course page may be updated over the duration of the course, as modules may change due to developments in the curriculum or in the research interests of staff.
Teaching methods and assessment
How you'll be taught
Gain hands-on experience in computational neuroscience research through a blend of traditional courses, individual and group projects.
Emphasis will be on the direct application of the theoretical foundations. You will learn the relevant neuroscience and computer knowledge as the course progresses.
You will be assessed using exams, coursework, and project reports.
Careers and professional development
This course will provide ideal preparation for a PhD in computational neuroscience, psychology or artificial intelligence.
Those who take up a postgraduate research opportunity with us will not only receive support in terms of close contact with supervisors and specific training related to your area of research, you will also benefit from dedicated careers advice from our Careers and Employability Service.
Other careers include:
- Biomedical modelling
- Artificial intelligence
- Data science
- Brain imaging
Average starting salary and career progression
94.7% of postgraduates from the School of Psychology secured work or further study within six months of graduation. £28,000 was the average starting salary, with the highest being £40,000.*
* Known destinations of full-time home postgraduates who were available for employment, 2016/17. Salaries are calculated based on the median of those in full-time paid employment within the UK.
Careers support and advice
We offer individual careers support for all postgraduate students whatever your course, mode of study or future career plans.
You can access our Careers and Employability Service during your studies and after you graduate. Expert staff will help you research career options and job vacancies, build your CV or résumé, develop your interview skills and meet employers.
More than 1,500 employers advertise graduate jobs and internships through our online vacancy service. We host regular careers fairs, including specialist fairs for different sectors.
Fees and funding
As a student on this course, we do not anticipate any extra significant costs, alongside your tuition fees and living expenses. You should be able to access most of the books you’ll need through our libraries, though you may wish to purchase your own copies which you would need to factor into your budget.
Scholarships and bursaries
Government loans for masters courses
Masters student loans of up to £10,906 are available for taught and research masters courses. Applicants must ordinarily live in the UK or EU.
International and EU students
Masters scholarships are available for international and EU students from a wide variety of countries and areas of study. You must already have an offer to study at Nottingham to apply. Please note closing dates to ensure you apply for your course with enough time.
This online prospectus has been drafted in advance of the academic year to which it applies. Every effort has been made to ensure that the information is accurate at the time of publishing, but changes (for example to course content) are likely to occur given the interval between publishing and commencement of the course. It is therefore very important to check this website for any updates before you apply for the course where there has been an interval between you reading this website and applying.
About the School
The Faculty of Science undertakes world-class research spanning wide-ranging topics including quantum physics, plant genomics, human imaging, sustainable chemistry, neuroscience, mathematical modellin ... Read More