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Computational Neuroscience and Neuroinformatics MSc

Computational Neuroscience and Neuroinformatics MSc

Different course options

Study mode

Full time

Duration

12 months

Start date

SEP

Key information
DATA SOURCE : IDP Connect

Qualification type

MSc - Master of Science

Subject areas

Bioinformatics

Course type

Taught

Course Summary

This course provides specialist expertise in core neuroinformatics (such as computing and biology) focusing on the development of research skills. It equips you with the skills to contribute to biologically realistic simulations of neural activity and developments. These are rapidly becoming the key focus of neuroinformatics research.

Newcastle is among the pioneers of neuroinformatics in the UK and hosted the £4m EPSRC-funded CARMEN project for managing and processing electrophysiology data. We are currently involved in a £10m EPSRC/Wellcome Trust-funded project. This is on implantable devices for epilepsy patients. We use computer simulations to inform about the stimulation location and protocol.

As the amount of data in the neurosciences increases, new tools for data storage and management are needed. These tools include cloud computing and workflows, as well as better descriptions of neuroscience data. Available data can inform computer simulations of neural dynamics and development. Parallel computing and new algorithms are needed in order to run large-scale simulations. There is high demand within academia as well as within industry involving healthcare informatics, brain-inspired computing, and brain-inspired hardware architectures.

The course is designed for students who have a good degree in the biological sciences (including medicine) or the physical sciences (computer science, mathematics, physics, engineering).

You will gain foundational skills in bioinformatics together with specialist skills such as computing programming, mathematics and molecular biology with a significant focus on the development of research skills.

We provide a unique, multidisciplinary experience that is essential for understanding neuroinformatics. The course draws together the highly-rated teaching and research expertise of our Schools of Computing Science, Mathematics and Statistics, Natural and Environmental Sciences and Faculty of Medical Sciences. We also have strong links with the International Neuroinformatics Coordinating Facility (INCF).

Research is a large component of this course. The emphasis is on delivering the research training you will need in the future to effectively meet the demands of industry and academia. Newcastle's research in life sciences, computing and mathematics is internationally recognised.

The teaching staff are successful researchers in their field and publish regularly in highly-ranked systems neuroinformatics journals. Find out more about the neuroinformatics community at Newcastle University.

Graduates of this course may want to apply for PhD studies at the School of Computing. In the past, all graduates have continued their career as PhD students either at Newcastle University or elsewhere.

Our experienced and friendly staff are on hand to help you. You gain the experience of working in a team in an environment with the help, support and friendship of fellow students.

Accreditation

We have a policy of seeking British Computer Society (BCS) accreditation for all of our degrees, so you can be assured that you will graduate with a degree that meets the standards set out by the IT industry.

Modules

The module will introduce concepts of computational neuroscience in simulating and analyzing neural network activity. A focus of the course will be the relation between network structure and function at different scales of the nervous system through mathematical analyses and computational modeling. Lectures will review neurobiological concepts and Neuroinformatics tools for accessing neuroscience data as well as mathematical approaches for representing neural systems. During tutorials, students will present recent articles in the field. Complementary practical sessions will provide an opportunity to become familiar with widely used neural modeling packages (e.g. Neuron and MATLAB).

Tuition fees

UK fees
Course fees for UK / EU students

For this course (per year)

£12,150

Average for all Postgrad courses (per year)

£5,202

International fees
Course fees for non-UK / EU students

For this course (per year)

£24,000

Average for all Postgrad courses (per year)

£12,227

Entry requirements

A 2:1 honours degree, or international equivalent, in a science discipline, or an MBBS degree with high grades. Practical laboratory work experience is desirable, although not essential.

University information

Newcastle University is a world-leading university, advancing knowledge, providing creative solutions and solving global problems. The university is a founding member of the prestigious Russell Group, one of 24 leading research-intensive UK universities. In recent years, Newcastle University has developed a presence in three similarly vibrant and globally-connected locations – London, Singapore and Malaysia. These provide both a global...more

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