[Neuroinfo] Master programme in Neuroinformatics and Computational Neuroscience

Marcus Kaiser mail at mkaiser.de
Tue Jan 30 14:03:14 CET 2018

Dear all,

Please forward the following to interested final year UG students.

our one-year master degree program in Neuroinformatics and Computational
Neuroscience at Newcastle University is now accepting student applications.
The course focuses on handling brain connectivity datasets, analyzing
electrophysiological recordings, and simulating neural activity and
development. Applications range from theoretical neuroscience and machine
learning to experimental and clinical research. There are more than a dozen
faculty members in the areas of Neuroinformatics, Health Informatics, and
Neurotechnology within Newcastle University (see overview at
http://neuroinformatics.ncl.ac.uk/ ).

Close interactions with experimental and clinical researchers are a key
component of the course and the dissertation research project. Ongoing
research areas in Newcastle include neuroimaging, psychophysics, systems
neuroscience (visual, auditory, and motor system), ageing,
neurorehabilitation, brain rhythms, brain-machine interfaces, neurochips,
and connectomics (http://www.ncl.ac.uk/ion ). Newcastle University hosts
around 100 principal investigators in the neurosciences.

You can find out more about the program and how to apply at


The MSc in Neuroinformatics is a full-time, one-year advanced masters
course designed for students who have a good degree in the biological
sciences or the physical sciences (computer science, mathematics, physics,
engineering). It provides the specialist skills in core Neuroinformatics
courses (such as computing and biology) with a significant focus on the
development of research skills. Prior experience with computers or computer
programming is not required. The program is ideal for students aiming for
careers in industry or academia. The course is based in the School of
Computing but there are strong links with biomedicine, engineering, and the
Institute of Neuroscience.


The MSc in Neuroinformatics is a truly interdisciplinary degree and
provides the dual skills necessary to establish a rewarding career in this
research area. The Newcastle program has a research focus on data
management, network analysis (e.g. Kaiser, Neuroimage, 2011), and
simulation.  Newcastle is among the pioneers of the field in the UK and
hosted the £4m EPSRC-funded CARMEN project for managing and processing
electrophysiology data. We are currently involved in the £10m
EPSRC/Wellcome Trust-funded CANDO project for developing an implantable
optogenetic device for epilepsy patients (http://www.cando.ac.uk/ ).
Newcastle has strong links with the International Neuroinformatics
Coordinating Facility (INCF). Currently, members of the faculty lead
Neuroinformatics UK (http://www.neuroinformatics.org.uk/ ) and co-chair the
Neuroinformatics Special Interest Group of the British Neuroscience
Association (BNA).


Semester 1 contains modules to build the basic grounding in, and
understanding of, Neuroinformatics theory and applications, mathematics and
statistics, and programming. Semester 2 introduces modules that focus
heavily on introducing subject-specific research skills and includes
options for choosing modules. A major part of the programme is a research
project that will occupy approximately six months. This project may be
associated with staff in any of the Schools mentioned above, thus providing
a wide range of exciting areas in which the newly learnt Neuroinformatics
skills can be deployed.


Applications for this program are now being accepted. Please see
computational-neuroscience-neuroinformatics-msc/#profile for more




Marcus Kaiser, Ph.D.  FRSB  @ConnectomeLab

Professor of Neuroinformatics

Interdisciplinary Computing and Complex Biosystems (ICOS) Research Group

School of Computing

Urban Sciences Building

Newcastle University

1 Science Square

Science Central

Newcastle upon Tyne



Lab website:


Neuroinformatics at Newcastle:


Neuroinformatics UK:


Neuroinformatics one-year master programme:

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