Research course

Informatics: ANC: Machine Learning, Computational Neuroscience, Computational Biology

Institution
University of Edinburgh · School of Informatics
Qualifications
MSc by researchPhDMPhil

Entry requirements

All applicants must meet our general entry and language requirements.

Months of entry

January, December, November, October, September, August, July, June, May, April, March, February

Course content

The Institute for Adaptive and Neural Computation (IANC) is a world-leading institute dedicated to the theoretical and empirical study of adaptive processes in both artificial and biological systems. We are one of the UK’s largest and most prestigious academic teams in these fields.

Our research falls into three areas:

  • machine learning
  • computational neuroscience
  • computational biology.

In machine learning we develop probabilistic methods that find patterns and structure in data, and apply them to scientific and technological problems. Applications include areas as diverse as astronomy, health sciences and computing.

In computational neuroscience and neuroinformatics we study how the brain processes information, and analyse and interpret data from neuroscientific experiments

The focus in the computational biology area is to develop computational strategies to store, analyse and model a variety of biological data (from protein measurements to insect behavioural data).

Fees and funding

Visit Scholarships and Student Funding Services at http://www.ed.ac.uk/schools-departments/student-funding/postgraduate

Qualification and course duration

MSc by research

full time
12 months
part time
24 months

PhD

full time
36 months
part time
72 months

MPhil

part time
48 months
full time
24 months

Course contact details

Name
School of Informatics Graduate School
Email
phd-admissions@inf.ed.ac.uk
Phone
+44 (0) 131 650 3091