Postgraduate study

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

Awards: PhD, MPhil, MScR

Study modes: Full-time, Part-time

Funding available

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.

We foster world-class interdisciplinary and collaborative research bringing together a range of disciplines.

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).

Find out more about compulsory and optional courses

We link to the latest information available. Please note that this may be for a previous academic year and should be considered indicative.

AwardTitleDurationStudy mode
MScRInformatics1 YearFull-timeProgramme structure 2017/18

You carry out your research within a research group under the guidance of a supervisor. You will be expected to attend seminars and meetings of relevant research groups and may also attend lectures that are relevant to your research topic. Periodic reviews of your progress will be conducted to assist with research planning.

A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.

The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.

The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.

It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.

Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.

Among our entrepreneurial initiatives is Informatics Ventures, set up in 2008 to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.

The research you will undertake at ANC is perfectly suited to a career in academia, where you’ll be able to use your knowledge to advance this important field. Some graduates take their skills into commercial research posts, and find success in creating systems that can be used in everyday applications.

A UK 2:1 honours degree, or its international equivalent, typically in an area of informatics, such as artificial intelligence, cognitive science or computer science. You should have experience in computer programming.

We may also consider a UK 2:1 honours degree, or its international equivalent, in engineering, linguistics, mathematics, philosophy, physics or psychology.

IANC researchers come from many different academic backgrounds, but most of our research requires prior training in mathematics.

International qualifications

Check whether your international qualifications meet our general entry requirements:

English language requirements

All applicants must have one of the following qualifications as evidence of their English language ability:

  • an undergraduate or masters degree, that was taught and assessed in English in a majority English speaking country as defined by UK Visas and Immigration

  • IELTS Academic: total 6.5 with at least 6.0 in each component
  • TOEFL-iBT: total 92 with at least 20 in each section
  • PTE(A): total 61 with at least 56 in each of the Communicative Skills scores
  • CAE and CPE: total 176 with at least 169 in each paper
  • Trinity ISE: ISE II with distinctions in all four components

Degrees taught and assessed in English must be no more than two and a half years old at the beginning of your degree programme. Language tests must be no more than two years old at the beginning of your degree programme.

Find out more about our language requirements:

Academic Technology Approval Scheme

If you are not an EU, EEA or Swiss national, you may need an Academic Technology Approval Scheme clearance certificate in order to study this programme.

  • School of Informatics Graduate School
  • 6th Floor, Appleton Tower
  • Central Campus
  • Edinburgh
  • EH8 9LE

We encourage you to apply at least one month prior to entry so that we have enough time to process your application. If you are also applying for funding or will require a visa then we strongly recommend you apply as early as possible. We may consider late applications if we have places available, but you should contact the relevant Admissions Office for advice first.

You must submit two references with your application.

Find out more about the general application process for postgraduate programmes:

Further information

  • School of Informatics Graduate School
  • 6th Floor, Appleton Tower
  • Central Campus
  • Edinburgh
  • EH8 9LE