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

The University of Edinburgh

12 months
Duration
31100 GBP/year
9700 GBP/year
Unknown
Tuition fee
Anytime
Unknown
Apply date
Unknown
Start date

About

The Informatics - ANC - Machine Learning, Computational Neuroscience, Computational Biology programme offered by The University of Edinburgh 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.

Overview

In the Informatics - ANC - Machine Learning, Computational Neuroscience, Computational Biology programme offered by The University of Edinburgh 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.

Career opportunities:

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.

Programme Structure

  • 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.

Key information

Duration

  • Full-time
    • 12 months
  • Part-time
    • 24 months

Start dates & application deadlines

More details

Applications and can be submitted all year round.

Delivered

On Campus

Academic requirements

GPA admission requirements GPA
Upper Second Class

Other requirements

General requirements

  • 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.

Tuition Fee

To alway see correct tuition fees
  • International

    31100 GBP/year
    Tuition Fee
    Based on the tuition of 31100 GBP per year during 12 months.
  • National

    9700 GBP/year
    Tuition Fee
    Based on the tuition of 9700 GBP per year during 12 months.

MScR Part-time fees: 

  • Home - £4,850
  • International/EU - £15,550

MPhil FT, fees per year 

  • International/EU: £28,000

MPhil PT, fees per year 

  • International/EU: £14,000

Living costs for Edinburgh

725 - 1167 GBP /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

 

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Informatics - ANC - Machine Learning, Computational Neuroscience, Computational Biology
-
The University of Edinburgh

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