Taught course

Data Analytics

University of Glasgow · College of Science and Engineering

Entry requirements

A first degree equivalent to a UK Upper Second Class Honours degree, normally with a substantial Mathematics component (at least equivalent to Level-1 courses in Mathematics and Level-2 courses in Calculus and Linear Algebra at the University of Glasgow). Graduates who only have the equivalent of A-Level Mathematics can also be admitted to the programme. However such candidates are required to work through self-study material provided and attend a pre-sessional course in Elementary Mathematics (to be taught in the two weeks preceding the start of the teaching period of semester 1).

Months of entry


Course content

Data is becoming an ever increasing part of modern life, yet the talent to extract information and value from complex data is scarce. This Masters will provide you with a thorough grounding in state-of-the art methods for learning from data, both in terms of statistical modelling and computation. You will also gain practical hands-on experience in carrying out various data-driven analytical projects. Previous study of Statistics or Computing Science is not required.

  • The University of Glasgow’s School of Mathematics and Statistics is ranked 3rd in Scotland and 11th in the UK (Complete University Guide 2017).
  • The Statistics Group at Glasgow is the largest Statistics group in Scotland and internationally renowned for its research excellence.

Information for international students

Please see the English language requirements.

Fees and funding

UK students
Full time £7,650
International students
Full time: EU £7,650 Non EU £20,150

Please see the range of scholarships that are on offer.

Qualification and course duration


full time
12 months

Course contact details

Dr Ludger Evers and Dr Sujarit Ray: