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Data Science at University of Glasgow - UCAS

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

The Masters in Data Science is a specialist version of the MSc (Computing Science) which will provide you with a thorough grounding in the analysis and use of large data sets together with experience of conducting a substantial development or research project focused on Data Science techniques, preparing you for responsible positions in the Big Data and IT industries. WHY THIS PROGRAMME

  • The School of Computing Science is ranked within the top 10 in the UK (Complete University Guide 2025).
  • The School is a member of the Scottish Informatics and Computer Science Alliance: SICSA. This collaboration of Scottish universities aims to develop Scotland's place as a world leader in Informatics and Computer Science research and education.
  • The School works closely with The Data Lab, an internationally leading research and innovation centre in data science whose core mission is to generate significant economic, social and scientific value from data.
  • You will benefit from having 24-hour access to a computer laboratory equipped with state-of-the-art hardware and software.
PROGRAMME STRUCTURE Modes of delivery of the MSc in Data Science include lectures, seminars and tutorials and allow students the opportunity to take part in lab, project and team work. Core Courses Programming and Systems Development (H) Research and Professional Skills (M) Introduction to Data Science and Systems (M) Machine Learning & Artificial Intelligence for Data Scientists (M) MSc Project for Computing Science+ Specialist Courses (choose at least four) Deep Learning for MSc (M) Information Retrieval (M) Web Science for MSc Big Data: Systems, Programming, and Management (M) Text as Data for MSc Security Courses (choose at least one) Cryptography and Secure Development (M) CyberSecurity Fundamentals for MSc (M) Human-Centred Security (M) Cyber Systems Forensics (M) Optional Courses (choose at most one) Human Computer Interaction Design and Evaluation (M) Internet Technology (M) Secured Software Engineering (M) Information Visualisation (M) Mobile Human-Computer Interaction for MSc Please note the availability of optional courses is dependent on staff availability and timetabling constraints.


How to apply

International applicants

International applicant information can be found via gla.ac.uk by searching for 'international'.

Entry requirements

2.1 Hons (or non-UK equivalent) in any degree with Computing as a major subject with at least 50% of credit bearing modules in Computing at an average grade of pass. Please note this programme is not available to recent graduates who have been awarded an undergraduate degree in either Computing Science or Software Engineering from the University of Glasgow.


Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

All fees are published on the University of Glasgow website. https://www.gla.ac.uk/postgraduate/feesandfunding/

Sponsorship information

Sponsorship and funding information can be found via gla.ac.uk by searching for 'scholarships'.

Data Science at University of Glasgow - UCAS