POSTGRADUATE TAUGHT  DATA SCIENCE MSC

Postgraduate programme

POSTGRADUATE TAUGHT DATA SCIENCE MSC

Offered by UNIVERSITY OF GLASGOW

ON-CAMPUS: GLASGOW Direct university enquiry No obligation

Programme overview

Why choose this programme?

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.
You will be well qualified for responsible software development positions, not only in the IT sector but also in many other sectors such as education, engineering, health services, financial services, government, manufacturing, retail, and transport. Expertise in Data Science & Big Data is particularly prized by employers. You will also be well qualified to proceed to a PhD in computing science.

Graduates of this programme have been employed by companies such as Scottish Water, Hewlett Packard Enterprise, Expedia, EY, JP Morgan & Chase and Sky UK. Positions include Software Developer, System Designers and Data Scientists.

Modality

ON-CAMPUS: GLASGOW

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.

Dates and duration

12 months

Next Date: September

Career opportunities

Where this programme can take you


You will be well qualified for responsible software development positions, not only in the IT sector but also in many other sectors such as education, engineering, health services, financial services, government, manufacturing, retail, and transport. Expertise in Data Science & Big Data is particularly prized by employers. You will also be well qualified to proceed to a PhD in computing science.

Graduates of this programme have been employed by companies such as Scottish Water, Hewlett Packard Enterprise, Expedia, EY, JP Morgan & Chase and Sky UK. Positions include Software Developer, System Designers and Data Scientists.

SYLLABUS

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.

Details for the new courses for the next academic year (shown above in black rather than blue) will be available in August.