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University of Glasgow: Data Science
| Institution | University of Glasgow View institution profile |
|---|---|
| Department | School of Computing Science |
| Web | glasgow.ac.uk |
| Study type | Taught |
MSc
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.
| Level | SCQF Level 11 |
|---|---|
| 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. |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
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.
| Level | SCQF Level 11 |
|---|---|
| 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. |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
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 7th in the UK (Complete University Guide 2022).
-
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. The Data Lab funds several research projects within the School, and holds numerous data science seminar, networking and coding events throughout the year. In addition, this year the Data Lab is offering 9 funded MSc(Data Science) places to home and EU students.
-
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 (M) INFORMATION RETRIEVAL (M) WEB SCIENCE (M) RECOMMENDER SYSTEMS (M) TEXT AS DATA - AN INTRODUCTION TO DOCUMENT ANALYTICS (M)
Security Courses (choose at least one) CYBER SECURITY FUNDAMENTALS (M) HUMAN-CENTRED SECURITY (M)
Optional Courses (choose at most one) HUMAN COMPUTER INTERACTION DESIGN AND EVALUATION (M) INTERNET TECHNOLOGY (M) SECURED SOFTWARE ENGINEERING (M)
Please note the availability of optional courses is dependent on staff availability and timetabling constraints.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a 2.1 Honours degree or equivalent (eg GPA 3.0/4 or equivalent) with Computing Science as a major subject. |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
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 7th in the UK (Complete University Guide 2022).
-
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. The Data Lab funds several research projects within the School, and holds numerous data science seminar, networking and coding events throughout the year. In addition, this year the Data Lab is offering 9 funded MSc(Data Science) places to home and EU students.
-
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 (M) INFORMATION RETRIEVAL (M) WEB SCIENCE (M) RECOMMENDER SYSTEMS (M) TEXT AS DATA - AN INTRODUCTION TO DOCUMENT ANALYTICS (M)
Security Courses (choose at least one) CYBER SECURITY FUNDAMENTALS (M) HUMAN-CENTRED SECURITY (M)
Optional Courses (choose at most one) HUMAN COMPUTER INTERACTION DESIGN AND EVALUATION (M) INTERNET TECHNOLOGY (M) SECURED SOFTWARE ENGINEERING (M)
Please note the availability of optional courses is dependent on staff availability and timetabling constraints.
| Level | SCQF Level 11 |
|---|---|
| Entry requirements | A minimum of a 2.1 Honours degree or equivalent (eg GPA 3.0/4 or equivalent) with Computing Science as a major subject. |
| Location | Gilmorehill (Main) Campus University Of Glasgow University Avenue Glasgow G12 8QQ |
The University of Glasgow is one of the UK’s most prestigious seats of learning, and the fourth oldest university in the English speaking world. Established in 1451 and recognised for its world-changing research and teaching, our people have always been at the forefront of innovation, including eight Nobel Laureates, two UK Prime Ministers, three First Ministers of Scotland, 10 Fellows of the Royal Society and 11 Fellows of the British Academy. Our past achievements inspire our current world changers.
Rankings
The University:
- is ranked 79th in the world: QS World University Rankings 2025
- is …
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