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Data Science (Taught)

Course details
  • 2 Study options
  • Postgraduate
Course location
Gilmorehill (Main) Campus

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 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.

How to apply

Open days

Fees and funding

Choose a specific option to see funding information.

Course options

Sponsorship information

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

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