MSc Data Analytics

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Tuition fee
Apply by
Start date
Sep 2025
Sep 2026
Duration
Campus
Mode of study
Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
Offer response
4 - 6 weeks after your application is submitted
Backlogs accepted
This course accepts backlogs

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.

WHY THIS PROGRAMME

  • We work closely with The Data Lab, an internationally leading research and innovation centre in data science. Established with an £11.3 million grant from the Scottish Funding Council, The Data Lab will enable industry, public sector and world-class university researchers to innovate and develop new data science capabilities in a collaborative environment. Its core mission is to generate significant economic, social and scientific value from data. Our students will benefit from a wide range of learning and networking events that connect leading organisations seeking business analytics skills with students looking for exciting opportunities in this field.
  • This programme qualifies for the prestigious Data Lab Masters Scholarships available for Scottish/EU students.
  • The Statistics Group at Glasgow is a large group, internationally renowned for its research excellence.
  • Our expertise spans topics including: biostatistics and statistical genetics; environmental statistics; statistical methodology; statistical modelling and the scholarship of learning and teaching in statistics.

CAREER PROSPECTS

Statistical analysis and data mining is ranked 2nd in the Top 10 Most In-Demand Hard Skills 2018 by LinkedIn. Our graduates have an excellent track record of gaining employment in many sectors including medical research, the pharmaceutical industry, finance and government statistical services, while others have continued to a PhD.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Compulory modules
  • Semester one
  • PROBABILITY (LEVEL M)
  • REGRESSION MODELS (LEVEL M)
  • STATISTICAL INFERENCE (LEVEL M)
  • DATABASE THEORY AND APPLICATION (M)
  • INTRODUCTION TO STATISTICAL PROGRAMMING IN R AND PYTHON
  • Semester two
  • ADVANCED PREDICTIVE MODELS
  • BAYESIAN STATISTICS (LEVEL M)
  • BIG DATA ANALYTICS (LEVEL M)
  • DATA ANALYSIS SKILLS (LEVEL M)
  • DATA MINING AND MACHINE LEARNING
  • Project
  • STATISTICS PROJECT AND DISSERTATION
  • STATISTICS PROJECT AND DISSERTATION (WITH PLACEMENT)
  • Options modules
  • INFORMATION VISUALISATION (M)
  • ENVIRONMENTAL STATISTICS (LEVEL M)
  • SPATIAL STATISTICS (LEVEL M)
  • STATISTICAL GENETICS (LEVEL M)
  • FUNCTIONAL DATA ANALYSIS (LEVEL M)
  • DESIGN OF EXPERIMENTS (LEVEL M)
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Sep 2025
    Sep 2026
    Duration
    Campus
    Mode of study
    Fees and deadlines depend on the selected options. Fees and currency conversion are approximate.
    Offer response
    4 - 6 weeks after your application is submitted
    Backlogs accepted
    This course accepts backlogs