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

The MSc Data Analytics is designed to create rounded data analytics problem-solvers. it focuses on the uses of data analytics techniques within business contexts, making informed decisions about appropriate technology to extract knowledge from data and understanding the theoretical principles by which such technology operates.

You will gain a comprehensive skill set that will enable you to work in a variety of sectors using a blended learning approach that combines theory, intensive practice and industrial engagement.

The degree has been jointly developed by the Departments of Management Science, Mathematics & Statistics and Computer & Information Sciences. It brings together essential skills from all three departments in order to address the needs of a fast-growing industry.

This collaboration avoids the narrow interpretation of this subject offered by competitor institutions and presents significant opportunities for businesses to recruit data analytics experts with a high-level expertise and knowledge.

You will have optional opportunities to complete your MSc summer dissertation projects in client-based projects, where a number of host organisations will be arranged by the department.

Assessment

Assessment methods include a mix of written assignments, exams, practical team projects, presentations and individual projects.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Big Data Fundamentals
  • Big Data Tools & Techniques
  • Data Analytics in R
  • Business & Decision Modelling
  • Optimisation for Analytics
  • Data Analytics in Practice
  • Database Fundamentals
  • Evolutionary Computation for Finance 1
  • Evolutionary Computation for Finance 2
  • Legal, Ethical & Professional Issues for the Information Society
  • Fundamentals of Machine Learning for Data Analytics
  • Machine Learning for Data Analytics
  • Financial Econometrics (10 credits)
  • Bayesian Spatial Statistics (20 credits)
  • Mathematical Introduction to Networks
  • Stochastic Modelling for Analytics
  • Business Simulation Modelling
  • Risk Analysis & Management
  • Business Information Systems
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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