MSc Data Analysis for Business Intelligence

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Tuition fee
Apply by
Start date
Jan 2025
Sep 2025
Sep 2026
Duration
1 year
1.3333333333333333 years
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 McKinsey Global Institute calls big data “the next frontier for innovation, competition and productivity” and estimated the gap in data analysis professionals of approximately 140,000 to 190,000 potential positions.

Businesses and industry have already realised that investment in big data is absolutely necessary to survive in the modern world. The epoch of big data is here. Every day you can find hundreds of data-analysis related vacancies in the UK.

The MSc in Data Analysis for Business Intelligence will prepare you to work with data in the business environment, using mathematical, statistical and computational skills – including data mining and practical database coding skills. This course seeks to train the generation of world-leaders in data analysis and, to this end, you will be taught by world-leaders in the field.

You will learn how to discover knowledge in data as well as honing the data analysis skills required to perform predictive and prescriptive modelling in real-world business situations. Your summer project will let you apply what you have learned to real business problems and meet your possible employers. Our partners for these projects include Eon, General Electric, Weatherford International, ARM and CapitalOne. These projects not only give you an opportunity to meet potential employers, but also to explore options for creating your own start-up company.

This degree is managed by our School of Computing and Mathematical Sciences and includes the option of two industry standard professional IT certifications.

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Requirements

The requirements may vary based on your selected study options.





















Modules

  • Mathematical Modelling
  • Business Statistics
  • Fundamentals of Data Science
  • Data Mining and Neural Networks
  • Financial Services Information Systems
  • Analysis of Algorithms
  • Advanced C++ Programming
  • Practical Programming
  • Computational Partial Differential Equations with Applications
  • Generalised Linear Models
  • Data Analytics for eSports
  • Medical Statistics
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    Use our magical AI system, to check your admission chances for this course.
    Tuition fee
    Apply by
    Start date
    Jan 2025
    Sep 2025
    Sep 2026
    Duration
    1 year
    1.3333333333333333 years
    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