Entry requirements

  • At least a 2:1 degree at Undergraduate level or equivalent. We consider applications from a wide range of degrees including economics, business, engineering, psychology, geography, sociology, and politics. The course requires demonstration of strong numeracy, IT and/or statistical ability.

English language requirements

You can find out more about our English language requirements. This course requires the following:

    • Band B
    • IELTS overall score of 7.0, minimum component scores of two at 6.0/6.5 and the rest at 7.0 or above.

Months of entry


Course content

Ranked 2nd in the UK and 14th in the world in the QS University Rankings 2024 for MSc Business Analytics, the course features a broad range of theory and applications in analytics.

The course offers you the opportunity to gain in-depth theoretical and applied knowledge of business analytics, and to provide insights on how to analyse business problems and solve them using a variety of operational research, statistics and machine learning techniques.

You will also gain a cross-disciplinary training in business models, quantitative methods and data science by covering descriptive, predictive and prescriptive analytics, and be prepared for working in complex data-driven environments through building up quantitative consultancy skills and developing programming skills.

You will also be guided in optionally obtaining certification as Associate Certified Analytics Professional. This globally recognised certification is offered by the INFORMS (USA) and The OR Society (UK), and the required knowledge to pass the certification exam is closely aligned with the core content of this course.

You will cover a balance of descriptive, predictive, and prescriptive analytics, involving visualisation (Tableau), forecasting and data mining techniques, and optimisation.

Skills from this degree

  • Learn how to gain business insights from large data sets through a range of cutting-edge techniques
  • Cover a diverse set of descriptive, predictive, and prescriptive analytics modules, aligned with industry trends
  • Continue developing your programming skills in SQL, R, and Python
  • Prepare to step directly into business by conducting an external consultancy project with a real client or putting your learnings into practice with the applied Business in Practice module
  • Develop your industry acumen by accessing our CareersPlus service with specialist careers coaches.

Fees and funding

See University website

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Masters Recruitment Team
+44 (0)24 7615 0333