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0a

Explore our Business Analytics taught Master's degree.

10

Business Analytics students at the University of Warwick

2a

P-N1N3

2b

MSc

2c

1 year full-time

2d

25 September 2023

2f

University of Warwick

3a

Build your quantitative consultancy skills on the Business Analytics MSc. One of the world’s first business analytics courses, Warwick Business School will help you gain an understanding of the role of business analytics within an organisation, improve your business acumen and communication skills, and get commercial research experience.

3b

Ranked 12th in the world and 3rd in the UK in the QS University Rankings 2022 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

3d

You will study five core modules and two required modules, alongside either two optional modules and a dissertation, or three optional modules and the Business in Practice module.

Please note that availability and delivery modes may vary.

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The class size for this course is around 180 students.

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Delivery of modules varies – some are taught over the course of a term, whilst others are delivered in an intensive 5-day block.

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Assessment is usually a mix of exams, group projects and coursework.

Choice of Dissertation or Business in Practice route:

Dissertation route

If you are considering further academic study (PhD) or develop your theoretical and practical understanding of current business problems and you would like the opportunity to research a topic relating to business analytics, the 10,000-word dissertation will enable you to test and apply the techniques and theories you have gained. Your dissertation project will either be as a consultant to an organisation or as applied research.

Business in Practice route

If you would like to develop further applied skills and specialist knowledge to suit your career aspirations, you can complete your studies with our applied Business in Practice module. You will develop deep functional and industry expertise with practical insights from our faculty and our CareersPlus and Corporate Relations team.


Reading lists

Most departments have reading lists available through Warwick Library. If you would like to view reading lists for the current cohort of students you can visit our Warwick Library web page.


Your timetable

Your personalised timetable will be complete when you are registered for all modules, compulsory and optional, and you have been allocated to your lectures, seminars and other small group classes. Your compulsory modules will be registered for you and you will be able to choose your optional modules when you join us.

There may be events taking place in the evenings. Classes may run up to 7pm and other events, such as careers presentations may take place later or on weekends. Occasionally, classes and exams may be held on weekends. We will notify you in advance if this is the case.

This is a full-time course, so there are no holidays as such. However, the two weeks covering Christmas and New Year are guaranteed to be free from lectures. There may also be weeks free over the Easter period (check with your programme team). Resit exams may take place outside of standard teaching periods.

4a

2:i undergraduate degree (or equivalent).

We consider applications from a wide range of degrees including economics, business, engineering, psychology, geography, sociology, and politics.

This course requires strong numeracy and IT statistical ability.

4b

  • 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.

4c

There are no additional entry requirements for this course.

5a

  • Data Management
  • Business Statistics
  • Analytics in Practice
  • Optimisation Models
  • Advanced Analytics: Models and Applications
  • Advanced Data Analysis
  • Understanding Business for Analysts
  • Dissertation or Business in Practice

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