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University of Warwick: Business Analytics & Artificial Intelligence
| Institution | University of Warwick View institution profile |
|---|---|
| Department | Warwick Business School |
| Web | https://warwick.ac.uk/ |
| mastersrecruitment@wbs.ac.uk | |
| Study type | Taught |
Summary
For 2026 entry, our MSc Business Analytics has been reviewed and relaunched as MSc Business Analytics & Artificial Intelligence. You’ll learn how to gain insights from large data sets using Artificial Intelligence (AI), statistical methods, optimisation and machine learning – and apply them to business challenges. This course covers cutting-edge and industry standard analytical techniques, including visualisation (in Tableau), machine learning, statistics and optimisation. Gain a cross-disciplinary training in business models, quantitative methods and data science, and prepare for a future career in an ever-changing business world.
Course overview Ranked 3rd in the UK and 17th in the world in the QS University Rankings 2025 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
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Cover a diverse set of descriptive, predictive, and prescriptive analytics modules, aligned with industry trends
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Continue developing your programming skills in SQL, R, and Python
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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
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Develop your industry acumen by accessing our CareersPlus service with specialist careers coaches.
MSc
| Level | RQF Level 7 |
|---|---|
| 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 statistical ability at undergraduate level. |
| Location | Main Site Academic Office University Road Coventry CV4 7AL |
Founded in 1965, the University of Warwick is ranked 74th in the QS World University Guide 2026, is the youngest member of the Russell Group and are listed within the top ten UK universities in all three major national league tables. However, we are so much more than our rankings.
We are renowned for seeking out and addressing complex global challenges with era-defining innovative thinking. A connected ecosystem of staff, students and alumni, the University fosters transformative learning, interdisciplinary collaboration and bold industry partnerships across state-of-the-art facilities in the UK and global satellite hubs.
Download the 2026 postgraduate …
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