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Business Analytics & Artificial Intelligence (MSc)
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Find out more about our Business Analytics & Artificial Intelligence taught Master's degree at Warwick
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MSc
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1 year full-time
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28 September 2026
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Warwick Business School
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University of Warwick
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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.
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Ranked 3rd in the UK and 13th in the world in the QS University Rankings 2026 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.
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You will complete four core modules. Alongside the core content of the course, you will choose a specialism route; Predictive and Prescriptive Analytics; Artificial Intelligence; Management Analytics, or; Marketing Analytics and Technology. Your studies will be completed by either a Research Paper, Analytics Portfolio or the Business in Practice module.
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The class size for this course is around 240 students.
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Students will typically receive between 27 and 30 contact hours per module via a mixture of virtual and in-person support. Some modules are taught over the course of a 10 week term, whilst others are delivered in an intensive block of up to 10 days.
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Over three terms you will complete four core modules, alongside four modules from one of our new specialisms: Predictive and Prescriptive Analytics; Artificial Intelligence; Management Analytics, or; Marketing Analytics and Technology.
Your studies will be completed by one of the following routes:
- One elective + Research Paper
- Two electives + Self-sourced Internship
- Two electives + Business in Practice.
- Two electives + Analytics Portfolio The Research Paper has two options within it:
- A company-based project with a sponsoring organisation, producing both an academic Dissertation and a management report for the company
- A piece of research which will see you develop more specific detailed knowledge in a particular area of business analytics
Assessment will vary between group presentations, peer assessments, individual assignments and examinations.
Your timetable
Your personalised timetable will be complete when you are registered for all modules, core and optional, and you have been allocated to your lectures, seminars and other small group classes. Your core modules will be registered for you, and you’ll 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.
Reading lists
If you would like to view reading lists for current or previous cohorts of students, most departments have reading lists available through Warwick Library on the Talis Aspire platform.
You can search for reading lists by module title, code or convenor. Please see the modules tab of this page or the module catalogue.
Please note that some reading lists may have restricted access or be unavailable at certain times of year due to not yet being published. If you cannot access the reading list for a particular module, please check again later or contact the module’s host department.
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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.
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- 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.
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There are no additional entry requirements for this course.
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Your studies will be completed by one of the following routes:
- One elective + Research Paper
- Two electives + Self-sourced Internship
- Two electives + Business in Practice
- Two electives + Analytics Portfolio.
Assessment will vary between group presentations, peer assessments, individual assignments and examinations.
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Alongside the core content of the course, you will choose a specialism route; Predictive and Prescriptive Analytics; Artificial Intelligence; Management Analytics, or; Marketing Analytics and Technology. On completion, you will gain a letter of acknowledgement from the Dean of Warwick Business School to confirm your success in your chosen area.
On completion, you will gain a letter of acknowledgement from the Dean of Warwick Business School to confirm your success in the area.
Predictive and Prescriptive Analytics:
The specialism focuses more on the quantitative elements of the analytics discipline and suit students seeking a more technical role.
Artificial Intelligence:
Aligning with one of the most significant trends in the analytics space, the specialism would incorporate more computational elements and cover a wide range of AI and machine learning applications. In particular, this specialism would align to technology and retail/e-commerce roles which are both in our top five industry destinations already, as well as the awareness and interest in AI in business and organisations.
Management Analytics:
This specialism emphasises particular management domains (such as supply chain and finance) as well as modern quantitative techniques. Given this, we expect the specialism to meet the needs of many of the most frequent industry destinations of students such as financial / professional services and consulting.
Marketing Analytics and Technology:
The final specialism would be less quantitatively demanding than the other three, and would better prepare students for careers in retail/e-commerce or marketing (our fifth and sixth most common destinations), as well as roles in technology, in particular those related to Generative AI.
Additional optional modules:
Optional modules (Business in Practice, Internship and Analytics Portfolio routes only)
Please note these modules are subject to change.
Our wide range of optional elective modules allows you to tailor your course of study to reflect the focus you want to follow.
Other optional modules
Please note that this is a sample range:
Please note these modules are subject to change.