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Business Analytics & Artificial Intelligence MSc

Postgraduate Taught

Course code

TIBS-NI01

Start date

27 September 2027

Study location

University of Warwick

Qualification

Master of Science (MSc)

Department

Warwick Business School

Duration

1 year full-time

Course overview

Turn data into insight that makes a difference.

Data is transforming how organisations make decisions. Our cross-disciplinary MSc helps you develop the cutting-edge analytical and strategic skills that complex modern businesses demand.

Learn how to extract insights from large data sets using AI, machine learning, statistics and optimisation techniques – and apply them to real business challenges. Combining theory with practical application, this course opens up a growing range of career opportunities in business, technology and data.

Business Analytics & Artificial Intelligence students talking

Modules

You’ll develop the advanced analytical and technical expertise that today’s employers demand.

  • Cutting-edge analytics techniques: solve business challenges with visualisation (in Tableau), machine learning, statistics and optimisation
  • Cross-disciplinary expertise: explore business models, quantitative methods and data science by covering descriptive, predictive and prescriptive analytics
  • Career-ready skills: build the quantitative consultancy skills needed in complex data-driven environments
  • Programming skills: grow your expertise in QL, R and Python
  • Applied consultancy experience: work on a live external consultancy project or apply your learning through the Business in Practice module
  • Guidance towards becoming an Associate Certified Analytics Professional: this optional globally-recognised certification is offered by INFORMS (USA) and The OR Society (UK)

Note that information found by following the links to the module catalogue is subject to change for future years of study, as we evolve our courses in response to the latest developments in academia and industry.

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.

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.

Predictive and Prescriptive Analytics:

This specialism focuses more on the quantitative elements of the analytics discipline and suits 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.

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:

Read the module descriptions for this course on the Warwick Business School website.Link opens in a new window

Teaching and learning

You’ll combine technical training with practical business application, preparing you to move into the data-driven industries.

  • Hands-on analytical learning: apply analytics, AI and machine learning techniques to contemporary business scenarios
  • Industry-focused teaching: learn from expert academics on a course ranked 3rd in the UK and 13th in the world in the QS University Rankings 2026 for MSc Business Analytics
  • Dedicated careers support: specialist careers coaching and professional development through the MSc CareersPlus & Employer Relations service

Entry requirements

Fees and scholarships

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and assessment and some student amenities.

Find your course fees

About the department

Careers

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