Business Analytics and Artificial Intelligence
Entry requirements
We require a First or Upper Second class honours degree (2:1, with 60% average) from a UK university or the overseas equivalent. Your degree background must be in a quantitative subject such as mathematics, statistics, physics, engineering, computing, management science or economics, and we require you to demonstrate study of quantitative modules (e.g. maths, statistics, calculus) consistently throughout each year of your studies and achieve good grades. Study of programming is desirable, but mathematical-related modules are essential.
When assessing your academic record we take into account your grade average, position in class and the standing of the institution where you studied your qualification. We particularly welcome applicants from institutions of high ranking and repute.
Months of entry
September
Course content
- Learn the core principles of business analytics, artificial intelligence, machine learning and statistics
- Develop strong quantitative and analytical skills to interpret complex datasets and support decision-making
- Apply analytical techniques to real-world business problems through case studies and consultancy-style projects
- Gain experience using industry-standard analytics and programming tools
- Work both individually and in teams, building the communication skills needed to present analytical insights
- Choose from a range of optional course units to tailor the programme to your interests and career ambitions
Information for international students
Fees and funding
Scholarships will be available for 2026 entry, information will be updated on our scholarships page.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
The programme trains those who wish to take up specialist positions in areas such as business analysis, business modelling and operational research, and grounding for those who may wish to pursue a research and/or academic career via a PhD in decision sciences.
Course contact details
- Name
- Alliance Manchester Business School
- pgadmissions.ambs@manchester.ac.uk