12 monthsProgramme duration
26,300 GBPTuition Fee/year
24 Aug, 2026Application Deadline
SepStarting Month
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Join us on this interactive master’s to develop a firm grounding in business analytics, modelling and data-driven decision-making. You will explore how analytics and AI-enabled tools can be applied to real business problems, while developing practical skills through real-world projects. The programme will help you use analytics to generate insights, understand customers, improve operations and support better organisational decisions.
Put your skills into practice during the final term on a supervised real-world consulting or research project, which may be undertaken with external organisations such as npower, Dstl, Defra, NHS, and IBM. It is a chance to apply powerful tools such as data mining, forecasting, optimisation, simulation, machine learning, AI enabled analytics and decision analysis to a particular area of business or policy that interests you.
Importantly, you will also learn to communicate and present your findings and recommendations to stakeholders across a business, giving you invaluable skills for building your career as an analytics expert.
Programme overview
Main Subject
Business Analytics
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Join us on this interactive master’s to develop a firm grounding in business analytics, modelling and data-driven decision-making. You will explore how analytics and AI-enabled tools can be applied to real business problems, while developing practical skills through real-world projects. The programme will help you use analytics to generate insights, understand customers, improve operations and support better organisational decisions.
Put your skills into practice during the final term on a supervised real-world consulting or research project, which may be undertaken with external organisations such as npower, Dstl, Defra, NHS, and IBM. It is a chance to apply powerful tools such as data mining, forecasting, optimisation, simulation, machine learning, AI enabled analytics and decision analysis to a particular area of business or policy that interests you.
Importantly, you will also learn to communicate and present your findings and recommendations to stakeholders across a business, giving you invaluable skills for building your career as an analytics expert.
Admission Requirements
Applicants from other disciplines may be considered on a case-by-case basis provided that they can show strong quantitative ability. GRE or GMAT scores may be requested to verify numeracy skills.
Work experience will be considered for applicants who do not hold a first degree.
- Candidates are required to submit references or letter(s) of recommendation for acceptance
- Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
International
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