Oxford Brookes University

What you'll study

This programme blends modules in management and leadership with quantitative and analytical subjects, giving you the tools to turn data into actionable insight. You will study core topics that establish a foundation in organisational behaviour and strategic management alongside specialist analytics modules that cover data handling, statistical modelling and visualisation.

• Foundations of Management: organisational behaviour, leadership, strategic thinking and managerial decision making.
• Data Management and Visualisation: data cleaning and preparation, dashboard design and communication of insights using contemporary visualisation tools.
• Predictive and Statistical Modelling: regression, classification, time-series analysis and an introduction to machine learning methods applied to business problems.
• Operations and Supply Chain Analytics: modelling operational processes, simulation, forecasting and optimisation techniques.
• Marketing and Customer Analytics: segmentation, customer lifetime value, digital analytics and attribution models.
• Research Methods and Professional Project: research design, applied project methods and a substantial dissertation or consultancy project that applies analytics to a real organisational issue.

Teaching typically combines lectures, hands-on computer workshops using industry-relevant software and group work. Assessment methods include coursework, case studies, presentations, practical analytics assignments and a final project. The programme emphasises practical application, using real datasets and industry briefings where possible.

Entry requirements

Applicants should normally have a UK undergraduate honours degree or an international equivalent. Degrees in business, management, economics, computing, engineering, mathematics or related disciplines are directly relevant, but applicants from other backgrounds with quantitative experience or relevant professional experience are also considered. Selection is based on academic background, personal statement and references.

Applicants are expected to demonstrate numeracy and some familiarity with data-related concepts; prior experience with spreadsheets or basic statistics is helpful. If you do not have a numerate degree, the admissions team may request evidence of quantitative ability or recommend preparatory study.

Applicants whose first language is not English must meet the university's English language requirements; details and acceptable qualifications are published by the university admissions service.

Career prospects

Graduates leave prepared to work at the interface of management and analytics. Typical roles include business analyst, data analyst, analytics consultant, management consultant, operations or supply chain analyst, marketing analyst and strategy roles that require strong evidence-based decision making. Employers range across sectors — finance, retail, technology, healthcare, manufacturing and the public sector — and graduates also move into in-house analytics teams, specialist consultancies or further research.

The programme’s applied project and coursework develop practical skills valued by employers: data manipulation, model building, communicating results to non-technical stakeholders and translating insights into strategic recommendations.

Why study at Oxford Brookes University

Oxford Brookes University offers a practical, careers-focused approach to management and analytics. Teaching is delivered by academics with research expertise and practitioners working in industry, and students benefit from small-group learning, specialist computing resources and support from the university’s careers and enterprise service.

The university’s proximity to Oxford provides access to a broad range of employers, professional networks and collaborative opportunities. The Business School places emphasis on applied learning — including live projects and guest talks from industry — so you gain experience working on realistic business problems that help bridge the gap between study and professional practice.