University of Leicester

What you'll study

This programme combines quantitative methods, computing and business theory to give you practical analytics skills. Core topics typically include statistical modelling and inference, predictive analytics and machine learning, data mining, optimisation and decision modelling, databases and data engineering, and data visualisation and business intelligence. You will also study programming for analytics (commonly Python and/or R), applied analytics in finance and marketing, and ethical and legal issues in data use.

The course is delivered through a mix of lectures, computer‑lab practicals, case studies and group projects. Assessment methods commonly include coursework, project work, practical data analysis exercises and a substantial independent dissertation or consultancy project that applies analytics techniques to a real problem.

Entry requirements

Applicants are normally expected to hold a good UK honours degree (2:1 or equivalent) in a quantitative subject such as business, economics, mathematics, statistics, computer science, engineering or a related discipline. Candidates with a lower classification plus relevant professional experience in an analytical role may also be considered.

Applicants should demonstrate competence in numeracy and basic programming or statistical software; the programme provides bridging materials for those with some gaps. International applicants will be required to meet the University's English language requirements; a common expectation is an IELTS score at a level suitable for postgraduate study (with minimum sub‑scores), or an equivalent qualification.

Career prospects

Graduates go on to roles that combine business understanding with technical analytics capability. Typical job titles include data analyst, business analyst, analytics consultant, business intelligence developer, operations analyst and data scientist in sectors such as finance, retail, healthcare, logistics, public services and technology.

The programme emphasises employability through applied projects, opportunities to work on real datasets and support from the University careers service, which can help with employer engagement, CV preparation and interview practice. Many students progress into analytics roles in commercial firms, consultancies and the public sector, or continue to doctoral study in related fields.

Why study at University of Leicester

The University of Leicester offers this programme within its business and social science environment, combining academic expertise in quantitative methods with practical application. You will benefit from experienced academic staff who publish in applied analytics and management, modern computing facilities and data labs, and access to the University's careers and enterprise services.

Leicester's central location and diverse regional economy provide opportunities for industry engagement and applied projects with local and national firms. The programme is designed to balance technical training with business context, preparing graduates to bridge the gap between data science and managerial decision making.