University of Brighton campus

Engineering

MSc Data Analytics at University of Brighton

University of Brighton, United Kingdom

Programme overview

Developed to meet the demand for data science professionals, our postgraduate Data Analytics course enables you to effectively structure, analyse and gain insight from a wide range of complex data across different industries. Your learning is informed by current business developments through case studies looking at real-world data sets, research questions and scenarios.

Faculty: School of Architecture, Technology and Engineering  |  Department: Data Science and Analytics  |  Duration: full-time: 1 year or 2 years with a placement; part-time: 2–6 years  |  Study mode: full-time / part-time (optional placement year)  |  Intake: September and January start dates  |  Location: Brighton, England, United Kingdom

What you will study

This module introduces the statistical and programming skills needed for modern data analysis using the R programming language. You’ll learn how to collect, explore and visualise data, understand randomness, and use statistical methods to draw reliable conclusions. You’ll also develop reproducible ways of working and learn how to communicate evidence-based findings clearly. This module introduces business analytics and looks at how organisations use data to support decision-making. Modules include Statistical Data Analysis with R, Data Analytics for Business Decision-making, Statistical Learning, Data Analytics with SAS, Extended MSc Project.

Career pathways

A Data Analytics MSc from the University of Brighton develops advanced analytical, technical and research skills, preparing you for professional roles where data-driven insight supports decision‑making across business, government, healthcare and technology sectors. This course also provides strong preparation for advanced academic or research-based pathways.

Official programme page

Application information

Entry requirements

Degree and experience. Normally a 2:2 degree in a subject area with a substantial quantitative element (for example, maths, statistics, computer science, engineering, economics). Alternatively a 2:1 degree in any subject area will be considered if the applicant can demonstrate some familiarity with and aptitude for mathematics and statistics concepts and methods. Claims for the accreditation of prior (experiential) learning will also be considered. English language requirements. If English is not your first language, IELTS 6.5 overall with a minimum of 5.5 in each element.

Domestic applicants: GBP 10,242 a year (2026/27). First-year tuition fee, full-time; fees may rise in later years. Source

International applicants: GBP 18,792 a year (2026/27). First-year tuition fee, full-time; fees may rise in later years. Source

Intake: September and January start dates

Duration: full-time: 1 year or 2 years with a placement; part-time: 2–6 years

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