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The MSc Data Analytics at the University of Brighton is a practical, industry-aligned program designed to equip students with skills in statistical modelling, machine learning, and business strategy using real-world datasets and analytics software.
Delivered at the Moulsecoomb Campus, the course supports multiple start dates and offers flexible study options including part-time and placement year pathways.
As a SAS Academy member, students receive training aligned with industry certifications and benefit from strong employer connections.
Teaching Methods: Case studies, industry projects, guest lectures, real-world datasets, research-led delivery, group work and presentations
Assessment: Coursework, group projects, case studies, final analytics project/dissertation
Course overview
Core Modules:
Data Management
Business Analytics Strategy and Practice
Introduction to Statistical Data Analysis with R
Data Mining and Knowledge Discovery in Data
Project
Optional Modules:
Multivariate Analysis and Statistical Modelling
Medical Statistics
Programming for Analytics with SAS
Forecasting and Credit Risk Analysis
Industry Collaboration:
Major projects often feature real data from business partners
Optional year-long paid placement, supported by a dedicated team
Professional Tools: Practical experience with SAS, R, Python, and forecasting and modelling techniques
Project-Based Learning: Applied analytics challenges allow students to use their own datasets or tackle current industry problems
SAS Academy Advantage: Certification support, careers fairs, and recruitment opportunities aligned with SAS industry standards
Career-Ready Graduates: Trained for data-intensive roles across sectors including finance, healthcare, and marketing
Graduate Destinations: Alumni have secured roles in forecasting, customer analytics, clinical trials, and consulting
Employability Focus: Strong industry readiness and technical foundation; some students secure roles before graduating
Further Study: Prepares students for doctoral study or advanced certifications in SAS and analytics
Entry Requirements: 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.IELTS: 6.5 overall with a minimum of 5.5 in each element.TOEFL: 85 overall, 18 in writing, 10 in Reading, 10 in Listening and 17 in Speaking.Scholarships availablePart time studies NOT availableTwo Intakes: January & SeptemberYour personal details, academic qualifications (predicted works too), a personal statement, evidence of your English language skills (with relevant qualifications), a reference and employment history are required for applications.Data AnalystBusiness Intelligence AnalystData ScientistCredit Risk AnalystResearch AnalystStatistical ProgrammerSAS ConsultantForecasting AnalystMarket ResearcherData Engineer
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University of Brighton
