MSc Data Analytics

1 Year On Campus Masters Program

University of Brighton

Program Overview

The MSc Data Analytics at Brighton helps students from quantitative or technical backgrounds gain skills in analysing large datasets, business intelligence, forecasting, and visualisation. It suits those aiming for data science, analytics or applied roles in industry, and includes an option for a work placement. University of Brighton

Curriculum Structure:
You’ll take core modules such as Data Management, Introduction to Statistical Data Analysis with R, Business Analytics Strategy and Practice, Data Mining and Knowledge Discovery in Data. These build skills in structuring/manipulating data, statistical modelling and discovering patterns in real data with machine learning techniques. The course includes a major Project module, often using real datasets and sometimes linked to industry, allowing you to draw together your analytical, programming, and statistical learnings. There’s also an optional paid placement year that offers hands-on experience in a relevant role.

Focus areas
“Data Management; Statistical Analysis; Business Analytics; Data Mining; Forecasting; Data Visualisation; Project & Placement”

Learning outcomes
“Ability to prepare and manipulate data; apply statistical and ML methods; generate business insights; perform forecasting; communicate results with visualisation; execute real-world data analytics projects”

Professional alignment (accreditation):
Includes SAS specialisation option; developed in collaboration with industry partners; offers placement experience to enhance employability.

Reputation (employability rankings):
Brighton’s Data Analytics MSc is well-regarded locally; Brighton is AACSB-accredited in related finance programmes, reflecting its business analytics strength

Experiential Learning (Research, Projects, Internships etc.)

This programme focuses on applying advanced computing principles through practical project work and access to specialist facilities. You'll develop professional skills using industry-standard tools in the University's modern computing laboratories, working on real-world computing challenges. This hands-on approach is delivered through:

Specialist Computing Laboratories: Access to the University's Software Development Lab and Networking Lab with high-performance workstations for programming and systems development.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C++, plus development environments like Visual Studio and database management systems.
Substantial Individual Project: A major final project where you apply your skills to a substantial computing challenge, developing a sophisticated software solution.
Project-Based Learning: Collaborative group work and practical assignments that simulate professional software development environments.

Progression & Future Opportunities

Graduates of the MSc Data Analytics at the University of Brighton develop advanced skills in specialist data analysis, quantitative methods, and business intelligence, preparing them for roles like Data Analyst, Business Intelligence Analyst, Data Technician, and Data Security Analyst. The program’s mix of theory and real-world projects ensures employability in industries relying on data-driven decisions.

The university’s Careers Service offers personalized support, including careers appointments, internship and placement opportunities, and employer networking events.
Graduate employability is robust: Brighton ranks in the top 50 for graduate outcomes in the UK, with salaries for data analytics graduates averaging between £29,000 and £32,000.
Students collaborate on projects with industry partners, engage with real data sets, and benefit from expert guest lectures, enhancing career skills and professional networks.
The curriculum is informed by current research and accredited by industry leaders like SAS, delivering long-term career value for graduates.
Graduates gain mastery in software and analytics tools, applying knowledge to challenging data scenarios across multiple sectors.

Further Academic Progression:
Graduates can continue to PhD research in Data Analytics, Data Science, or pursue advanced certifications and interdisciplinary research roles for career growth.