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The MSc Big Data Analytics at Sheffield Hallam helps students master the end-to-end business intelligence process, including data collection, storage, processing, mining, analysis, and visualisation using tools like Python, R, SAS, and the Hadoop ecosystem. It’s suited to individuals with quantitative or computing backgrounds (or strong motivation to learn them) who want to work in data-intensive roles in industry.
Curriculum Structure
Students start with modules such as Introduction to Programming for Big Data and Advanced Programming for Big Data, building skills in writing code for large data pipelines, data manipulation, and use of big-data tools. They also study Data Analytics: Tools and Techniques, which covers statistical and machine learning methods, data visualisation, and practical labs and coursework to apply those methods. Research methods are addressed via Research Skills for Computing, furnishing students with academic and project skills needed for independent work. The programme culminates in major project work including an Advanced Data Management Project and a Computing Research Project, where students integrate what they’ve learned to solve a real-world or research problem.
Focus Areas
“Big Data storage and management; data mining and machine learning; data processing & tools; programming for large-scale systems; business intelligence & decision support”
Learning Outcomes
“Ability to collect, store, process and analyse large and diverse datasets; proficiency in big data programming and tool ecosystems (Python, R, Hadoop, SAS); capacity to develop business-oriented insights and decision tools; ability to conduct independent research and produce solutions in data analytics projects”
Professional Alignment (Accreditation)
The course aligns with industry needs by using current big data tools and techniques; it offers a work-experience route for hands-on engagement; content is regularly updated in consultation with employers so graduates meet the expectations of data-driven roles.
Reputation (Employability Rankings)
Pupils graduating from Sheffield Hallam’s Computing Department report strong employability: ~95% of UK postgraduates are in work or further study 15 months after finishing.
This programme focuses on applying advanced computing principles through practical project work in the University's modern computing facilities. You will develop professional skills using industry-standard software and development tools, working on real-world computing challenges. This hands-on approach is delivered through:
Specialist Computing Laboratories: Access to Sheffield Hallam's computing labs with high-specification workstations for software development, systems analysis, and project work.
Industry-Standard Software: Practical work with programming languages including Java, Python, and C#, plus database systems and development environments.
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.
Graduates of the MSc Big Data Analytics at Sheffield Hallam University are equipped for high-demand roles including Data Scientist, Big Data Architect, Fraud Analyst, and Business Intelligence Developer, applying advanced skills in industry-standard tools and machine learning. The program offers applied learning, hands-on projects, and strong industry relevance.
Sheffield Hallam’s Careers & Employability Team hosts career fairs, employer visits, networking and CV workshops, plus access to 12-month paid industry placements to boost employability.
97% of postgraduates are employed or in further study within 15 months, with typical salaries ranging £28,000–£45,000 depending on specialization and sector.
The university maintains partnerships with SAP, Bank of England, HSBC, TCS, HM Revenue & Customs, and Axis Bank, offering live projects, networking, and guest lectures.
Accredited SAP Student Academy status and alignment with major analytics platforms (SAS, R, Python, Hadoop) ensure long-term career value and skills for evolving data careers.
Graduates excel at collecting, analyzing, and interpreting large datasets for diverse sectors, ready for specialist or leadership jobs in global data-driven organizations.
Further Academic Progression:
Students can progress to doctoral research (PhD), advanced analytics certifications, or join research and innovation teams for further career development.
Normally you need a 2:2 honours degree or above in any discipline from a UK university or equivalent from an overseas university.USA- A first degree (2.7) or professional qualification recognised as being equivalent to degree standardIndia- A three or four year Bachelor's degree with a minimum score of 55% to 60% or higher (from a recognised university).ILETS- Overall: 6.0 Listening: 5.5 Speaking: 5.5 Reading: 5.5 Writing: 5.5TOEFL iBT (including TOEFL iBT Special Home Edition): Overall: 79 Listening: 17 Speaking: 20 Reading: 18 Writing: 17Careers in Database developmentWeb application developmentBig dataSoftware consultancy
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Sheffield Hallam University
