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The MSc Big Data Analytics at Sheffield Hallam University equips students with advanced expertise in data management, analytics, and decision-support systems. With access to cutting-edge tools and platforms, students develop strong technical skills for interpreting and solving real-world data problems.
The program includes opportunities for applied projects and an optional placement for international students.
Teaching Methods: Practice-based learning with hands-on labs, tutorials, and team-based projects as well as case-based instruction using live datasets on issues like flight delays, crime, and energy
Assessment: Coursework-based evaluations, programming assignments, and a research project
Course overview
Core:
Advanced Data Management Project
Advanced Programming For Big Data
Computing Research Project
Data Analytics: Tools And Techniques
Introduction To Programming For Big Data
Research Skills For Computing
Real-World Projects: Projects solving real-world problems using online datasets from industry and public sources
Industry Placement: Optional 12-month placement for international students, enhancing professional readiness
Industry Connections: Career development support, professional networking opportunities, and employer presentations
Applied Tools & Platforms: Training on platforms including Hadoop, SAS, R, Python, and Tableau
Decision-Support Systems: Students design systems using OLAP and BI tools for enterprise and public sector use
Career Outcomes: Alumni employed at The Bank of England, HSBC, Tata Consultancy Services, HMRC, and Axis Bank
Further Study: Foundation for doctoral research or advanced professional certifications
Professional Skills: End-to-end data pipeline management, analytics communication, data ethics, and system integration
Career Support: Career planning, interview coaching, and one-on-one guidance from the University’s career team
Entry Requirements: A good honours degree in computing, computer science, maths or statistics or other relevant areas or equivalentIELTS: Overall 6.0 with 5.5 in all skills TOEFL iBT (including TOEFL iBT Special Home Edition): Overall 79 with L17, S20, R18 and W17Scholarships availablePart time studies NOT availableYour 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.Customer Insight AnalystCredit Risk AnalystFraud AnalystForensic AnalystBig Data ArchitectBusiness Intelligence DeveloperDigital AnalystData Scientist
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Sheffield Hallam University
