MSc Big Data Analytics (Work Experience)

Program Overview

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MSc Big Data Analytics (Work Experience)

Course summary

The MSc in Big Data Analytics is designed to enhance your data analysis skills, providing new personal insights and skill development to help you advance your career. You'll gain the skills, knowledge, and experience that modern organisations seek from their data analysts.

How you learn

You'll engage in learning across our Extended Campus, which includes flexible physical and digital spaces to support applied learning, working, teaching, and collaboration. On campus, our Computing Department will be your home space, with areas to take part in course activities and meet students, staff, and employers.

You'll learn through:

• Lectures
• Hands-on lab sessions and tutorials
• Regular feedback
• Teamwork and group-based learning
• Practice-based applied learning
• Discussions
• Self-study

Modules

Compulsory modules

• Advanced Data Management Project (40 credits)
  • Assessment: Coursework (100%)
• Data Analytics: Tools And Techniques (40 credits)
  • Assessment: Coursework (60%), Practical (40%)
• Introduction To Programming For Big Data (20 credits)
  • Assessment: Coursework (100%)
• Postgraduate Work Experience Applied Professional Diploma (credits not specified)
  • Assessment: Not specified
• Research Skills For Computing (20 credits)
  • Assessment: Coursework (100%)

Compulsory modules (Final year)

• Advanced Programming For Big Data (20 credits)
  • Assessment: Coursework (100%)
• Computing Research Project (40 credits)
  • Assessment: Coursework (100%)

Future careers

Our MSc in big data analytics is designed to enhance your data analysis skills, providing new personal insights and skill development to help you advance your career. You'll gain the skills, knowledge, and experience that modern organisations seek from their data analysts.

Previous graduates have gone on to develop successful careers in senior roles, in a wide range of opportunities across the world, in fields such as:

• Customer insight analysis
• Credit risk analysis
• Fraud analysis
• Forensic analysis
• Big data architecture
• Business intelligence development
• Digital analysis
• Data science

Previous graduates of this course have gone on to work for:

• The Bank of England
• HSBC
• Tata Consultancy Services
• HM Revenue and Customs
• Axis Bank

Equipment and facilities

You'll engage in learning across our Extended Campus, which includes flexible physical and digital spaces to support applied learning, working, teaching, and collaboration. On campus, our Computing Department will be your home space, with areas to take part in course activities and meet students, staff, and employers.

You'll work with:

• Specialist platforms like Azure
• Specialist software like Python, R Studio, SAS, and Tableau
• Specialist data management applications like Hadoop EcoSystem

Where will I study?

You'll study at City Campus through a structured mix of lectures, seminars, and practical sessions, as well as access to digital and online resources to support your learning.

Entry requirements

• A good honours degree in computing, computer science, maths, or statistics, or other relevant areas, or equivalent.
• We consider your application if you do not have a relevant degree but have at least one year's direct work experience in computing or a relevant area. You may also be able to claim credit points, which can reduce the amount of time it takes to complete your qualification at Sheffield Hallam.
• Non-native speakers of English need an IELTS score of 6.0 with 5.5 in all skills (or equivalent). If your English language skill is currently below an IELTS score of 6.0 with a minimum of 5.5 in all skills, we recommend you consider a Sheffield Hallam University Pre-sessional English course, which will enable you to achieve an equivalent English level.

Fees and funding

Home students

Our tuition fee for UK students starting full-time study in 2025/26 is £12,120 for the course. The tuition fee displayed above is for the full course. For this work experience route, your fees will be payable over two years, divided into two annual payments based on credits studied. The fee includes dedicated employability support to help you prepare for and secure work experience. It does not guarantee you a placement, and if a placement is not secured, the work experience fee will still be charged. If a placement is not secured, you will transfer to the standard version of the course to complete your remaining credits, where the balance of your course fees will be due in year one in line with completing the course.

International students

Our tuition fee for International/EU students starting full-time study in 2025/26 is £19,225 for the course. The tuition fee displayed above is for the full course. For this work experience route, your fees will be payable over two years, divided into two annual payments based on credits studied. The fee includes dedicated employability support to help you prepare for and secure work experience. It does not guarantee you a placement, and if a placement is not secured, the work experience fee will still be charged. If a placement is not secured, you will transfer to the standard version of the course to complete your remaining credits, where the balance of your course fees will be due in year one in line with completing the course.

Postgraduate student loans

Up to £12,858 is available in 2025/26 for home students on most masters courses.

Additional course costs

The links below allow you to view estimated general course additional costs, as well as costs associated with key activities on specific courses. These are estimates and are intended only as an indication of potential additional expenses. Actual costs can vary greatly depending on the choices you make during your course.

General course additional costs

Additional costs for School of Computing and Digital Technologies (PDF, 131.3KB)