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Big Data Analytics at Sheffield Hallam University - UCAS

Course options

2024 - 20252025 - 2026
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There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Please check the Sheffield Hallam University website for the latest information. Course summary

  • Learn how to use industry relevant software.
  • Explore SAS, R, Python and the Apache Hadoop Ecosystem.
  • Gain knowledge of how to store, mine and statistically model data.
  • Understand how to use machine learning and AI to analyse large datasets.
  • Study topics related to the management, distribution and integration of data.
On this course, you’ll undertake a complete end-to-end business intelligence process within big data analytics. This includes data mining, transforming and reporting on data – with a focus of interpreting the information in a business context – preparing you to pursue a career in a sector with high demand for workers. How you learn All our courses are designed around a set of key principles based on the application of knowledge. You’ll engage with the Hallam community and beyond, collaborating with experts in your areas of interest, and being challenged to think in new ways – all in a supportive environment in which you can thrive. On this course you’ll gain key skills and knowledge in data collection, storage, processing, analysis and visualisation. Through lectures and practical tutorials, you’ll learn how to apply big data tools and systems to different data tasks and problems – as well as how to analyse and communicate data effectively. The main aim is to prepare you for employment in big data analytics, so we keep a close eye on industry developments while carefully choosing the topics and technical content of the modules you’ll study. While consulting with our industry partners and connections, we work with subject matter experts to understand the latest industry trends and needs. As part of the course, you’ll also develop your research skills, preparing to undertake your own significant piece of work in the field as a dissertation project. This allows you to develop and tailor your understanding of a specific data-related topic that’s relevant to your career aspirations. You’ll be supported by a dissertation supervisor who is a subject matter expert. You learn through:
  • lectures
  • hands-on lab sessions and tutorials
  • regular feedback
  • teamwork and group-based learning
  • practice-based applied learning
  • discussions
  • self-study
Key themes The MSc in Big Data Analytics course emphasises mastering industry-relevant software like SAS, R, Python, and Hadoop. You’ll learn to apply machine learning and AI techniques to large datasets and tackle real-world problems through hands-on projects. You’ll learn through practice – starting by understanding the organisational data and developing business questions around the ’who, what, where and when’ principles. You’ll then bring together multiple real-time datasets to develop a decision-support system, making recommendations by interpreting the data with Online Analytical Processing (OLAP) tools. The course also focuses on business intelligence processes, teaching you to interpret data in a business context and make informed decisions. Ethical considerations and effective communication of data insights are integral – you’ll be gaining the skills and knowledge you’ll need for high-demand roles in today's data-driven industries.

Modules

The structure of this course is periodically reviewed and enhanced to provide the best possible learning experience for our students and ensure ongoing compliance with any professional, statutory and regulatory body standards. Module structure, content, delivery and assessment may change, but we expect the focus of the course and the learning outcomes to remain as described. Following any changes, updated module information will be published on our website. Final year: Compulsory modules 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

Assessment method

Coursework, practicals.

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.

English language requirements

TestGradeAdditional details
IELTS (Academic)6Non-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.

Please click the following link to find out more about English language requirements for this course

https://www.shu.ac.uk/courses/Computing/MSc-Big-Data-Analytics/Full-time

Fees and funding

Tuition fees

England £10620 Whole course
Northern Ireland £10620 Whole course
Scotland £10620 Whole course
Wales £10620 Whole course
Channel Islands £10620 Whole course
Republic of Ireland £10620 Whole course
EU £17725 Whole course
International £17725 Whole course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

If you are studying an undergraduate course, postgraduate pre-registration course or postgraduate research course over more than one academic year then your tuition fees may increase in subsequent years in line with Government regulations or UK Research and Innovation (UKRI) published fees. More information can be found in our terms and conditions under student fees regulations.

Sponsorship information

Scholarships, discounts and bursaries may be available to students who study this course.

Big Data Analytics at Sheffield Hallam University - UCAS