Course summary
Please check the Sheffield Hallam University website for the latest course 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.
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.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | Non-native speakers of English need an IELTS score of 6.0 with 5.5 in all skills (or equivalent). |
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
No fee information has been provided for this 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
Our postgraduate fees vary depending on course, level and mode of study. Each postgraduate course page tells you how much the tuition fees are, and what additional costs you might have to budget for during your studies. Please refer to our website for up-to-date information on costs and fees for both full-time and part-time postgraduate study options.
Sponsorship information
Scholarships, discounts and bursaries may be available to students who study this course.
Provider information
Sheffield Hallam University
City Campus
Howard Street
Sheffield
S1 1WB