Course summary
Please check the Sheffield Hallam University website for the latest information. Course summary
- Learn to use industry-leading software including SAS, R, Python and the Apache HaDoop Ecosystem.
- Obtain knowledge of data storage, data mining and statistical modelling techniques.
- Study aspects related to the distribution and integration of data.
- Gain up to twelve months real-world experience through the two-year work experience route.
- Teaching sessions
- Learning materials
- Recommended readings
- Problem-based learning
- Group projects
- Contemporary software platforms
- Pharmaceuticals
- Finance
- Marketing
- Retail
Modules
Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances. Modules studied may differ depending on when you start your course. Compulsory modules Advanced Data Management Project Data Analytics: Tools And Techniques Dissertation For Computing Industrial Expertise Programming Concepts And Practice Research Skills For Computing Study Skills And Project Management
Assessment method
Coursework | Practical
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.
English language requirements
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.
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-Work-Experience/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
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