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
- data analysts
- business analysts
- credit risk analysts
- data scientists
- digital data analyst
- data engineer
- management information analyst.
- Live projects
- 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. You will be able to complete a placement year as part of this course. See the modules table below for further information. Compulsory modules Advanced Data Management Project Data Analytics: Tools And Techniques Industrial Expertise Postgraduate Placement - Programming Concepts And Practice Research Skills For Computing Study Skills And Project Management Final year - Compulsory modules Dissertation For Computing
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. Find out more 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
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.
https://www.shu.ac.uk/courses/computing/msc-big-data-analytics/full-time/
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
Additional fee information
Provider information
Sheffield Hallam University
City Campus
Howard Street
Sheffield
S1 1WB