Study Patterns: Big Data Analytics MSc (online) - OLPBZ

On this page, you will find the study pattern for our MSc Big Data Analytics online (OLPBZ) programme.

This study pattern highlights the module(s) that you will need to study and select for the upcoming academic year. The scheduled modules for the remainder of your programme, outlined below, are based on the current plan, however, please note that the order of these may be subject to change. Should any changes be made, we will communicate this to you as soon as possible. Should you have any concerns regarding this, please do not hesitate to contact us.

Please note that any optional modules are subject to viable group sizes. Should you choose a module that is deemed to be non-viable, you will be notified of the alternative available options. 

MSc Big Data Analytics - standard route

Study Pattern Autumn (September) Spring (January) Summer (May)
Year 1

Business Analytics
(7CS512)
20 credits

 Emerging Computing Technologies and Research Methods
(7CS528)
20 credits		 Processing Big Data
(7CS516)
20 credits
Year 2 Statistical Techniques
(7CS516)
20 credits		 Analytics: Ethics, Trust and Governance
(7CS517)
20 credits		 Optional Module
20 credits
Year 3 Research Project
(7CS995)
60 credits		 Research Project
(7CS995)
60 credits continued		 Research Project
(7CS995)
60 credits continued

Optional Modules: Information Visualisation (7CS519); Natural Language Processing (7CS518)

MSc Big Data Analytics - accelerated route

Study Pattern Autumn (September) Spring (January) Summer (May)
Year 1

Business Analytics
(7CS512)
20 credits

Statistical Techniques
(7CS516)
20 credits

 Emerging Computing Technologies and Research Methods
(7CS528)
20 credits

Analytics: Ethics, Trust and Governance
(7CS517)
20 credits		 Processing Big Data
(7CS516)
20 credits

Optional Module
20 credits
Year 2 Research Project
(7CS995)
60 credits		 Research Project
(7CS995)
60 credits continued		 Research Project
(7CS995)
60 credits continued

Optional Modules: Information Visualisation (7CS519); Natural Language Processing (7CS518)