This programme is aimed at providing opportunities for students who wish to establish expertise and employment in data'centric, largely quantitative areas within a broad range of professional disciplines and areas of employment; a cross'disciplinary approach is therefore central to the delivery of the programme.
Modules: Data ecology (core); quantitative data analysis (core); advanced decision making ' predictive analytics and machine learning (core); spatial data analysis (option); qualitative data analysis (option); research dissertation (core).
|Duration & Attendance||Qualification||Tuition fees||Fee type|
- Minimum 2.2 Honours in Physical Science, Electrical/Electronic/Communication Engineering or Humanities and Social Science related subject. IELTS 6.5 with a minimum of 6.0 in Writing, Speaking, Reading and Listening (or recognised equivalent).