Sheffield Hallam University
Big Data Analytics
This course has been developed to create graduates who can become data scientists capable of working with the massive amounts of data now common to many businesses. Key areas of study include data quality and analysis, technologies to store and mine data, professionalism and research.
A good Honours degree in computing, computer science, mathematics or statistics or other relevant areas or equivalent; or at least 1 year's direct work experience in computing or a relevant area. Non-native speakers of English need an IELTS score of 6.0 with 5.5 in all skills (or equivalent).
Modules include: Study skills for professionals; industrial expertise; research principles and practice; data quality; statistical modelling; data mining; data in the cloud; big data and distributed systems; change management and SI; advanced statistical modelling; data mining and dissertation.
Assessment includes essays, assignments, computer-based tests, practical projects, presentations and vivas.
Scholarships, discounts and bursaries may be available to international students who study this course.
|Qualification||Study mode||Fee||Course duration|
|MSc||Full-time||£ 6,200 per Academic year (home fees)||12 months|
|MSc||Full-time||£ 11,500 per Academic year (overseas fees)||12 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|City Campus||Sheffield||S1 1WB||Yorkshire and the Humber|
Faculty of Arts, Computing, Engineering and Sciences
0114 225 6777