University of Stirling
A minimum of a 2nd Class Honours degree or equivalent in a numerate subject such as maths, computing, engineering or an analytic science. Applicants without these formal qualifications but with significant appropriate work experience are encouraged to apply.
The course covers Big data technology, advanced analytics and industrial and scientific applications. The syllabus includes: mathematics for big data; python scripting; big data theory and computing foundations; big databases and NoSQL; analytics, machine learning and data visualisation; optimisation and heuristics for big problems; hadoop and mapreduce; scientific and commercial applications; student projects.
Each module has an assignment and an exam, but the emphasis is on the course work.
|Qualification||Study mode||Start month||Fee||Course duration|
|MSc||Full-time||September 2016||GBP 4,000 per Year 1 (England)||12 months|
|MSc||Full-time||September 2016||GBP 12,900 per Year 1 (International)||12 months|
|MSc||Full-time||September 2016||GBP 4,000 per Year 1 (Northern Ireland)||12 months|
|MSc||Full-time||September 2016||GBP 4,000 per Year 1 (Scotland)||12 months|
|MSc||Full-time||September 2016||GBP 4,000 per Year 1 (Wales)||12 months|
|Campus name||Town||Postcode||Region||Main campus||Campus||Partner|
|Stirling Campus||Stirling||FK9 4LA||Scotland|
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