29Mar
PostgraduateCourse summary
The course covers Big Data technology, advanced analytics and industrial and scientific applications. The course will teach you the coding skills and give you a firm basis in the maths and statistics you need.
Modules
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.
Assessment method
Each module has an assignment and an exam, but the emphasis is on the course work.
Entry requirements
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.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
for further information on course costs, please refer to the University website; https://www.stir.ac.uk/courses/?filter__level=Postgraduate&filter__method=&filter__faculty=&filter__startdate=
Sponsorship information
For information on funding and scholarships, please see here: https://www.stir.ac.uk/study/fees-funding/postgraduate-loans-and-funding/
Provider information
University of Stirling
Stirling
FK9 4LA