Course summary
Big data is of growing importance in businesses and society in general. A skills shortage in this area means companies are willing to pay high salaries for the right skill set (The Guardian Career Choices). Opportunities for graduates exist in a range of industries such as finance, films and games, pharmaceuticals, health care, consumer products and public services. Our MSc Advanced Computer Science with Big Data gives you the skill set needed.
Modules
Compulsory modules: Legal, ethical and professional issues for the information society; distributed information systems; big data technologies; machine learning for data analytics; research project. Elective modules: Advanced topics in software engineering; mobile software applications; evolutionary computing for finance.
Assessment method
Assessment includes dissertation.
Entry requirements
Minimum second class honours degree or international equivalent in computer science or another numerate discipline (e.g. mathematics, physics, engineering). Some programming or database experience is normally a requirement. Other disciplines who have significant programming experience should contact us to discuss applying for this course.
English language requirements
You must have an English language minimum score of IELTS 6.0 (with no component below 5.5) for all non-English speakers.
Fees and funding
Tuition fees
No fee information has been provided for this course
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
https://www.strath.ac.uk/studywithus/scholarships/
Provider information
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ