Applied Data Science, MSc / PGDip
Swansea University · Wales · MSC-APPLIED-DATA-SCIENCE
Applied Data Science, MSc / PGDip is a Postgraduate taught degree at Swansea University, Wales, typically 1 year of full-time study. It covers areas like postgraduate research methods, work placement, mathematics, applied mathematics, health research methods, applied statistics. The summary below is compiled from public course information — approximate, not official.
Swansea University
Postgraduate taught
1 year
£3,550
What you'll study in Applied Data Science, MSc / PGDip
Example subjects: Additional Learning Needs in Wales, Research Methods in Education, Engineering Science, Dissertation Preparation Module, Dissertation Pre-requisite Module (Society, Environment and Global Change), Business Management 2 (Coleg Cambria), Dissertation (Research/Audit), Research Methods for Postgraduate Study, Research Methods in Education, Research Dissertation, Post Graduate Taught Masters Dissertation, Health Informatics Research Dissertation.
Frequently asked questions
How long is Applied Data Science, MSc / PGDip?
Applied Data Science, MSc / PGDip at Swansea University is typically 1 year of full-time study. Approximate — confirm with the university.
What will I study in Applied Data Science, MSc / PGDip?
Applied Data Science, MSc / PGDip covers areas like postgraduate-research-methods, work-placement, health-research-methods, educational-research-methods, social-research-methods, applied-statistics, applied-mathematics, public-health-research.
How much does Applied Data Science, MSc / PGDip cost?
Indicative domestic fees for Applied Data Science, MSc / PGDip are around £3,550 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Applied Data Science, MSc / PGDip?
Applied Data Science, MSc / PGDip is offered by Swansea University, Wales.
Considering Applied Data Science, MSc / PGDip?
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Sources: Swansea University official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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