Mathematics and Computing for Finance, MSc
Swansea University · Wales · MSC-MATHEMATICS-AND-COMPUTING-F-1vt9u7x
Mathematics and Computing for Finance, MSc is a Postgraduate taught degree at Swansea University, Wales, typically 1 year of full-time study. It covers areas like mathematics, mathematics education, applied mathematics, computational mathematics, management accounting, financial accounting. The summary below is compiled from public course information — approximate, not official.
Swansea University
Postgraduate taught
1 year
£9,150
What you'll study in Mathematics and Computing for Finance, MSc
Example subjects: Business and Management, Computational Thinking, Fundamentals of Machine Learning, Computing: History and Impact, Leadership and Complexity Management (EngD), Dissertation Pre-requisite Module (Society, Environment and Global Change), Economics, Accounting and Finance, Finance for Non-Finance Managers (Coleg Cambria), Operations Management 1 (Coleg Cambria), Business Management 1 (Coleg Cambria), Operations Management 2 (Coleg Cambria).
Frequently asked questions
How long is Mathematics and Computing for Finance, MSc?
Mathematics and Computing for Finance, MSc at Swansea University is typically 1 year of full-time study. Approximate — confirm with the university.
What will I study in Mathematics and Computing for Finance, MSc?
Mathematics and Computing for Finance, MSc covers areas like mathematics, mathematics-education, applied-mathematics, management-accounting, computational-mathematics, financial-accounting, business-communication, postgraduate-research-methods.
How much does Mathematics and Computing for Finance, MSc cost?
Indicative domestic fees for Mathematics and Computing for Finance, MSc are around £9,150 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Mathematics and Computing for Finance, MSc?
Mathematics and Computing for Finance, MSc is offered by Swansea University, Wales.
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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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