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Financial Data Science MSc

University of Surrey · England · FINANCIAL-DATA-SCIENCE-MSC

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Financial Data Science MSc is a Postgraduate taught degree at University of Surrey, England, typically 1 year of full-time study. It covers areas like mathematical economics, mathematics education, cryptography, financial mathematics, distributed systems, work placement. The summary below is compiled from public course information — approximate, not official.

University
University of Surrey
Level
Postgraduate taught
Duration
1 year
Indicative fees
£11,300

What you'll study in Financial Data Science MSc

work-placementmathematical-economicsfinancial-mathematicsmathematics-educationprofessional-identityapplied-statisticsfinancial-marketsemployment-relationscryptographystatisticsmathematicsprobabilitydiscrete-mathematicsprofessional-practice

Example subjects: INDUSTRIAL PRACTICE (COMM079), FUNDAMENTALS OF BLOCKCHAIN (ECO3062), EMPLOYABILITY (ENGM324), PROBABILITY AND STATISTICS (MAT1033), MATHEMATICAL TIME SERIES (MAT3054), FINANCIAL MARKETS AND DERIVATIVE PRICING (MATM068), DISSERTATION (MATM069).

Frequently asked questions

How long is Financial Data Science MSc?

Financial Data Science MSc at University of Surrey is typically 1 year of full-time study. Approximate — confirm with the university.

What will I study in Financial Data Science MSc?

Financial Data Science MSc covers areas like work-placement, mathematical-economics, financial-mathematics, mathematics-education, professional-identity, applied-statistics, financial-markets, employment-relations.

How much does Financial Data Science MSc cost?

Indicative domestic fees for Financial Data Science MSc are around £11,300 (approximate, usually per year). International fees differ — confirm with the university.

Who offers Financial Data Science MSc?

Financial Data Science MSc is offered by University of Surrey, England.

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Sources: University of Surrey official course page. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.

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