Data Analytics for Economics & Finance [MSc]
University of Glasgow · Scotland · DATAANALYTICSFORECONOMICSFINANCE
Data Analytics for Economics & Finance [MSc] is a Postgraduate taught degree at University of Glasgow, Scotland, typically 1 year of full-time study. It covers areas like econometrics, financial analysis, mathematical economics, corporate finance, applied statistics, applied mathematics. The summary below is compiled from public course information — approximate, not official.
University of Glasgow
Postgraduate taught
1 year
£12,960
What you'll study in Data Analytics for Economics & Finance [MSc]
Example subjects: APPLIED COMPUTATIONAL FINANCE, ASSET PRICING: THEORY AND EMPIRICS, APPLIED TIME SERIES AND FORECASTING, BAYESIAN DATA ANALYSIS, MICROECONOMETRICS: IMPACT EVALUATION AND CAUSAL ANALYSIS, DISSERTATION DAEF INDUSTRY PATHWAY, DISSERTATION DAEF RESEARCH PATHWAY, STATISTICAL MACHINE LEARNING.
Frequently asked questions
How long is Data Analytics for Economics & Finance [MSc]?
Data Analytics for Economics & Finance [MSc] at University of Glasgow is typically 1 year of full-time study. Approximate — confirm with the university.
What will I study in Data Analytics for Economics & Finance [MSc]?
Data Analytics for Economics & Finance [MSc] covers areas like econometrics, statistical-learning, statistical-computing, financial-analysis, applied-mathematics, mathematical-economics, applied-statistics, financial-mathematics.
How much does Data Analytics for Economics & Finance [MSc] cost?
Indicative domestic fees for Data Analytics for Economics & Finance [MSc] are around £12,960 (approximate, usually per year). International fees differ — confirm with the university.
Who offers Data Analytics for Economics & Finance [MSc]?
Data Analytics for Economics & Finance [MSc] is offered by University of Glasgow, Scotland.
Considering Data Analytics for Economics & Finance [MSc]?
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Sources: University of Glasgow public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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