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Operational Research with Computational Optimization (MSc) (Full-time)

University of Edinburgh ยท Scotland ยท PTMSCORCPO1FHTM

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Operational Research with Computational Optimization (MSc) (Full-time) is a Postgraduate taught degree at University of Edinburgh, Scotland. It covers areas like mathematical economics, risk modelling, statistical learning, modelling, financial analysis, stochastic processes. The summary below is compiled from public course information โ€” approximate, not official.

University
University of Edinburgh
Level
Postgraduate taught

What you'll study in Operational Research with Computational Optimization (MSc) (Full-time)

risk-modellingmathematical-economicsstatistical-learningmodellingcomputational-mathematicsstochastic-processesstatistical-computingapplied-statisticsmethodologylinear-algebrafinancial-mathematicsfinancial-analysisdata-miningdeep-learning

Example subjects: Algorithmic Game Theory and its Applications, Statistical Methodology, Numerical Linear Algebra, Methodology, Modelling and Consulting Skills, Simulation, Stochastic Modelling (Postgraduate Taught), Time Series, Credit Scoring, Optimization Methods in Finance, Statistical Programming, Incomplete Data Analysis, Generalised Regression Models.

Frequently asked questions

What will I study in Operational Research with Computational Optimization (MSc) (Full-time)?

Operational Research with Computational Optimization (MSc) (Full-time) covers areas like risk-modelling, mathematical-economics, statistical-learning, modelling, computational-mathematics, stochastic-processes, statistical-computing, applied-statistics.

Who offers Operational Research with Computational Optimization (MSc) (Full-time)?

Operational Research with Computational Optimization (MSc) (Full-time) is offered by University of Edinburgh, Scotland.

Considering Operational Research with Computational Optimization (MSc) (Full-time)?

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

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