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Enhance your statistics expertise while mastering the mathematical principles, frameworks, and analytical methods used in finance.
This program equips you to implement probability theory, statistical methods, and mathematical approaches prevalent in financial sectors.
Rooted in our Statistics MSc curriculum, it incorporates essential financial subjects like the Capital Asset Pricing Model, Black-Scholes option valuation, and stochastic modeling.
You'll gain comprehensive proficiency in broader statistical methodologies, covering linear and generalized linear models, Bayesian analysis, time series forecasting, and machine learning applications.
Develop the ability to interpret complex datasets and extract valuable insights, while advancing your programming capabilities through hands-on experience with R statistical software.
Career prospects
Ideal for pursuing opportunities in financial services including banking, actuarial science, retirement planning, and risk management. Our Mathematics and Statistics graduates have secured positions with leading organizations such as Goldman Sachs, Lloyds, Aviva, AXA, Amazon, BAE Systems, Deloitte, PwC, and the NHS.
This qualification meets the requirements for the Royal Statistical Society's Graduate Statistician accreditation - a pathway to professional RSS membership and Chartered Statistician designation.