The course trains you to apply the probabilistic, statistical and mathematical techniques that are used in the finance industry.
It's based on our Statistics MSc course, but also includes key financial topics such as the Capital Asset Pricing Model, the Black-Scholes option pricing formula and stochastic processes.
You’ll also develop a detailed working knowledge of more general statistical techniques and concepts, including linear and generalised linear modelling, Bayesian statistics, time series and machine learning.
You’ll learn how to analyse and draw meaningful conclusions from data, and develop your programming skills using the statistical computing software R.
Your career
This course is great preparation for roles in the finance sector such as banking, actuarial work, pensions and insurance. Employers that have hired graduates from our School of Mathematics and Statistics in finance roles include Goldman Sachs, Lloyds, Aviva, AXA, Amazon, BAE Systems, Deloitte, PwC and the NHS.
This degree satisfies the eligibility criteria for the Royal Statistical Society’s Graduate Statistician award – a stepping-stone to full professional membership of the RSS and Chartered Statistician status. Scholarships - View all scholarships Internships
Duration: 1 Year(s)Fees: GB£24,400
Intake | Location |
---|---|
Autumn (September), 2024 | Sheffield |
Autumn (September), 2025 | Sheffield |
Your degree must also include a substantial component in statistics and probability theory.
Overall IELTS grade of 6.5 with a minimum of 6.0 in each component, or equivalent.
Test of English as a Foreign Language (TOEFL) internet-based test (IBT) - Overall score of 88 or above, with at least 17 in Listening, 17 in Writing, 18 in Reading and 20 in Speaking.
6.5
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TOEFL Internet based overall score: 88.0
Pathway options to study at this institution
105th / 1250
THE World ranking20th / 130
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