MSc Statistics with Financial Mathematics in Sheffield United Kingdom | The University of Sheffield

The University of Sheffield | Sheffield United Kingdom
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Qualification
Masters Degree (Taught)
Languages
English
Delivery Mode
On-Campus
Tuition (2025)
GBP 26,350
(c. USD35,376.98)
Attendance
Full-time
Full-time Duration
12 months

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.


Destination of Study

Subjects of Study

Language Requirements

English
IELTS 6.5

Qualification Requirements

Minimum 2:1 undergraduate honours degree, with substantial mathematical and statistical components. In particular, you should have studied the following topics and performed well in assessments on them (for example, a score of at least 60 per cent).
Mathematical Methods for Statistics: ideas and techniques from real analysis and linear algebra, including multiple integration, differentiation, matrix algebra, the theory of quadratic forms.
Probability and Probability Distributions: the laws of probability and of conditional probability, the concepts of random variables and random vectors and their distributions, the methodology for calculating with them, laws of large numbers and central limit phenomena.
Basic Statistics: statistical inference, rational decision-making under uncertainty, and how they may be applied in a wide range of practical circumstances, relevant software, for example, R.

Real analysis and stochastic processes: limits of sequences and series, convergence tests, continuity and differentiability, stochastic processes and the Markov property.
IELTS - Overall score of 6.5 with a minimum of 6.0 in each component,
TOEFL - Overall score of 88 with a minimum of 19 in Listening, 20 in Reading, 22 in Speaking and 19 in Writing,

Tuition GBP 26,350

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