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Statistics with Finance MSc

Postgraduate Taught

Course code

P-G4P1

Start date

27 September 2027

Study location

University of Warwick

Qualification

Master of Science (MSc)

Department

Department of Statistics

Duration

1 year full-time

Course overview

Build the skills for a finance career.

From marketing and insurance to banking and PhD research, our MSc equips you with the skills to forge a successful finance career. Build on your mathematical background with a comprehensive introduction to probability, stochastic modelling and mathematical finance. Combined with core modules in statistical theory, methods and applications, you'll develop the analytical and quantitative skills needed for a career in finance.

Students gathered around a table on a curved orange sofa, collaborating with a laptop and notes.

Modules

Develop expertise in statistics, probability and finance.

  • Advanced probability: our core module builds a rigorous foundation in measure-theoretic probability theory
  • Financial modelling skills: explore topics such as stochastic methods in finance, applications of stochastic calculus, time series analysis and advanced trading strategies
  • Specialist applications: follow your areas of interest, such as Bayesian statistics, statistical learning, Monte Carlo methods or medical statistics

Note that information found by following the links to the module catalogue is subject to change for future years of study, as we evolve our courses in response to the latest developments in academia and industry.

Further to the core modules students on the MSc in Statistics with Finance choose 5 optional modules. At least 2 of these modules must be chosen from a list that covers themes in Mathematical Finance. You may choose the remaining modules from a broad range of modules which cover topics in probability, data science and statistics. Availability of optional modules can change from year to year, but may include the following examples:

You may also choose up to three modules from a broad range of Statistics and Probability modules available on the MSc in Statistics. Please note that optional modules may vary from year to year.

Teaching and learning

Learn to analyse risk, uncertainty and financial systems with confidence.

  • Quantitative expertise: develop advanced mathematical and statistical modelling skills
  • Applied finance: understand how modern statistical techniques support financial decision-making
  • Independent study: complete a dissertation with expert supervision covering real-world challenges or advanced research topics

Entry requirements

Fees and scholarships

Tuition fees are payable for each year of your course at the start of the academic year, or at the start of your course, if later. Academic fees cover the cost of tuition, examinations and assessment and some student amenities.

Find your course fees

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