MSc Statistics and Applied Probability

Are you considering a career as a professional statistician in industry? This course will provide you with the necessary advanced knowledge and skills. This masters course differs from the Statistics MSc, by providing specialised training in probability models, particularly suited for roles in business and finance.

Well qualified statisticians and those skilled in using probability models are in demand world-wide as the amount of digital data we generate increases. Employment opportunities are broad in sectors such as:

Course structure

You'll study three compulsory modules covering the fundamentals of statistics. This will provide the basis for the remaining optional modules. These include options such as Mathematical Finance and Statistical Machine Learning.

You will develop advanced statistical techniques. This will enable you to test theories, learn how to interpret large and complex data, and to extract relevant insights from it. The masters will enable you to develop computing skills in using R too. The course can lead to careers in data science, healthcare and the digital economy.

In the summer you'll complete a dissertation. This will be in collaboration with staff from the school's internationally recognised Statistics and Probability Section, or one of our industry partners, such as Capital One.

This is highlighted in our commitment to attracting bright minds and inspiring academics to conduct mathematical research throughout the department.

Browser does not support script.

Browser does not support script.

Read more

Modules

  • Compulsory modules
  • Statistical Foundations
  • Stochastic Models
  • Classical and Bayesian Inference
  • Statistics Dissertation
  • Options modules
  • Applied Multivariate Statistics
  • Computational Statistics
  • Stochastic Financial Modelling
  • Statistical Machine Learning
  • Time Series and Forecasting
  • Uncertainty Quantification
  • Use our magical AI system, to check your admission chances for this course.
    £24,000 Per Year

    International student tuition fee

    1 Year

    Duration

    Sep 2024

    Start Month

    Aug 2024

    Application Deadline

    Upcoming Intakes

    • September 2024
    • September 2025

    Mode of Study

    • Full Time