Communicate the results and insights of operational and financial analyses to stakeholders with differing levels of quantitative expertise.

Apply advanced data-analytical, computational and programming skills to the implementation of operational and financial models.

Use the techniques of mathematical statistics to draw inferences from the application of operational and financial models to data and quantify the uncertainty in these inferences.

Apply economic, financial and accounting knowledge in an operational context to develop modelling solutions that are informed by financial theory and reflect business and managerial realities.

Deploy the methods of logical reasoning and the techniques of mathematical problem-solving to analyse the properties and consequences of financial and operational models.

Formulate mathematical models to describe operational and financial risks, and apply these models to problems in the real world and reflect critically on model assumptions and limitations.

Find out more about how this course may be affected.

Our course structures are changing in September 2023. Our modules may change to reflect the latest academic thinking and expertise of our staff. You will take a selection of option modules, examples of which may include: Mathematics

Further Statistics for Actuarial Science.

You will take core modules which may include:

Option modules allow you to focus on areas which interest you and include opportunities to work on real-life issues with a business consultancy project. Your final year covers advanced statistical and financial skills, in addition to new topics, such as game theory and decision theory.

Operational research course