Data Analytics and Actuarial Science, BSc (Hons)

The BSc (Hons) in Data Analytics and Actuarial Science, delivered by Bayes Business School at City, University of London, equips students with skills in quantitative methods for financial risk and uncertainty, alongside data analytics using coding, AI, and machine learning. Ideal for those passionate in mathematics, probability, and statistics, the program covers core areas like economics, IT, and programming in Python and R, preparing graduates for careers in actuarial science, risk management, and data analysis. It offers up to five exemptions from the Institute and Faculty of Actuaries' examinations and includes opportunities for work placements or study abroad.The three-year course features core modules across years, starting with foundational mathematics and economics, progressing to data analytics and stochastic modelling, and culminating in AI, statistical modelling, and a final-year project. Assessment combines coursework, exams, tests, and presentations, with a mix that increasingly emphasizes practical work in later years. Modules may vary, ensuring a balance of theory and real-world application.

Year one There are no electives in the first year. Core modules:

• Introduction to actuarial methods and career planning

• Mathematics for actuarial science

• Probability and statistics 1

• Finance and investment mathematics

• Introduction to economics

• Introduction to Excel and statistical packages

• Introduction to VBA for Excel

Year two In year two, the focus of the core modules moves from mathematics to data analytics, statistics, probability and actuarial science. Alongside the core modules, students are able to take two elective modules that are based in the areas of actuarial science and finance. Three of the elective modules on offer enable students to gain exemptions from the Institute and Faculty of Actuaries’ professional examination. However, as students only take two electives it means those taking the Data Analytics and Actuarial Science degree are only able to gain a maximum of five exemptions. Core modules:

• Calculus and linear algebra (mathematics 2)

• Fundamentals of finance

• Probability and statistics 2

• Python, R and data structures

• Python, R and databases

• Stochastic modelling

Year three In your final year you will be taught four core modules allow students to develop an in-depth understanding of statistical and data analytics subjects, while a wide range of electives cover actuarial science, statistics, business and economics. Students also undertake a final-year project in an area relevant to their interests and ambitions. Students wishing to gain the maximum of five exemptions from the Institute and Faculty of Actuaries’ examinations must select three specific electives in the final year (Advanced contingencies, Advanced financial economics and Survival models). Core modules:

• AI and machine learning

• Data visualisation

• Final-year project

• Probabilistic modelling

• Statistical modelling.

Modules are subject to change.