Data Analytics and Actuarial Science, BSc (Hons), with industry placement

The BSc (Hons) Data Analytics and Actuarial Science at Bayes Business School, part of City, University of London, combines quantitative skills in risk, uncertainty, and data analytics. It equips students with expertise in mathematics, probability, statistics, economics, and IT, including advanced tools like Python and R for data science applications in finance and insurance. The program covers traditional actuarial methods alongside modern areas such as artificial intelligence and machine learning, preparing graduates for evolving industry challenges. It offers up to five exemptions from the Institute and Faculty of Actuaries' examinations and includes opportunities for professional placements or study abroad at partner universities.The curriculum features core modules across four years, starting with foundational mathematics and progressing to data analytics and stochastic modelling. In the final year, students undertake a project and electives in actuarial science or statistics. Assessment combines coursework (35-57% depending on the year) with written exams, tests, and presentations, ensuring a balance of theoretical and practical skills. This degree opens doors to careers in actuarial science, data analysis, risk management, and finance, supported by lecturers with industry experience.

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: You will spend the third year on placement gaining valuable experience, developing your skills and creating a network in the industry. Year four: You will return to Bayes for your final year and 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.