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BSc Data Analytics and Actuarial Science
About this course
Data analytics and actuarial science is a combination that addresses two of the most important quantitative disciplines in contemporary professional life. Data analytics is concerned with how large, complex datasets are collected, processed, analysed, and interpreted to support decision-making, using statistical, computational, and machine learning methods to extract insight from information. Actuarial science applies rigorous mathematical and statistical methods to the measurement and management of financial risk, particularly in insurance, pensions, and finance, and is one of the most precisely defined and highly regarded quantitative professions. At City St George's, University of London, this three-year programme is delivered by Bayes Business School, formerly known as Cass and ranked among the leading business schools in the UK and Europe. The combination of Bayes's strong quantitative and financial reputation with a programme that bridges data analytics and actuarial science gives graduates a distinctive professional profile at a time when both disciplines are in very high demand. You will study statistical modelling, data science methods, programming, and machine learning alongside the core actuarial curriculum in probability, financial mathematics, and risk theory. The programme includes a sandwich year in industry with work placement, giving you extended professional experience in an actuarial, data, or financial organisation before you graduate. A typical entry tariff of 184 points reflects the demanding quantitative entry requirements of a programme at this level. Many of the actuarial modules in the programme are designed to provide exemptions from Institute and Faculty of Actuaries professional examinations, which is a significant advantage for graduates wishing to qualify as actuaries. Graduates work as actuaries, data scientists, risk analysts, quantitative analysts, and in the full range of roles in financial services and insurance where both statistical rigour and actuarial knowledge are valued. Postgraduate study in actuarial science, data science, or financial mathematics is a further route for those wishing to deepen their expertise.
Syllabus & Modules
Typical curriculumStudent Satisfaction
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