MSc Actuarial Management

The MSc Actuarial Management with Data Science Course offered by Heriot-Watt University is a postgraduate course designed for students who have an actuarial background and are excited to apply their knowledge in managing risk and long-term business decision making. Focusing on advanced actuarial topics and incorporating Data Science into the syllabus, this course enables students to tap into the emerging field of data science and leverage it in the actuarial field.Course Content: The MSc Actuarial Management with Data Science course content offers a novel combination of advanced actuarial topics along with hands-on experience in data analysis using popular programming languages like R and Python. The course modules are aimed at developing the student's technical and strategic skills. The course also requires students to do a major project on a topic related to actuarial management or data science. Key Modules: The key modules include – Life insurance, General insurance, Pensions, and Health and care, Risk management portfolios alongside Financial economics and ERM, Continuous-time finance, and Stochastic calculus. Additionally, students will also get hands-on experience in data visualization, handling data analysis using R and Python, machine learning methods, and a wide variety of statistical learning techniques. Accreditations: This course is part of the fully accredited IFoA actuarial exam system. It makes the students substantially exempted from IFoA professional examinations, up to the level of Associate including subject CS1. Students get individual subject accreditations which depend upon the choice of their optional courses.Future Careers: After successfully completing this course, students have many exciting career opportunities open for them. Graduates find employment in a range of industries including insurance, pensions, healthcare, banking, and investments. Actuaries with skills in data science are highly sought after in technology, logistics, transportation, and other sectors.For more information on this course, please visit the official course page.