The MSc in Actuarial Science at Strathclyde has been developed to give students wishing to move into the actuarial profession a strong foundation in the statistical concepts, models and techniques used in actuarial calculations, their computer implementations, and the financial and economic contexts of these calculations.
The programme is an innovative cross-faculty alliance between the Strathclyde Business School and the Faculty of Science.
The course is designed so that students with a strong aptitude for mathematics and statistics, but who have not studied these topics in detail in their undergraduate degree, can gain the necessary skills to move into the financial industry. It's intended as a conversion course, teaching material in statistics, economics and finance. It does not currently include specialist actuarial mathematics content (which will be studied in the actuarial professional examinations).
Minimum second-class honours degree or international equivalent in:
engineering
science subjects (for example, physics, chemistry or computing science)
business subjects (for example, business studies, accounting or economics)
Mathematics/statistics graduates should contact the course director to discuss their application.
Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply.
For fees and funding options, please visit website to find out more
A career as an actuary is a desirable one and is often referred to as one of the best professions to work in. There are many reasons for this including salary, job security and satisfaction (Actuarial Salaries & Benefits 2023 – Hays).
The increasing accessibility of healthcare and changes to insurance regulation are driving high demand for actuaries and, once qualified, actuaries are able to work anywhere in the world.
Graduates of this course wishing to pursue a career as an actuary will typically work at an insurance company or at a consultancy.
Most graduates enter the profession by joining a company as an actuarial trainee or risk analyst at the same time as studying for professional exams.
Principles of Finance
Foundations of Probability & Statistics
Inference & Regression Modelling
Fundamentals of Macroeconomics
Fundamentals of Microeconomics
Behavioural Finance
Fixed Income Analysis
Equity Analysis
Portfolio Theory & Management
Financial Econometrics
Financial Stochastic Processes
Quantitative Risk Analysis
Risk Analysis & Management
Spatial Statistics
Statistical Machine Learning
Actuarial Science Summer Project
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