Course summary
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, and does not currently include specialist actuarial mathematics content (which will be studied in the actuarial professional examinations). It does produce graduates well equipped to apply for trainee actuary positions. Students reaching a sufficiently high level in core classes will be eligible for exemption from two of the professional examinations of the IFoA, namely CS1 and CB2.
Modules
Principles of Finance; Foundations of Probability & Statistics; Inference & regression Modelling; Fundamentals of Macroeconomics; Fundamentals of Microeconomics; Behavioural Finance; Security Analysis; Portfolio Theory & Management; Risk Management for Banks; Financial Econometrics; Financial Stochastic Processes; Quantitative Risk Analysis; Quantitative Business Analysis; Risk Analysis & Management; Bayesian Spatial Statistics
Assessment method
The form of assessment varies from class to class. For most classes the assessment involves both coursework and examinations.
Entry requirements
Minimum second class honours degree or international equivalent in: engineering; science subjects (e.g. physics, chemistry or computing science); business subjects (e.g. business studies, accounting or economics) Prospective students with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees in relevant disciplines are accepted. This MSc requires some prior mathematical knowledge for example: - A level or equivalent or undergraduate classes in: Calculus; Linear Algebra; Differential equations; Probability; Statistics You must have an English language minimum score of IELTS 6.0 (with no component below 5.5).
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Sponsorship information
https://www.strath.ac.uk/studywithus/scholarships/
Provider information
University of Strathclyde
McCance Building
16 Richmond Street
Glasgow
G1 1XQ