The Master of Actuarial Studies (Extension) equips you with the data analytics and quantitative risk management training for success in an actuarial career, or a career in finance.
The extension program adds four courses to the Master of Actuarial Studies. This allows you to complete the professionally accredited courses to become an actuary, as well as to broaden your knowledge through electives in actuarial studies, risk management, business, or options in mathematics and in computer science. The program is accredited by the Actuaries Institute.
You’ll learn to apply advanced analytical techniques, deliver highly valued data analytics, and actionable insights. You’ll also develop a specialist quantitative skill set in actuarial models, financial mathematics, probability, machine learning / artificial intelligence analytics, and commerce.
As a graduate of of actuarial studies you'll be in high demand as your training will equip you to help businesses, governments, not-for-profit organisations, and individuals make critical decisions for the future. You'll graduate ready for a quantitative role in a range of industries including financial services, insurance, and superannuation.
IELTS: 7 TOEFL: 94
Students must complete 96 UOC when taken as a standalone program.
36 Units of Credit:
Students must take 36 UOC of the following courses.
Probability and Statistics for Actuaries
Finance and Financial Reporting for Actuaries
Statistical Machine Learning for Risk and Actuarial Applications
Data Visualisation and Communication
Students must take at least 6 UOC of the following courses.
Actuarial Theory and Practice A
Actuarial Data Analytic Applications
Prescribed Electives (Professional Accreditation)
Students must take at least 24 UOC of the following courses.
Stochastic Modelling for Actuaries
Survival Analysis and Prediction of Life and Health Related Risks
Life Insurance and Superannuation
Insurance Risk Models
Financial Economics for Insurance and Superannuation
Actuarial Theory and Practice B
Quantitative Risk Management Techniques
To be eligible for this program, you must have a recognised bachelor degree (or equivalent qualification) with a substantial component of mathematics, statistics, econometrics or actuarial studies, with a credit average, as determined by the UNSW Business School.
Applicants are expected to have a mathematics background equivalent to a full year of calculus and linear algebra at first-year university undergraduate level.
Entries are also open to students with background in related disciplines including financial engineering, data science, data engineering, physics, engineering, any related quantitative field.
Recognition of prior learning or professional recognition
Advanced standing, or recognition of prior learning is credit granted for experience and prior studies that are relevant to the program. It may be granted for courses covered in an undergraduate program, or the examinations of the Actuaries Institute (Australia), the Institute of Actuaries (UK), or the Society of Actuaries.
If you aren't eligible for advanced standing where you have relevant prior learning, you may be able to take some substitution courses, so that you aren't learning material you have already covered.
Indicative First Year Fee
Asset Management Trainee
Risk Assessment Officer
Wealth Management Analyst