The Master of Actuarial Studies equips you with the data analytics and quantitative risk management training for an actuarial career, and careers in finance. Through this degree, 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. The program is accredited by the Actuaries Institute and includes courses and electives to develop your future career as a business professional. The program has also earned the University-Earned Credit (UEC) program status for Financial Mathematics (FM) exam and Statistics for Risk Modelling (SRM) exam. This UEC program facilitates the pathway for students who pursue the Society of Actuaries (SOA) profession by providing opportunities to earn credit for SOA exams. Graduates of actuarial studies are in high demand. Upon graduation you’ll be ready for a quantitative role in a range of industries including financial services, insurance, and superannuation, and be equipped help businesses, governments, not-for-profit organisations, and individuals make critical decisions for the future.
* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة
فبراير 2026
Kensington Campus
UNSW Sydney, High St,
Kensington,
New South Wales,
2052, Sydney, Australia
* السعر الظاهر هو سعر توضيحي، يرجى تواصل مع الجامعة
سبتمبر 2026
Kensington Campus
UNSW Sydney, High St,
Kensington,
New South Wales,
2052, Sydney, Australia
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.
قد يكون هناك متطلبات أيلتس مختلفة بناء على التخصص المحدد.
جامعة نيو ساوث ويلز في سيدني هي مؤسسة تعليمية وبحثية رائدة على مستوى العالم، وقد تم تصنيفها ضمن أفضل 20 جامعة على مستوى العالم.
