GraduateBusiness

Graduate Certificate in Actuarial Analytics

UNSW Sydney, Sydney, NSW, Australia

About this program

UNSW's Graduate Certificate in Actuarial Analytics is a four-course entry point into actuarial science, built for professionals who want to upskill in data analytics, financial mathematics and risk management without committing to a full master's degree. All actuarial courses are accredited by the Actuaries Institute, so the units genuinely count toward professional recognition rather than just general business knowledge. Coverage spans actuarial models, probability, machine learning and artificial intelligence, positioning graduates for roles across superannuation, insurance, banking and broader financial services. It suits people with a quantitative undergraduate background in mathematics, statistics, econometrics, data science or engineering who want a fast, credible actuarial credential, and it also serves as a pathway into UNSW's Master of Actuarial Studies for students who decide to continue toward full actuarial qualification.

Fees & duration

Duration0.7 yr
Tuition (international)A$44,800
Application feeA$150

English test scores

IELTS6.5 overall (W6)
PTE64 overall

Verified unsw.edu.au ↗

Course structure

  • ACTL5101Probability and Statistics for Actuaries
  • ACTL5102Financial Mathematics. Prescribed Elective Courses: ACTL5100 Actuarial Theory and Practice A
  • ACTL5103Stochastic Modelling for Actuaries
  • ACTL5104Survival Analysis and Prediction of Life and Health Related Risks
  • ACTL5105Life Insurance and Superannuation
  • ACTL5106Insurance Risk Models
  • ACTL5108Finance and Financial Reporting for Actuaries
  • ACTL5109Financial Economics for Insurance and Superannuation
  • ACTL5110Statistical Machine Learning for Risk and Actuarial Applications
  • ACTL5111Artificial Intelligence and Deep Learning Models for Risk and Insurance
  • ACTL5200Actuarial Theory and Practice B
  • ACTL5305Actuarial Data Science Applications
  • COMM5501Data Visualisation and Communication
  • RISK5001Fundamentals of Risk and Risk Management
  • RISK5002Risk Analytics
  • RISK5003Risk Decision Analytics
  • RISK5005Cl..

Career & PR pathway

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Admissions

To be eligible for the program, you must have: A recognised bachelor degree (or equivalent qualification) in mathematics, statistics, econometrics, actuarial studies, financial engineering, data science, data engineering, physics, engineering, or other related quantitative field with a minimum WAM of 60. Assumed knowledge: mathematical background in calculus and linear algebra at first-year university undergraduate level Notes: Students without an Actuarial background are advised to begin their studies in Term 1, as core courses are only offered in Term 1 each year. Students with an Actuarial background may be granted exemptions for core courses based on their previous Actuarial studies (bachelor's degree or higher). Students who receive exemptions must complete additional electives to meet the program's UOC requirements.

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