Applicants must present a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0, with at least one course in the field of mathematics that must cover calculus and linear algebra.
Or an ANU Graduate Certificate of Finance and Actuarial Statistics (Actuarial Statistics or Actuarial Studies specialisation) with a minimum GPA of 4.5/7.0, with at least one course in the field of mathematics from university studies that must cover calculus and linear algebra.
English requirement
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Academic IELTS |
An overall score of 6.0 with a minimum of 5.5 in each component of the test. |
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TOEFL** - paper based test |
A score of 550 with a TWE* score of 4.0. |
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TOEFL** - internet based test |
An overall score of 68, with a minimum of 18 in Writing.. |
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Cambridge CAE Advanced (Post 2015) |
An overall score of 169 with a minimum of 162 in all sub-skills. |
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PTE Academic |
An overall score of 57 with a minimum score of 50 in each of the communicative skills.. |
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Duolingo |
105 |
Other requirements
Are you a maths whiz who wants stimulating work, limitless potential and an ever growing salary? This is the esteemed degree that will make you a thought leader in actuarial fields. With an ANU Master of Actuarial Studies degree you will excel in your career literally anywhere in the world.
Risk is all around us - in investment markets, on the roads, from our health and the climate. This degree will teach you how to apply your mathematical talent in understanding, measuring and managing the risks.
Graduates will apply mathematical, statistical, financial, economic and other skills to untangle the most complex and difficult problems facing the commercial world.
More Info: Click here
The Master of Actuarial Studies requires the completion of 96 units, which must consist of:
72 units from completion of the following compulsory courses:
ACST8032 Actuarial Data Analysis
ACST8040 Actuarial Control Cycle 1
ACST8041 Actuarial Control Cycle 2
STAT6013 Principles of Mathematical Statistics for Actuarial Studies
STAT6014 Regression Modelling for Actuarial Studies
STAT6043 Life Contingencies
STAT6045 Actuarial Techniques
STAT6046 Financial Mathematics
STAT7004 Introduction to Stochastic Processes
STAT7042 Survival Models
STAT8057 Risk Modelling 1
STAT8058 Risk Modelling 2
24 units from completion of the following courses:
ACST8050 Research Essay in Actuarial Studies
ACST8500 RSFAS Masters Thesis
BUSN7008 Financial Statements and Reporting
BUSN7036 Financial Statement Analysis
BUSN7045 Corporate Governance
COMP6240 Relational Databases
COMP6261 Information Theory
COMP6420 Introduction to Data Management, Analysis and Security
COMP6490 Document Analysis
COMP6670 Introduction to Machine Learning
COMP6710 Structured Programming
COMP6730 Programming for Scientists
COMP8410 Data Mining
COMP8420 Neural Networks, Deep Learning and Bio-inspired Computing
COMP8430 Data Wrangling
COMP8600 Statistical Machine Learning
COMP8880 Computational Methods for Network Science
ECON8013 Optimisation for Economics and Financial Economics
ECON8069 Business Economics
EMET8001 Applied micro-econometrics
EMET8005 Econometric Methods and Modelling
EMET8008 Advanced Econometrics II
EMET8012 Business and Economic Forecasting
EMET8014 Advanced Econometrics I
FINM7003 Continuous Time Finance
FINM7006 Applied Foundations of Finance
FINM7007 Applied Corporate Finance
FINM7008 Applied Investments
FINM7041 Applied Derivatives
FINM7044 Corporate Valuation
FINM7045 Asian Capital Markets
FINM8004 Advanced Corporate Finance
FINM8006 Advanced Investment
FINM8007 Topics in International Finance
FINM8014 Applied Financial Intermediation and Debt Markets
FINM8016 Applied Portfolio Construction
FINM8017 Trading and Markets
MGMT7020 Technology and Project Management
MGMT7250 Evidence-Based Management
STAT7006 Advanced Stochastic Processes
STAT7016 Introduction to Bayesian Data Analysis
STAT7017 Big Data Statistics
STAT7018 Stochastic Modelling
STAT7026 Graphical Data Analysis
STAT7029 Design of Experiments and Surveys
STAT7030 Generalised Linear Models
STAT7040 Statistical Learning
STAT7050 Advanced Statistical Learning
STAT8002 Applied Time Series Analysis
STAT8027 Statistical Inference
STAT8056 Advanced Mathematical Statistics
CBEA6070 ANU College of Business and Economics Internship Project
Students must achieve a minimum 60% weighted average mark in the first 48 units of courses attempted in order to remain enrolled in the Master of Actuarial Studies.
If the total number of units attempted exceeds 48 in the same teaching period in which the 48th unit is attempted, exactly 48 units will be used in the calculation of the weighted average mark with units from the course with the highest mark applied first followed by further units from courses in descending order of marks.
Students who do not achieve a minimum of 60% weighted average mark in the first 48 units will be transferred to the Graduate Diploma of Business.
Study Options
|
Year 148 units |
STAT6013Principles of Mathematical Statistics for Actuarial Studies6 units | STAT6014Regression Modelling for Actuarial Studies6 units | STAT6046Financial Mathematics6 units | FINM7006Applied Foundations of Finance6 units |
| STAT6043Life Contingencies6 units | STAT6045Actuarial Techniques6 units | STAT7004Introduction to Stochastic Processes6 units | BUSN7008Financial Statements and Reporting6 units | |
|
Year 248 units |
ACST8040Actuarial Control Cycle 16 units | STAT7042Survival Models6 units | STAT8057Risk Modelling 16 units | FINM7007Applied Corporate Finance6 units |
| ACST8032Actuarial Data Analysis6 units | ACST8041Actuarial Control Cycle 26 units | STAT8058Risk Modelling 26 units | ECON8069Business Economics6 units |
Demonstrate key concepts in actuarial studies and related fields, including:
a.Utilise concepts in financial mathematics, including the time value of money, annuities, bond and loan calculations
b.Apply mathematical statistics, regression modelling and other statistical techniques to actuarial problems
c.Describe and apply stochastic processes, survival models and their application in actuarial contexts
d.Model and value cash flows dependent on death, survival, illness, retirement, and other contingencies
e.Apply risk modelling techniques across a variety of financial contexts
Analyse and interpret specific business situations so that the correct actuarial and other techniques can be applied.
Utilise critical thinking to solve specific actuarial problems and communicate their results to a relevant audience.
Apply actuarial research planning and methodology.
