- Length 2 year full-time
- Minimum 96 Units
The Master of Statistics requires the completion of 96 units, which must consist of:
48 units from completion of the following compulsory courses:
STAT6038 Regression Modelling
STAT6039 Principles of Mathematical Statistics
STAT7004 Introduction to Stochastic Processes
STAT7016 Introduction to Bayesian Data Analysis
STAT7026 Graphical Data Analysis
STAT7030 Generalised Linear Models
STAT7040 Statistical Learning
STAT8027 Statistical Inference
A minimum of 24 units from completion of courses from the following list:
STAT7006 Advanced Stochastic Processes
STAT7017 Big Data Statistics
STAT7018 Stochastic Modelling
STAT7029 Design of Experiments and Surveys
STAT7042 Survival Models
STAT7050 Advanced Statistical Learning
STAT8002 Applied Time Series Analysis
STAT8056 Advanced Mathematical Statistics
A maximum of 24 units from completion of the following courses:
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
EMET8001 Applied micro-econometrics
EMET8005 Econometric Methods and Modelling
EMET8008 Advanced Econometrics II
EMET8012 Business and Economic Forecasting
EMET8014 Advanced Econometrics I
MATH6005 Discrete Mathematical Models
MATH6100 Bioinformatics and Biological Modelling
MATH6102 Environmental Modelling and Integrated Assessment
MATH6109 Probability Modelling with Applications
MATH6110 Analysis 1: Metric spaces and Applications
MATH6111 Scientific Computing
MATH6112 Matrix Computations
MATH6115 Mathematical Finance
MATH6119 Numerical Optimisation
MATH6208 Advanced Mathematical Bioinformatics
MATH6212 Analysis 2: Topology, Lebesgue Integration and Hilbert Spaces
POPH8100 Fundamentals of Epidemiology
POPH8101 Biostatistics in Population Health
POPH8313 Analysis of Public Health Data
STAT6043 Life Contingencies
STAT6046 Financial Mathematics
STAT8053 Research Essay in Statistics
STAT8057 Risk Modelling 1
STAT8058 Risk Modelling 2
STAT8500 RSFAS Masters Thesis
CBEA6070 ANU College of Business and Economics Internship Project
|Year 1 48 units||STAT6038 Regression Modelling 6 units||STAT6039 Principles of Mathematical Statistics 6 units||Course from the elective list||Course from the elective list|
|STAT7030 Generalised Linear Models 6 units||STAT7026 Graphical Data Analysis 6 units||STAT7016 Introduction to Bayesian Data Analysis 6 units||STAT7004 Introduction to Stochastic Processes 6 units|
|Year 2 48 units||STAT7040 Statistical Learning 6 units||STAT8027 Statistical Inference 6 units||A course from STAT7018,STAT7029, STAT7042/8003, STAT8002||A course from STAT7018,STAT7029, STAT7042/8003, STAT8002,|
|A course from STAT7006,STAT7017, STAT7050,STAT8056||A course from STAT7006,STAT7017, STAT7050,STAT8056||Course from the elective list||Course from the elective list|
At a minimum, all applicants must meet program-specific academic/non-academic requirements, and English language requirements. Admission to most ANU programs is on a competitive basis. Therefore, meeting all admission requirements does not automatically guarantee entry.
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.
Applicants with an ANU Graduate Certificate of Finance and Actuarial Statistics (Statistics specialisation) with a GPA of 4.5, with at least one course in the field of mathematics from university studies that must cover calculus and linear algebra.
In line with the university's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants on the basis of specific academic achievement, English language proficiency and diversity factors.
Academic achievement & English language proficiency
The minimum academic requirement for full entry and enrolment is a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0 or 4.5/7.0 (as applicable).
However, applicants will first be ranked on a GPA ('GPA1') that is calculated using all but the last semester (or equivalent) of the Bachelor degree used for admission purposes.
If required, ranking may further be confirmed on the basis of:
• a GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor degree used for admission purposes; and/or
• demonstrating higher-level English language proficiency.
Prior to enrolment in this ANU program, all students who gain entry will have their Bachelor degree reassessed, to confirm minimum requirements were met.
As Australia’s national university, ANU is global representative of Australian research and education. ANU endeavours to recruit and maintain a diverse and deliberate student cohort representative not only of Australia, but the world. In order to achieve these outcomes, competitive ranking of applicants may be adjusted to ensure access to ANU is a reality for brilliant students from countries across the globe.
Assessment of qualifications
Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met.
Where an applicant has more than one completed tertiary qualification, ANU will base assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework: www.aqf.edu.au
ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities: www.uac.edu.au/future-applicants/admission-criteria/tertiary-qualifications
Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base assessment on the best GPA of all completed tertiary qualifications of the same level or higher.
Applications for course credit
Applicants with a Bachelor Degree or Graduate Certificate in a cognate discipline may be eligible for 24 units (one semester) of credit.
Applicants with a Graduate Diploma or Honours in a cognate discipline may be eligible for 48 units (one year) of credit.
- Annual indicative fee for domestic students
For more information see: http://www.anu.edu.au/students/program-administration/costs-fees
- Annual indicative fee for international students
ANU offers a wide range of scholarships to students to assist with the cost of their studies.
Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are. Specific scholarship application process information is included in the relevant scholarship listing.
For further information see the Scholarships website.
In disciplines as diverse as biology, economics, actuarial studies, psychology, physics, archaeology, medicine and information technology, there is always a need for qualified statisticians to make proper sense of the data. The Master of Statistics program will enable you to specialise in any of a large number of areas, as well as receive rigorous training in core statistical application and theory. This will set you up as a professional statistician whose services will be highly sought-after. With an ANU Master of Statistics you will excel in your career literally anywhere in the world.
Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.
The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.
- Demonstrate statistical computing skills for use in quantitative and data-based problem solving.
- Understand and be able to apply the processes and applications of: multiple linear regression, survey design; mathematical statistics, stochastic modelling, generalised linear modelling techniques; the principles of data representation, summarisation and presentation; multivariate statistical techniques; and, the role and notion of both parametric and non-parametric statistics.
- Analyse complex problems by running and interpreting time series models involving dynamic volatility and/or trends.
- Analyse and interpret data in various contexts using appropriate methodology.
- Work independently and collaboratively to collect, process, interpret and communicate the outcomes of fundamental research questions in applied statistics.
Information on inherent requirements is currently not available for this program
For Domestic Students applying through UAC: If you have completed an overseas qualification, please send a scanned copy of your original testamur (graduation certificate) and academic transcript through to email@example.com. The scanned documents should be in colour and unaltered in size. Please include your name and UAC number in the email.
Students in the Master of Statistics program have the option of applying to undertake a Statistics Masters thesis as a possible pathway to PhD study. Details regarding the Masters thesis are below:
· Length: 24 units, to be completed in the final year of the Master of Statistics
· Eligibility: To be eligible to apply, students must have achieved a GPA of at least 6.5 across prior coursework within the Master of Statistics. Eligibility will also depend on the compulsory courses that students are required to still complete as part of their Masters degree, and specifically whether students have sufficient space in their program.
· How to apply: Students’ must write a case as to why they want to engage in the course and must have already secured a supervisor
· Courses the thesis replaces: The courses that the thesis replaces will be determined in consultation with the Statistics Masters convenor and will depend on the background of each student.
Students who are accepted into the Masters thesis component should contact Robert Clark (Robert.Clark@anu.edu.au) to confirm their study plan for the program. Please note that undertaking a Masters thesis does not guarantee entry to a PhD.
It is possible to enrol in less than 24 units per semester but it will take you longer to finish your program and get your degree. If you are an international student you must always be enrolled full-time in 24 units each semester.You are encouraged to enrol in courses for both First Semester and Second Semester. You will be able to change your enrolment in courses up until Monday of week 2 of each semester without penalty.
Master of Statistics
Students may discuss their course selection with the Program
Convener, Dr Robert Clark (firstname.lastname@example.org).