For help with understanding these important regulations, please watch our video.

Key to the tables

P Prerequisite: Course(s) you must complete to a defined standard (or have waived) before your enrolment in another course is confirmed.

C Corequisite: Course(s) that must be completed in the same semester as another course, unless already passed or waived.

R Restriction: Similar courses, that cannot both be credited to the same qualification.

The Degree of Master of Applied Statistics
MApplStat

No new enrolments

Qualification Regulations

Part I

These regulations are to be read in conjunction with all other Statutes and Regulations of the University including General Regulations for Postgraduate Degrees, Postgraduate Diplomas, and Postgraduate Certificates.

Part II

Admission

1. Admission to the Degree of Master of Applied Statistics requires that the candidate will:

(a) meet the University admission requirements as specified; and

(b) shall have been awarded or qualified for a Bachelor’s degree with a major in Statistics, or equivalent, having achieved a B grade average or higher over the qualifying highest level courses.

Qualification Requirements

2. Candidates for the Degree of Master of Applied Statistics shall follow a parts-based programme of study, which shall consist of courses totalling at least 180 credits, comprising:

(a) completion of Part One and Part Two as defined by the Schedule to the Degree;

(b) courses selected from the Schedule to the Degree; and including:

(c) any Compulsory Courses listed in the Schedule to the Degree.

Specialisations

3. The Degree of Master of Applied Statistics is awarded without specialisations.

Student Progression

4. For progression from Part One to Part Two, candidates must have achieved a minimum Grade Average of B over the Part One courses.

5. In cases of sufficient merit, the Degree of Master of Applied Statistics may be awarded with Distinction or Merit.

Completion Requirements

6. The timeframes for completion as outlined in the General Regulations for Postgraduate Degrees, Postgraduate Diplomas, and Postgraduate Certificates will apply.

7. Candidates may be graduated when they meet the Admission, Qualification and Academic requirements within the prescribed timeframes; candidates who do not meet the requirements for graduation may, subject to the approval of Academic Board, be awarded the Postgraduate Diploma in Science and Technology (Statistics) should they meet the relevant Qualification requirements.

Academic Progress

8. The general Unsatisfactory Academic Progress regulations will apply.

Schedule for the Master of Applied Statistics

Part One

Compulsory courses (30 credits from)

161705 Advanced Statistical Inference 15 credits

161770 Statistical Consulting 15 credits

Elective courses (90 credits from)

161704 Bayesian Statistics 15 credits

161709 Topic in Statistical Theory 15 credits

161725 Statistical Quality Control 15 credits

161729 Topics in Applied Statistics 15 credits

161743 Statistical Reliability and Survival Analysis 15 credits

161744 Statistical Genetics 15 credits

247792 Special Topic 15 credits

247793 Special Topic 15 credits

Including up to 30 credits from:

161762 Multivariate Analysis for Big Data 15 credits
R 161323, 161772

161777 Practical Data Mining 15 credits
R 161223 and 161324

Part Two (60 credits from)

161893 Research Report 60 credits