Master of Statistics Study Plans

Commencing in Semester 1 (After 2020)

Year 1, Semester 1: 24 units

  1. STAT6038 Regression Modelling
  2. STAT6039 Principles of Mathematical Statistics
  3. two courses from the elective list*, e.g.
  • COMP6730 Programming for Scientists
  • EMET8005 Econometric Methods and Modelling

Year 1, Semester 2: 24 units

  1. STAT7004 Introduction to Stochastic Processes
  2. STAT6016 (STAT7016) Introduction to Bayesian Data Analysis
  3. STAT6026 (STAT7026) Graphical Data Analysis
  4. STAT6030 (STAT7030) Generalised Linear Models

 Year 2, Semester 1: 24 units

  1. STAT6040 (STAT7040) Statistical Learning
  2. STAT6027(STAT8027) Statistical Inference
  3. two courses from
  • STAT6018 (STAT7018) Stochastic Modelling
  • STAT6029 (STAT7029) Design of Experiments and Surveys
  • STAT6042 (STAT7042) Survival Models or STAT8003 Biostatistics
  • STAT8002 Applied Time Series Analysis

Year 2, Semester 2: 24 units

At least two courses from

  • #STAT6060 (STAT7006) Advanced Stochastic Processes
  • STAT6017 (STAT7017) Big Data Statistics
  • STAT6050 (STAT7050) Advanced Statistical Learning
  • STAT8056 (STAT8056) Advanced Mathematical Statistics

and at most two courses from the elective list*.

#To take STAT6060 (STAT7006) you will need to have previously taken STAT6018 (STAT7018).

*The elective list refers to the list of courses under “A maximum of 24 units from completion of the following courses:” on Programs and Courses.

Commencing in Semester 2 (After 2020)

Year 1, Semester 2: 24 units

  1. STAT6038 Regression Modelling
  2. STAT6039 Principles of Mathematical Statistics
  3. STAT6026 (STAT7026) Graphical Data Analysis
  4. one course from the elective list*, e.g. COMP6730 Programming for Scientists

Year 1, Semester 1: 24 Units

  1. STAT6040 (STAT7040) Statistical Learning
  2. STAT6027 (STAT8027) Statistical Inference
  3. two courses from

Year 2, Semester 2: 24 units

  1. STAT7004 Introduction to Stochastic Processes
  2. STAT6016 (STAT7016) Introduction to Bayesian Data Analysis
  3. STAT6030 (STAT7030) Generalised Linear Models
  4. one course from
  • STAT6017 (STAT7017) Big Data Statistics
  • STAT6050 (STAT7050) Advanced Statistical Learning
  • STAT6056 (STAT8056) Advanced Mathematical Statistics

 Year 2, Semester 1: 24 units

At least one course from

  • STAT6018 (STAT7018) Stochastic Modelling
  • STAT6029 (STAT7029) Design of Experiments and Surveys
  • STAT6042 (STAT7042) Survival Models or STAT8003 Biostatistics
  • STAT8002 Applied Time Series Analysis

and at most three courses from the elective list*.

*The elective list refers to the list of courses under “A maximum of 24 units from completion of the following courses:” on Programs and Courses.

Commencing in Semester 1 (Pre 2020)

Year 1, Semester 1: 24 units

  1. STAT6038 Regression Modelling
  2. STAT6039 Principles of Mathematical Statistics
  3. EMET8005 Economic Models and Introductory Econometrics
  4. COMP6730 Programming for Scientists

Year 1, Semester 2: 24 units

  1. STAT7030 Generalised Linear Models
  2. STAT7026 Graphical Data Analysis
  3. STAT7001 Applied Statistics
  4. STAT7004 Introduction to Stochastic Processes

 Year 2, Semester 1: 24 units

  1. STAT7040 Statistical Learning
  2. STAT8027 Statistical Inference

and two courses from

Year 2, Semester 2: 24 units

Four courses from

#To take STAT7006 you will need to have previously taken STAT7018.

* CBEA6070 is counted toward the program as an elective course.

Commencing in Semester 2 (Pre 2020)

Year 1, Semester 2: 24 units

  1. STAT6038 Regression Modelling  
  2. STAT6039 Principles of Mathematical Statistics
  3. STAT7001 Applied Statistics
  4. STAT7026 Graphical Data Analysis

Year 1, Semester 1: 24 Units

  1. STAT7040 Statistical Learning
  2. STAT8027 Statistical Inference

and two courses from

  • EMET8005 Economic Models and Introductory Econometrics
  • COMP6730 Programming for Scientists

Year 2, Semester 2: 24 units

  1. STAT7030 Generalised Linear Models
  2. STAT7004 Introduction to Stochastic Processes

and two courses from

  • STAT7016 Introduction to Bayesian Data Analysis
  • STAT7017 Big Data Statistics
  • STAT8036 Credibility Theory
  • STAT8056 Advanced Mathematical Statistics
  • EMET8005 Economic Models and Introductory Econometrics
  • COMP6730 Programming for Scientists

Year 2, Semester 1: 24 units

Four courses from

* CBEA6070 is counted toward the program as an elective course.

**Any student with a packaged offer due to insufficient mathematics should enrol the following courses in Semester 2 under Graduate Certificate of Finance and Actuarial Statistics:

  1. MATH1113 Mathematical Foundations for Actuarial Studies
  2. STAT7001 Applied Statistics
  3. STAT7026 Graphical Data Analysis
  4. STAT6038 Regression Modelling