Bach of Advanced Sci (Hons) specialisation in Statistics

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We live in an information age. Computers allow us to collect and store information in quantities that previously would not even have been dreamt of. However, raw, undigested data stored on computers is useless until people can start to make sense of it.
Statistics is the human side of the computer revolution, an information science, the art and science of extracting meaning from seemingly incomprehensible data. Statistics applies to almost any field; this is why some training in statistics can help make you more effective and more employable, regardless of the career direction you choose.
Investigation: asking questions, designing ways to collect data to answer those questions, collecting data, making sense of what the data say to produce sensible answers – this is the subject matter of statistics and a set of general life skills.
The Department of Statistics is the birthplace of the R Project. Founded in 1996 by Associate Professors Robert Gentleman and Ross Ihaka, R is a free programming language and environment for statistical computing and graphics. It is taught around the world and is used by Ivy League universities, Google, Uber, and many more. Learn more about the R Project.

You can study Statistics as a postgraduate specialisation in either Faculty of Science or Faculty of Arts programmes.
Statistics applies to almost any field, ranging from scientific research to business management and media analysis. From designing an experiment to evaluate a new medical treatment to analysing data gathered by an ecologist, the diversity of applications is immense.

There are different options to consider when choosing your postgraduate qualification in Statistics. While the taught masters is a programme with a professional focus and essential to work as a professional statistician, the research masters is an advanced programme to develop your research skills with the intention to progress to doctoral study in Statistics.
Areas of research interests open to exploration include:
- Analysis of survey data
- Astrostatistics
- Bayesian statistics
- Biostatistics and novel regression methodologies
- Case control sampling and extension
- Experimental design and quality improvement
- Forensic statistics
- Human genomics and bioinformatics
- Linear and non-linear statistical modelling
- Medical statistics
- Sample survey theory
- Statistical computing
- Statistical computing and the “R” statistical programming language
- Statistical ecology and bioinformatics
- Statistical genetics
- Statistics education
- Operations research and stochastic processes
- Non-parametric statistics

Statistics is the ideal partner course for people who want to enhance their quantitative capabilities while pursuing their career choice subject. Some training in statistics can help make you more effective in almost any career.

Complete 285 points comprising:

15 points from Stage I Elective Courses, and
45 points for all Stage I Compulsory Courses, and
15 points from Stage II Elective Courses, and
30 points for all Stage II Compulsory Courses, and
30 points for all Stage III Compulsory Courses, and
30 points from Stage III Elective Courses, and
15 points from Group 1 Level 700 Elective Courses, and
75 points from Group 2 Level 700 Elective Courses, and
Either:
30 points for all Research Project - 1 Semester, or
30 points for all Research Project - 2 Semesters

Stage I Elective Courses

Complete exactly 15 points from the following:

STATS 101 - Introduction to Statistics (15 points)

STATS 108 - Statistics for Commerce (15 points)

Stage I Compulsory Courses

Complete 45 points for ALL of the following:

MATHS 120 - Algebra (15 points)

MATHS 130 - Calculus (15 points)

STATS 125 - Probability and its Applications (15 points)

Stage II Elective Courses

Complete exactly 15 points from the following:

STATS 201 - Data Analysis (15 points)

STATS 208 - Data Analysis for Commerce (15 points)

Stage II Compulsory Courses

Complete 30 points for ALL of the following:

MATHS 250 - Algebra and Calculus 2 (15 points)

STATS 225 - Probability: Theory and Applications (15 points)

Stage III Compulsory Courses

Complete 30 points for ALL of the following:

STATS 310 - Introduction to Statistical Inference (15 points)

STATS 325 - Stochastic Processes (15 points)

Stage III Elective Courses

Complete exactly 30 points from the following:

ENGSCI 391 - Optimisation in Operations Research (15 points)

STATS 302 - Applied Multivariate Analysis (15 points)

STATS 320 - Applied Stochastic Modelling (15 points)

STATS 326 - Applied Time Series Analysis (15 points)

STATS 330 - Statistical Modelling (15 points)

STATS 331 - Introduction to Bayesian Statistics (15 points)

STATS 369 - Data Science Practice (15 points)

STATS 370 - Financial Mathematics (15 points)

STATS 380 - Statistical Computing (15 points)

STATS 392 - Directed Study (15 points)

Group 1 Level 700 Elective Courses

Complete exactly 15 points from the following:

STATS 779 - Professional Skills for Statisticians (15 points)

STATS 782 - Statistical Computing (15 points)

Group 2 Level 700 Elective Courses

Complete exactly 75 points from the following:

STATS 701 - Advanced SAS Programming (15 points)

STATS 702 - Special Topic in Statistics 2 (15 points)

STATS 703 - Special Topic in Statistics 1 (15 points)

STATS 705 - Topics in Official Statistics (15 points)

STATS 708 - Topics in Statistical Education (15 points)

STATS 709 - Predictive Modelling (30 points)

STATS 710 - Probability Theory (15 points)

STATS 720 - Stochastic Processes (15 points)

STATS 722 - Foundations of Financial Mathematics (15 points)

STATS 723 - Stochastic Methods: Theory and Applications (15 points)

STATS 725 - Special Topic (15 points)

STATS 726 - Time Series (15 points)

STATS 727 - Foundations of Applied Time Series Analysis (15 points)

STATS 730 - Statistical Inference (15 points)

STATS 731 - Bayesian Inference (15 points)

STATS 740 - Sample Surveys (15 points)

STATS 741 - Sample Surveys and Experimental Design (15 points)

STATS 747 - Statistical Methods in Marketing (15 points)

STATS 750 - Experimental Design (15 points)

STATS 761 - Mixed Models (15 points)

STATS 762 - Regression for Data Science (15 points)

STATS 763 - Advanced Regression Methodology (15 points)

STATS 765 - Statistical Learning for Data Science (15 points)

STATS 766 - Multivariate Analysis (15 points)

STATS 767 - Foundations of Applied Multivariate Analysis (15 points)

STATS 768 - Longitudinal Data Analysis (15 points)

STATS 769 - Advanced Data Science Practice (15 points)

STATS 770 - Introduction to Medical Statistics (15 points)

STATS 771 - Special Topic (15 points)

STATS 773 - Design and Analysis of Clinical Trials (15 points)

STATS 776 - Estimating Animal Abundance (15 points)

STATS 779 - Professional Skills for Statisticians (15 points)

STATS 780 - Statistical Consulting (15 points)

STATS 781 - Research Project (30 points)

STATS 781A - Research Project (15 points)

STATS 781B - Research Project (15 points)

STATS 782 - Statistical Computing (15 points)

STATS 783 - Simulation and Monte Carlo Methods (15 points)

STATS 784 - Statistical Data Mining (15 points)

STATS 785 - Foundations of Statistical Data Management (15 points)

STATS 786 - Time Series Forecasting for Data Science (15 points)

STATS 787 - Data Visualisation (15 points)

Up to 30 points may be substituted from other approved 700 level courses.

Research Project - 1 Semester

Complete 30 points for ALL of the following:

STATS 781 - Research Project (30 points)

Research Project - 2 Semesters

Complete 30 points for ALL of the following:

STATS 781A - Research Project (15 points)

STATS 781B - Research Project (15 points)