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Distance Learning




This is a resources site for prospective students and employers interested in providing additional training opportunities for their staff.

As a consortium, the BCA works a little differently to enrolment at a single university.
Before consulting the documents and links listed below, we recommend that you look at these brief summaries of how the BCA works.


Semester 1, 2018
26 February
census date:
31 March

Semester 2, 2018
30 July (regardless of start date at home univerisity)
census date: 31 August


BCA Program Outline

BCA Curriculum

Textbook & Software Guide

BCA Student Testimonials

A note about the mathematical foundation of the BCA program

Fee Help

Study by distance education

Statistical software short courses

BCA community page

BCA Program Outline

Contains current information about all 3 levels of the program  - (Post)Graduate Certificate, (Post)Graduate Diploma, and Masters Degree.
Details include entry requirements and unit of study outlines. See the table on page 5 for semester availability and prerequisites for units of study, and page 6 for examples of how you might structure your studies. More information:

Download BCA Program Outline PDF 2019

BCA curriculum

Download the Curriculum Guide PDF 2019

Quick reference table showing compulsory units of study for each course, semester availability and prerequisite requirements for each unit

Textbook & Software Guide for Students

Details of all compulsory textbooks and statistical software, including purchasing details.

Download Textbook & Software Guide 2019

BCA Student Testimonials

View testimonials of current and graduate BCA students

A note about the mathematical foundation of the BCA program

A fundamental principle underlying the BCA program is that a thorough knowledge of biostatistical concepts and methods requires a sound mathematical understanding. To practise effectively as a biostatistician you must be able to read, interpret, evaluate and potentially implement published papers that propose new methods and software for statistical design and analysis.  The language of these methods is mathematics.

As outlined in the entry requirements, the completion of courses in mathematics at university level is not required but applicants must have a proven aptitude for advanced mathematical work, indicated for example by a high level of achievement in high school or undergraduate mathematics. We appreciate that many people working in various health and medical related fields may not have specialised mathematical training; therefore the BCA program provides instruction not only in the application of biostatistical methods but also in their underlying mathematical foundations.

For this reason, the program includes three mathematically based foundation units (subjects, courses).

  1. Mathematical Background for Biostatistics (MBB) which covers multivariable calculus and matrix algebra.
  2. Probability and Distribution Theory (PDT) provides the essentials of probability theory, random variables and the manipulation of probability distribution functions.
  3. Principles of Statistical Inference (PSI) which gives a thorough grounding in the core concepts of statistical inference including likelihood theory and parameter estimation.

If you have not completed courses in mathematics at university level you may find these foundation subjects challenging, however, once accomplished, you will have the tools to tackle the statistical concepts in subsequent units with confidence.

Fee Help

Information for prospective students, about the Postgraduate Education Loans Scheme
More information:

Information about FEE HELP

BCA Community page

Links to statistical community mail group (ANZSTAT), job announcement log, scholarship opportunities, professional development opportunities, ...

BCA Community page

External Statistical Software Short Courses

Information for short courses in SAS and Stata. More information:

Information about short courses for SAS and Stata



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