Available in 2018

Course handbook


Students will gain experience as an applied medical statistician working with a team of clinicians and/or researchers. They will apply the knowledge and skills gained during their masters coursework to a real life research project.

Availability2018 Course Timetables

WebLearn GradSchool

  • Semester 1 - 2018

Learning outcomes

On successful completion of the course students will be able to:

1. Have a greater ability to understand and solve real-world medical statistics problems;

2. Be able to participate in a research team as a medical statistician;

3. Produce a publication-ready draft manuscript, thus increasing their written communication skills and employment prospects.


Students will learn to apply statistical methods by undertaking a research project in a topic of their choice. Students will be supervised by one or more health researchers, and have access to advice from a statistician. Students will generate a report in the form of a journal article for assessment. Many student projects will culminate in a published research manuscript that can be included in their CV.




Assumed knowledge

Students need to have completed a minimum of 30 units, including Computational Statistics/Data Management (BIOS6010), Foundations of Probability Theory (BIOS6170) and Linear Regression Modeling (BIOS6070).

Assessment items

Project: Projects

Contact hours

WebLearn GradSchool

Online Activity

Online 10 hour(s) per Week for Full Term