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
- Semester 1 - 2018
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.
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).
Online 10 hour(s) per Week for Full Term