Faculty of Health
Graduate Diploma in Medical Statistics (Distance Learning)
| Program Code | 10300 |
|---|---|
| Graduate Level | Postgraduate |
| Locations | |
| UAC Code | UAC Website |
| Contributing Schools and Faculties | Faculty of Health |
| Admission Instructions | How to apply as a: |
| Program Award Rules and Schedules | |
| Mode of delivery | Online via GraduateSchool.com |
| Further Information |
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Back to topDescription
Statistics is one of the essential requirements for high quality medical research, and is vital to public health research. This program is designed to provide in depth knowledge in the application of statistical methods to the analysis of health related data. Graduates will develop a strong capacity to work effectively as integral members of a collaborative team to investigate problems in health and medicine.
Back to topCareer Opportunities
Completions of these programs gives good access to employment as a Biostatistician, Faculty appointments at tertiary institutions, Research academic or research fellow in clinical or public health focused research institutions or statistical analysis and evaluation roles in government, private industry, or non-profit organizations.
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Back to topAdmission Requirements
Completion of a Bachelors degree in Mathematics or Statistics Science, Psychology, Medicine, Pharmacy, Nursing, Economics, Health Sciences or other appropriate discipline from an approved university (or equivalent qualification); a proven aptitude for advanced mathematical work, indicated for example by a high level of achievement in high school or undergraduate mathematics; already passed an introductory course in statistics, covering at least the estimation of means and proportions with confidence intervals, and the comparison of means and proportions between two groups using hypothesis tests (i.e. t-tests and chi-squared tests for 2x2 tables.
Back to topInternational Students
This program is available to offshore International students only.
Back to topSpecial Needs
Under Academic Senate resolution (01:335) (28 November 2001), the Faculty accepts that it is responsible for providing reasonable accommodations for students with special needs, in liaison with the Student Support Unit, which offers practical assistance and advice to students with a disability or chronic illness. The Faculty will seek advice from the Student Support Unit as to what constitutes "reasonable accommodations" under Anti-Discrimination legislation.
Back to topAdditional Information
The programs aim to provide graduates with the skills to use statistical methods to investigate problems in health and medicine. Graduates will develop a strong capacity to work effectively as integral members of a collaborative team to investigate problems in health and medicine.
Back to topRequirements and Structure
The program requires the completion of 80 units of coursework.
Back to topCourse Information
| Back to topCore Courses | |||
|---|---|---|---|
| Complete the following core courses to fulfil the requirements of this program. | |||
| BIOS6010 | Data Management and Statistical Computing | Semester 1 (DIST_CAL) Semester 2 (DIST_CAL) | 10 units |
| BIOS6020 | Categorical Data and Generalised Linear Models | Semester 2 (DIST_CAL) | 10 units |
| BIOS6040 | Mathematical Background for Biostatistics | Semester 1 (DIST_CAL) Semester 2 (DIST_CAL) | 10 units |
| BIOS6050 | Principles of Statistical Inference | Semester 1 (DIST_CAL) Semester 2 (DIST_CAL) | 10 units |
| BIOS6060 | Design of Experiments & Randomised Clinical Trials | Semester 2 (DIST_CAL) | 10 units |
| BIOS6070 | Linear Models | Semester 2 (DIST_CAL) | 10 units |
| BIOS6170 | Probability and Distribution Theory | Semester 1 (DIST_CAL) Semester 2 (DIST_CAL) | 10 units |
| EPID6420 | Epidemiology A - Basic Methods | Semester 1 (City Precinct) Semester 1 (GradSchool) | 10 units |