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Master of Biostatistics (991AA) // Course structure
About this course
Contact
Melbourne School of Population and Global Health
OR
Currently enrolled students:
- General information: https://ask.unimelb.edu.au
- Email: Contact Stop 1
Future Students:
- Further Information: MSPGH Website
- Email: Enquiry Form
Coordinator
A/Professor Julie Simpson
Course structure
Students must choose between Option One or Option Two:
Option One:
SIX core subjects, FOUR elective subjects, the Capstone Selective subject POPH90122 Survival Analysis and a 12.5 point Research Project
Option Two:
SIX core subjects, FOUR electives subjects and a 25 point Research Project
Subject options
Core Subjects
Students must complete the following core subjects:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| POPH90014 | Epidemiology 1 | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90101 | Introduction to Statistical Computing | Semester 1 (On Campus - Parkville) |
12.5 |
| MAST90102 | Linear Regression | Semester 2 (On Campus - Parkville) |
12.5 |
| POPH90148 | Probability and Distribution Theory |
Semester 1 (Online)
Semester 2 (Online)
|
12.5 |
| MAST90100 | Inference Methods in Biostatistics | March (On Campus - Parkville) |
12.5 |
| MAST90099 | Categorical Data: Models and Methods | Semester 2 (On Campus - Parkville) |
12.5 |
Electives
Students must select FOUR electives from the following list:
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| POPH90118 | Clinical Biostatistics | Semester 1 (Online) |
12.5 |
| POPH90117 | Health Indicators and Health Surveys | Semester 1 (Online) |
12.5 |
| POPH90123 | Longitudinal and Correlated Data | Semester 1 (Online) |
12.5 |
| POPH90122 | Survival Analysis | Semester 1 (Online) |
12.5 |
| ISYS90069 | eHealth & Biomedical Informatics Systems | Semester 1 (On Campus - Parkville) |
12.5 |
| POPH90124 | Bioinformatics | Not available in 2018 | 12.5 |
| MAST90083 | Computational Statistics and Data Mining | Semester 2 (On Campus - Parkville) |
12.5 |
| POPH90119 | Design of Randomised Controlled Trials | Semester 2 (Online) |
12.5 |
| POPH90271 | Infectious Diseases Modelling | Semester 2 (On Campus - Parkville) |
12.5 |
| MAST90027 | The Practice of Statistics | Semester 2 (On Campus - Parkville) |
12.5 |
| POPH90242 | Epidemiology 2 | August (On Campus - Parkville) |
12.5 |
| INFO90002 | Database Systems & Information Modelling |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| COMP90041 | Programming and Software Development |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| POPH90139 | Bayesian Statistical Methods | Semester 2 (Online) |
12.5 |
Capstone
There are 2 capstone options to choose from. The capstone experience should be undertaken in the final year or final semester of the Master of Biostatistics.
OPTION ONE:
Students may take a 25 point Research Project. Students have the option of enrolling in a year-long project or a semester-long project. Students enrolling in the year-long project (POPH90288 & POPH90289) MUST complete the project in two semesters consecutively in the correct sequence i.e. Part 1 followed by Part 2).
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| POPH90288 | Biostatistics Research Project Part 1 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| POPH90289 | Biostatistics Research Project Part 2 |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| POPH90151 | Biostatistics Research Project - D |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
25 |
OPTION TWO:
Students who choose this option must enrol in the following Research Project plus the capstone selective subject POPH90122 Survival Analysis
| Code | Name | Study period | Credit Points |
|---|---|---|---|
| POPH90149 | Biostatistics Research Project - S |
Semester 1 (On Campus - Parkville)
Semester 2 (On Campus - Parkville)
|
12.5 |
| POPH90122 | Survival Analysis | Semester 1 (Online) |
12.5 |
Last updated: 18 December 2020