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Biostatistics

Unit of study table

Master of Biostatistics

Students must complete 72 credit points, including:
(a) 6 credit points from Epidemiology units of study; and
(b) 30 credits points from Biostatistics Part 1 units of study; and
(c) a minimum of 18 credit points from Biostatistics Part 2 units of study; and
(d) a maximum of 12 credit points from General Elective units of study; and
(e) a minimum of 6 credit points of Capstone units of study.

Graduate Diploma in Biostatistics

Students must complete 48 credit points, including:
(a) 6 credit points from Epidemiology units of study; and
(b) 30 credit points from Biostatistics Part 1 units of study; and
(c) a minimum of 6 credit points from Biostatistics Part 2 units of study; and
(d) a maximum of 6 credit points from General Elective units of study.

Graduate Certificate in Biostatistics

Students must complete 24 credit points, including:
(a) 6 credit points from Epidemiology units of study; and
(b) 18 credit points from Biostatistics Part 1 or Biostatistics Part 2 units of study.

 

Unit of study Credit points A: Assumed knowledge P: Prerequisites
C: Corequisites N: Prohibition

Epidemiology

All students must complete 6 credit points from Epidemiology.
BSTA5011
Epidemiology for Biostatisticians (EPI)
6 N PUBH5010 or CEPI5100
CEPI5100
Introduction to Clinical Epidemiology
6  
PUBH5010
Epidemiology Methods and Uses
6 N BSTA5011

Biostatistics Part 1

Graduate Diploma and Master students must complete 30 credit points from Biostatistics Part 1.
BSTA5002
Principles of Statistical Inference (PSI)
6 P BSTA5100 or (BSTA5001 and BSTA5023)
BSTA5004
Data Management and Stats Computing (DMC)
6
BSTA5008
Categorical Data and Generalised Linear Model
6 P BSTA5007
N BSTA5210 or BSTA5211
BSTA5009
Survival Analysis
6 P BSTA5008
N BSTA5211
BSTA5023
Probability and Distribution Theory
6 P BSTA5001
N BSTA5100
BSTA5100
Mathematics Foundations of Biostatistics (MFB)
6 N BSTA5023
BSTA5210
Regression Modelling for Biostatistics 1 (RM1)
6 P (BSTA5011 or PUBH5010 or CEPI5100)
C BSTA5002
N BSTA5007 or BSTA5008
BSTA5211
Regression Modelling for Biostatistics 2 (RM2)
6 P (BSTA5210 or BSTA5007)
N BSTA5008 and BSTA5009

Biostatistics Part 2

Graduate Diploma students must complete a minimum of 6 credit points from Biostatistics Part 2. Masters students must complete a minimum of 18 credit points from Biostatistics Part 2.
 
BSTA5003
Health Indicators and Health Surveys (HIS)
6 C BSTA5100 or BSTA5001
BSTA5005
Clinical Biostatistics (CLB)
6 P (PUBH5010 or BSTA5011 or CEPI5100 ) and BSTA5002
C BSTA5210 or BSTA5007
BSTA5006
Design of Randomised Controlled Trials (DES)
6 P (PUBH5010 or BSTA5011 or CEPI5100) and (BSTA5100 or BSTA5023)
BSTA5012
Longitudinal and Correlated Data (LCD)
6 P BSTA5210 or BSTA5211 or (BSTA5007 and BSTA5008)
BSTA5013
Statistical Genomics (SGX)
6 P BSTA5004 and (BSTA5210 or BSTA5211 or BSTA5007)
BSTA5014
Bayesian Statistical Methods (BAY)
6 P BSTA5210 or BSTA5211 or (BSTA5007 and BSTA5008)
BSTA5017
Causal Inference (CSI)
6 P BSTA5210 or BSTA5211 or (BSTA5007 and BSTA5008)
BSTA5018
Machine Learning for Biostatistics (MLB)
6 P (PUBH5010 or BSTA5011 or CEPI5100) and (BSTA5007 or BSTA5210 or BSTA5211 or PUBH5217)
PUBH5215
Analysis of Linked Health Data
6 A The unit assumes introductory-level programming skills in SAS or R, assumes introductory-level knowledge in epidemiology, e.g., PUBH5010 or CEPI5100, and introductory-level knowledge in biostatistics or statistics, e.g., PUBH5018 or FMHU5002.
C (PUBH5010 or BSTA5011 or CEPI5100) and (PUBH5211 or PUBH5217 or BSTA5004)

General Electives

Graduate Diploma students can complete a maximum of 6 credit points from General Electives. Master students can complete a maximum of 12 credit points from General Electives.

Students are encouraged to contact the Program Coordinator prior to enrolling into these units.

Analytic Methods
CEPI5105
Advanced Epidemiology
6 P (CEPI5100 or PUBH5010) and (FMHU5002 or PUBH5018 or BSTA5002)
C PUBH5217 or BSTA5210
CEPI5215
Writing and Reviewing Medical Papers
6 A Some basic knowledge of summary statistic is assumed
P (PUBH5010 or CEPI5100 or BSTA5011)
N CEPI5214
HPOL5000
Health Policy and Health Economics
6 N PUBH5032
PUBH5125
Environmental Epidemiology
6 P PUBH5010 or CEPI5100 or BSTA5011
PUBH5224
Applied Epidemiology
6 P (PUBH5010 or CEPI5100 or BSTA5011) and (PUBH5018 or FMHU5002 or BSTA5002)
PUBH5300
Infectious Disease Epidemiology
6 A A basic understanding of introductory statistics and generalised linear regression (as would be attained through a unit such as PUBH5217 or equivalent, or through equivalent experience). No previous coding experience is required or assumed
PUBH5312
Health Economic Evaluation
6 P HPOL5000 or FMHU5001 or BSTA5002
N PUBH5302
FMHU5003
Introduction to Qualitative Research in Health
6 N PUBH5505 or BACH5255 or QUAL5005
FMHU5004
Qualitative Analysis and Writing in Health
6 A Students should have an understanding of qualitative research as this unit does not cover research design or data collection. Students looking for an introductory level unit should take FMHU5003 Introduction to Qualitative Research in Health.
P FMHU5003 or PUBH5505 or QUAL5005 or QUAL5006 or GLOH5201
N PUBH5506
PUBH5317
Advanced Economic and Decision Analysis
6 P (PUBH5010 or CEPI5100 or BSTA5011) and (PUBH5018 or FMHU5002 or BSTA5002)
C PUBH5312
N PUBH5205 or PUBH5307
Data Science
COMP5048
Visual Analytics
6

A Experience with data structures and algorithms as covered in COMP9103 OR COMP9003 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions)
N COMP4448 OR OCMP5048

COMP5310
Principles of Data Science
6 A Good understanding of relational data model and database technologies as covered in ISYS2120 or COMP9120 (or equivalent UoS from different institutions)
N INFO3406 OR OCMP5310
COMP5329
Deep Learning
6

A COMP4318 OR COMP5318
N COMP4329 OR OCMP5329

COMP5338
Advanced Data Models
6

A This unit of study assumes foundational knowledge of relational database systems as taught in COMP5138/COMP9120 (Database Management Systems) or INFO2120/INFO2820/ISYS2120 (Database Systems 1)
N COMP4338 OR OCMP5338

COMP9120
Database Management Systems
6 A Some exposure to programming and some familiarity with data model concepts
N INFO2120 OR INFO2820 OR INFO2005 OR INFO2905 OR COMP5138 OR ISYS2120. Students who have previously studied an introductory database subject as part of their undergraduate degree should not enrol in this foundational unit, as it covers the same foundational content
HTIN5005
Applied Healthcare Data Science
6 N HTIN4005
Ethics
BETH5202
Research Ethics
6 A A three-year undergraduate degree in science, medicine, nursing, allied health sciences, philosophy/ethics, sociology/anthropology, law, history, or other relevant field, or by special permission
N BETH5208
BETH5203
Public Health Ethics
6 N BETH5206
BETH5204
Clinical Ethics
6
BETH5208
Introduction to Human Research Ethics
2 N BETH5202
BETH5209
Medicines Policy, Economics and Ethics
6 A A degree in science, medicine, pharmacy, nursing, allied health, philosophy/ethics, sociology/anthropology, history, law, communications, public policy, business, economics, commerce, organisation studies, or other relevant field, or by special permission

Capstone

Master students must complete a minimum of 6 credit points from Capstone.
BSTA5020
Biostatistics Research Project 1
6 P 48 credit points including BSTA5004 and (BSTA5008 or BSTA5009 or BSTA5210 or BSTA5211)
BSTA5021
Biostatistics Research Project 2
6 P 48 credit points including BSTA5004 and (BSTA5008 or BSTA5009 or BSTA5210 or BSTA5211)
C BSTA5020