Biostatistics

Please check the current students website (Find a unit of study) for up-to-date information on units of study including availability.

 
Unit outlines will be available through Find a unit outline two weeks before the first day of teaching for 1000-level and 5000-level units, or one week before the first day of teaching for all other units.
 

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

Biostatistics

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) minimum of 24 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.

Epidemiology

All students must complete 6 credit points from Epidemiology.
BSTA5011
Epidemiology for Biostatisticians
6    N PUBH5010

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
CEPI5100
Introduction to Clinical Epidemiology
6   

Refer to the unit of study outline https://www.sydney.edu.au/units
Intensive February
Intensive July
Semester 1
Semester 2
PUBH5010
Epidemiology Methods and Uses
6    N BSTA5011


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1

Biostatistics Part 1

Graduate Diploma students must complete a minimum of 24 credit points from Biostatistics Part 1. Master students must complete 30 credit points from Biostatistics Part 1.
BSTA5002
Principles of Statistical Inference
6    P BSTA5100 or (BSTA5001 and BSTA5023)


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
BSTA5004
Data Management and Statistical Computing
6   

Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
BSTA5008
Categorical Data and Generalised Linear Model
6    P BSTA5007
N BSTA5210 or BSTA5211

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
BSTA5009
Survival Analysis
6    P BSTA5008
N BSTA5211

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
BSTA5023
Probability and Distribution Theory
6    P BSTA5001
N BSTA5100

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
BSTA5100
Mathematical Foundations for Biostatistics
6    N BSTA5001 or BSTA5023


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
BSTA5210
Regression Models for Biostatistics 1 (RM1)
6    P (BSTA5100 or (BSTA5001 and BSTA5023)) and (BSTA5011 or PUBH5010 or CEPI5100)
C BSTA5002
N BSTA5007 or BSTA5008


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
BSTA5211
Regression Models for Biostatistics 2 (RM2)
6    A Students are assumed to have a basic knowledge of logistic regression
P (BSTA5210 or BSTA5007) and BSTA5002
N BSTA5008 or BSTA5009


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2

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.
BSTA5013 is only available in odd years and BSTA5014 is only available in even years.
BSTA5003
Health Indicators and Health Surveys
6    C BSTA5100 or BSTA5001


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
BSTA5005
Clinical Biostatistics
6    P (PUBH5010 or BSTA5011 or CEPI5100 ) and BSTA5002
C BSTA5006 and (BSTA5210 or BSTA5007)


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
BSTA5006
Design of Randomised Controlled Trials
6    P (PUBH5010 or BSTA5011 or CEPI5100) and (BSTA5100 or (BSTA5001 and BSTA5023))


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
BSTA5012
Longitudinal and Correlated Data
6    P (PUBH5010 or BSTA5011 or CEPI5100) and BSTA5002 and (BSTA5210 or (BSTA5007 and BSTA5008))


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
BSTA5013
Statistical Genomics

This unit of study is not available in 2022

6    P BSTA5001 and BSTA5002 and BSTA5004 and BSTA5007 and BSTA5023


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
BSTA5014
Bayesian Statistical Methods
6    P (PUBH5010 or BSTA5011 or CEPI5100) and BSTA5002 and (BSTA5210 or (BSTA5007 and BSTA5008))


Note: this unit is only offered in even numbered years. It is available in 2020.
Semester 2
BSTA5017
Causal Inference
6    P (PUBH5010 or BSTA5011 or CEPI5100) and (BSTA5210 or BSTA5007)


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
BSTA5018
Machine Learning in Biostatistics
6    P BSTA5007 or BSTA5210 or PUBH5217


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
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
C (PUBH5010 or BSTA5011 or CEPI5100) and (PUBH5211 or PUBH5217 or BSTA5004)

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Intensive June
Intensive November

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.

Analytic Methods

CEPI5215
Writing and Reviewing Medical Papers
6    A Some basic knowledge of summary statistic is assumed
P (PUBH5010 or CEPI5100 or BSTA5011)
N CEPI5214


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
HPOL5000
Health Policy and Health Economics
6    N PUBH5032


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
PUBH5125
Environmental Epidemiology
6    P (PUBH5018 or FMHU5002) or BSTA5002


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 1
PUBH5224
Advanced Epidemiology
6    P (PUBH5010 or CEPI5100 or BSTA5011) and (PUBH5018 or FMHU5002 or BSTA5002)


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
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


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
PUBH5312
Health Economic Evaluation
6    P HPOL5000 and (PUBH5010 or CEPI5100 or BSTA5011) and (PUBH5018 or FMHU5002 or BSTA5002)
N PUBH5302


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
PUBH5317
Advanced Economic and Decision Analysis

This unit of study is not available in 2022

6    P (PUBH5010 or CEPI5100) and PUBH5018
C PUBH5312
N PUBH5205 PUBH5307
Semester 2 Early
PUBH5505
Qualitative Research in Health

This unit of study is not available in 2022

6    N PUBH5500 or QUAL5005 or QUAL5006


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2

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)
Semester 1
Semester 2
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
Semester 1
Semester 2
COMP5329
Deep Learning
6    A COMP5318
Semester 1
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)
Semester 2
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
Semester 1
Semester 2
HTIN5005
Applied Healthcare Data Science
6      Semester 2

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


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
BETH5203
Public Health Ethics
6    N BETH5206


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
BETH5204
Clinical Ethics
6   

Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
BETH5208
Introduction to Human Research Ethics
2    N BETH5202


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 2
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


Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1

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)

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2
BSTA5021
Biostatistics Research Project 2
6    P 48 credit points including BSTA5004 and (BSTA5008 or BSTA5009 or BSTA5210)
C BSTA5020

Note: Department permission required for enrolment
Refer to the unit of study outline https://www.sydney.edu.au/units
Semester 1
Semester 2