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 |