M6025 Master of Biostatistics
Faculty of Medicine, Nursing and Health Sciences
Master of Biostatistics (M6025) is a 1.5 years full-time, 72-credit-point, master's degree (coursework) course from the Faculty of Medicine, Nursing and Health Sciences, taught at Alfred Hospital. Map your units semester by semester with the MonMap planner.
- Credit points
- 72
- Duration
- 1.5 years full time
- 3 years part time
- Campus
- Alfred Hospital
- Online
This is the 2025 handbook entry. See the 2027 entry.
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Requisite map
Overview
This course, offered by the School of Public Health and Preventive Medicine, will provide you with a sound foundation in the theory and application of biostatistics relevant to professional practice. The degree will provide you with necessary skills in complex statistical analyses, the identification and implementation of appropriate statistical methodology, the communication of biostatistical results, and the understanding of biostatistical literature. You will develop the technical skills for commencement in a professional career as a biostatistician.
Units in this degree are offered in conjunction with partner universities in the Biostatistics Collaboration of Australia (BCA), a consortium of leading universities in Australia established to jointly develop and deliver a distance- based program in biostatistics.
Course structure
Part A. Core biostatistics studies48 credit points
Note: If you are eligible for credit for a core unit from prior studies you may elect not to receive the credit and complete an alternative elective unit in its place. This practice is encouraged to enable a broader learning experience for such students.
- EPM5003Principles of statistical inferenceNo reviews yet6 cp
- EPM5005Data management and statistical computingNo reviews yet6 cp
- EPM5026Mathematical foundations for biostatisticsNo reviews yet6 cp
- EPM5027Regression modelling for biostatistics 1No reviews yet6 cp
- EPM5028Regression modelling for biostatistics IINo reviews yet6 cp
- MPH5040Introductory epidemiologyNo reviews yet6 cp
Elective list a.
Elective list b.
Master of Data Science (C6004)
Master of Public Health (M6024)
Master of Clinical Research (M6028)
Master of Business Analytics (B6022)
Part B. Advanced practice studies24 credit points
Elective list c.
Note: EPM5012 is offered every second year.
- EPM5001Health indicators and health surveysNo reviews yet6 cp
- EPM5006Clinical biostatisticsNo reviews yet6 cp
- EPM5007Design of randomised controlled trialsNo reviews yet6 cp
- EPM5008Longitudinal and correlated data analysisNo reviews yet6 cp
- EPM5012Statistical genomicsNo reviews yet6 cp
- EPM5013Bayesian statistical methodsNo reviews yet6 cp
- EPM5017Machine learning for biostatisticsNo reviews yet6 cp
- EPM5018Causal inferenceNo reviews yet6 cp
Elective list d.
Master of Data Science (C6004)
Master of Public Health (M6024)
Master of Clinical Research (M6028)
Master of Business Analytics (B6022)
The handbook's description of this structure
The course is structured in two parts: Part A. Core Biostatistics studies and Part B. Advanced practice studies.
Part A. Core biostatistics studies
These studies will provide you with the core epidemiological, mathematical and statistical foundations required for biostatistical practice and study of advanced biostatistical methods. The six Part A core units provide theoretical and practical experience in calculus, probability distributions, computing, statistical inference and regression modelling. You will choose two electives, of which at least one must be from designated biostatistics electives.
Part B. Advanced practice studies
These studies involve a capstone biostatistics practical project plus three elective units. The capstone biostatistics practical project unit extends your knowledge and skills developed in Part A units into a specific practical research problem guided by a professional biostatistician, enabling a rich work experience opportunity.
Course progression map
The course progression map provides guidance on unit enrolment for each semester of study.
The course comprises 72 points structured into two parts: Part A. Core biostatistics studies (48 points) and Part B. Advanced practice studies (24 points).
Note: If you are eligible for credit for a core unit from prior studies you may elect not to receive the credit and complete an alternative elective unit in its place. This practice is encouraged to enable a broader learning experience for such students.
Units are 6 points unless otherwise stated.
Part A. Core biostatistics studies (48 credit points)
- EPM5003 Principles of statistical inference
- EPM5005 Data management and statistical computing
- EPM5026 Mathematical Foundations of Biostatistics
- EPM5027 Regression Modelling for Biostatistics I
- EPM5028 Regression Modelling for Biostatistics II
- MPH5040 Introductory epidemiology
AND
You must complete two 6 credit point elective units at level 5, of which at least one must be from list a, and at most one unit from list b.
Elective list a. At least one 6cp unit must be from the list below:
- EPM5001 Health Indicators and health surveys
- EPM5006 Clinical Biostatistics
- EPM5007 Design of randomised controlled trials
- EPM5017 Machine learning for biostatistics
- EPM5018 Causal Inference
Elective list b. At most one 6cp unit (for which you meet the enrolment rules) may be from the course progression maps of the following courses:
- Master of Data Science (C6004) – excluding MAT9004, FIT5197, FIT5149, BMS5021
- Master of Public Health (M6024) – excluding MPH5041, MPH5200, MPH5270
- Master of Clinical Research (M6028) - excluding MPH5041, MPH5200, MPH5270
- Master of Business Analytics (B6022) – excluding ETC5510, ETC5242, ETC5521, ETC5250
Part B. Advanced practice studies (24 points)
You must complete the following unit:
- EPM5015 Biostatistics Practical Project: single unit (6cp)
AND
You must complete three 6 credit point elective units at Level 5, of which at least two must be from list c, and at most one unit from list d.
Elective list c. At least two 6cp units must be from the list below:
- EPM5001 Health Indicators and health surveys
- EPM5006 Clinical Biostatistics
- EPM5007 Design of randomised controlled trials
- EPM5008 Longitudinal and correlated data analysis
- EPM5012 Statistical genomics*
- EPM5013 Bayesian statistical methods
- EPM5017 Machine learning for biostatistics
- EPM5018 Causal Inference
Note: EPM5012 is offered every second year.
Elective list d. At most one 6cp unit (for which you meet the enrolment rules) may be from the course progression maps of the following courses:
- Master of Data Science (C6004) – excluding MAT9004, FIT5197, FIT5149, BMS5021
- Master of Public Health (M6024) – excluding MPH5041, MPH5200, MPH5270
- Master of Clinical Research (M6028) - excluding MPH5041, MPH5200, MPH5270
- Master of Business Analytics (B6022) – excluding ETC5510, ETC5242, ETC5521, ETC5250
Learning outcomes
These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.
Upon successful completion of this course it is expected that you will be able to:
- 1
integrate a sound understanding of epidemiological study design principles with the theory and application of the major areas of biostatistics relevant to professional practice
- 2
synthesise biostatistical knowledge with critical analysis and expert judgment to autonomously propose and implement an appropriate statistical design and/or analysis methodology for addressing practical problems in clinical/health research
- 3
combine statistical theory with ethical considerations to devise strategies for collection and management of complex data, and for application of quality control procedures
- 4
consolidate knowledge, current research and computing skills to perform complex analyses for a variety of practical problems using modern statistical techniques and software
- 5
effectively communicate theoretical and practical biostatistical issues with clinical/health personnel and present statistical results in a format suitable for publication in health-related journals or professional reports
- 6
critically reflect on and evaluate methodological research papers in the biostatistical literature and apply the methods described therein to practical problems
- 7
integrate biostatistical knowledge, expert judgement and autonomy to display an array of problem-solving skills in biostatistics, characterised by an adaptability of approach
- 8
apply professional codes of conduct and ethical standards such as those of the Statistical Society of Australia
- 9
synthesise knowledge, technical skills and implementation of best-practice methods to commence professional careers as biostatisticians and/or to progress to further postgraduate research studies.
Entry requirements
English language
Monash Level A, that is: IELTS (Academic): 6.5 overall (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 overall with no band lower than 50; or TOEFL Internet-based test: score of 79 overall with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English test
More information
Progression to further studies
Successful completion of this course may provide a pathway to a graduate research degree.
Professional accreditation
If you are graduating with this master's degree you obtain automatic accreditation status as Graduate Statistician (GStat) upon application to the Statistical Society of Australia.
Other information
This course, offered by the School of Public Health and Preventive Medicine, will provide you with a sound foundation in the theory and application of biostatistics relevant to professional practice. The degree will provide you with necessary skills in complex statistical analyses, the identification and implementation of appropriate statistical methodology, the communication of biostatistical results, and the understanding of biostatistical literature. You will develop the technical skills for commencement in a professional career as a biostatistician.
Units in this degree are offered in conjunction with partner universities in the Biostatistics Collaboration of Australia (BCA), a consortium of leading universities in Australia established to jointly develop and deliver a distance- based program in biostatistics.
Common questions
How long is Master of Biostatistics?
1.5 years full time, 72 credit points. At 24 credit points a semester, that is 3 semesters of full-time study.
Where can I study Master of Biostatistics?
At Alfred Hospital.
How do I plan my Master of Biostatistics units?
Open the course in the MonMap planner. It lays out your semesters, checks prerequisites as you drag units in, and tracks the credit points each requirement still needs.