M6049 Master of Bioinformatics

The course is structured into three parts: Part A. Foundation studies, Part B. Core studies and Part C. Application studies.

Part A. Foundation studies

Part A comprises foundation studies for students with different educational backgrounds to ensure all students have a solid foundational knowledge in order to complete the course. 

Part B. Core studies

In these studies, you will develop skills in core bioinformatics approaches and understand how genomics and other “omic” data can be used in research and clinical contexts.

Part C. Application studies

There are two streams in Part B, a research stream and a coursework stream. In the research stream you will further advance and broaden your understanding and capacity to conduct independent bioinformatic research where you will apply your bioinformatic skills to address important research problems. In the coursework stream you will receive further training in bioinformatics and project management.

Course progression map

The course progression map provides guidance on unit enrolment for each semester of study.

The course comprises 96 points structured in three parts: Part A. Foundation studies (12 points), Part B. Core studies (54 points), Part C. Application studies (30 points)

Units are 6 points unless otherwise stated.

Part A. Foundation studies (12 points)

Depending on your prior studies you may be required to complete up to 12 credit points of the following:

Note 1. If you have a science, biology, biomedical science and medicine background you must complete BIO2010 and EPM5033.
Note 2. If you have an IT/engineering background you must complete MCB2011 and 6 points of electives.
Note 3. Students who are not required to complete BIO2010, EPM5033 and MCB2011 must complete 12 credit points of additional elective units.
Note 4 : Elective units can be from MNHS or across the university providing you meet the respective pre-requisites.

• BIO2010 Data science for biologists
• EPM5033 Programming principles for health data analytics using Python
• MCB2011 Molecular biology and the cell plus 6 points of electives

Part B. Core studies (54 points)

 You must complete the following units:

• MPH5041 Introductory biostatistics
• BMS5XXX AI integrated proteomics and protein design (12 points)
• BMS5013 Research training: Ethics and integrity, biostatistics and critical thinking
• BMS5302 Machine learning: AI for bioinformatics
• BMS5303 Research case studies in bioinformatics
• BMS5309 Advanced transcriptomics: Bulk, single-cell, and spatial analysis (12 points)
• FIT9136 Introduction to Python programming

Part C. Application studies (30 points)

You must complete either the Coursework or Research pathway:

a. Coursework pathway

You must complete the following units:

• BMS5305 High performance computing for bioinformatics
• BMS5307 Research advanced case studies in bioinformatics (12 points)
• BMS5308 Integrative bioinformatics and multi-omic bioinformatics research

• MGF5910 Project management fundamentals

a. Research pathway

You must complete the following units:

• BMS5304 Bioinformatics research proposal
• BMS5306 Bioinformatics research project (24 points)