Overview

The Monash Master of Genome Analytics is a two-year future-focused course that provides expert training in bioinformatics, genetics, and genomics, developing graduates to meet the growing demand for expertise in the analysis of genome sequence data. The course develops knowledge and skills in the computational approaches used in genome sequence … For more content click the Read More button below.

Mode and location

On campus

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 knowledge of sequencing technologies to critically evaluate genome sequencing data quality.

2.

Apply the skills developed in bioinformatics to identify variants in genome sequencing data.

3.

Identify functional elements within the genome and predict the potential consequences of sequence changes within them.

4.

Apply, integrate and communicate genetic theory and analysis within a range of professional contexts.

5.

Demonstrate knowledge of the ethical issues relating to genomic datasets.

6.

Combine practical skills and theoretical knowledge to appraise and interpret variants in diagnostic genome sequencing data.

7.

Compose reports consistent with medical reporting guidelines for diagnostic genomics and accreditation requirements for diagnostic laboratories.

Structure

The course is structured in four parts. Part A. Genomics foundation studies, Part B. Core studies in genomics, Part C. Specialist studies and Part D. Advanced practice.

Part A. Genomics foundation studies

In these studies you will develop an understanding of cell biology, genome structure and function, the genetic basis of disease, and the use of genetics in medicine in preparation for Part B.

Part B. Core studies in genomics   

These studies will develop your understanding of sequence function within the genome, the technology of genome sequencing and the assessment of sequence quality, the analysis of genomic data, and introduce and develop expertise in the bioinformatics approaches used in genome analysis.

Part C.  Specialist studies

In this specialisation you will develop competency in the use of bioinformatics software used for variant interpretation in diagnostic genomics. You will gain training in variant classification, examine the ethical issues relevant to genomic information, and an understanding of the accreditation requirements for a career in the field. You will examine diagnostic datasets, developing the expertise necessary for a career in genome curation.

Part D.  Advanced practice

In this part you will undertake either a research thesis or professional development and application that will permit advanced practice of knowledge. The first option is a research thesis based in the field of genomics. Students wishing to use this master’s course as a pathway to a higher degree by research should take this option. The second option consists of coursework focused on the application of genomic approaches to the study of cancer, disease surveillance, and the microbiome together with advanced case studies or an internship in a commercial or hospital based laboratory applying genomics approaches.

Master's entry points

Depending on prior qualifications you may receive entry level credit (a form of block credit) which determines your point of entry to the course:

  • If you are admitted at entry level 1 you complete 96 credit points, comprising Part A, Part B, Part C, and Part D.
  • If you are admitted at entry level 2 you complete 72 credit points, comprising Part B, Part C, and Part D. 

Note: If you are eligible for credit for prior studies you may elect not to receive the credit and complete one of the higher credit-point options.

Course progression map

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

Requirements
96 credit points

Part C. Specialist studies24 credit points
Part D. Advanced practice24 credit points

Alternative exit(s)

You may exit this course early and apply to graduate with one of the following awards, provided you have satisfied the requirements for that award during your enrolment in this master's course:

  • Graduate Certificate of Genome Analytics (S4007) after successful completion of Part C.
  • Graduate Diploma of Genome Analytics (S5008) after successful completion of Part B and Part C. 

Progression to further studies

Successful completion of this course may provide a pathway to a graduate research degree. You will need to demonstrate a strong academic record and undertake the 24 credit point research thesis offered in Part D.

Course director(s)

Coordinator - Master of Genome Analytics

Organisational contact information

Telephone: 1800 MONASH (1800 666 274)
Send a question through ask.monash
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