CourseMaster's Degree (Coursework)MGenoAnalytics

S6005 Master of Genome Analytics

Faculty of Science

Master of Genome Analytics (S6005) is a 2 years full-time, 96-credit-point, master's degree (coursework) course from the Faculty of Science, taught at Clayton. Map your units semester by semester with the MonMap planner.

Credit points
96
Duration
2 years full time
4 years part time
Campus
Clayton
On campus

This is the 2021 handbook entry. See the 2027 entry.

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Requisite map

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 analysis as well as genome function, and genome sequencing approaches. You will undertake specialist studies, each focussed on the application of genomics in different contexts, ensuring graduates are strongly placed to gain employment in the genomics industry and to contribute to its continued expansion and development. The course provides a mixture of theory and application, including internship or research pathways.

Course structure

Part A. Genomics foundation studies24 credit points
Part B. Core studies in genomics24 credit points
Part C. Specialist studies24 credit points
You complete the following units
Part D. Advanced practice24 credit points
Complete either Option 1, Option 2 or Option 3.

Option 1: Research thesis unit

24 credit points
The handbook's description of this 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. Each part is 24 points.

All students complete Parts B and C. Depending upon prior qualifications, you may receive credit for specific units in Part A and/or Part D for relevant qualifications at undergraduate or graduate levels, respectively. 

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

Course progression map

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

The course is structured in four parts. Part A. Genomics foundation studies (24 points), Part B. Core studies in genomics (24 points), Part C. Specialist studies (24 points) and Part D. Advanced specialist studies(24 points).

Units are 6 points unless otherwise stated.

PART A.  Genomics foundation studies (24 points)

You must complete:

  • GNA2042 Human genetics
  • GNA2022 The dynamic cell 
  • GNA5051 Medical and forensic genetics 
  • GNA5010 Advanced genetics and biotechnology

PART B.  Core studies in genomics (24 points)

You must complete:

  • GNA5040 Genomics and its applications
  • GNA5011 Genome function
  • GNA5012 Applied bioinformatics
  • GNA5022 Sequencing technologies

PART C. Specialist studies (24 points)

You must complete:

  • GNA5120 Bioinformatics in genome curation and sequencing technologies (12 points)
  • GNA5200 Case studies in genomics (12 points)

PART D. Advanced practice (24 points)

You complete either a), b), or c) below:

a) Research thesis unit 

  • GNA5900 Genomics research thesis (24 points)

b) Coursework and advanced case studies: 

  • GNA5031 Disease surveillance and the microbiome
  • GNA5041 Cancer genomics
  • GNA5920 Advanced case studies (12 points)

c) Coursework and internship

  • GNA5031 Disease surveillance and the microbiome
  • GNA5041 Cancer genomics 
  • GNA5930 Internship (12 points)

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. 1

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

  2. 2

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

  3. 3

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

  4. 4

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

  5. 5

    Demonstrate knowledge of the ethical issues relating to genomic datasets.

  6. 6

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

  7. 7

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

Entry requirements

English language

Monash minimum: 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. You will need to demonstrate a strong academic record and undertake the 24 credit point research thesis offered in Part D.

Other information

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 analysis as well as genome function, and genome sequencing approaches. You will undertake specialist studies, each focussed on the application of genomics in different contexts, ensuring graduates are strongly placed to gain employment in the genomics industry and to contribute to its continued expansion and development. The course provides a mixture of theory and application, including internship or research pathways.

Common questions

How long is Master of Genome Analytics?

2 years full time, 96 credit points. At 24 credit points a semester, that is 4 semesters of full-time study.

Where can I study Master of Genome Analytics?

At Clayton.

How do I plan my Master of Genome Analytics 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.

Course details

Qualification
Master's Degree (Coursework)
AQF level
Level 9
Credit points
96
Full time
2 Years
Part time
4 Years
Maximum time
6 years
Faculty
Faculty of Science
CRICOS code
0101962
Abbreviation
MGenoAnalytics
Award title
Master of Genome Analytics
Handbook years
2021202220232024202520262027