1. Handbook
  2. Subjects
  3. Statistical Genomics
  4. Print

Statistical Genomics (MAST30033)

Undergraduate level 3Points: 12.5On Campus (Parkville)

You’re viewing the 2019 Handbook:
Or view archived Handbooks


Year of offer2019
Subject levelUndergraduate Level 3
Subject codeMAST30033
Semester 2
FeesSubject EFTSL, Level, Discipline & Census Date

This subject introduces the biology and technology underlying modern genomics data, features of the resulting data types including the frequency and patterns of error and missingness, and the statistical methods used to analyse them. It will include hands-on data analysis using R software. The material covered will evolve as genomics technology and practice change, and will span the following four areas: introduction to genomics technology and the resulting data, population genetics, association analysis including tests of association and major sources of confounding, heritability and prediction both in human genetics and for animal and plant breeding, and analysis of expression quantitative trait loci.

Intended learning outcomes

  • Ability to explain the key genomics assays, their purpose and the strengths and limitations of the data generated.
  • An understanding of the role of population genetics theory in interpreting genomics data
  • Ability to perform a range of association analyses using SNP and sequence data
  • An understanding of the strengths and weaknesses of SNP-based heritability relative to traditional measures of heritability
  • Awareness of the major problems in association analyses that can lead to false inferences
  • Ability to explain the use of statistical models in predicting phenotype from genomic data, and the uses and limitations of genomic prediction

Generic skills

In addition to learning specific skills that will assist students in their future careers in science, they will have the opportunity to develop generic skills that will assist them in any future career path. In particular

  • computer-based data handling and statistical analysis of large data sets using the R software (students are expected to have some skills at entry but the subject will take them to a higher level)
  • ability to read, understand, modify and use short computer programs
  • time-management: completing assignments according to deadlines while making judgments about time required for different pars of the assignment.

Eligibility and requirements


Students must complete

Code Name Teaching period Credit Points
GENE20001 Principles of Genetics
Semester 1

Or equivalent knowledge of genetics

And one of the following subject sets (A, or B):


One of:

Code Name Teaching period Credit Points
MAST30032 Biological Modelling and Simulation
Semester 1
MAST20005 Statistics
Summer Term
Semester 2


Both of:

Code Name Teaching period Credit Points
MAST20031 Analysis of Biological Data
Semester 1
MAST10006 Calculus 2
Semester 1
Semester 2



Non-allowed subjects


Core participation requirements

The University of Melbourne is committed to providing students with reasonable adjustments to assessment and participation under the Disability Standards for Education (2005), and the Assessment and Results Policy (MPF1326). Students are expected to meet the core participation requirements for their course. These can be viewed under Entry and Participation Requirements for the course outlines in the Handbook.

Further details on how to seek academic adjustments can be found on the Student Equity and Disability Support website: http://services.unimelb.edu.au/student-equity/home


Additional details

Four computer-based assignments (12.5% per assignment) handed out and discussed during computer lab classes, completed in students' own time, and due at regular intervals during the semester (week 3, 6, 9 and 12). Submissions will include computer code, results generated (numerical and graphical) plus sections of text interpreting the results (total 10 pages per assignment). A 2-hour written exam due during the examination period (50%).

Dates & times

  • Semester 2
    Principal coordinatorHee Jung Shim
    Mode of deliveryOn Campus — Parkville
    Contact hours48 hours: 24 x one-hour lectures (2 lectures per week), 12 x two-hour practice classes (1 per week).
    Teaching period29 July 2019 to 27 October 2019
    Last self-enrol date 9 August 2019
    Census date31 August 2019
    Last date to withdraw without fail27 September 2019
    Assessment period ends22 November 2019

    Semester 2 contact information

Further information

  • Texts

    Prescribed texts

    There are no specifically prescribed or recommended texts for this subject.

  • Available through the Community Access Program

    About the Community Access Program (CAP)

    This subject is available through the Community Access Program (also called Single Subject Studies) which allows you to enrol in single subjects offered by the University of Melbourne, without the commitment required to complete a whole degree.

    Entry requirements including prerequisites may apply. Please refer to the CAP applications page for further information.

Last updated: 2 September 2019