Master of Bioinformatics

This degree is currently under review and is not accepting new admissions in 2021.

Lead biological discoveries

Bioinformaticians are at the interface of mathematics/statistics, computer science and biology and manage, analyse and interpret complex biological data. As genetic information explodes, this high-demand role is highly sought after in personalised medicine, agricultural research, biomedical research, biotechnology and pharmaceutical companies.

What will you do?

Our Master of Bioinformatics prepares you to meet the growing demand for experts in the field. You’ll develop competitive analytical and research skills as you:

  • learn how to deal with large, complex biological data sets
  • apply bioinformatic analyses to real world problems in human health and agriculture
  • examine interlinked issues in translational bioinformatic research, translation and development
  • choose electives in particular areas of interest
  • conduct a major research project.

Where could it take you?

You might analyse how pharmacologic therapies alter gene expression in cancers. You could look at ways to accelerate and improve the growth of food crops. Perhaps you’ll design new methods for detecting disease or predicting disease risk.

 

Entry Requirements

For our students who are studying offshore in 2021 and 2022, the University will continue to offer high-quality access to the learning resources remotely for most programs. This includes all lectures, tutorials and other support material. Students will be advised in advance if there are course components that cannot be provided in remote mode and, wherever possible, offered alternative courses. Please refer to the COVID-19 FAQ page for a list of programs where in-person attendance is required.

Choose your applicant type to view the relevant admissions information for this program.
I am a:

Domestic applicants

SATAC Code 3CM198
Deferment Yes - 2 year
Intake February and July
Enquiries Future Students team

Selection Criteria
Graduate entry

Higher Education Study A completed Bachelor degree or equivalent with a minimum GPA of 5.0.

The completed degree must be in the field of: - Biological Science,
- Physics,
- Chemical Science,
- Mathematical Sciences, or
- Computer Science.

How to Apply
SATAC Code: 3CM198


Fees and Scholarships

Choose your applicant type to view the relevant fees and scholarships information for this program.
I am a:

Domestic applicants

Indicative annual tuition fees
Australian Full-fee place: $37,000

Scholarships

These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.

Find a Scholarship.

Careers

Career Readiness

Bioinformatics offers rewarding and well-paid careers using advanced technologies that will transform the biomedical and agricultural industries.
You’ll find career opportunities in research and development, and advisory and consultancy positions in private companies, government departments and universities.

Our graduates find employment in:
  • pharmaceutical companies
  • genomics service companies (e.g. 23andme/Ancestry.com)
  • biotechnology companies (establish and startups)
  • medical diagnostics providers - public and private
  • medical research institutes
  • government departments (defence, health, innovation, agriculture, environment)
  • public health research laboratories
  • research hospitals
  • academic institutions. 

The University of Adelaide Careers Service prepares, inspires and empowers students to achieve successful career transitions and connect with industry.

Potential careers

Bioinformatician, Future Trader, UX Developer, University Lecturer, Bioinformatics

Degree Structure

The 48-unit master’s program is made up of 24 units of coursework and 24 units of laboratory based research.

Example Study Plan


Indicative study plan
Core Courses BIOINF 7110 Biology for Bioinformatics
BIOINF 7120 Research Methods in Bioinformatics
BIOINF 7130 Bioinformatics Practice
BIOTECH 7005 Bioinformatics and Systems Modelling
and courses to the value of 9 units from the following:
COMP SCI 7202 Foundations of Computer Science (6 units)
COMP SCI 7201 Algorithm & Data Structure Analysis (3 units)
BIOINF 7140 Epigenomics Applications (3 units)
BIOINF 7150 Genomics Applications (3 units)
BIOINF 7160 Transcriptomics Applications (3 units)
and either
STATS 7107 Statistical Modelling & Inference
or
STATS 7054 Statistical Modelling
Research Project BIOINF 7200A Research Project Part 1
BIOINF 7200B Research Project Part 2
Electives Elective courses to the value 3 units:

BIOTECH 7000 Advanced Research Platforms (3 units)
BIOTECH 7001 Drug Discovery and Development (3 units)
BIOTECH 7002 Stem Cells and Advanced Tissue Culture (3 units)
BIOTECH 7004 Molecular Microbiology and Vaccines (3 units)
COMP SCI 7094 Distributed Databases & Data Mining (3 units)
COMP SCI 7201 Algorithm & Data Structure Analysis (3 units)
COMP SCI 7301 Advanced Algorithms (3 units)
COMP SCI 7401 Introduction to Statistical Machine Learning (3 units)
COMP SCI 7007 Specialised Programming (3 units)
COMP SCI 7306 Mining Big Data (3 units)
or
Core courses not previously presented

Assessment


For individual courses, assessment includes examinations, written and oral assignments and investigative projects (both individual and group). The research project is assessed by a literature review, research proposal, seminar, viva voce and a thesis.

Related Degrees

The University of Adelaide is committed to regular reviews of the courses and programs it offers to students. The University of Adelaide therefore reserves the right to discontinue or vary programs and courses without notice. Please read the important information contained in the disclaimer.

Last updated: Saturday, 25 Sep 2021