Graduate Diploma in Bioinformatics

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

Build a career at the cutting edge

Bioinformatics is a still new science. It exists at the nexus of biological research, statistics and software engineering.

Thanks to fast-evolving technology and advances in genomics and proteomics, bioinformatics is developing at lightning speed.

What will you do?

Our Graduate Diploma in Bioinformatics covers core aspects of the field. You will:

  • practise a range of approaches to managing, analysing and interpreting biological data
  • explore DNA sequencing systems and statistical modelling
  • pursue electives according to your interests and career goals
  • gain competitive research and project management skills.

If you have recognised prior learning, you can also extend your studies into areas such as advanced algorithms, analysis of 'big data' and IT commercialisation.

Where could it take you?

This program might meet your professional development needs by itself or act as a first step towards the Master of Bioinformatics. As a bioinformatics specialist you could design complex databases or look at ways to accelerate and improve the growth of food crops. You might analyse how alternative medicines alter gene expression in cancers. Perhaps you’ll design new methods for detecting disease or food allergens.

Entry Requirements

Please note: For programs including placements and/or study-related activities in settings where COVID-19 vaccination is mandatory, it is an inherent requirement that all students be fully vaccinated prior to undertaking the placement and/or study-related activity.
From 30 June 2023, in accordance with Australian government requirements, the University will be returning to face-to-face teaching for all students where it is safe and practical to do so. For students with circumstances where it would not be practical or safe to travel to Australia, exemptions may apply. Students are encouraged to regularly check Study in 2023 and International Student Covid-19 FAQ for information and updates.

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

Domestic applicants

SATAC Code 3GD096
Deferment Yes - 2 year
Intake February and July
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.

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

Where the standard duration of the program is less than one year the full cost of the program is displayed.


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.


Potential careers

Future Trader, Bioinformatician

Degree Structure

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 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
COMP SCI 7007  Specialised Programming
COMP SCI 7403 Mining Big Data
and either
STATS 7107 Statistical Modelling & Inference
STATS 7054 Statistical Modelling
Electives Elective courses to the value 3 units:

BIOTECH 7000 Advanced Research Platforms (3 units)
BIOTECH 7001 Drug Discovery and Development (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)

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: Tuesday, 27 Sep 2022