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.
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:
|Deferment||Yes - 2 year|
|Intake||February and July|
|Enquiries||Future Students team|
|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,
|Intake||February and July|
English Language Requirements
|Australian Year 12||Successful completion of an Australian year 12 qualification with a minimum pass in an accepted English language subject|
|English Tests accepted by the University of Adelaide||
|Qualifications that meet minimum English requirements||A range of alternative qualifications may meet the University’s minimum English requirements|
Academic Entry RequirementsMore Information
|Tertiary Qualifications||Bachelor degree or equivalent with a minimum GPA of 5.0. Degree must be in the area 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:
|Indicative annual tuition fees (24 units)||International student place: $44,500|
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
Future Trader, Bioinformatician
Example 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)
|COMP SCI 7007 Specialised Programming
COMP SCI 7403 Mining Big Data
|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: Saturday, 25 Sep 2021