Graduate Diploma in Bioinformatics
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.
Choose your applicant type to view the relevant admissions information for this program.
I am a:
SATAC Code 3GD096 Deferment Yes - 2 year Intake February and July Enquiries Future Students teamGraduate 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,
- Chemical Science,
- Mathematical Sciences, or
- Computer Science.SATAC Code: 3GD096
CRICOS 092946K 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 IELTS Overall 6.5 Reading 6 Listening 6 Speaking 6.5 Writing 6.5 TOEFL Overall 79 Reading 13 Listening 13 Speaking 22 Writing 24 Pearsons Overall 58 Reading 50 Listening 50 Speaking 58 Writing 58 C1 Advanced Overall 176 Reading 169 Listening 169 Speaking 176 Writing 176 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:
Annual tuition feesAustralian Full-fee place: $33,000
Annual tuition fees (24 units) International student place: $40,500
These scholarships, as well as many others funded by industry and non-profit organisations, are available to potential and currently enrolled students.
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: Wednesday, 15 Jan 2020