Graduate Diploma in Bioinformatics
The Graduate Diploma in Bioinformatics is designed to develop skills in a variety of aspects of bioinformatics. Students will be exposed to a range of analytical approaches and develop highly competitive bioinformatics, research and project management skills. Student with recognised prior learning in the core areas of the programme may extend their studies into areas such as advanced algorithms, analysis of 'big data' and IT commercialisation.
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I am a:
Deferment Yes - 2 year Intake February and July Enquiries Future Students teamGraduate entry
Graduate Entry 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.
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 Cambridge 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 Requirements
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
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Annual tuition feesAustralian Full-fee place: $30,500
Annual tuition fees 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 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 7301 Advanced Algorithms (3 units)
COMP SCI 7201 Algorithm & Data Structure Analysis (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: Thursday, 6 Dec 2018