Master of Bioinformatics (MBioinf)
Master of Bioinformatics (MBioinf)
Program Code
MBIO
Program Faculty
Faculty of Sciences
Special Notes
This program is not offered in 2022.
Academic Year
2022
These Program Rules should be read in conjunction with the University's policies (https://www.adelaide.edu.au/policies).
Overview
The Master of Bioinformatics is designed to develop skills in a variety of aspects of translational bioinformatics. Students will be exposed to a range of analytical approaches and develop highly competitive bioinformatics, research and project management skills. Students 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 commercialization.
As translational bioinformatics is the focus of the curriculum, courses within the programme focus strongly on application of bioinformatic approaches to real world problems particularly as related to human biology and agricultural career opportunities.
The Master of Bioinformatics is an AQF Level 9 qualification with a standard duration of 2 years.
Conditions
Condition of Continuing Enrolment: A student must complete all of the coursework before commencing the research project.
Interruption of program: Students must apply for permission from the Executive Dean or delegate before taking a Leave of Absence. Any extension of the leave without approval will result in the loss of place in the program but an application may be made to be re-admitted to the program subject to the admission procedures in place at the time.
Academic Program Rules for Master of Bioinformatics
There shall be a Master of Bioinformatics.
Qualification Requirements
To qualify for the degree of Master of Bioinformatics, the student must complete satisfactorily a program of study consisting of the following requirements with a combined total of not less than 48 units which must include a research project (24 units), comprising:
- Core courses to the value of 21 units
- Elective courses to the value 3 units
- Research equivalent courses to the value of 24 units in the form of a research project
Core Courses
-
Core Courses
To satisfy the requirements for Core Courses students must complete courses to the value of 21 units.
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value BIOINF 7110 Biology for Bioinformatics 3 BIOINF 7120 Research Methods in Bioinformatics 3 BIOINF 7130 Bioinformatics Practice 3 BIOTECH 7005 Bioinformatics and Systems Modelling 3 Courses to the value of up to 9 units may be taken from the following:
Subject/Catalogue Course Title Unit Value BIOINF 7150 Genomics Applications 3 BIOINF 7160 Transcriptomics Applications 3 COMP SCI 7201 Algorithm & Data Structure Analysis 3 COMP SCI 7202 Foundations of Computer Science 6 STATS 7054 Statistical Modelling 3 or
Subject/Catalogue Course Title Unit Value STATS 7107 Statistical Modelling and Inference 3 -
Research Project
To satisfy the requirements for Research Project students must complete courses to the value of 24 units.
All of the following courses must be completed:
Subject/Catalogue Course Title Unit Value BIOINF 7200A Research Project Part 1 0 BIOINF 7200B Research Project Part 2 24
Electives
-
Electives
Courses to the value of 3 units from the following:
Subject/Catalogue Course Title Unit Value BIOTECH 7000 Advanced Research Platforms 3 BIOTECH 7001 Drug Discovery and Development 3 BIOTECH 7002 Stem Cells and Advanced Tissue Culture 3 BIOTECH 7004 Molecular Microbiology and Vaccines 3 COMP SCI 7007 Specialised Programming 3 COMP SCI 7094 Distributed Databases & Data Mining 3 COMP SCI 7201 Algorithm & Data Structure Analysis 3 COMP SCI 7301 Advanced Algorithms 3 COMP SCI 7306 Mining Big Data 3 COMP SCI 7401 Introduction to Statistical Machine Learning 3 or
core courses not previously presented.