Bioinformatics - COMPBS8543
Stream Summary
Faculty: Faculty of Engineering
School: School of Computer Science and Engineering
Contact: School
Program: 8543 - Information Technology
Award(s):
Master of Information Technology (Specialisation)
View stream information for previous years
Stream Outline
Potential employers include research groups in the biotechnology and pharmaceutical industries and institutions such as universities, medical research institutes and research hospitals.
The Bioinformatics stream in the Graduate Diploma and Master of Information Technology programs are targeted at graduates who are interested in applying computer science and computer engineering skills to problems in the life sciences.
It covers the scientific foundations of bioinformatics (biotechnology and statistics), computer technologies important in bioinformatics (programming, scripting, machine learning, data mining and warehousing) and bioinformatics methods and applications in the analysis of sequence, structure and function of biological molecules.
Stream Structure
- 18 UOC from the Prescribed Electives (see below)
- 36 UOC more level-4 or higher COMP elective courses
- at least 36 UOC must come from the CSE ADK course list (see below)
COMP9900 is not required if a major research project course (COMP9596 or COMP9945) is taken.
Advanced Disciplinary Knowledge Courses:
- COMP3431 Robotic Software Architecture (6 UOC)
- COMP4121 Advanced & Parallel Algorithms (6 UOC)
- COMP4161 Advanced Verification (6 UOC)
- COMP4411 Experimental Robotics (6 UOC)
- COMP4418 Knowledge Representation (6 UOC)
- COMP6714 Info Retrieval and Web Search (6 UOC)
- COMP9153 Algorithmic Verification (6 UOC)
- COMP9181 Language-based Software Safety (6 UOC)
- COMP9242 Advanced Operating Systems (6 UOC)
- COMP9243 Distributed Systems (6 UOC)
- COMP9315 Database Systems Implementat'n (6 UOC)
- COMP9318 Data Warehousing & Data Mining (6 UOC)
- COMP9319 Web Data Compression & Search (6 UOC)
- COMP9323 e-Enterprise Project (6 UOC)
- COMP9333 Advanced Computer Networks (6 UOC)
- COMP9334 Systems Capacity Planning (6 UOC)
- COMP9335 Wireless Mesh&Sensor Networks (6 UOC)
- COMP9336 Mobile Data Networking (6 UOC)
- COMP9417 Machine Learning & Data Mining (6 UOC)
- COMP9418 Advanced Machine Learning (6 UOC)
- COMP9441 Security Engineering (6 UOC)
- COMP9444 Neural Networks, Deep Learning (6 UOC)
- COMP9517 Computer Vision (6 UOC)
- COMP9596 Research Project (12 UOC)
- COMP9900 Info Tech Project (6 UOC)
- COMP9945 Research Project (18 UOC)
Students are permitted to substitute 12-18uoc of Advanced Disciplinary Knowledge courses in their final semester with a research project of equal value provided they meet the following criteria:
- completed (or have advanced standing in) 72uoc; and
- obtained agreement from a CSE academic supervisor; and
- maintained a distinction level performance in the program.
- COMP9315 Database Systems Implementat'n (6 UOC)
- COMP9596 Research Project (12 UOC)
Advanced Standing
Advanced standing is possible in up to 50% of the stream. For details on Advanced Standing and Exemptions, see the 8543 Master of Information Technology program description.