Handbook - Bioinformatics

Overview

Bioinformatics is an exciting field at the junction of computer science and biology. It deals with the application of computing and mathematical methods to the management, analysis and modelling of biological data, especially in relation to molecular biology. Potential employers include research groups in the biotechnology and pharmaceutical industries and … For more content click the Read More button below. 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.

Bioinformatics is an exciting field at the junction of computer science and biology. It deals with the application of computing and mathematical methods to the management, analysis and modelling of biological data, especially in relation to molecular biology.

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.

Available in Program(s)
Single degree program(s) in which this specialisation is available:

Master of Information Technology - MIT8543 - Information Technology

Specialisation Structure

Students must complete 96 UOC.

Core Courses48 Units of Credit:

Students must take 48 UOC of the following courses.

Core Courses

Applied Bioinformatics

Computational Bioinformatics

Principles of Programming

Data Structures and Algorithms

Database Systems

Computer Networks and Applications

Information Technology Project

Engineering Project Management

Prescribed Electives18 Units of Credit:

Disciplinary Electives30 Units of Credit:

Students must take 30 UOC of the following courses.
Note: Students may choose up to two Level 4 or higher elective courses outside of the School of Computer Science and Engineering. These courses are listed under "Non-Computing Electives".

Genome Informatics Engineering Design Workshop

Computational Biology Engineering Design Workshop

Applied Bioinformatics

Computational Bioinformatics

Theory of Computation

User Interface Design and Construction

Web Front-End Programming

Security Engineering and Cyber Security

Web Application Security and Testing

Cryptocurrency and Distributed Ledger Technologies

Extended Security Engineering and Cyber Security

Extended Web Application Security and Testing

Foundations of Computer Science

Microprocessors and Interfacing

Software Construction: Techniques and Tools

Design and Analysis of Algorithms

Programming Languages and Compilers

Foundations of Concurrency

Concepts of Programming Languages

Operating Systems

Computer Architecture

Digital Circuits and Systems

Extended Operating Systems

Cyber Security Project

Cyber Security Project B

Big Data Management

Data Services Engineering

Software Service Design and Engineering

Network Routing and Switching

Artificial Intelligence

Computer Graphics

Security Engineering Workshop

Human Computer Interaction

Extended Design & Analysis of Algorithms

Extended Artificial Intelligence

Engineering Decision Structures

Launching a Startup

Engineering Project Management

Non-Computing Electives

The following courses are outside the School of Computer Science and Engineering (CSE) and within the maximum 12 UOC Level 4 or higher elective courses outside of the CSE rule.

Rehabilitation and Assistive Technology

Principles of Geographic Information Systems and Science

Fundamentals of Geopositioning

Principles of Remote Sensing

Microwave Remote Sensing

Engineering Postgraduate Coursework Research Skills

Engineering Postgraduate Coursework Research Skills

Network Systems Architecture

Business in the Digital Age

Product Analytics

Customer Analytics

Advertising Analytics

Data Mining and its Business Applications

Introduction to Probability and Stochastic Processes

Multivariate Analysis

Introduction to Statistics and Statistical Computations

Statistical Inference

Bayesian Inference and Computation

Switching Systems Architecture

Network Operations and Control

Advanced Wireless Communications

Coding and Information Theory

Advanced Disciplinary Knowledge (ADK) Requirement

At least 36 UOC of Disciplinary Elective, Prescribed Elective and/or Non-Computing Elective courses chosen must be taken from the following Advanced Disciplinary Knowledge Course List.

Advanced Algorithms

Advanced Topics in Software Verification

Knowledge Representation and Reasoning

Digital Forensics

System and Software Security Assessment

Security Engineering Masterclass

Software Architecture for Blockchain Applications

Information Retrieval and Web Search

(In-)Formal Methods: The Lost Art

Internet of Things Experimental Design Studio

Algorithms for Intractable Problems

Modelling Concurrent Systems

Advanced C++ Programming

Extended Digital Forensics and Incident Response

Solving Modern Programming Problems with Rust

Algorithmic Verification

Advanced Operating Systems

Distributed Systems

Data Analytics for Graphs

Database Systems Implementation

Data Warehousing and Data Mining

Web Data Compression and Search

Software as a Service Project

Advanced Computer Networks

Capacity Planning of Computer Systems and Networks

Mobile Data Networking

Securing Fixed and Wireless Networks

Machine Learning and Data Mining

Advanced Topics in Statistical Machine Learning

Robotic Software Architecture

Neural Networks and Deep Learning

Applied Artificial Intelligence

Computer Vision

Recommender Systems

Information Technology Project

Research Project A

Research Project B

Research Project C

Principles of Geographic Information Systems and Science

Principles of Remote Sensing

Data Mining and its Business Applications

Project Option

Students are required to complete COMP9900. They can instead complete a more substantial project by replacing COMP9900 and 6 or 12 UOC of Advanced Disciplinary Knowledge courses with the following research project course combinations:

COMP9991 Research Project A and COMP9992 Research Project B (12 UOC in total)
or
COMP9991 Research Project A and COMP9993 Research Project C (18 UUC in total)

Substitution for COMP9900 is subject to meeting the following criteria:
• completed (or have advanced standing in) 72 UOC; and
• obtained agreement from a CSE academic supervisor; and
• maintained a distinction level performance in the program
Students who complete these research projects do not complete COMP9900 Information Technology Project.

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You are responsible for ensuring that you enrol in courses according to your program requirements and by following the advice of your Program Authority. myUNSW enrolment checks that you have met enrolment requirements such as pre-requisites for individual courses but not that you are enrolling in courses that will count towards your program requirements.

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