Master of Information Technology in Bioinformatics

University of New South Wales (UNSW) - Kensington Campus

Australia,New South Wales

 0 Shortlist

24 Months

Duration

CAD 54,000/year

Tuition Fee

CAD 150

Application Fee

Apply Date

Australia, New South Wales

Type: University

Location Type: Semi-Urban

Founded: 1949

Total Students: 65,600 +

Int. Students: 22,946 +

Campus Detail

Main Campus Address

Civil Engineering Building (H20), Library Rd, UNSW Sydney, Kensington NSW 2052, Australia

Master of Information Technology in Bioinformatics

Program Overview

Organisations across the world are built on Information Technology and the benefits it provides individuals and companies, working more efficiently and maximising productivity. When you work in Information Technology you can build company communication networks, safeguard data and information, create and manage databases and ensure the security of business information.

When you study the Master of Information Technology at UNSW you’ll learn to foresee future technology requirements and develop applications, frameworks, products and services in areas such as networking, data mining, robotics and internet services. You'll develop applications, frameworks, products and services for growing areas such as artificial intelligence and cybersecurity.

Specialisation: Bioinformatics
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.

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