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Postgraduate ECU-BIO-MAS-2023

Master of Bioinformatics

Harness bioinformatics in a real-life industry project

Hone skills in working with complex data sets – combining biology, computer science and information engineering. Work on a project under the eyes of an industry professional. Make workplace connections. Become a bioinformatition or informatician.

Available loans

Australian Higher Education Loan Program (HELP)

Total subjects

10

Price

From

$53,700

Study method

Online & on-campus

Assessments

100% online

Credit available

Yes

Applications Close

  • No dates available
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QS Ranking 2023

28

Times Higher Education Ranking 2023

28

  • 2023

Degree details

What you'll learn

At the end of the program, students of the Master of Bioinformatics can:

  1. Reflect critically on a complex body of specialist knowledge and understanding of recent developments and methods applicable to the field of Bioinformatics and related disciplines.
  2. Investigate, analyse and synthesise complex ideas, concepts and theories in Bioinformatics.
  3. Apply communication skills to design innovative contributions to professional practice in Bioinformatics.
  4. Use high level self-management skills to initiate, plan and execute a substantial project or contribution to professional practice in Bioinformatics.
Career opportunities

This course places students with an industry/organisation for their semester-long project. The placement will enable students to undertake a bioinformatics project with a host supervisor, as well as getting direct exposure to the nature of the organisation and its priorities. This provides an excellent springboard for employment following this degree. Employment opportunities will be in local government, industry, state, national government and non-government organisations, particularly in the biological, medical and research sectors.

Possible future job titles

Bioinformatician, computational biologist, computational chemist, computational scientist, systems biologist, clinical bioinformatician, data scientist, data analyst, informatician, biometrician.

Entry requirements

Higher education

The following course-specific admission requirements are mandatory and must be satisfied by all applicants. These requirements are in addition to or supersede the minimum requirements outlined within the Academic admission requirements band section below.


Special entry may be considered for students with a cognate first degree (or with appropriate experience) who can apply for a reduced course duration:


1.5 years full time (3 years part time) – 180 credit points

Admission is based on:

Bachelor degree in a related discipline*, or

Bachelor degree in any discipline, plus five years relevant work experience^, or

Graduate Certificate of Bioinformatics (or equivalent), or

Evidence of academic capability judged to be equivalent.

*Related discipline refers to any chemistry/biology discipline

^Relevant work experience constitutes Senior/Managerial positions to be approved by the Course Coordinator.


Academic admission requirements (Band 6) may be satisfied through completion of one of the following:

  • Bachelor degree; or
  • Equivalent prior learning including at least five years relevant professional experience.

Work and Life

Alternatively, applicants can apply with at least five years of appropriate professional experience.

English Proficiency Requirements

English competency requirements may be satisfied through completion of one of the following:

  • IELTS Academic Overall band minimum score of 6.5 (no individual band less than 6.0);
  • Bachelor degree from a country specified on the English Proficiency Bands page;
  • Successfully completed 0.375 EFTSL of study at postgraduate level or higher at an Australian higher education provider (or equivalent);
  • Where accepted, equivalent prior learning, including at least five years relevant professional experience; or
  • Other tests, courses or programs defined on the English Proficiency Bands page.

Practicum placement

Work Experience requirement

In the final semester of the course, students will complete a project involving integrated learning with a company, agency, or university academic in their discipline area.

Attendance requirements

Students will be expected to participate in a minimum of 456 hours working with an organisation on a project and produce a report on activities. International students (FPON) can only enrol on campus and so can only complete the WIL unit as a research project or as a placement with a host organisation.

Professional practice rules

Students undertaking a work placement will demonstrate discipline knowledge, communication and collaboration skills, in addition to a proven professional work ethic whilst undertaking projects in an industry or university setting.

Credit for previous study or work

If you have completed units of study at University, or have relevant professional experience, you may be eligible for Credit and Recognition of Prior Learning (CRPL).

To assess your eligibility for credit, we first need you to apply for and accept an offer in your course of interest with us. You can then submit an Application for Credit and Recognition of Prior Learning via your Student Portal. 

Description

This course provides students with skills and experience in bioinformatics, focusing on omics science, computer programming, applied mathematics and statistics.

It provides work experience in relevant organisations within the industry, allowing students to gain an understanding of the application of bioinformatics in a real world context. It also focuses on practical skills for researchers and industry professionals in bioinformatics, and offers flexible study options through on-campus and off-campus study.

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