Master of Bioinformatics

Integrated Masters with deeper specialization and research focus
Taught in English
Duration 2 Years
Mode On Campus
Level Postgraduate
Degree Masters Degree
Closing soon February 2027

Course Overview

The Master of Bioinformatics at the University of Western Australia equips you to navigate the complex intersection of biology and data science, a field critical for advancements in medicine, environmental science, and agriculture. As biological data, from genomics to phenomics, explodes, the demand for professionals who can manage and interpret this information grows. This postgraduate degree is designed for individuals seeking to develop robust skills in analysing and understanding vast biological datasets, preparing you for impactful careers in a rapidly evolving scientific landscape. You will gain a deep understanding of core bioinformatics principles and their practical applications.

This Master of Bioinformatics is studied full-time on campus over two years, offering a comprehensive curriculum that includes core units in advanced genomics, bioinformatics, and big data analysis for biology. You will engage with essential techniques for collecting, analysing, and interpreting large biological datasets, with options to tailor your studies through elective units in areas like evolutionary biology or synthetic biology. A significant component involves undertaking a dissertation, allowing you to conduct in-depth research on a topic of your choice. You will graduate with the analytical and computational expertise required for roles in research institutions, biotechnology firms, and healthcare organisations.

Course Curriculum & Details

Detailed information for serious evaluators

Program Overview

This Master of Bioinformatics program equips students with advanced skills in genetics, genomics, and data analysis. You will explore integrated topics in genetics, learn to collect, analyze, and interpret big biological data, and master bioinformatics techniques for genomic analysis. The curriculum also covers data management, advanced modeling, and ethical scientific conduct, culminating in a dissertation project to apply your acquired knowledge to real-world challenges.

1 Conversion

Integrated topics in genetics I
Integrated topics in genetics II
Data use in science
The conduct, ethics and communication of science

2 Core

Advanced studies in genetics and genomics
Advanced genomics techniques
Collecting, analysing and interpreting big data in biology
Bioinformatics and data analysis for genomics
Data management and analysis in the natural sciences
Advanced bioinformatics and data analysis for genomics

3 Core

Big data, modelling and meta-analysis in biology, conservation and the environment
Human evolutionary biology
Food fibre and fuel security
Synthetic biology: solving global challenges
Global challenges in biomedical science
Applied predictive modelling

4 Option

Dissertation part 1
Dissertation part 2
Dissertation part 3
Dissertation part 4

Cost & Affordability

A clear picture of what this course will cost you

Program Costs

First Year Fee Tuition fee
USD 36,367.00
Second Year Fee Tuition fee
USD 36,367.00
Total Program Cost Estimated total tuition
USD 72,735.00

Currency note: Program costs shown in USD based on the available tuition breakdown.

Living Costs

Accommodation
USD 580.00 - USD 1,974.00
Food & Groceries USD 2,122.00 - USD 2,971.00
Transport USD 849.00 - USD 1,698.00
Utilities & Bills USD 849.00 - USD 1,698.00
Estimated Total USD 3,820.00 - USD 6,367.00

Living cost estimates are based on Crawley Campus.

Outcomes & Employability

What happens after you graduate

85%
Graduate Employment Rate Within 6 to 12 months of graduation

Common Graduate Roles

Brand ManagementCloud Computing & InfrastructureDrug Discovery & ResearchHealthcare ConsultingMental Health & CounselingPerformance & Growth MarketingQuality Assurance & ControlQuality Control & AssuranceRegulatory & Government AffairsSocial Media & Community Management

Top Employers Hiring for this course

Department of Health (WA Health)

Department of Primary Industries and Regional Development

Diabetes Victoria

Fiona Stanley Hospital

Google

Novartis

Oracle

Pharmacy 777

Why Study Master of Bioinformatics at University of Western Australia

What makes this program stand out

February 2027 Closing soon

Next intake is in February 2027

Very Fast Application response time

University of Western Australia typically responds to applications within 1 - 2 days, giving you clarity on your options quickly.

Life at University of Western Australia in Australia

What daily life looks like for international students

Language

English

Primary language everywhere

Climate

Mild & Rainy

10-20°C average, pack layers

Safety (Numbeo Safety Index)

Very Safe

Exeter is one of UK's safest cities

Frequently Asked Questions

Common questions about Master of Bioinformatics at University of Western Australia

Can I work while studying?

International students can work up to 48 hours every two weeks during term time and can work unlimited hours during breaks in Australia. No separate work permit is needed.

What English language score do I need for this course?

For English proficiency, applicants need an IELTS listening score of 6, an overall score of 6.5, and at least 6 in reading, speaking, and writing. Meeting these requirements is essential for admission.

What jobs can I get after studying this course?

Possible job titles include Bioinformatics Analyst, Data Scientist, Genomics Technician, Research Scientist, and Bioinformatics Programmer.

What will I actually study in this course?

This course addresses the rapid changes in biology and medicine due to data and technology, particularly in genetics and genomics. It offers foundational knowledge while allowing students to focus on specific interests, like biomedical, environmental, or agricultural bioinformatics.

When can I start — what are the intake months?

The Master of Bioinformatics has intakes in February and July each year. Prospective students should prepare their applications accordingly.
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