Course Information

Master of Bioinformatics

Effective from 01-JAN-2021 : Code I77

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 online study.

Disclaimer

This course information may be updated and amended immediately prior to semester. To ensure you have the correct outline, please check it again at the beginning of semester. In particular please check the course requirements and the unit and unit set offerings, as these differ according to course delivery location.

Clinical or professional work placement Requirement

Work Integrated Learning is undertaken by the students in their final, capstone unit. In this unit, the student is supervised by a staff member who is allocated as their academic supervisor. This is in addition to a workplace supervisor who is an experienced staff member of the organisation hosting the work experience student. 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.

Attendance requirements

During their WIL placement unit, students will be required to undertake the equivalent of at least ten weeks of full time work placement with a host organisation, at university as a research project or as an online project. 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.

Application process

Students must contact the WIL coordinator for the course prior to the start of the semester.

Enrolment process

Students enrol in the specific work placement unit - CSI6223.

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.

Implications of failing

Failing the WIL component will lead to failure of the WIL unit and therefore the students will have to repeat the unit.

Course Learning Outcomes

  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.

Admission requirements

Admission requirement (Band 6)

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

English Language requirement (Band 4)

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 in the Admissions Policy;
  • 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 as defined in the Admissions Policy.

Course Specific Admission Requirements

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.

Course Duration

  • Full Time: 2 Years
  • Part Time: 4 Years

Course Delivery

  • Joondalup: Full Time, Part Time
  • Online: Full Time, Part Time

Course Coordinator

Dr David Luke FIELD

Course Structure

Year 1 - Semester 1
Unit Code Unit Title Credit Points
MAT5212Biostatistics20
CSI6208Programming Principles20
MAT6206Data Analysis and Visualisation20
Year 1 - Semester 2
Unit Code Unit Title Credit Points
SCH6234Molecular Biology and Genomics20
SCI6150Biological Databases and Data Mining20
SCI6152Mass Spectrometry in Systems Biology20
Year 2 - Semester 1
Unit Code Unit Title Credit Points
RES5115Research Preparation: Principles and Approaches20
SCI6151Integrative Systems Biology20
SCH6245Clinical Bioinformatics20
Year 2 - Semester 2
Unit Code Unit Title Credit Points
CSI6223Work Experience Project60

Disability Standards for Education (Commonwealth 2005)

For the purposes of considering a request for Reasonable Adjustments under the Disability Standards for Education (Commonwealth 2005), inherent requirements for this subject are articulated in the Unit Description, Learning Outcomes and Assessment Requirements of this entry. The University is dedicated to provide support to those with special requirements. Further details on the support for students with disabilities or medical conditions can be found at the Access and Inclusion website.

I77|2