Graduate Certificate in Bioinformatics
The recent explosion of data and technology is rapidly changing the study and application of biology and medicine. This applies to advances in genetics and genomics as well as the huge diversity of phenotypic data being generated, related to everything from crop performance, the environment through to understanding and finding cures for human disease. There is a huge demand for individuals who have the skills to manage and interpret this flood of information. The field of bioinformatics has grown and evolved to meet this demand. Bioinformatics is a broad field, working across technologies with applied biological outcomes. Here the course provides the foundation in these broad areas of biology, with options to focus on the specific interests of the student, whether this be biomedical, environmental or agricultural. Because of this broad base, the course will be taught across schools.
While there are a growing list of bioinformatics training resources, this course aims to differentiate itself by offering applied skills and training, as well as providing a foundation for the advanced Master of Bioinformatics. Students will have access to real world data types to develop their data analysis skills.
Course structure
Note: This course is only available to re-enrolling students.
| Key to availability of units: |
|---|
| S1 = Semester 1; S2 = Semester 2 |
All units have a value of six points unless otherwise stated.
Take all units (12 points):
| Availability | Unitcode | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S2 | BIOL5301 | Big Data, Modelling and Meta-analysis in Biology, Conservation and the Environment |
| (possibly) 10 half days of contact |
| S1, S2 | SCIE4402 | Data Management and Analysis in the Natural Sciences |
| 5 days (1 day per fortnight). The total workload for the unit is 150 hours. |
Take unit(s) to the value of 12 points:
| Availability | Unitcode | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S2 | SCIE4002 | Bioinformatics and Data Analysis for Genomics |
| lectures and tutorials: 24 hours per semester; presentation sessions: approx. 6 (depending on student enrolment) |
| S2 | SCIE5507 | Food Fibre and Fuel Security |
| lectures, tutorials and/or workshops: 6 hours per week |
| S1, S2 | SCIE5515 | Global Challenges in Biomedical Science |
| lectures: 2 hours per week; tutorials: 2 hours per week |
See also the rules for the course and the Student Rules.
Rules
Note: This course is only available to re-enrolling students.
Applicability of the Student Rules, policies and procedures
1.(1) The Student Rules apply to students in this course.
(2) The policy, policy statements and guidance documents and student procedures apply, except as otherwise indicated in the rules for this course.
Academic Conduct Essentials and Communication and Research Skills modules
2.(1) Except as stated in (2), a student who enrols in this course for the first time irrespective of whether they have previously been enrolled in another course of the University, must undertake the Academic Conduct Essentials module (the ACE module).
(2) A student who has previously achieved a result of Ungraded Pass (UP) for the ACE module is not required to repeat the module.
English Language competency requirements
3. To be considered eligible for consideration for admission to this course an applicant must satisfy the University's English language competence requirement as set out in the University Policy on Admission: Coursework.
Admission requirements
4. To be considered for admission to this course an applicant must have—a) a relevant bachelor's degree, or an equivalent qualification, as recognised by UWA;
Admission ranking and selection
5. Where relevant, admission will be awarded to the highest ranked applicants or applicants selected based on the relevant requirements.
Articulations and exit awards
6. This course does not form part of an articulated sequence.
Course structure
7.(1) The course consists of units to a total value of 24 points.
(2) Units must be selected in accordance with the course structure, as set out in these rules.
Satisfactory progress
8. To make satisfactory progress a student must pass units to a point value greater than half the total value of units in which they remain enrolled after the final date for withdrawal without academic penalty.
9. A student who has not achieved a result of Ungraded Pass (UP) for the Communication and Research Skills module (the CARS module) when their progress status is assessed will not have made satisfactory progress even if they have met the other requirements for satisfactory progress in Rule 8.
Progress status
10. 8. To make satisfactory progress in a calendar year a student must pass units to a value of at least half the total value of
units in which they remain enrolled after the final date for withdrawal without academic penalty.
. A student who has not achieved a result of Ungraded Pass (UP) for the ACE module when their progress status is
assessed will not have made satisfactory progress even if they have met the other requirements for satisfactory progress in
Rule 8.
11. A student who does not make satisfactory progress in terms of Rule 9 is assigned the progress status of 'On Probation', unless they have been assigned a progress status of 'Suspended' or 'Excluded' for failure to meet other satisfactory progress requirements in Rule 8.
Award with distinction
12. This rule is not applicable to this course.
Deferrals
13. Applicants awarded admission to the course are entitled to a deferral of up to 12 months, as per the University Policy on: Admissions (Coursework).