Note: This course is only available to re-enrolling students.
Course overview
Prospective students should see the Future Students website for details on admission requirements, intake periods, fees, availability to international students, careers information etc.
No study plans found for this course. See study plans for more information.
Specialisations
Course structure
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 (24 points):
| Availability | Unit code | Unitname | Unit requirements | Contact hours |
|---|---|---|---|---|
| S2 | CITS4009 | Computational Data Analysis |
| lectures: 2 hours per week; labs: 2 hours per week |
| S1 | CITS4404 | Artificial Intelligence and Adaptive Systems |
| |
| S2 | CITS5503 | Cloud Computing |
| |
| S1 | STAT4064 | Applied Predictive Modelling |
| Lectures: 2-hours per week; Computer Labs: 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) 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) and the Communication and Research Skills module (the CARS module).
(2) A student must successfully complete the ACE module within the first teaching period of their enrolment. Failure to complete the module within this timeframe will result in the student's unit results from this teaching period being withheld. These results will continue to be withheld until students avail themselves of a subsequent opportunity to achieve a passing grade in the ACE module. In the event that students complete units in subsequent teaching periods without completing the ACE module, these results will similarly be withheld. Students will not be permitted to submit late review or appeal applications regarding results which have been withheld for this reason and which they were unable to access in the normally permitted review period.
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 bachelor's degree with a major in Data Science, or an equivalent qualification, as recognised by UWA; or
(b)
(i) a bachelor's degree, or an equivalent qualification, as recognised by UWA; and
(ii) at least two years of full-time documented relevant industry experience considered by UWA to be sufficient to permit satisfactory completion of the course; and
(iii) a demonstrated data science and coding ability, as assessed 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 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.
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.(1) A student who makes satisfactory progress is assigned the status of 'Good Standing'.
(2) Unless the relevant board determines otherwise because of exceptional circumstances—
(a) a student who does not make satisfactory progress for the first time under Rule 8 is assigned a progress status of 'On Probation';
(b) a student who does not make satisfactory progress for the second time under Rule 8 is assigned a progress status of 'Suspended';
(c) a student who does not make satisfactory progress for the third time under Rule 8 is assigned a progress status of 'Excluded'.
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).