Graduate Certificate in Data Science
In a data-driven world, there is growing demand in industry for people who can develop and interpret models for data analysis. The Graduate Certificate in Data Science equips students with skills in predictive modelling and computational data analysis. Successful completion of the certificate will allow students to articulate into the Master of Data Science.
Note: This course is only available to re-enrolling students.
|Key to availability of units:|
|S2 = Semester 2; N/A = not available in 2021|
All units have a value of six points unless otherwise stated.
Note: Units that are indicated as N/A may be available in 2022 or 2023.
Take all units (24 points):
|Availability||Unitcode||Unitname||Unit requirements||Contact hours|
|S2||CITS4009||Computational Data Analysis||lectures: 2 hours per week; labs: 2 hours per week|
|N/A||CITS4404||Artificial Intelligence and Adaptive Systems|
|S2||STAT4064||Applied Predictive Modelling||lectures: 2 hours per week; computer laboratories: 2 hours per week|
Applicability of the Student Rules, policies and procedures
1.(1) The Student Rules apply to students in 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).
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 ranking and selection
Articulations and exit awards
(2) Units must be selected in accordance with the course structure, as set out in these rules.
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.
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.