Course structure

Course structure explained

Students must complete 96 credit points (CP), comprising 44CP core subjects, 32CP specified data science related optional subjects and 20CP elective subjects. Elective subjects can be selected from data science related subjects and from across the University’s disciplines. Enrolment in subjects from other faculties may require submission of an e-request and be dependent on approval from the subject coordinator of the host faculty, and usually requires demonstrated ability to meet pre-requisites. This flexible course structure enables students to pursue their own particular interests and career aspirations.

Students who have completed certain components of this course may qualify for a Graduate Certificate in Data Science and Innovation (C11274) or Graduate Diploma in Data Science and Innovation (C06124).

Industrial training/professional practice

The iLabs and internship projects provide the opportunity for students to design investigations utilising contemporary data discovery techniques and large, complex, multi-structure data sets. The study can focus on the student's current work environment, or industry placements can be negotiated in a discipline of interest.

Course completion requirements

REQUIREMENT CREDIT POINTS

STM91478 Data Science Core Subjects 44

CBK91915 Options (Data Science and Innovation) MDataScInn 32

CBK91916 Electives 20

Total 96