The course consists of core units, specialist elective units and elective units.
The core units of this program will allow you to explore a range of data science concepts.
Specialist electives will grow your knowledge in areas such as statistics and decision making.
The course stresses both the importance of theory and the application of theory in practice through projects and practical exercises.
You can study a Graduate Diploma of Data Science online or on campus. Access to the internet is required for distance learning, with access to high speed broadband highly recommended.
A candidate must successfully complete units totalling 80 credit points (cp) as detailed below. All units are valued at 10 credit points unless indicated.
||Compulsory Core units totalling 60 credit points as detailed below.
PRT531 Business Intelligence and Data Mining (replaces BIS551 from 2020)
PRT541 Information Systems Management (replaces PRT456 from 2020)
PRT551 Project Management, Risk and Reliability
PRT563 Advanced Data Management (replaces PRT561 from 2019)
PRT564 Data Analytics and Visualisation (replaces PRT562 from 2019)
PRT580 Discrete Structures (replaces HIT400 from 2020)
||Specialist Elective units totalling 20 credit points as detailed below.
BUS501 Decision Making
ENV511 Statistical Methods for Impact Analysis
STA510 Business Statistics
||Total Credit Points
Students who commenced in or after 2013
The grade of "PC" cannot be counted towards a Graduate Diploma AQF Level 8 course award.
Students should refer to the current Grading Policy and Common Course Rules for further information.