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Faculty of EngineeringSchool of Computer Science |
Course: | Master of Data Science 2023+ (2024) |
CP Required: | 72 |
Min FT Duration: | 1.50 Years |
Min PT Duration: | N/A |
Faculty/School: | School of Computer Science |
Years Offered: | 2025, 2024, 2023 |
Type | CP | CP From |
6 |
Select from
COMP5310: Principles of Data Science |
|
6 |
Select from
STAT5003: Computational Statistical Methods |
|
List
|
12 |
Select from
Unit Blocks: Data Science Foundation Units Data Science Elective Units Note: Students in the Research Pathway are advised to enrol in Specialisation units instead |
Note: This order of units is a guide only. Where core units are available in both Semester 1 and Semester 2, they can be switched with an alternative unit in this guide.
Type | CP | CP From |
6 |
Select from
COMP5048: Visual Analytics |
|
6 |
Select from
INFO5990: Professional Practice in IT |
|
12 |
Select from
Unit Block: Data Science Specialisation Units Note: Students in the Research Pathway are advised to enrol in INFO5993 + DATA5704 instead. To enrol in Research Pathway units, students who have a 75 WAM after completing 24CP of Data Science core and/or specialisation units may apply for Departmental Permission for the units. |
Type | CP | CP From |
6 |
Select from
INFO5992: Understanding IT Innovations |
|
6 |
Select from
Unit Block: Data Science Specialisation Units |
|
12 |
Select from
Unit Block: Data Science Project and Research Units Note: Students in Professional Pathway are advised to enrol in their Capstone Project unit DATA5703 or DATA5709. Those in Research Pathway are advised to enrol in DATA5702 |
Type | CP | CP From |
18 |
Select from
COMP5338: Advanced Data Models COMP5339: Data Engineering COMP5349: Cloud Computing |
Note: In your enrolment portal, please choose the 18cp of Specialisation units from the relevant specialisation collection.
Type | CP | CP From |
18 |
Select from
COMP5318: Machine Learning and Data Mining COMP5328: Advanced Machine Learning COMP5329: Deep Learning |
Note: In your enrolment portal, please choose the 18cp of Specialisation units from the relevant specialisation collection.
Type | CP | CP From |
18 |
Select from
Unit Block Data Science Specialisation Units Note: Unspecified Specialisation requires the completion of 18 credit points from the Data Science Specialist units of study table. |
Note: In your enrolment portal, please choose the 18cp of Specialisation units from the relevant specialisation collection.
Unit Code | Unit Name | CP | Sessions Offered |
COMP5048 | Visual Analytics | 6 |
Semester 1 Semester 2 |
COMP5310 | Principles of Data Science | 6 |
Semester 1 Semester 2 |
STAT5003 | Computational Statistical Methods | 6 |
Semester 1 Semester 2 |
Unit Code | Unit Name | CP | Sessions Offered |
INFO5990 | Professional Practice in IT | 6 |
Semester 1 Semester 2 |
INFO5992 | Understanding IT Innovations | 6 |
Semester 1 Semester 2 |
Unit Code | Unit Name | CP | Sessions Offered |
COMP5046 | Natural Language Processing | 6 |
Semester 1 |
COMP5313 | Large Scale Networks | 6 |
Semester 1 |
COMP5318 | Machine Learning and Data Mining | 6 |
Semester 1 Semester 2 |
COMP5328 | Advanced Machine Learning | 6 |
Semester 2 |
COMP5329 | Deep Learning | 6 |
Semester 1 |
COMP5338 | Advanced Data Models | 6 |
Semester 2 |
COMP5339 | Data Engineering | 6 |
Semester 1 Semester 2 |
COMP5349 | Cloud Computing | 6 |
Semester 1 |
COMP5425 | Multimedia Retrieval | 6 |
Semester 1 |
INFO5060 | Data Analytics and Business Intelligence | 6 |
Int July |
QBUS6810 | Statistical Learning and Data Mining | 6 |
Semester 1 Semester 2 |
QBUS6840 | Predictive Analytics | 6 |
Semester 1 |
Note:
Completion of a Specialisation is optional for the Master of Data Science.
A Specialisation requires the completion of18 credit points of Specialisation Core units, and completion of a minimum of 12 credit points of capstone or research project units in the same area as the specialisation for the Master of Data Science.
The specialisations available are: Data Engineering, and Machine Learning
Candidates who choose not to take a specialisation sequence complete 18 credit points of Unspecified specialisation units of study.
See Majors/Pathways tab for details. In your enrolment portal, please choose the 18cp of Specialisation units from the relevant specialisation collection.
Unit Code | Unit Name | CP | Sessions Offered |
COMP9001 | Introduction to Programming | 6 |
Semester 1 Semester 2 |
COMP9017 | Systems Programming | 6 |
Semester 1 |
COMP9110 | System Analysis and Modelling | 6 |
Semester 1 |
COMP9120 | Database Management Systems | 6 |
Semester 1 Semester 2 |
COMP9121 | Design of Networks & Distributed Systems | 6 |
Semester 2 |
INFO6007 | Project Management in IT | 6 |
Semester 1 Semester 2 |
STAT5002 | Introduction to Statistics | 6 |
Semester 1 Semester 2 |
Unit Code | Unit Name | CP | Sessions Offered |
COMP5047 | Pervasive Computing | 6 |
Semester 2 |
COMP5216 | Mobile Computing | 6 |
Semester 2 |
COMP5347 | Web Application Development | 6 |
Semester 1 |
COMP5348 | Enterprise Scale Software Architecture | 6 |
Semester 2 |
COMP5416 | Advanced Network Technologies | 6 |
Semester 2 |
COMP5425 | Multimedia Retrieval | 6 |
Semester 1 |
COMP5426 | Parallel and Distributed Computing | 6 |
Semester 1 |
COMP5427 | Usability Engineering | 6 |
Semester 1 |
CSYS5010 | Introduction to Complex Systems | 6 |
Semester 1 Semester 2 |
DATA5207 | Data Analysis in the Social Sciences | 6 |
Semester 1 Int December |
ELEC5514 | IoT Wireless Sensing and Networking | 6 |
Semester 2 |
ELEC5517 | Software Defined Networks | 6 |
Semester 2 |
ELEC5618 | Software Quality Engineering | 6 |
Semester 1 |
PHYS5033 | Environmental Footprints and IO Analysis | 6 |
Semester 1 Semester 2 |
Unit Code | Unit Name | CP | Sessions Offered |
DATA5702 | Data Science Research Project A | 12 |
Semester 1 Semester 2 |
DATA5703 | Data Science Capstone Project | 12 |
Semester 1 Semester 2 |
DATA5704 | Data Science Research Project B | 6 |
Semester 1 Semester 2 |
DATA5707 | Data Science Capstone A | 6 |
Semester 1 Semester 2 |
DATA5708 | Data Science Capstone B | 6 |
Semester 1 Semester 2 |
DATA5709 | Data Science Capstone Project – Individual | 12 |
Semester 1 Semester 2 |
INFO5993 | IT Research Methods | 6 |
Semester 1 Semester 2 |
Note:
All candidates for the Master of Data Science are required to complete a substantial project that will allow the student to apply and demonstrate their knowledge and skills from the program.
Professional Pathway Project Units
The minimum requirement for the Professional Pathway is 12 credit points of Data Science Capstone Project units.
Candidates can complete either DATA5707 and DATA5708 (6+6 credit points - two semesters available for part-time students) or DATA5703 or DATA5709 (12 credit points - single semester).
The remaining 12 credit points in the Professional Pathway may be taken from Specialist, Foundation or Elective units.
Research Pathway Units
Candidates in the Research Pathway must take all 24 credit points of the Research Pathway units of study (DATA5702, DATA5704 and INFO5993).
Candidates who choose the Research Pathway will be required to undertake a project in an area related to the specialisation.
Unit Code | Unit Name | CP | Sessions Offered |
COMP5338 | Advanced Data Models | 6 |
Semester 2 |
COMP5339 | Data Engineering | 6 |
Semester 1 Semester 2 |
COMP5349 | Cloud Computing | 6 |
Semester 1 |
Unit Code | Unit Name | CP | Sessions Offered |
COMP5318 | Machine Learning and Data Mining | 6 |
Semester 1 Semester 2 |
COMP5328 | Advanced Machine Learning | 6 |
Semester 2 |
COMP5329 | Deep Learning | 6 |
Semester 1 |
Note: Unspecified Specialisation requires the completion of 18 credit points from the Data Science Specialist units of study table.