Note: This course version is currently under review and is subject to change.
ProgramsSCSCS(PG)DataSciMaster of Data Science (2023)
Show information forcommencing students (ie. started First Year then).
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Year 1 - Semester 1
| SITS Diet Block/Type | CP | Unit of Study/Unit Block |
| 6 | COMP5310: Principles of Data Science | |
| 6 | STAT5003: Computational Statistical Methods | |
List | 12 | Select from 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.
Year 1 - Semester 2
| SITS Diet Block/Type | CP | Unit of Study/Unit Block |
| 6 | COMP5048: Visual Analytics | |
| 6 | INFO5990: Professional Practice in IT | |
| 12 | Select from 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. |
Year 2 - Semester 1
| SITS Diet Block/Type | CP | Unit of Study/Unit Block |
| 6 | INFO5992: Understanding IT Innovations | |
| 6 | Data Science Specialisation Units | |
| 12 | Select from 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 |
Requirements for this Pathway
| Type | CP | CP From |
| 18 | Select from COMP5318: Machine Learning and Data Mining COMP5328: Advanced Machine Learning COMP5329: Deep Learning |
In your enrolment portal, please choose the 18cp of Specialisation units from the relevant specialisation collection.
1. Specialisation in Data Engineering
| Type | CP | CP From |
| 18 |
Select from
COMP5338: Advanced Data Models COMP5339: Data Engineering COMP5349: Cloud Computing |
|
| View complete Program Structure | ||
Note: In your enrolment portal, please choose the 18cp of Specialisation units from the relevant specialisation collection.
2. Specialisation in Machine Learning
| Type | CP | CP From |
| 18 |
Select from
COMP5318: Machine Learning and Data Mining COMP5328: Advanced Machine Learning COMP5329: Deep Learning |
|
| View complete Program Structure | ||
Note: In your enrolment portal, please choose the 18cp of Specialisation units from the relevant specialisation collection.
3. Unspecified Specialisation
| 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. |
|
| View complete Program Structure | ||
Note: In your enrolment portal, please choose the 18cp of Specialisation units from the relevant specialisation collection.
Block 1 - Data Science Core Units (Min CP: 18,Max CP: 18)
| 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 |
Block 2 - Professional Core Units (Min CP: 12,Max CP: 12)
| 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 |
Block 3 - Data Science Specialisation Units (Min CP: 18,Max CP: 30)
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.
Block 4 - Data Science Foundation Units (Max CP: 12)
Block 5 - Data Science Elective Units (Max CP: 12)
Block 6 - Data Science Project and Research Units (Min CP: 12,Max CP: 24)
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.
Block 7 - Specialisation - Data Engineering (Max CP: 18)
| 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 |
Block 8 - Specialisation - Machine Learning (Max CP: 18)
| 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 |
Block 9 - Specialisation - Unspecified Specialisation (Max CP: 18)
Note: Unspecified Specialisation requires the completion of 18 credit points from the Data Science Specialist units of study table.
| Course: | Master of Data Science (2023) |
| 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 |
| Requirements: | Summary Students must complete 72 credit points as follows: (a) for the Professional Pathway: ► 18 credit points of Data Science Core units ► 12 credit points of Professional Core units ► 12 credit points of Capstone project units ► A minimum of 18 credit points of Specialisation units or Data Science Specialist units ► A maximum of 12 credit points of Elective or Foundation units (b) for the Research Pathway: ► 18 credit points of Data Science Core units ► 12 credit points of Professional Core units ► 24 credit points of Research pathway units ► 18 credit points of Specialisation units of study or Data Science Specialist units ► no credit points of Elective or Foundation units The completion of a specialisation is not mandatory. If a student chooses to do a specialisation, it must be completed within the Specialist units credit points described above. Faculty Resolutions Details of relevant Faculty resolutions are available via the university handbook site at: http://sydney.edu.au/handbooks/ |
