1. Overview

Course:	Master of Data Science (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

2. 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/

3. Semesters

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.

4. Pathways

1. Specialisation in Data Engineering

Type	CP	CP From
Specialisation - Data Engineering	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.

2. Specialisation in Machine Learning

Type	CP	CP From
Specialisation - Machine Learning	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.

3. Unspecified Specialisation

Type	CP	CP From
Data Science Specialist Units	18	Select from Unit Block Data Science Specialist 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.

5. Unit Blocks

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 Specialist Units (Min CP: 18,Max CP: 30)

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.

Block 4 - Data Science Foundation Units (Max CP: 12)

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

Block 5 - Data Science Elective Units (Max CP: 12)

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

Block 6 - Data Science Project and Research Units (Min CP: 12,Max CP: 24)

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.

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.