Faculty of Engineering

School of Computer Science

Graduate Diploma in Data Science (2025)


Note: This course version applies only to students first enrolling in 2025.
WARNING: This course version is currently under review and is subject to change.


1. Overview

Course: Graduate Diploma in Data Science (2025)
CP Required: 48
Min FT Duration: 1.00 Years
Min PT Duration: N/A
Faculty/School: School of Computer Science
Years Offered: 2026, 2025, 2024, 2023

2. Requirements

Summary

Students must complete 48 credit points as follows:

► A minimum of 12 credit points of Data Science Core units of study

► A minimum of 6 credit points of Professional Core units of study

► A minimum of 12 credit points of Data Science Specialist units of study

► A maximum of 12 credit points of Foundation or Elective units of study

Faculty Resolutions

Details of relevant Faculty resolutions are available via the university handbook site at: http://sydney.edu.au/handbooks/

3. Semesters

Year 1 - Semester 1

Type CP CP From
List
12 Select from Unit Blocks:
Data Science Specialist Units
Data Science Foundation Units
Data Science Elective Units


Note: Students intending to do Research Pathway in Masters are advised to enrol in Specialist units instead
6 Select from STAT5003: Computational Statistical Methods
6 Select from COMP5310: Principles of Data Science

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.

Students who achieve a WAM of 65% or greater after completing 24CP in Semester 1 can apply for an upgrade to the Masters ( https://www.sydney.edu.au/students/change-course/allowable-transfers.html) Otherwise, they may also apply after Semester 2.

Year 1 - Semester 2

Type CP CP From
List
12 Select from Unit Blocks:
Professional Core Units
Data Science Specialist Units
or other units.

Note: Students intending to do Research Pathway in Masters are advised to enrol in Professional Core unit INFO5992 Understanding IT Innovations
6 Select from INFO5990: Professional Practice in IT
6 Select from COMP5048: Visual Analytics

4. Pathways

No streams/majors defined for this course version.

5. Unit Blocks

Block 1 - Data Science Core Units (Min CP: 12,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: 6,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: 12,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

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
COMP9123 Data Structures and Algorithms 6 Semester 1
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
CSYS5030 Information Theory and Self-Organisation 6 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