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Faculty of EngineeringSchool of Computer Science |
Course: | Graduate Diploma in Data Science 2023+ (2023) |
CP Required: | 48 |
Min FT Duration: | 1.00 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
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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 |
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.
Type | CP | CP From |
6 |
Select from
COMP5048: Visual Analytics |
|
6 |
Select from
INFO5990: Professional Practice in IT |
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List
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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 |
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 |
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 |