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Faculty of EngineeringSchool of Computer Science |
Course: | Graduate Certificate in Data Science (2025) |
CP Required: | 24 |
Min FT Duration: | 0.50 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 |
|
12 |
Select from
Unit Block: Data Science Specialist Units |
Note:
Students who achieve a minimum average of 60 have the option to upgrade to Graduate Diploma in Data Science.
Students who achieve a WAM of 65 or greater can request to upgrade to Master of Data Science.
Students can request an upgrade in Sydney Student. Go to ‘My studies’, ‘Course details’, ‘Change your course’ then select ‘Continue’ to view the options available.
Unit Code | Unit Name | CP | Sessions Offered |
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 |
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 |