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Graduate Certificate in Data Science (ITC102.1)
Please note these are the 2025 details for this course
| Selection rank | English language requirements | Duration | UAC code |
|---|---|---|---|
| 0.5 years | |||
| Faculty | Discipline(s) | Location | Available teaching periods |
| Faculty of Science and Technology | Academic Program Area - Technology |
Bruce, Canberra UC - Canberra, Online |
View teaching periods |
Fees
English language requirements
An IELTS Academic score of 6.5 overall, with no band score below 6.0 (or equivalent).
Fees disclaimer
Annual fee rates
The fees shown are the annual fee rates for the course. The annual rate is the fee that applies to standard full-time enrolment, which is 24 credit points. The final fee charged is based on the proportion of 24 credit points in which a student enrols. Students enrolled in a Commonwealth Support Place (CSP) are required to make a contribution towards the cost of their education, which is set by the Commonwealth Government. Information on Commonwealth Supported Places, HECS-HELP and how fees are calculated can be found here.
Please note: Course fees are assessed annually and are subject to change.
| Academic entry requirements | English language requirements | CRICOS code | Faculty |
|---|---|---|---|
| Faculty of Science and Technology | |||
| Discipline(s) | Location | Available teaching periods | Duration |
| Academic Program Area - Technology |
View teaching periods | 0.5 years |
Fees
Fees disclaimer
Annual fee rates
The fees shown are the annual fee rates for the course. The annual rate is the fee that applies to standard full-time enrolment, which is 24 credit points. The final fee charged is based on the proportion of 24 credit points in which a student enrols. Information on how fees are calculated can be found here.
Please note: Course fees are assessed annually and are subject to change.
English language requirements
An IELTS Academic score of 6.5 overall, with no band score below 6.0 (or equivalent).
Academic entry requirements
To study at UC, you’ll need to meet our academic entry requirements and any admission requirements specific to your course. Please read your course admission requirements below. To find out whether you meet UC’s academic entry requirements, visit our academic entry requirements page.
The Graduate Certificate in Data Science is a transition postgraduate course aimed at graduates from any discipline. It is also an entry and exit point for Master of Data Science. If you're a graduate looking to explore a Data Science career then the Graduate Certificate in Data Science is the perfect course from which to learn new skills, gain a practical qualification and give your career the much needed boost it deserves. In this course, you will delve into various aspects of the data science field and gain the knowledge to arm yourself with exceptional insights and understanding into the impact of data in different areas, and gain proficiency in seeking career opportunities in this rapidly advancing industry.
100% online study
Study when and where you like, as this degree can be studied 100% online. You’ll be able to collaborate with your classmates, connect with our expert academics, access support services and enjoy UC’s future-focused learning material from anywhere in the world with an internet connection. Graduate with the skills, knowledge and connections to confidently pursue your career path of choice. For more information, submit an enquiry today.
Professional accreditation
None.
Applicants must have an Australian Bachelor degree in any field or equivalent.
Additional admission requirements
NOTE: For Graduate Certificate in Data Science full time admission only available in Semester 1 and part-time admission only available in Semester 2.
Assumed knowledge
Year 12 mathematics and functional knowledge of using computer systems.
Periods course is open for new admissions
Credit arrangements
There are currently no formal credit transfer arrangements for entry to this course. Any previous study or work experience will only be considered as part of the application process in accordance with current course rules and university policy.
Graduate Certificate in Data Science (ITC102) | 12 credit points
In addition to course requirements, in order to successfully complete your course you must meet the inherent requirements. Please refer to the inherent requirements statement applicable to your course
UC - Canberra, Bruce
Course duration
Standard 1 semester full time or part time equivalent. The maximum duration is 3 years.
Learning outcomes
| Learning outcomes | Related graduate attributes |
|---|---|
| Communicate theoretical and technical data science concepts, information, and ideas to a variety of audiences using appropriate media. | UC graduates are professional: Communicate effectively; use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems; display initiative and drive, and use their organisational skills to plan and manage their workload; take pride in their professional and personal integrity. UC graduates are global citizens: Adopt an informed and balanced approach across professional and international boundaries; understand issues in their profession from the perspective of other cultures; make creative use of technology in their learning and professional lives. UC graduates are lifelong learners: Reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development; evaluate and adopt new technology. |
| Critically analyse and interpret mathematical and statistical data and other data science information to investigate and solve complex problems. | UC graduates are professional: Employ up-to-date and relevant knowledge and skills; communicate effectively; use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems; work collaboratively as part of a team, negotiate, and resolve conflict; display initiative and drive, and use their organisational skills to plan and manage their workload; take pride in their professional and personal integrity. UC graduates are global citizens: Think globally about issues in their profession; adopt an informed and balanced approach across professional and international boundaries; understand issues in their profession from the perspective of other cultures; make creative use of technology in their learning and professional lives; behave ethically and sustainably in their professional and personal lives. UC graduates are lifelong learners: Reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development; evaluate and adopt new technology. |
| Evaluate and apply common programming, modelling, data management, data visualisation, and data mining tools as appropriate to the data, task and/or environment. | UC graduates are professional: Employ up-to-date and relevant knowledge and skills; use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems; work collaboratively as part of a team, negotiate, and resolve conflict; display initiative and drive, and use their organisational skills to plan and manage their workload; take pride in their professional and personal integrity. UC graduates are global citizens: Think globally about issues in their profession; adopt an informed and balanced approach across professional and international boundaries; understand issues in their profession from the perspective of other cultures; make creative use of technology in their learning and professional lives; behave ethically and sustainably in their professional and personal lives. UC graduates are lifelong learners: Reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development; evaluate and adopt new technology. |
| Develop specialised knowledge of data science principles, concepts, and tools. | UC graduates are professional: Employ up-to-date and relevant knowledge and skills; communicate effectively; use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems; work collaboratively as part of a team, negotiate, and resolve conflict; display initiative and drive, and use their organisational skills to plan and manage their workload; take pride in their professional and personal integrity. UC graduates are global citizens: Think globally about issues in their profession; adopt an informed and balanced approach across professional and international boundaries; understand issues in their profession from the perspective of other cultures; make creative use of technology in their learning and professional lives. UC graduates are lifelong learners: Evaluate and adopt new technology. |
Awards
| Award | Official abbreviation |
|---|---|
| Graduate Certificate in Data Science | GradCert DataSc |
Honours
None.
Enquiries
| Student category | Contact details |
|---|---|
| Prospective International Students | Email international@canberra.edu.au or Phone +61 2 6201 5342 |
| Prospective Domestic Students | Email study@canberra.edu.au or Phone 1800 UNI CAN (1800 864 226) |
| Current and Commencing Students | In person, Student Centre Building 1 or Email Student.Centre@canberra.edu.au |
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