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Graduate Certificate in Data Science (ITC102.1)
Please note these are the 2026 details for this course
| Selection rank | Delivery mode | Location | Duration |
|---|---|---|---|
| On campus Online |
Bruce, Canberra |
0.5 years | |
| Faculty | Discipline(s) | Available teaching periods | UAC code |
| Faculty of Science and Technology | Academic Program Area - Technology |
View teaching periods | |
| Fees | English language requirements | ||
|
|
View requirements | ||
English language requirements
An IELTS Academic score of 6.5 overall, with no band score below 6.0 (or equivalent).
Delivery mode
Blended: Mixture of online and on campus units are available.
On campus: Units are delivered on campus.
Online: All units are online.
Online Plus: Units are available online, except where attendance at a physical location is required for placement or professional accreditation.
Location
All course material is developed and delivered via the location listed. Online units do not require on campus attendance.
Selection rank
The selection rank is the minimum ATAR plus adjustment factors required for admission to the program in the previous year. This is an indicative guide only as ranks change each year depending on demand.
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 | Delivery mode | Location | Duration |
|---|---|---|---|
| On campus |
Bruce, Canberra |
0.5 years | |
| Faculty | Discipline(s) | Available teaching periods | CRICOS code |
| Faculty of Science and Technology | Academic Program Area - Technology |
View teaching periods | 114088F |
| Fees | English language requirements | ||
|
|
View requirements | ||
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.
Delivery mode
Blended: Mixture of online and on campus units are available.
On campus: Units are delivered on campus.
Online: All units are online.
Online Plus: Units are available online, except where attendance at a physical location is required for placement or professional accreditation.
English language requirements
An IELTS Academic score of 6.5 overall, with no band score below 6.0 (or equivalent).
Location
All course material is developed and delivered via the location listed. Online units do not require on campus attendance.
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.
Remain relevant in a data-driven world
UC's new, 100% online Graduate Certificate of Data Science is your ticket to remaining relevant in today's data-driven world. Over the course of the certificate, you'll gain a solid understanding of data science fundamentals including statistics, data analysis, data preparation and data visualisation.
Taught by expert academics, you'll develop your capacity to address complex issues with data-based solutions. You'll be trained to consider both the ethical and technological implications of data reporting and apply your knowledge to real-world examples.
No matter your industry, you'll gain foundational data science skills that can be applied across a diverse range of industries and roles. From health and education to social media and sales, understanding data can unlock insights and patterns that can improve your work.
This certificate offers an immersive, 100% online learning experience, giving you the convenience to manage your study, work and life commitments. Study options include full-time, which can be completed in as little as four months, or part-time study which can be completed in just eight months.
Further your studies
Thinking about upgrading your qualifications? The Graduate Certificate of Data Science can serve as a foundation for further study, with credit applied to UC's Master of Data Science or other postgraduate Technology qualifications.
Study a Graduate Certificate of Data Science and you will:
- Learn to identify trends and anomalies within complex data sets.
- Understand, analyse and communicate data insights.
- Explore data analysis, graphical interpretation and modelling techniques.
- Develop a problem-solving mindset and address complex issues with data-based solutions.
- Apply data-driven solutions to real-world situations.
- Gain transferable skills relevant to a wide range of industries.
- Consider the ethical considerations of data reporting and analysis.
- Access UC's digital resources, materials and support services.
Study your way
Enjoy the freedom of choice: select the online study mode for self-paced learning and optimal study-work-life balance, or on-campus study mode for face-to-face classes.
Career outcomes
- Data Scientist
- Data Engineer
- Data Analyst
- Statistician
Progress your career with a Graduate Certificate in Data Science
Discover how you can study data science online by downloading your free course brochure.
Download your free course brochure
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
| Year | Location | Teaching period | Teaching start date | Domestic | International |
|---|---|---|---|---|---|
| 2026 | Bruce, Canberra | Semester 1 | 02 February 2026 | ||
| 2026 | Bruce, Canberra | Semester 2 | 27 July 2026 |
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 0.5 years full time or part-time equivalent. Maximum 3 years from date of enrolment to date of course completion.
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. |
| 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. |
| 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. |
Awards
| Award | Official abbreviation |
|---|---|
| Graduate Certificate in Data Science | GradCert DataSc |
Honours
None.
Enquiries
| Student category | Contact details |
|---|---|
| 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 |
| Prospective International Students | Email international@canberra.edu.au or Phone +61 2 6201 5342 |
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