Postgraduate Coursework
Graduate Certificate of Data Science
2019
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UDASC1
The Graduate Certificate of Data Science will further develop your technical and analytical skills needed to manage and interpret useful insights from massive data sets.
This qualification complements the following multi-disciplinary areas:
- computer science
- information technology
- information systems
- statistics
- mathematics
- engineering or a program with substantial quantitative competencies.
Your coursework will also include a project-based assessment giving you the freedom to focus on what you are passionate about.
Career opportunities
Graduating from this course may lead to careers as a business analyst, data scientist, data analyst, data engineer and data manager.
Credit transfers & pathways
Pathways for Higher Education to Higher Education
For information about credit transfer available to students with complete or incomplete study at this or other Institutions refer to Pathways for Higher Education to Higher Education
For further information on credit transfer and how to apply visit ASK CDU
Course fees
Non-Commonwealth supported places
Full fee paying places are available in this course.
Information about fees and charges can be found at Fees and Payments, Tuition Fee and 2018 HE Units and Fees.
2019 HE unit fees will be published no later than 1 December 2018.
International full fees
See the Office of International Services for details on International Course Fees: www.cdu.edu.au/international/future-students/courses.
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This course is accredited by the University in accordance with the Higher Education Standards.
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Australian qualification framework
This course is recognised in the Australian Qualifications Framework at Level 8.
Contact details
For further information about the course, enrolment procedures, closing dates and other administrative issues please contact Student Central on:
Course structure
The course consists of core units, specialist elective units and elective units. This course is available externally by distance learning for those who are not able to attend classes on campus on a regular basis. Access to the internet is required for distance learning, with access to high speed broadband highly recommended.
2019 HE unit offerings will be published on 1 October 2018.
2019 HE unit fees will be published no later than 1 December 2018.
Always refer to the Course Catalogue for the latest information about your course prior to enrolment.
A candidate must successfully complete units totalling 40 credit points (cp) as detailed below. All units are valued at 10 credit points unless indicated.
| Unit type | Credit Points | Specific requirements |
|
Core Units (3 units) |
30cp |
Compulsory Core units totalling 30 credit points as detailed below.
PRT563 Advanced Data Management (replaces PRT561 from 2019) |
|
Specialist Elective (1 unit) |
10cp |
Specialist Elective unit totalling 10 credit points selected from the following units.
BUS501 Decision Making |
| 40cp | Total Credit Points |
Students who commenced in or after 2013
The grade of "PC" cannot be counted towards a Graduate Certificate AQF Level 8 course award.
Students should refer to the current Grading Policy and Common Course Rules for further information.
Study plan
2019 HE unit offerings will be published on 1 October 2018.
2019 HE unit fees will be published no later than 1 December 2018.
Always refer to the Course Catalogue for the latest information about your course prior to enrolment.
Students commencing in Semester 1 - Part time
The Recommended Study Plan provided below is suitable for a student commencing in semester 1 and enrolling in a part time load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.
| Legend: | CO = Core Unit | SE = Specialist Elective |
| Semester 1 | Semester 2 | ||
| Year 1 | |||
| PRT564 Data Analytics and Visualisation (replaces PRT562) | CO | PRT563 Advanced Data Management (replaces PRT561) | CO |
| BIS551 Business Intelligence and Data Mining | CO | Specialist Elective | SE |
Students commencing in Semester 2 – Part time
The Recommended Study Plan provided below is suitable for a student commencing in semester 2 and enrolling in a part time load. Students entering this course with advanced standing, or wishing to reduce or vary their study plan due to work, personal, financial or other reasons should use the table as a guide to create an individual study plan.
| Legend: | CO = Core Unit | SE = Specialist Elective |
Apply to SATAC for postgraduate studies
Are you applying as an International Student?
Everything you need to know to apply
How to apply for international students
Applications to CDU must be submitted online.
The process is simple, all you need is a valid email address to create your online account.
Once you have started the application you will have the option of saving your application and resuming it at a later date.
There is no application fee when you apply online.
Find a CDU agent partner
Applicants may seek further information about international education in Australia from the Australian Government Department of Education and Training or from our overseas / external representatives.
To help with the process, we've compile a list of authorised representatives.
Not sure if you are a domestic or international student?
That's OK - it can be a little tricky to know the difference.
To help you out, we've put together a guide to answer any questions you might have.
Things like the difference between domestic and international students or the difference between course types like VET and undergraduate.
Are you applying as a Domestic Student?