Graduate Certificate of Data Engineering

Graduate Certificate of Data Engineering
Explore Your Future

Skill up, retrain and gain vital new knowledge from some of the world's best teachers, with our new short online programs offered as part of the Australian Government’s higher education relief package for workers who have been impacted by COVID-19.

This new online course will teach you how to harness data for important innovations. This program equips graduates with the knowledge we need to be smarter with our data, especially as it is used to help drive important decisions for our health and wellbeing.

"Data not only helps tell the story of the world around us, but shows us what we need to know to improve our world,” said convener Dr Qing Wang.

"This includes the current COVID-19 crisis where massive amounts of data is being used to help the world track the spread of the coronavirus.”

The rapid expansion of the digital environment has increased the opportunity for data-driven innovation. This program will provide the skills necessary to build computing pipelines that transform that data into formats that data analysts can use.  
 
Data engineers work in a wide range of professional settings, from public health to national security, from education to consumer and business services.

For interested students, this Graduate Certificate provides a pathway to some of our Master programs.

This program is available to domestic students only.

Program outline

This program is designed to be delivered online and completed full-time over Semester 2 2020.

Students will complete four (4) courses over this period:

  • COMP7230 Introduction to Programming for Data Scientists
  • COMP7240 Introduction to Database Concepts
  • COMP8410 Data Mining
  • COMP8430 Data Wrangling 
 
Students will complete COMP7230 and COMP7240 in the first half of the program (July-September 2020), and COMP8410 and COMP8430 in the second half of the program (October-November 2020). Exact class dates can be seen on the ‘Class’ tab on the Programs and Courses page for each course.
 
Students will take the Graduate Certificate of Data Engineering students versions of these classes marked ‘GCDE Intensive’.

For more information please visit Programs & Courses

Apply now for Semester 2 2020. Applications close 6 July 2020.

 

Information about learning remotely

All materials are delivered remotely. You will not be required to come to Canberra.

You will need to be available during specified times to participate in remote tutorials and labs. Several tutorial times will be offered and you can attend your nominated session.

Estimated workload for each course is 130 hours of study over the course. This includes (virtual) attendance at classes and working on assessments.

Higher education relief package and fees

This short online program is offered as part of the Australian Government’s higher education relief package for workers who have been impacted by COVID-19.

This program is only open to domestic students who will be eligible for a Commonwealth Supported Place (CSP). 

Fees are available at a subsidised rate of $2,500 (for 4 courses) for 2020. Only courses enrolled in Semester 2 2020 will receive the subsidised rate. Any courses enrolled in from 2021, will revert to the standard CSP rates. 

Fees are determined and charged at the individual course level. 

Admission and eligibility

This program is available for domestic students only. 

Current ANU students are not eligible for this program. If you have previously been an ANU student and have completed that program, then you may apply for this Graduate Certificate. 

A Bachelor degree or international equivalent with a minimum GPA of 4/7. Unfortunately, there are no alternative pathways for prospective students who do not meet the minimum GPA requirement.

All applicants must meet the University’s English Language Admission Requirements for Students.

Prerequisites and prior knowledge

It is possible to complete the Graduate Certificate of Data Engineering without previous computing or IT-related studies.

You do need to make a strong commitment on the courses to follow the requirements and learn computing skills.

How to apply

Applications for this program are completed online. Visit Programs and Courses. The black ‘apply’ button on the top right-hand side of the page will take you to a portal where you can lodge your application. 

Applications for Semester 2 2020 close Monday 6 July 2020.

Successful applicants must accept their offer by Wednesday 22 July 2020.

Credit

Credit is not available for these programs. If you have already completed the undergraduate version of one of the courses listed above, contact the program convener to identify a suitable replacement.

Enrolment

Once you have accepted your offer, you will receive an email with permission codes that allow you to enrol in your courses.

Please allow up to two (2) weeks for your acceptance to be processed and these codes to be sent. If you do not receive permission codes within two (2) weeks of accepting your offer, please contact studentadmin.cecs@anu.edu.au

Students in the Graduate Certificate of Data Engineering are only permitted to enrol in the four courses listed in the study plan. If you have already completed an undergraduate version of one of these courses, please contact the program convener for guidance on a suitable replacement.

Pathways to Masters

For interested students, this Graduate Certificate may be used as a pathway to other ANU postgraduate programs.

A Graduate Certificate is classed as an AQF 8 qualification. In many cases, completing a Graduate Certificate with a GPA of 5/7 will meet the academic entry requirements of most Masters programs. However, it may not necessarily meet a program’s cognate requirement.

As a general guide, students who complete the Graduate Certificate of Data Engineering at ANU may be eligible for the following credit in our Master programs:*

  • Master of Computing: admission with GPA of 5/7 and 24 units credit.
  • Master of Applied Data Analytics: admission with GPA of 5/7 and 24 units credit.
  • Master of Machine Learning and Computer Vision: students will still require a Bachelor degree in a cognate area for admission. Students could use a GPA of 5/7 in the Graduate Certificate for entry, if the GPA from their Bachelor qualification does not meet the academic requirement. 24 units credit.
  • Master of Engineering (all): students will still require a Bachelor degree in a cognate area for admission. Students could use a GPA of 5/7 in the Graduate Certificate for entry, if the GPA from their Bachelor qualification does not meet the academic requirement.
    • Master of Engineering in Mechatronics: 18 units credit.
    • Master of Engineering in Electrical Engingeering: 24 units credit.
    • Other Master of Engineering programs: 12 units credit.

*Please note that this is a guide only. All credit and exemption requests are assessed on a case-by-case basis based on academic background and personal circumstances.

Enquire now
Meet our students

Tuan Tran

Tuan Tran is studying a Master of Engineering in Renewable Energy at The Australian National...

» read more

Pauline Pounds

From flying machines to walking robots, drone designer Pauline Pounds has one of the most...

» read more

Anneshwa Dey

Anneshwa Dey

Anneshwa Dey is a Master of Digital and Telecommunications Engineering student at ANU.

» read more

  • Previous
  • Pause
  • Previous

Updated:  1 June 2019/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing