Graduate Certificate of Data Engineering

Data Engineering

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Learn to build computing pipelines that transform data

Discounted fees available. Commonwealth Supported Places on offer for domestic students in 2021 (see Fees)

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 part-time in 2021.

Students will complete four (4) courses over this 1-year period. This includes:

One course (6 units) from the following:

  • COMP7230 Introduction to Programming for Data Scientists
  • COMP6730 Programming for Scientists
One course (6 units) from the following:
The following two courses (12 units):
 
For more information please visit Programs & Courses

Apply now for Semester 2 2021. Applications close Monday 12 July 2021.

 

Study plan

Commencing in Semester 1 2021

Example recommended study plan for students commencing in Semester 1:

  • Semester 1 2021: COMP6730 Programming for Scientists AND
    COMP7240 Introduction to Database Concepts* (commencing in March)
  • Semester 2 2021: COMP8430 Data Wrangling AND
    COMP8410 Data Mining* (commencing in August)

*these courses are taught in a 9-week session (4+1+4 weeks), with one full-time intensive week in the middle that students must attend.

 

Commencing in Semester 2 2021

Students commencing in Semester 2 2021 will need to enrol in the winter intensive and summer sessions if they are to complete this program in one year part-time.

Recommended study plan for students commencing the Graduate Certificate of Data Engineering in Semester 2 2021 if they are to complete this program in one year:

  • Winter 2021: COMP7230 - Introduction to Programming for Data Scientists (recommended)
    OR Semester 2 2021: COMP6730 Programming for Scientists
  • Semester 2 2021: COMP6240 Relational Databases
  • Semester 1 2022: COMP8410 Data Mining
  • Summer 2022: COMP8430 Data Wrangling

For semester and study session dates, see the University calendar

 

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.

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. 

Admission requirements:

  • A Bachelor degree with Honours or international equivalent with a minimum GPA of 4/7.
  • Or a Bachelor degree or international equivalent with a minimum GPA of 4/7, with at least one (1) year of relevant work experience.
  • Or a Bachelor degree or international equivalent with a minimum GPA of 5/7.

Cognate disciplines include: Actuarial Studies, Anthropology, Computer Science, Criminology, Demography/Population Studies, Engineering, Epidemiology/Public Health, Finance, Information Technology, Maths, Physics, Political Science, Psychology, Sociology, Statistics.

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

Fees and Commonwealth Supported Places

Applicants offered a place to study in this Graduate Certificate commencing their studies in 2021 will be eligible for a Commonwealth Supported Place (CSP) under the Job Ready Graduate scheme.  This fee will apply to courses completed in this Graduate Certificate within 2021 and the first half of 2022, allowing you to study part-time. If you do not complete the degree by mid-2022 the remainder of your subjects will be billed on a full-fee basis from Semester 2 (Winter/Spring) 2022.

Fees are determined and charged at the individual course level. 

More information:

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 2021 close Monday 12 July 2021.

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 Engineering: 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.

 

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Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing