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single degree

Graduate Certificate of Data Engineering

A single graduate degree offered by the ANU College of Engineering and Computer Science

GCDENG
  • Minimum 24 Units
  • Mode of delivery
    • Online
  • Field of Education
    • Computer Engineering
  • Academic contact
  • Minimum 24 Units
  • Mode of delivery
    • Online
  • Field of Education
    • Computer Engineering
  • Academic contact

Program Requirements

The Graduate Certificate of Data Engineering requires the completion of 24 units which must include:

6 units from completion of one of the courses from the following list:

COMP7230 Introduction to Programming for Data Scientists

COMP6730 Programming for Scientists


6 units from completion of one of the courses from the following list:

COMP7240 Introduction to Database Concepts

COMP6240 Relational Databases


12 units from completion of the following courses:

COMP8410 Data Mining

COMP8430 Data Wrangling

Admission Requirements

This program is only open to Domestic students

A Bachelor degree with Honours or international equivalent with a minimum GPA of 4.0/7.0

Or a Bachelor degree or international equivalent with a minimum GPA of 4.0/7.0, with at least 1 year of relevant work experience.

Or a Bachelor degree or international equivalent with a minimum GPA of 5.0/7.0.


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

Credit Granted

Credit is not available for this program.

Cognate Disciplines

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

Annual indicative fee for domestic students
$18,855.00

For more information see: http://www.anu.edu.au/students/program-administration/costs-fees

Fee Information

All students are required to pay the Services and amenities fee (SA Fee)

The annual indicative fee provides an estimate of the program tuition fees for international students and domestic students (where applicable). The annual indicative fee for a program is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units). Fees for courses vary by discipline meaning that the fees for a program can vary depending on the courses selected. Course fees are reviewed on an annual basis and typically will increase from year to year. The tuition fees payable are dependent on the year of commencement and the courses selected and are subject to increase during the period of study.

For further information on Fees and Payment please see: https://www.anu.edu.au/students/program-administration/fees-payments

Scholarships

ANU offers a wide range of scholarships to students to assist with the cost of their studies.

Eligibility to apply for ANU scholarships varies depending on the specifics of the scholarship and can be categorised by the type of student you are.  Specific scholarship application process information is included in the relevant scholarship listing.

For further information see the Scholarships website.

The rapid expansion of the digital environment has increased the opportunity for data-driven innovation. Data engineers build computing pipelines that transform data into

formats that tools and 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.

The Graduate Certificate in Data Engineering comprises the equivalent of 0.5 years of full-time study. The program is taught online in intensive blended mode. Students are expected to be enrolled part-time and can complete the program in 1 year of part time study.


This program is available to Domestic students only.

Career Options

ANU ranks among the world's very finest universities. Our nearly 100,000 alumni include political, business, government, and academic leaders around the world.

We have graduated remarkable people from every part of our continent, our region and all walks of life.

Learning Outcomes

  1. Apply basic technical expertise in computer programming and databases to solve data engineering problems;

  2. Contribute as an effective member to the performance of a data focused workplace.

Inherent Requirements

Information on inherent requirements for this is currently not available.

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