single degree

Graduate Certificate of Applied Data Analytics

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

GCADATAN
  • Minimum 24 Units
  • Academic plan CADAN
  • CRICOS code NO CRICOS
  • Field of Education
    • Mathematical Sciences NEC
  • Minimum 24 Units
  • Academic plan CADAN
  • CRICOS code NO CRICOS
  • Field of Education
    • Mathematical Sciences NEC

Program Requirements

The Graduate Certificate of Applied Data Analytics requires the completion of 24 units, which must consist of:

24 units from completion of the following compulsory courses:

COMP7230 Introduction to Programming for Data Scientists

COMP7240 Introduction to Database Concepts

STAT7001 Applied Statistics

STAT7055 Introductory Statistics for Business and Finance

Admission Requirements

The Graduate Certificate of Applied Data Analytics is an exit Award only and is not available for direct admission.

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 Graduate Certificate of Applied Data Analytics is only available as an exit qualification for students enrolled in the Graduate Diploma or Master of Applied Data Analytics.

Career Options

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.

The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

Learning Outcomes

Upon successful completion, students will have the skills and knowledge to:

  1. Apply basic technical expertise in computer programming, databases, and statistical data analysis to solve data analytics problems;
  2. Contribute as an effective member to the performance of a data analytics workplace;
  3. Be able to work to specification and according to a deadline, document tasks undertaken, and report outcomes to a third party.

Further Information


Students will need to install certain free software packages in order to successfully complete COMP7230. Please see the ‘Additional Information’ section on course information page.
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