single degree

Graduate Certificate of Applied Data Analytics

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

GCADATAN
  • Minimum 24 Units
  • Mode of delivery
    • In Person
  • Field of Education
    • Information Technology
  • Academic contact
  • Minimum 24 Units
  • Mode of delivery
    • In Person
  • Field of Education
    • Information Technology
  • Academic contact

Program Requirements

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

A minimum of 24 units from completion of courses from the following lists. These 24 units must consist of:

A minimum of 6 units from the Computing list

A minimum of 6 units from the Statistics list

A maximum of 6 units from the Sociology list

Computing list

COMP6240 Relational Databases

COMP6730 Programming for Scientists

COMP7230 Introduction to Programming for Data Scientists

COMP7240 Introduction to Database Concepts


Statistics list

STAT6038 Regression Modelling

STAT7055 Introductory Statistics for Business and Finance


Sociology list

SOCR8201 Introduction to Social Science Methods and Types of Data

SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy

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

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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
$19,194.00

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 proliferation of new technologies is creating data faster than ever before. Organisations are using data and AI to improve operations and services, and using data analytics to improve business outcomes. Data analysts source and analyse data from many different sources, and work with experts across different domains to solve different types of problems. Data analysts go on to work in a wide range of professional settings, from public health to national security, from education to consumer and business services.

 

The Graduate Certificate of Applied Data Analytics comprises the equivalent of 0.5 years of full-time study. The program is taught in person. In addition to semester based teaching, the courses are offered with intensive teaching. This comprises 4 weeks online, 1 week intensive teaching on campus, and a further 4 weeks online. The curriculum has been designed with every expectation that students attend the one week intensive teaching on campus.

 

This program is available to Domestic students only, and so it has no CRICOS code.

 

 

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, 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.

Inherent Requirements

Information on inherent requirements for this program is currently not available.

Further Information

General program information

 

This program is an interdisciplinary program which has been designed to support professionals from a range of industry sectors who are interested in developing skills, or reskilling, in the area of data analytics. Students are not required to have a background in Computer Science. Students are expected to have an interest in data analytics and typically have experience working with data.  


This program is a standalone qualification but can also be used as pathway to further postgraduate study at the Graduate Diploma and Masters levels. For detailed information on potential destination programs offered by the Australian National University please check the Programs and Courses catalogue or, for quick links to programs offered by the College of Engineering and Computer Science visit https://cecs.anu.edu.au/study/dataanalytics.


Applicants are encouraged to check individual course information, including prerequisites and assumed knowledge. Admission to the program does not guarantee enrolment in a specific course. Enrolment in each course is subject to meeting individual course entry requirements. Course conveners reserve the right to request evidence that prerequisites and background knowledge has been met.


Please visit the ANU Programs & Courses catalogue to check class scheduling information and mode of delivery (online or in person).

 

GC Applied Data Analytics - pathway to Masters

 

The Graduate Certificate of Applied Data Analytics can be used as pathway to Masters study. For information on potential destination Masters programs please check the Programs and Courses catalogue or, visit https://cecs.anu.edu.au/study/dataanalytics . Students using this program as a pathway to a destinations Masters program are encouraged to seek academic advice from the CECS Students Services Office prior to finalising their application for admission, or at any time during the degree.

 

Pathway 1: Application to the destination Masters program upon completion of the Graduate Certificate

  • Student should re-apply for admission to ANU through the relevant application portal.
  • Students will be eligible for up to 24 units of credit from the Graduate Certificate of Applied Data Analytics towards the destination Graduate Diploma or Masters degree (Graduate Diploma of Applied Data Analytics or the Masters of Applied Data Analytics degree).
  • If the student has undertaken an approved variation of the Graduate Certificate study plan, then the amount of credit will depend on the program requirements of the destination Graduate Diploma or Masters program and a case-by-case assessment by the program convener. Students should discuss credit with the convener of the destination degree when making enrolment choices for the Graduate Certificate.

 

Pathway 2: Degree transfer from the Graduate Certificate before completion of the Graduate Certificate

 

Students also have the option of applying for degree transfer into the destination Graduate Diploma or Master program if they satisfy all of the following conditions:

  • The overall GPA requirements for admission to the destination Graduate Diploma or Masters degree are satisfied from a previous qualification, and
  • The cognate requirements are satisfied, including any GPA requirements, to the destination Graduate Diploma or Masters degree are satisfied, and
  • Any other requirements listed in the admissions requirements of the destination Graduate Diploma or Master degree are also satisfied.

 

Note:

  • Students will be eligible for up to 24 units of credit for courses completed in the Graduate Certificate of Applied Data Analytics towards the destination Graduate Diploma or Masters degree (Graduate Diploma of Applied Data Analytics or the Masters of Applied Data Analytics degree).
  • If the student has undertaken an approved variation of the Graduate Certificate study plan, then the amount of credit will depend on the program requirements of the destination Graduate Diploma or Masters program and a case-by-case assessment by the program convener. Students should discuss credit with the convener of the destination degree when making enrolment choices for the Graduate Certificate.
  • Students that progress to Graduate Diploma or Masters through degree transfer will not be awarded nor receive a testamur for the Graduate Certificate of Applied Data Analytics. They will be invited to attend a conferral of award ceremony upon successful completion of their Graduate Diploma or Masters degree and will receive a testamur for this qualification.

 

Credit for courses completed in the Graduate Certificate

Any credit applied will reduce the overall duration of the destination Masters program by an equivalent number of units.

 

For more information on this program, please contact marketing.cecs@anu.edu.au.

 

Additional information on this program and pathway to Masters can be found at https://cecs.anu.edu.au/study/dataanalytics .


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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