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

STAT7038 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.

Applicants must present one of the following:

• 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.

The GPA for a Bachelor program will be calculated from (i) a completed Bachelor degree using all grades and/or (ii) a completed Bachelor degree using all grades other than those from the last semester (or equivalent study period) of the Bachelor degree. The higher of the two calculations will be used as the basis for admission.

English Language Proficiency: All applicants must meet the University's English Language Admission Requirements. Further information: English language admission requirements and post-admission support

Assessment of qualifications: Unless otherwise indicated, ANU will accept all Australian Qualifications Framework (AQF) qualifications or international equivalents that meet or exceed the published admission requirements of our programs, provided all other admission requirements are also met.

Where an applicant has more than one completed tertiary qualification, ANU will base the assessment on the qualification that best meets the admission requirements for the program. Find out more about the Australian Qualifications Framework: www.aqf.edu.au.

Unless otherwise indicated, where an applicant has more than one completed tertiary qualification, ANU will calculate the GPA for each qualification separately. ANU will base the assessment on the best GPA of all completed tertiary qualifications of the same level or higher.

ANU uses a 7-point Grade Point Average (GPA) scale. All qualifications submitted for admission at ANU will be converted to this common scale, which will determine if an applicant meets our published admission requirements. Find out more about how a 7-point GPA is calculated for Australian universities: www.uac.edu.au/future-applicants/admission-criteria/tertiary-qualifications.

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.

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.