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
COMP6240 Relational Databases
COMP6730 Programming for Scientists
COMP7230 Introduction to Programming for Data Scientists
COMP7240 Introduction to Database Concepts
STAT6038 Regression Modelling
STAT7055 Introductory Statistics for Business and Finance
SOCR8201 Introduction to Social Science Methods and Types of Data
SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
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 is not available for this program.
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
For more information see: http://www.anu.edu.au/students/program-administration/costs-fees
For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-fees
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
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.. 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.
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.
- Apply basic technical expertise in computer programming, databases, and statistical data analysis to solve data analytics problems;
- Contribute as an effective member to the performance of a data analytics workplace;
- Be able to work to specification and according to a deadline, document tasks undertaken, and report outcomes to a third party.
Information on inherent requirements for this program is currently not available.
Students will need to install certain free software packages in order to successfully complete COMP7230. Please see the ‘Additional Information’ section on course