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.
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.
Indicative fees
Domestic Tuition Fees (DTF)
For more information see: http://www.anu.edu.au/students/program-administration/costs-fees
- Annual indicative fee for international students
- $25,380.00
For further information on International Tuition Fees see: https://www.anu.edu.au/students/program-administration/fees-payments/international-tuition-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.
Please note that some of the courses specified in the Graduate Certificate of Applied Data Analytics program will not be offered in intensive mode in 2024 and depending on enrolments may not be offered in intensive mode in 2025 either. Students will need to complete the approved alternative courses listed below on-campus in standard semester schedules, that may include in-person examinations and tutorials.
· COMP7240 Introduction to Database Concepts (intensive) replaced with COMP6240
· COMP7230 Introduction to Programming for Data Scientists (intensive) replaced with COMP6730
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.
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
- 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.
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://comp.anu.edu.au/study/ .
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://comp.anu.edu.au/study/ . For more information about this program, using blended intensive courses in your study, and the pathway to Masters can be found at https://comp.anu.edu.au/study/data-programs/ .
. 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.
For more information about this program, using blended intensive courses in your study, and the pathway to Masters can be found at https://comp.anu.edu.au/study/data-programs/
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.
