Graduate Certificate of Applied Data Analytics

Applied Data Analytics

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Learn vital skills in data and analytics

Discounted fees available. Commonwealth Supported Places on offer for domestic students in 2021 (see Fees)

Are you interested in developing skills – or upskilling – in data analytics? Learn alongside Australia’s leading analytic experts and help shape our data-driven future with the Graduate Certificate of Applied Data Analytics. You will gain the analytical skills you need to drive informed and strategic decision-making in one of the fastest growing occupations of our time. Learn from industry-leading data experts who are harnessing the potential of data to solve real-world problems.

This Graduate Certificate can be completed as a standalone postgraduate qualification or used as a pathway to the Master of Applied Data Analytics.

This program is available for direct admission for domestic students only.

It is also available, for both international and domestic students, as an early exit option if you do not wish to pursue further study in the Graduate Diploma or Master of Applied Data Analytics. 

Please visit Programs & Courses for further information.

Study plan

Commencing in Semester 1 2021

This recommended study plan is for students wishing to complete this Graduate Certificate of Applied Data Analytics part-time commencing in Semester 1 2021. These courses are taught in a 9-week session (4+1+4 weeks), with one full-time in person intensive week in the middle that students must attend.

  • Autumn 1 2021: COMP7240 Introduction to Database Concepts*
  • Autumn 2 2021: SOCR8201 Introduction to Social Science Methods and Types of Data*
  • Winter 2021: COMP7230 Introduction to Programming for Data Scientists*
  • Spring 2021: STAT7055 Introductory Statistics for Business and Finance*

Commencing in Semester 2 2021

Students commencing the Graduate Certificate of Applied Data Analytics in Semester 2 2021 will be able to study on either a full-time and part-time basis.

Full-time enrolment will be restricted to COMP6240COMP6730STAT7055SOCR8201.

The following study plan options are for students wishing to complete the Graduate Certificate of Applied Data Analytics part-time commencing in Semester 2 2021.

Option 1: Balanced course options, COMP-leaning study plan

  • Winter 2021: COMP7230 Introduction to Programming for Data Scientists
  • Semester 2 2021: N/A
  • Spring 2021: STAT7055 Introductory Statistics for Business and Finance
  • Autumn 2022: COMP7240 Introduction to Database Concepts
  • Semester 1 2022: N/A
  • Autumn 2022: SOCR8201 Introduction to Social Science Methods and Types of Data

Option 2: Balanced course options, semester-based study plan

  • Winter 2021: N/A
  • Semester 2 2021: COMP6730 Programming for Scientists AND COMP6240 Relational Databases
  • Spring 2021: N/A
  • Summer 2022: N/A
  • Semester 1 2022: STAT7055 Introductory Statistics for Business and Finance
  • Autumn 2022: SOCR8201 Introduction to Social Science Methods and Types of Data

Option 3: COMP and STAT focused, front-loaded study plan

  • Winter 2021: COMP7230 Introduction to Programming for Data Scientists
  • Semester 2 2021: COMP6240 Relational Databases
  • Spring 2021: STAT7055 Introductory Statistics for Business and Finance
  • Summer 2022: N/A
  • Semester 1 2022: N/A
  • Autumn 2022: STAT6038 Regression Modelling

Option 4: COMP and STAT focus, balanced load study plan

  • Winter 2021: N/A
  • Semester 2 2021: COMP6240 Relational Databases
  • Spring 2021: STAT7055 Introductory Statistics for Business and Finance
  • Summer 2022: N/A
  • Semester 1 2022: COMP6730 Programming for Scientists
  • Autumn 2022: STAT6038 Regression Modelling

Option 5: STAT leaning, balanced load study plan

  • Winter 2021: COMP7230 Introduction to Programming for Data Scientists
  • Semester 2 2021: N/A
  • Spring 2021: STAT7055 Introductory Statistics for Business and Finance
  • Summer 2022: N/A
  • Semester 1 2022: SOCR8201 Introduction to Social Science Methods and Types of Data
  • Autumn 2022: STAT6038 Regression Modelling

For semester and study session dates, see the University calendar

Note: there are alternative courses that satisfy the program requirements of the Graduate Certificate of Applied Data Analytics. However, these alternatives include a combination of online and on-campus teaching and assessment. For more information please visit Programs & Courses.

 

Estimated hours

Estimated workload for each course is 130 hours of study over the course. This includes attendance at classes and working on assessments.

Admission and eligibility

This program is available for direct admission for domestic students only.

It is also available, for both international and domestic students, as an early exit option if you do not wish to pursue further sutdy in the Graduate Diploma or Master of Applied Data Analytics. 

Current ANU students are not eligible for this program. If you have previously been an ANU student and have completed that program, then you may apply for this Graduate Certificate. 

Admission requirements:

  • A Bachelor degree with Honours or international equivalent with a minimum GPA of 4/7.
  • Or a Bachelor degree or international equivalent with a minimum GPA of 4/7, with at least one (1) year of relevant work experience.
  • Or a Bachelor degree or international equivalent with a minimum GPA of 5/7.

Cognate disciplines include: Actuarial Studies, Anthropology, Computer Science, Criminology, Demography/Population Studies, Engineering, Epidemiology/Public Health, Finance, Information Technology, Maths, Physics, Political Science, Psychology, Sociology, Statistics.

All applicants must meet the University’s English Language Admission Requirements for Students.

Fees and Commonwealth Supported Places

Applicants offered a place to study in this Graduate Certificate commencing their studies in 2021 will be eligible for a Commonwealth Supported Place (CSP) under the Job Ready Graduate scheme.  This fee will apply to courses completed in this Graduate Certificate within 2021 and the first half of 2022, allowing you to study part-time. If you do not complete the degree by mid-2022 the remainder of your subjects will be billed on a full-fee basis from Semester 2 (Winter/Spring) 2022.

Fees are determined and charged at the individual course level.  

More information:

How to apply

Applications for this program are completed online. Visit Programs and Courses. The black ‘apply’ button on the top right-hand side of the page will take you to a portal where you can lodge your application. 

Credit

Credit is not available for these programs. If you have already completed the undergraduate version of one of the courses listed above, contact the program convener to identify a suitable replacement.

Enrolment

Once you have accepted your offer, you will receive an email with permission codes that allow you to enrol in your courses.

Please allow up to two (2) weeks for your acceptance to be processed and these codes to be sent. If you do not receive permission codes within two (2) weeks of accepting your offer, please contact studentadmin.cecs@anu.edu.au

Students in the Graduate Certificate of Applied Data Analytics are only permitted to enrol in the four courses listed in the study plan. If you have already completed an undergraduate version of one of these courses, please contact the program convener for guidance on a suitable replacement.

Pathways to Masters

For interested students, this Graduate Certificate may be used as a pathway to other ANU postgraduate programs. This includes the Graduate Diploma of Applied Data Analytics and Master of Applied Data Analytics.

A Graduate Certificate is classed as an AQF 8 qualification. In many cases, completing a Graduate Certificate with a GPA of 5/7 will meet the academic entry requirements of most Masters programs. However, it may not necessarily meet a program’s cognate requirement.

*Please note that this is a guide only. All credit and exemption requests are assessed on a case-by-case basis based on academic background and personal circumstances.

 

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Updated:  10 August 2021/Responsible Officer:  Dean, CECS/Page Contact:  CECS Marketing