Australian National University

Graduate Diploma of Applied Data Analytics

  • Delivery: Face to Face
  • Study Level: Postgraduate
  • Duration: 12 months
  • Course Type: Graduate Diploma

Enhance your understanding in three fields: computation, statistics and social science.

Course overview

The Graduate Diploma of Applied Data Analytics is a one year full-time (or equivalent part-time) degree that provides students with exposure to best practice in data analytics, cutting edge courses in areas of relevance to data analytics practitioners, an opportunity to deepen knowledge in one of the three areas of computation, statistics or social science, professional development for practicing data analytics professionals and the opportunity to undertake research of professional relevance.

The program is taught in semester mode and for domestic students, it is also offered in intensive blended mode. Students studying in an intensive blended mode are expected to be enrolled part-time. This program is a standalone qualification but can also be used as a pathway to further postgraduate study at the Master's level.

Key facts

Delivery
Face to Face
Course Type
Graduate Diploma
Duration
More Information
Can be studied part time
12 months (Full time)
Price Per Unit
From $4,990.6
More Information
The estimated per units fees are calculated based on the annual average first year fee. It is is based on the standard full-time enrolment load of 48 units per year (unless the program duration is less than 48 units).
Campus
Acton
Intake
New start dates announced soon
Units
8
Fees
More Information
FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.
FEE-HELP

What you will study

The Graduate Diploma of Applied Data Analytics requires the completion of 48 units, which must consist of:

36 units from completion of the following compulsory courses:

  • Data Mining OR Data Mining (intensive)
  • Introduction to Social Science Methods and Types of Data
  • Using Data to Answer Policy Questions and Evaluate Policy
  • Regression Modelling
  • Generalised Linear Models
  • Introductory Statistics for Business and Finance

Six units from completion of courses from the following list:

  • Relational Databases
  • Introduction to Database Concepts (intensive)

Six units from completion of courses from the following list:

  • Programming for Scientists
  • Introduction to Programming for Data Scientists (intensive)

Entry requirements

Applicants must present one of the following:

  • Bachelor's degree with honours or international equivalent with a minimum GPA of 4.0/7.0.
  • Bachelor's degree or international equivalent with a minimum GPA of 4.0/7.0, with at least one year of relevant work experience.
  • Bachelor's 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.

Ranking and English Language Proficiency

All applicants must meet program-specific academic/non-academic requirements and English language requirements. Admission to most ANU programs is competitive, so meeting all admission requirements does not automatically guarantee entry.

In line with the University's admissions policy and strategic plan, an assessment for admission may include competitively ranking applicants based on specific academic achievement, English language proficiency and diversity factors. Applicants will first be ranked on a GPA ('GPA1') calculated using all but the last semester (or equivalent) of the Bachelor's degree used for admission purposes. If required, ranking may further be confirmed based on:

  • For admission purposes, a GPA ('GPA2') calculated on the penultimate and antepenultimate semesters (or equivalent) of the Bachelor's degree is used.
  • And/or demonstrating higher-level English language proficiency.

Before enrolment in this ANU program, all students who gain entry will have their bachelor's degree reassessed to confirm that the minimum requirements were met. 

Contact the university for more information.

Outcomes

Learning outcomes

  • Apply computing, statistical and social science principles to solve data analytics problems.
  • Apply data analytics methods and techniques to decision making about policy, business and service delivery.
  • Contribute as an effective member to the performance of a data analytics workplace.
  • Demonstrate basic technical expertise in computing, statistics and social science as relevant to data analytics.
  • Be able to work to specification and according to a deadline, document tasks undertaken and report outcomes to a third party.
  • Be capable of independent learning with some ability to evaluate critically work undertake.

Fees and FEE-HELP

Annual indicative fee in 2025: $39,925 (domestic full-fee paying place)

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).

A student’s annual fee may vary in accordance with:

  • The number of units studied per term.
  • The choice of major or specialisation.
  • Choice of units.
  • Credit from previous study or work experience.
  • Eligibility for government-funded loans.

All students are required to pay a services and amenities fee.

Student fees shown are subject to change. Contact the university directly to confirm.

FEE-HELP loans are available to assist eligible full-fee paying domestic students with the cost of a university course.