single degree

Graduate Diploma of Applied Data Analytics

A single one year graduate degree offered by the ANU College of Engineering and Computer Science

GDADATAN
  • Length 1 year full-time
  • Minimum 48 Units
  • Field of Education
    • Mathematical Sciences not else
  • Length 1 year full-time
  • Minimum 48 Units
  • Field of Education
    • Mathematical Sciences not else

The Graduate Diploma of Applied Data Analytics is a 1 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.
  • The opportunity to undertake research of professional relevance. 

The program will be taught in intensive blended mode with students expected to be enrolled part-time.

Career Options

Graduates from ANU have been rated as Australia's most employable graduates and among the most sought after by employers worldwide.

The latest Global Employability University Ranking, published by the Times Higher Education, rated ANU as Australia's top university for getting a job for the fourth year in a row.

Learning Outcomes

Upon successful completion, students will have the skills and knowledge to:

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

Further Information


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.

Admission Requirements

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

 

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

English language Requirements

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

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 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

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

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 assessment on the best GPA of all completed tertiary qualifications of the same level or higher.

Applicants who have completed a degree in a cognate discipline from a recognised university may be eligible to receive coursework credit towards this degree, in line with the ANU Coursework Award Rules.

Annual indicative fee for domestic students
$32,256.00

For more information see: http://www.anu.edu.au/students/program-administration/costs-fees

Annual indicative fee for international students
$43,200.00

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.

Program Requirements

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

30 units from completion of the following compulsory courses:

COMP8410 Data Mining
SOCR8201 Introduction to Social Science Methods and Types of Data
SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy
STAT6039 Principles of Mathematical Statistics
STAT7055 Introductory Statistics for Business and Finance 

6 units from completion of courses from the following list:

COMP6240 Relational Databases
COMP7240 Introduction to Database Concepts

6 units from completion of courses from the following list:

COMP1040 The Craft of Computing
COMP6730 Programming for Scientists 
COMP7230 Introduction to Programming for Data Scientists 

6 units from completion of courses from the following list:

STAT6038 Regression Modelling
STAT7001 Applied Statistics 

Study Options

Year 1 48 units COMP1040 The Craft of Computing 6 units STAT7055 Introductory Statistics for Business and Finance 6 units (Intensive) SOCR8201 Introduction to Social Science Methods and Types of Data 6 units (Intensive) COMP7240 Introduction to Database Concepts 6 units
STAT7001 Applied Statistics 6 units STAT6039 Principles of Mathematical Statistics 6 units (Intensive) COMP8410 Data Mining 6 units (Intensive) SOCR8202 Using Data to Answer Policy Questions and Evaluate Policy 6 units
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