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Students who commenced study in 2016 should refer to this course entry for direction on the requirements; to check which units are currently available for enrolment, refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course.

Monash University

Postgraduate - Course

Commencement year

This course entry applies to students commencing this course in 2016 and should be read in conjunction with information provided in the 'Faculty information' section of this Handbook by the Faculty of Information Technology.

Unit codes that are not linked to their entry in the Handbook are not available for study in the current year.

Course code


Credit points


Abbreviated title


Managing faculty

Information Technology

Admission and fees

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Course type

Graduate diploma

Standard duration

1.4 years PT

Students have a maximum of four years to complete this course.

Mode and location

This course is taught online.


Graduate Diploma of Data Science


  • This course is not available to international students who are holders of an Australian student visa, for study onshore in Australia. However holders of some other categories of Australian visas living in Australia, and students studying off-campus by distance learning (where this option is available) and living outside of Australia, may be eligible for this course.


The Graduate Diploma of Data Science will prepare graduates for a career in Data Science giving them the skills needed to deal effectively within the areas of data analysis, data management or big data processing. The course includes topics in statistical and exploratory analysis, data formats and languages, processing of massive data sets, management of data and its role and impact in an organisation and society.


These course outcomes are aligned with the Australian Qualifications Framework level 8 and Monash Graduate AttributesAustralian Qualifications Framework level 8 and Monash Graduate Attributes (

Upon successful completion of this course it is expected that students will be able to:

  1. analyse the lifecycle of data through an organisation.
  2. apply the major theories in the field of data analysis and data exploration to some characteristic problems.
  3. investigate, analyse, document and communicate the core issues and requirements in developing data analysis capability in a global organisation.
  4. demonstrate an understanding of data science to a level of depth and sophistication consistent with senior professional practice.
  5. review and evaluate data science projects.
  6. document and communicate ethical and legal issues and norms in privacy and security, and other areas of community impact with regards to the practice of data science.


This course consists of eight graduate-level units. You complete core studies in introductory data science, statistical and exploratory analysis, data formats and processing and then select units from across a range of areas where you can tailor the course to suit your own interests. Your choice of units covers studies in data exploration and visualisation, distributed and big data processing and data analysis and data management.


The course comprises 48 points.

Units are 6 credit points unless otherwise stated.

Students complete:

a. three units (18 points):

b. five units (30 points) selected from:

  • FIT5097 Business intelligence modelling
  • FIT5146 Data curation and management
  • FIT5147 Data exploration and visualisation
  • FIT5148 Distributed and big data processing
  • FIT5149 Applied data analysis
  • FIT5201 Data analysis

Progression to further studies

This course provides a pathway to the masters by coursework degree, C6004 Master of Data Science.