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Requisite map

The 2020 handbook lists no units for C5003 itself. Pick an area of study to see its units.

Overview

The Graduate Diploma of Data Science will prepare you for a career in data science giving you 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.

Course structure

Foundation units (0-12 credit points)12 credit points

You may complete up to 12 credit points from the following units

Core units18 credit points

You must complete the following units

Data science elective units (18-30 credit points)30 credit points

You must complete 18 to 30 credit points from the following units

The handbook's description of this structure

This course consists of eight units. You complete core studies in introductory data science, data wrangling and modelling for data analysis, 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.

If you do not meet course requirements in programming, databases or mathematics/statistics, you must complete up to a maximum of two foundation units prior to commencing your core studies.

The course comprises 48 points.

Units are 6 credit points unless otherwise stated.

You must complete:

a. up to two foundation units (0-12 points)

FIT9132 Introduction to databases
FIT9136 Algorithms and programming foundations in Python
MAT9004 Mathematical foundations for data science

b. three core units (18 points):

FIT5145 Introduction to data science
FIT5196 Data wrangling
FIT5197 Statistical data modelling

c. three to five units (18-30 points) selected from:

FIT5146 Data curation and management
FIT5147 Data exploration and visualisation
FIT5148 Big data management and processing
FIT5149 Applied data analysis
FIT5201 Machine learning
FIT5202 Data processing for big data

Learning outcomes

These course outcomes are aligned with the Australian Qualifications Framework and Monash Graduate Attributes.

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

1
apply the major theories in the field of data analysis and data exploration to some characteristic problems
2
investigate, analyse, document and communicate the core issues and requirements in developing data analysis capability in a global organisation
3
demonstrate an understanding of data science to a level of depth and sophistication consistent with senior professional practice
4
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.

Entry requirements

English language

Monash minimum: Level A, that is: IELTS: 6.5 overall (no band lower than 6.0); or TOEFL Paper-based test: 550 with a TWE of 4.5; or TOEFL Internet-based test: score of 79 overall with minimum scores: Writing: 21, Listening: 12, Reading: 13 and Speaking: 18; or Equivalent approved English test

More information

Progression to further studies

Successful completion of this course provides a pathway to the master's by coursework degree, C6004 Master of Data Science.

Notes for students

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.

Other information

The Graduate Diploma of Data Science will prepare you for a career in data science giving you 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.

Contacts

Academic Coordinator: Dr Jackie Rong

Common questions

Where can I study Graduate Diploma of Data Science?

At Monash Online.

How do I plan my Graduate Diploma of Data Science units?

Open the course in the MonMap planner. It lays out your semesters, checks prerequisites as you drag units in, and tracks the credit points each requirement still needs.

Course details

Qualification: Graduate Diploma
AQF level: Level 8
Credit points: 48
Part time: 1.4 Years
Maximum time: 4 years

Faculty: Faculty of Information Technology
Abbreviation: GradDipDataSci
Award titles: Graduate Certificate of Data Science (exit only)Graduate Diploma of Data Science
Handbook years: 20202021 2022 2023 2024 2025 2026 2027