C5003 Graduate Diploma of Data Science
Faculty of Information Technology
Graduate Diploma of Data Science (C5003) is a 48-credit-point, graduate diploma course from the Faculty of Information Technology, taught at Monash Online. Map your units semester by semester with the MonMap planner.
- Credit points
- 48
- Campus
- Monash Online
- Online
This is the 2021 handbook entry. See the 2027 entry.
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Requisite map
The 2021 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
Core units18 credit points
Data science elective units (18-30 credit points)30 credit points
- FIT5147Data exploration and visualisationNo reviews yet6 cp
- FIT5149Applied data analysisNo reviews yet6 cp
- FIT5195Business intelligence and data warehousingNo reviews yet6 cp
- FIT5201Machine learningNo reviews yet6 cp
- FIT5202Data processing for big dataNo reviews yet6 cp
- FIT5212Data analysis for semi-structured dataNo reviews yet6 cp
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 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:
- FIT5147 Data exploration and visualisation
- FIT5149 Applied data analysis
- FIT5195 Business intelligence and data warehousing
- FIT5201 Machine learning
- FIT5202 Data processing for big data
- FIT5212 Data analysis for semi-structured 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 (Academic): 6.5 overall (no band lower than 6.0); or Pearson Test of English (Academic): score of 58 overall with no band lower than 50; 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 may provide a pathway to the Master of Data Science.
Notes for students
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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.