Graduate Diploma of Data Science - 2019

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.

These course outcomes are aligned with the Australian Qualifications Framework level 8 and Monash Graduate AttributesAustralian Qualifications Framework level 8 and Monash Graduate Attributes (http://www.monash.edu.au/pubs/handbooks/alignmentofoutcomes.html).

Upon successful completion of this course it is expected that you 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 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 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)

• FIT9133 Programming foundations in Python
• FIT9132 Introduction to databases
• MAT9004 Mathematical foundations for data science

b. three core units (18 points):

• FIT5145 Introduction to data science
• FIT5196 Data wrangling
• FIT5197 Modelling for data analysis

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 Data analysis algorithms
• FIT5202 Data processing for big data

You may exit this course early and apply to graduate with the following award, provided you have satisfied the requirements indicated for that award during your enrolment in this graduate diploma course:

• Graduate Certificate of Data Science after successful completion of 24 credit points of study, including FIT5145, FIT5196, and FIT5197 and one 6-point unit from a. or c.

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