Data Science

The rise of big data has changed the way organisations do business.From data curation and management to processing and analysis - data scientists play a vital role in helping organisations understand massive amounts of data to get the information to solve real-world business problems.

Monash brings an enormous breadth of expertise to bear on issues relating to data science:

we have the greatest collection of expertise in the theory and practice of any university in the Asia-Pacific region.

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.

Progression map: Graduate Diploma of Data Science

This course is offered via the Monash Online delivery model, which is based on six teaching periods (6 weeks each, with approx. 2 weeks break between each) each year. Students take one unit at most each teaching period. The units in the Graduate Diploma of Data Science are offered in two so-called carousels. Carousel 1 consists of the 3 core units FIT5145, FIT5196 and FIT5197, with the remaining six units offered in the second carousel. There are no pre-requisites between units within the same carousel, so students can commence the course in each teaching period. The standard progression map is that students will complete Carousel 1 before commencing Carousel 2.

Qualifications

An Australian undergraduate degree with at least a credit (60%) average (or qualification deemed by the faculty to be a satisfactory equivalent), in a discipline relating to one of IT, business (with mathematics), Economics, Econometrics, Engineering, or Science degree with completed studies in at least one of mathematics, programming or databases.

OR

An Australian bachelor's degree (or a qualification deemed by the faculty to be a satisfactory equivalent) with at least a credit (60%) average; plus two years of professional work experience in programming or databases.

English requirements

Applicants must also meet the English language requirements.

University entrance requirements

Minimum entrance requirements for admission to Monash University Australia.

Learning outcomes

These course outcomes are aligned with the Australian Qualifications Framework level 8 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.