SMJ10108 Data Analytics
The Data Analytics sub major provides an introduction to data analytics and data mining methods and their application in practice across many fields of business, industry and science to discover new information and knowledge. Data analytics is an emerging and rapidly expanding area where mathematics and statistical methods interact with powerful information technologies to improve the flow and understanding of massive amounts of data for a business. Students learn to apply state-of-the-art algorithms to their professional practice. Industry experiences, real-world projects and self-directed study, equip graduates with an understanding of the potential of analytics to transform practice.
Completion requirements
32130 Fundamentals of Data Analytics | 6cp | ||
32513 Advanced Data Analytics Algorithms | 6cp | ||
Select 12 credit points of options: | 12cp | ||
32567 Business Intelligence for Decision Support | 6cp | ||
42904 Cloud Computing and Software as a Service | 6cp | ||
32146 Data Visualisation and Visual Analytics | 6cp | ||
42028 Deep Learning and Convolutional Neural Network | 6cp | ||
42913 Social and Information Network Analysis | 6cp | ||
Total | 24cp |