University of Technology Sydney

CBK91916 Electives

Students in the Master of Data Science and Innovation course may undertake a maximum of one approved undergraduate subject as an elective. The subjects in this choice block are all Postgraduate level subjects.

Completion requirements

Select 20 credit points of options:  20cp
CBK91917  Free Electives 12cp 
CBK91986  Free Electives 12cp 
37457  Advanced Bayesian Methods 8cp 
32513  Advanced Data Analytics Algorithms 6cp 
36125  Advanced Data Science for Innovation 2cp 
32113  Advanced Database 6cp 
36120  Advanced Machine Learning Application 8cp 
36119  Advanced Topics in Data Science 4cp 
36124  Applied Data Science for Innovation 2cp 
36118  Applied Natural Language Processing 8cp 
36121  Artificial Intelligence Principles and Applications 8cp 
94693  Big Data Engineering 8cp 
42904  Cloud Computing and Software as a Service 6cp 
94697  Data Science Internship A 6cp 
94698  Data Science Internship B 6cp 
94699  Data Science Internship C 8cp 
94692  Data Science Practice 8cp 
36109  Data and Decision Making 8cp 
32606  Database 6cp 
94691  Deep Learning 8cp 
33116  Design, Data, and Decisions 6cp 
32130  Fundamentals of Data Analytics 6cp 
37242  Introduction to Optimisation 6cp 
36101  Leading Data Science Initiatives 8cp 
15315  Project Management Principles 6cp 
36122  Python Programming 8cp 
37252  Regression and Linear Models 6cp 
36123  Research Paper 8cp 
42913  Social and Information Network Analysis 6cp 
94689  Special Subject 1 (FTDI) 2cp 
37495  Statistical Design and Models for Evaluation Studies 6cp 
32547  UNIX Systems Programming 6cp 
60117  Understanding Data and Statistical Design 6cp 
36102  iLab: Research Project 12cp 
Total  20cp