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 | ||
| 37458 Advanced Bayesian Methods | 6cp | ||
| 32513 Advanced Data Analytics Algorithms | 6cp | ||
| 36114 Advanced Data Science for Innovation | 4cp | ||
| 32113 Advanced Database | 6cp | ||
| 37357 Advanced Statistical Modelling | 6cp | ||
| 36113 Applied Data Science for Innovation | 4cp | ||
| 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 | ||
| 37356 Design and Analysis of Experiments | 6cp | ||
| 32130 Fundamentals of Data Analytics | 6cp | ||
| 36101 Leading Data Science Initiatives | 8cp | ||
| 37459 Multivariate Data Analysis | 6cp | ||
| 37242 Optimisation in Quantitative Management | 6cp | ||
| 15315 Project Management Principles | 6cp | ||
| 37252 Regression Analysis | 6cp | ||
| 42913 Social and Information Network Analysis | 6cp | ||
| 94689 Special Subject 1 (FTDI) | 2cp | ||
| 32547 UNIX Systems Programming | 6cp | ||
| 60117 Understanding Data and Statistical Design | 6cp | ||
| 36102 iLab 1 | 12cp | ||
| Total | 20cp |