Five Core Modules (20MC)
  • DSA4212   Optimisation for Large‐Scale Data‐Driven Inference
  • DSA5101   Introduction to Big Data for Industry
  • DSA5102X Foundations of Machine Learning
  • DSA5201   DSML Industry Consulting and Applications Project
  • CS5224     Cloud Computing

Elective Modules
Students are required to complete five modules (total 20MC) from two or more graduate certificates (GC) or clusters
☨ SkillsFuture Singapore (SSG) funded

GC in Deep Learning  for Industry
  • DSA5202 Advanced Topics in Machine Learning ☨
  • DSA5204 Deep Learning and Applications ☨ (or CS5242)
GC in Data Mining for Industry
  • CS5228 Knowledge Discovery and Data Mining
  • ST5227 Applied Data Mining ☨
GC in Big Data for Industry
  • CS5344 Big‐Data Analytics Technology
  • ST5201 Statistical Foundations of Data Science ☨

 

GC in Health Informatics
  • SPH5104 Analytics for Better Health ☨
  • SPH5411 Information Technology in Healthcare ☨
  • SPH5414 Informatics for Health ☨
GC in Data Science for Quantitative Finance
  • QF5204    Numerical Methods in Quantitative Finance ☨
  • DSA5205 Data Science in Quantitative Finance ☨
  • ST5202    Applied Regression Analysis ☨

Cluster in Statistics

  • ST5207 Nonparametrc Regression ☨
  • ST5210 Multivariate Data Analysis ☨ 
  • ST5225 Statistical Analysis of Networks ☨ (4MC)
Cluster in Computing
  • CS4248 Natural Language Processing
  • CS5234 Algorithms at Scale
  • CS5246 Text Mining
  • CS5425 Massive Data Processing Techniques for Data Science
  • IS5152   Data driven Decision Making

Cluster in Mathematics

  • DSA5203 Visual Data Processing and Interpretation

  • MA4230 Matrix Computation ☨
  • MA5232 Modelling and Numerical Simulations (☨ to  be reviewed)
  • MA5266 Optimization ☨