This list is subject to change without prior notice. Students should check this page for updates especially closer to the course registration period.
Updated on 11 June 2025
Special Term AY 2024/2025
|
Code |
Title |
Special Term (Part 1) |
Special Term (Part 2) |
| DSA1361 | Introductory Data Science with Python and Tableau | CHAN Yiu Man | |
| DSA2362 | Decision Trees for Machine Learning and Data Analysis | LOH Wei-Yin | |
| DSS5210 | Research/Industry Project I | PHAM Thi Kim Cuc | |
| DSS5211 | Research/Industry Project II | PHAM Thi Kim Cuc | |
| ST5290 | Data Science Industry Project | Adrian ROELLIN |
Courses Offered in AY 2025/2026
|
Code |
Title |
Semester 1, AY2025/2026 |
Semester 2, AY2025/2026 |
| Undergraduate | |||
| DSA1101 | Introduction to Data Science |
AFIQ Daniel |
To be offered |
| DSA2101 | Essential Data Analytics Tools: Data Visualisation | HUANG Yuting | To be offered |
| DSA3101 | Data Science in Practice |
Yoanna KURNIANINGSIH |
To be offered |
| DSA 3361 | Inferential Data Analytics | CHIA Hui Teng | |
| DSA3362 | Predictive Data Analytics | To be offered | |
| DSA4211 | High Dimensional Statistical Analysis | To be offered | |
| DSA4212 | Optimisation for Large-Scale Data Driven Inference | Alexandre THIERY | |
| DSA4213 | Natural Language Processing for Data Science | ZHOU Doudou | |
| DSA4262 | Sense-Making Case Analysis: Health and Medicine | Jonathan GÖKE | |
| DSA4263 | Sense-Making Case Analysis: Business and Commerce | Valerie LIM | |
| DSA4264 | Sense-Making Case Analysis: Public Policy and Society | LOKE Chok Kang | To be offered |
| DSA4265 | Sense-Making Case Analysis: Economics | To be offered | |
| DSA4266 | Sense-Making Case Analysis: Science and Technology | To be offered | |
| DSE1101¹ | Introductory Data Science for Economics | HUANG Yuting | |
| DSE3101¹ | Practical Data Science for Economics | To be offered | |
| HS2914 | How to Teach Humans and Machines to Talk | To be offered | |
| ST1131 | Introduction to Statistics and Statistical Computing | AFIQ Daniel | To be offered |
| ST2131 | Probability | Offered by Department of Mathematics | To be offered |
| ST2132 | Mathematical Statistics | YAP Von Bing | To be offered |
| ST2137 | Statistical Computing and Programming | To be offered | |
| ST2334 | Probability and Statistics | David CHEW | To be offered |
| ST3131 | Regression Analysis | PHAM Thi Kim Cuc | To be offered |
| ST3232 | Design and Analysis of Experiments | To be offered | |
| ST3236 | Stochastic Processes I | WANG Wanjie | |
| ST3239 | Survey Methodology | CHUA Tin Chiu | |
| ST3244 | Demographic Methods | To be offered | |
| ST3246 | Statistical Models for Actuarial Science | To be offered | |
| ST3247 | Simulation | To be offered | |
| ST3248 | Statistical Learning I | HUANG Dongming | |
| ST4231 | Computer Intensive Statistical Methods | ZHANG Jin-Ting | |
| ST4233 | Linear Models | SUN Baoluo | |
| ST4234 | Bayesian Statistics | To be offered | |
| ST4238 | Stochastics Processes II | To be offered | |
| ST4245 | Statistical Methods for Finance | To be offered | |
| ST4248 | Statistical Learning II | To be offered | |
| ST4250 | Multivariate Statistical Analysis | ZHOU Wang | |
| ST4253 | Applied Time Series Analysis | Samriddha LAHIRY | |
| MSc in Data Science for Sustainability | |||
| DSS5101² | Principles of Sustainability | Adrian LOO | |
| DSS5102² | Advanced Regression and Time Series Analysis | David NOTT | |
| DSS5103² | Geospatial Data Analysis | To be offered | |
| DSS5104² | Machine Learning and Predictive Modelling | To be offered | |
| DSS5105² | Data Science Projects in Practice | TAN Tian Huat | |
| DSS5201² | Data Visualisation | To be offered | |
| DSS5202 | Sustainable Systems Analysis | POH Kim Leng | |
| DSS5203 | ESG Data for Sustainable Finance and Investments | To be offered | |
| DSS5210² | Research/Industry Project I | PHAM Thi Kim Cuc | |
| DSS5211² | Research/Industry Project II | PHAM Thi Kim Cuc | |
| MSc Statistics (Coursework) | |||
| ST5201X3 | Statistical Foundations of Data Science | YAO Zhigang ZHANG Yao |
|
| ST5202/ST5202X3 | Applied Regression Analysis | To be offered | |
| ST52033 | Design of Experiments for Product Design and Process Improvements | To be offered | |
| ST5209X3 | Analysis of Time Series Data | To be offered | |
| ST5211X3 | Sampling from Finite Populations | LI Jialiang LI Jinzhou |
|
| ST5188 | Advanced Data Science Project | Markus KIRCHBERG | To be offered |
| ST5207 | Nonparametric Regression | Bilol BANERJEE | |
| ST5212 | Survival Analysis | To be offered | |
| ST5213 | Advanced Categorical Data Analysis | Linda TAN | |
| ST5218 | Advanced Statistical Methods in Finance | To be offered | |
| ST5221 | Stochastic Processes and Applications | CHOI Kwok Pui | |
| ST5225 | Statistical Analysis of Networks | Adrian ROELLIN | |
| ST5226 | Spatial Statistics | LI Cheng | |
| ST5227 | Applied Statistical Learning | To be offered | |
| ST5229 | Deep Learning in Data Analytics | To be offered | |
| ST5230 | Applied Natural Language Processing | To be offered | |
| ST5290 | Data Science Industry Project | Adrian ROELLIN | To be offered |
| PhD Statistics | |||
| ST6101 (former ST5215) |
Advanced Statistical Theory | LIN Zhenhua | |
| ST6102 (former ST5224) |
Advanced Statistical Theory II | To be offered | |
| ST6103 (former ST5214) |
Advanced Probability Theory | Somabha MUKHERJEE | |
| ST6104 (former ST5223) |
Statistical Models | To be offered | |
| ST6105 (former ST5222) |
Computational Statistics | YU Tao | |
| ST6120 (former ST5198) |
Graduate Seminar Module | CHIA Hui Teng | |
| ST6241 | Topics I | Alexander GIESSING | |
| Others | |||
| ∗IND5003 | Data Analytics for Sense Making | LIM Tiong Wee | |
| ST5201 | Statistical Foundations of Data Science | WANG Wei Yang |
1 Co-taught with staff from Department of Economics
2 Not open to MSc Statistics (Coursework) students
3 There are TWO lecture groups for ST5201X, ST5202/ST5202X, ST5203, ST5209X and ST5211X
∗ Only open to MSc (Industry 4.0) students
Class timetables are published about one month before a semester begins. Students may still plan ahead for an entire academic year but should note that the unpublished timetable is subject to change without notice. Hence, it is always advisable to have contingency plans.