| Course Code | Title | Semester offered in 2025-2026 |
|---|
| ASAI1001 | Artificial intelligence: foundation, philosophy and ethics | 1 |
| SDST1016 | Data science 101 | 2 |
| SDST1018 | Foundations of data science | 2 |
| SDST1600 | Statistics: ideas and concepts | 1, 2 |
| SDST2601 | Probability and statistics I | 1, 2 |
| SDST2602 | Probability and statistics II | 1, 2 |
| SDST2604 | Introduction to R/Python programming and elementary data analysis | 1 |
| SDST2901 | Probability and statistics: foundations of actuarial science | 2 |
| SDST2902 | Financial mathematics | 2 |
| SDST3010 | Image processing and computer vision | 2 |
| SDST3021 | Modern biostatistics | 1 |
| SDST3600 | Linear statistical analysis | 1, 2 |
| SDST3602 | Statistical inference | 1 |
| SDST3603 | Stochastic processes | 1 |
| SDST3606 | Business logistics | 1 |
| SDST3609 | The statistics of investment risk | 1 |
| SDST3610 | Risk management and insurance | 2 |
| SDST3612 | Statistical machine learning | 1, 2 |
| SDST3613 | Marketing analytics | 1 |
| SDST3615 | Practical mathematics for investment | 2 |
| SDST3617 | Sample survey methods | 2 |
| SDST3618 | Derivatives and risk management | 2 |
| SDST3620 | Modern nonparametric statistics | 1 |
| SDST3621 | Statistical data analysis | 2 |
| SDST3622 | Data visualization | 2 |
| SDST3655 | Survival analysis | 2 |
| SDST3799 | Directed studies in statistics | 1, 2 |
| SDST3901 | Life contingencies I | 1 |
| SDST3902 | Mathematical statistics | 1 |
| SDST3903 | Stochastic models | 2 |
| SDST3904 | Corporate finance for actuarial science | 1 |
| SDST3905 | Introduction to financial derivatives | 2 |
| SDST3906 | Risk theory I | 1 |
| SDST3907 | Linear models and forecasting | 2 |
| SDST3908 | Credibility theory and loss modelling | 2 |
| SDST3909 | Life contingencies II | 2 |
| SDST3910 | Financial economics I | 1 |
| SDST3911 | Financial economics II | 2 |
| SDST3951 | Topics on advanced actuarial modelling | 2 |
| SDST3953 | Fundamentals of actuarial practice | 1 |
| SDST3956 | Life contingencies III | 1 |
| SDST3957 | Essential principles in actuarial modelling | 1 |
| SDST4011 | Natural language processing | 1 |
| SDST4013 | Applied high-performance computing and parallel programming | 2 |
| SDST4022 | Omics data analysis | 2 |
| SDST4601 | Time-series analysis | 1 |
| SDST4602 | Multivariate data analysis | 2 |
| SDST4603 | Current topics in risk management | 1 |
| SDST4607 | Credit risk analysis | 2 |
| SDST4608 | Market risk analysis | 2 |
| SDST4609 | Big data analytics | 2 |
| SDST4610 | Bayesian learning | 1 |
| SDST4710 | Capstone experience for statistics undergraduates | 1, 2 |
| SDST4711 | Capstone experience for actuarial science undergraduates | 1, 2 |
| SDST4766 | Statistics internship | 1, 2, S |
| SDST4767 | Actuarial science internship | 1, 2 |
| SDST4798 | Statistics and actuarial science project | 1, 2 |
| SDST4799 | Statistics project | Year long |
| SDST4903 | Actuarial techniques for general insurance | 1 |
| SDST4904 | Statistical learning for risk modelling | 2 |
| SDST7609 | Research methods in statistics | 1 |
| SDST7610 | Advanced probability | 2 |
