SDSC8004 - Advanced Statistics

Offering Academic Unit
School of Data Science
Credit Units
Course Duration
One Semester
Course Offering Term*:
Semester A 2021/22

* The offering term is subject to change without prior notice
Course Aims

This course aims to provide students with a solid foundation of statistical concepts, theory, and methods including probability theory, statistical estimation and inference methods, and multivariate statistics. It also aims to provide students with a rigorous introduction to the theory and implementation of statistical models such as linear models, generalized linear models, and nonparametric models. Emphasis will be placed on rigorous mathematical derivations, understanding of the fundamentals of statistics but implementation of the statistical methods via computer programming in R or Matlab will be an important part of the course as well.

Assessment (Indicative only, please check the detailed course information)

Continuous Assessment: 75%
Examination: 25%
Examination Duration: 3 hours
Detailed Course Information


Useful Links

School of Data Science