Currently offered across four of our MSc programmes, the Data Science stream prepares engineers to lead in an increasingly data-driven world. From statistical modelling and machine learning to data engineering and real-world coding, this stream equips engineers with the in-demand skills needed to solve future Civil and Environmental Engineering challenges.
Students will master causality and inference for data interpretation, build and deploy AI-driven models, and work with cloud platforms like AWS and Azure. Hands-on experience with Python, R, and MATLAB ensures graduates are ready to tackle live industry challenges.
The Data Science stream is currently offered with the following MSc programmes:
What you'll study
In this video, Dr Truong Le explains how our Data Science stream equips students with cutting-edge skills in statistical modelling, machine learning, and data engineering — preparing them for careers both within and beyond Civil and Environmental Engineering.
Modules in this stream
Take a look below for further information about the four modules that make up this programme.
What you'll study
This module will provide you with a comprehensive understanding of statistical modelling fundamentals from a theoretical and applied viewpoint. It will develop the relevant theory, methodology and computational techniques required for you to formulate and implement statistical models to represent real-world phenomena. The course will also teach you how to program statistical models in the R programming language using both R and the RStudio graphical user interface (GUI). A pre-requisite for this course is that you must have a sufficient background in mathematics, including algebra, matrix algebra, and multivariate calculus.