MS in Chemical Engineering with a Concentration in Data and Computational Science

The coursework for a concentration in Data and Computational Science provides the MS candidate with an understanding of data science tools and computational modeling methods relevant to modern chemical engineering practice. These tools include methods of data curation, statistical data analysis, predictive modeling, and experimental design that integrate advances in machine learning and artificial intelligence into the chemical engineering domain. Hack-a-thons planned throughout the MS program provide students with the opportunity to apply the tools they learn to solve real-world problems.

 

Students must satisfy the chemical engineering core and technical elective requirements with no more than 2 courses outside of the department. Through the S2E program, the concentration is also appropriate for students with undergraduate degrees in chemistry, materials science, mechanical engineering and related disciplines.