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The master’s degree programs in chemical engineering provide students with a deeper understanding of the fundamentals of chemical engineering and data science, with high-impact applications. In our research-intensive environment, students work alongside world-recognized academic leaders and exceptional peers, and reach their potential as technical leaders.

Graduates of the master’s programs excel at numerical methods for solving engineering problems, computational fluid mechanics and transport, process simulation, and optimization.

Master's programs

Master of Science (MS)

With an emphasis on computational skills and collaborative research, the MS program prepares students to make meaningful contributions to various industries or pursue a Ph.D. Students gain practical expertise in four semesters, in which the summer semester is focused on an independent project.

Master's in Artificial Intelligence Engineering-Chemical Engineering (MS in AIE-ChE)

The MS in Artificial Intelligence Engineering-Chemical Engineering offers the opportunity to learn state-of-the art knowledge in artificial intelligence, bridging the gap between AI and chemical engineering processes. Graduates have the unique capability to use AI to solve challenging chemical engineering problems.

Master of Biotechnology and Pharmaceutical Engineering (MS-BTPE)

The MS-BTPE program combines the strengths of our Biological Sciences and Chemical Engineering departments to offer advanced training appropriate for careers in academia, government, or industry in the field of biotechnology and pharmaceutical engineering.

Master of Chemical Engineering (MChE)

The MChE program offers an industry-relevant curriculum and unparalleled emphasis on computational expertise. In the two-semester, coursework-based program, students gain advanced knowledge and practical skills for immediate application in industry.

Siddhant Lambor

"The MS program placed me in a unique position to blend advanced computational skills with domain knowledge to solve interesting scientific problems. The mentoring I received from faculty has been pivotal in inculcating a strong research acumen and producing high quality output. The coursework and research project enabled me to garner a breadth of knowledge and apply it to address challenges in experimental rheology using advanced machine learning algorithms."

Siddhant Lambor, MS, fall 2019