The Artificial Intelligence & Machine Learning in Chemical Engineering emphasis will equip students with high-demand skills at the intersection of AI, chemical engineering, and applied chemistry, preparing them for a rapidly growing job market in industries such as pharmaceuticals, renewable energy, and advanced manufacturing. Graduates will gain expertise in analyzing diverse chemical data, applying AI tools, and solving real-world challenges, ensuring they are well-prepared to lead innovation in next-generation industry.
This emphasis is only open to ChemE MEng students
Current ChemE MEng students admitted prior to Fall 2026 may claim the ALChemE emphasis retroactively after Fall 2026, provided they complete the emphasis requirements.
Emphasis Requirements
Students will be required to complete four half courses, totalling 2.0 FCEs, to earn the emphasis. The course requirements are as follows:
Foundational Course (Mandatory):
CHE1147H – Chemical Data Science and Engineering
Core Courses (Minimum one of the following):
CHE1148H – Artificial Intelligence of Applied Chemistry and Chemical Engineering.
CHE1149H – Chemical Engineering Data Organization
Elective Courses (Remaining courses from the following):
CHE507 – Data-based Modelling for Prediction and Control
CHE1108H – Numerical Methods in Chemical Engineering
CHE1107H – Applied Mathematics
CHE1434H – Six Sigma for Chemical Processes
CHM1449H – Machine Learning and Physics Based View on Chemical Compound
MSE1065 – Application of Artificial Intelligence in Materials Design
BME1510 – Introduction to Data Science for Biomedical Engineers
MIE1626H – Data Science Methods and Statistical Learning
ECE1779 – Introduction to Cloud Computing
For questions about this emphasis, contact the MEng Advisor at mengprograms.chemeng@utoronto.ca