Materials Engineers use data analytics and advanced modelling to better understand the use, selection, manufacturing and discovery of materials.
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- Use the power of data analytics to speed up the design cycle and improve materials.
- Be a part of an emerging field with the potential to revolutionize the healthcare, manufacturing and energy sectors.
Careers in Data Analytics & Computational Materials Engineering:
- Process simulation and optimizatio
- Accelerated material discovery/design
- Image/data processing
Where you”ll go: petrochemical, manufacturing, energy and healthcare sectors.
Courses
Bonding, crystallagraphy, mixing of materials and equilibrium (MATLS 2A04, 2B03, 2D03)
Statistics for Materials Engineers (MATLS 3J03)
Big Data Analysis (CHEM ENG 4B03)
Machine Learning (MATLS 4ML3)
Microstructure Modelling (MATLS 4NN3)
Process Modelling (MATLS 4NP3)
Finite Element Modelling (MECH ENG 4T03)
“I am fascinated by how everything is interconnected in Materials Engineering and excited about how intelligent data analysis can be used to transform the way we develop new materials.”
Magdalena Laurien, Materials Engineering
Related Faculty
Dr. Neslihan Dogan
Associate Professor
Dr. Michael Greenwood
Adjunct Assistant Professor
Dr. Nana Ofori-Opoku
Assistant Professor
Dr. André Phillion
Professor, Director of Experiential Learning
Dr. Oleg Rubel
Associate Professor