The MS Civil Engineering program offers two completion paths:
Thesis Option (30 credits)
Core Foundation Courses (6 credits)
MAT 515 Mathematical Methods in Computational Science and Engineering
CE 573 Introduction to Machine Learning in Engineering Applications
Engineering Electives (9-15 credits)
General Electives (0-6 credits)
Thesis (9 credits)
Non-Thesis Option (30 credits)
Core Foundation Courses (6 credits)
MAT 515 Mathematical Methods in Computational Science and Engineering
CE 573 Introduction to Machine Learning in Engineering Applications
Engineering Electives (15-21 credits)
General Electives (0-6 credits)
Project or additional engineering course (3 credits) (comprehensive exam required in final semester)
