Graduate Certificate in Data Mining & Machine Learning
The Certificate in Data Mining and Machine Learning can be awarded in conjunction with any engineering master's degree. In order to qualify for this certificate, students enrolled in any master's in engineering program will need to meet the requirements listed below in addition to the standards requirements for their master's degree.
CSE 417T or ESE 417
Introduction to Machine Learning Introduction to Machine Learning and Pattern Classification
Foundations Courses (choose two)
Introduction to Artificial Intelligence
Theory of Artificial Intelligence and Machine Learning
Bayesian Methods in Machine Learning
Advanced Machine Learning
Algorithms for Nonlinear Optimization
Domain Courses(choose one)
Cloud Computing with Big Data Applications
Large-Scale Optimization for Data Science
Algorithms for Biosequence Comparison
Algorithms for Computational Biology
All courses must be taken for a grade.
Students with previous courses in machine learning may place out of CSE 417T. These students will be required to complete an additional foundations course for a total of three foundations courses.
Students who began the certificate prior to FL16 who have successfully completed 517A independent of 417T will be required to complete an additional foundations course in place of 417T for a total of three foundations courses. No student will be allowed to take 417T after the successful completion of 517A.
Any student who began the certificate prior to FL16 may choose to take 441T in place of 541T.