Graduate Programs

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.

Required Courses
CSE 417T or ESE 417	Introduction to Machine Learning Introduction to Machine Learning and Pattern Classification	3 units
CSE 517A	Machine Learning	3 units
CSE 541T	Advanced Algorithms	3 units

Foundations Courses (choose two)
CSE 412A	Introduction to Artificial Intelligence	3 units
CSE 513T	Theory of Artificial Intelligence and Machine Learning	3 units
CSE 514A	Data Mining	3 units
CSE 515T	Bayesian Methods in Machine Learning	3 units
CSE 519T	Advanced Machine Learning	3 units
CSE 543T	Algorithms for Nonlinear Optimization	3 units
ESE 415	Optimization	3 units
Math 493 OR ESE 520	Probability Probability and Stochastic Processes	3 units
Math 494	Mathematical Statistics	3 units
CSE561A	Large Language Models	3 units

Domain Courses (choose one)
CSE 427S	Cloud Computing with Big Data Applications	3 units
CSE 518A	Human-in-the-Loop Computation	3 units
CSE527A	Natural Language Processing	3 units
CSE 534A	Large-Scale Optimization for Data Science	3 units
CSE 557A	Advanced Visualization	3 units
CSE 559A	Computer Vision	3 units
CSE 584A	Algorithms for Biosequence Comparison	3 units
CSE 587A	Algorithms for Computational Biology	3 units
CSE555T	Adversarial AI	3 units
CSE531A	AI for Health	3 units

Please Note

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.

Related links

Application process & deadlines

To be awarded the Certificate in Data Mining and Machine Learning, students must declare the certificate and have the program formally opened on their record. To request that your certificate be opened, please email the CSE Graduate Program Coordinator: benos@wustl.edu. If you do not officially request it to be opened, it will not appear on your degree record, and you will not be able to graduate with it, and will not be able to ask that it be retroactively applied to your degree after graduating.

Please note that the registrar’s office will only officially add the certificate to the student’s record if the request is approved by the department before the fourth week of the semester, or after the tenth week of the semester. Requests made between the fourth and tenth week of the semester will be reviewed for approval, and the official change will go into effect on the student’s record after the tenth week of the semester.