The Applied Machine Learning for Chemists and Engineers certificate is housed in the Department of Chemical and Petroleum Engineering (C&PE) and is focused on interdisciplinary coursework and research. The core departments are C&PE, Chemistry, and EECS (Electrical Engineering and Computer Science) but students from other departments may apply. The certificate trains graduate students on interdisciplinary skills and competencies in machine learning to pursue a wide range of careers. Students will learn to work on collaborative and interdisciplinary machine learning projects through research and coursework which will provide a competitive edge when applying to jobs after graduation. Students complete four courses: two core courses, one research course, and one data science course (10 total credits) which can align with their M.S./Ph.D. electives to minimize additional coursework requirements.
Students must be eligible for graduate standing at the University of Kansas (certificate, degree, or non-degree seeking). All applications require a copy of your resume/C.V. and a brief, one-page statement of purpose.
Currently enrolled Department of Chemical and Petroleum Engineering graduate students: email Graduate Program Coordinator cpeGrad@ku.edu and nrt@ku.edu with the above documents to be enrolled in the certificate.
Current KU graduate students: apply at https://gograd.ku.edu/register/current_ku_certificate. The application should be no cost.
Certificate-seeking only applicants (not currently enrolled at KU): apply at gradapply.ku.edu/apply with the above documents and contact information for one professional reference.
Deadlines
This program admits students on a rolling basis. Applications can be accepted two-week in advance of semester start in Spring, Summer, and Fall.
Students complete four courses: two core courses, one research course, and one data science course.
Core Courses
Course List | Code | Title | Hours |
| C&PE 715 | Topics in Chemical and Petroleum Engineering: _____ (Applied Machine Learning for Scientists and Engineers) | 3 |
| C&PE 802 | CEBC Colloquium | 1 |
| Total Hours | 4 |
Choose One (3 cr hour) Research Course:
Choose One (3 cr hour) Data Science Course:
Course List | Code | Title | Hours |
| C&PE 778 | Applied Optimization Methods | 3 |
| CHEM 914 | Computational Methods in Physical Sciences | 3 |
| EECS 649 | Introduction to Artificial Intelligence | 3 |
| EECS 835 | Advanced Data Science | 3 |
| EECS 836 | Machine Learning | 3 |
| EECS 767 | Information Retrieval | 3 |
