Applied Machine Learning for Chemists and Engineers
Why this certificate?
This 10 credit hour graduate certificate offers a broad, interdisciplinary, practical, experience that students can leverage in the start of their careers. This program will provide students with experience working in research teams of various expertise and strengthen their ability to communicate and work effectively across disciplines.
Frequently Asked Questions
Students with graduate standing at KU, typically in Chemical & Petroleum Engineering, Chemistry, or Electrical Engineering & Computer Science, Bioengineering (starting Fall 2025), Mechanical Engineering, (starting Fall 2025), or Civil and Environmental Engineering (starting Fall 2025) are eligible to enroll in the certificate program. If you are not in one of these departments, you may still apply but there is a research hour requirement in one of the above departments (see course requirements).
Email amcm@ku.edu if you would like to discuss adding your department to the list. It takes ~1 year for changes to the curriculum to take effect.
This program is not currently offered online.
Applications require a 1-page personal statement and a resume/curriculum vitae. Certificate-only applications will also require a letter of recommendation.
Application and subsequent acceptance is required prior to completing the coursework requirements to earn the certificate per the KU Graduate Credit Policy.
You may apply for the certificate as soon as you are an enrolled student with graduate standing at KU. Application and subsequent acceptance is required prior to completing the coursework requirements to earn the certificate per the KU Graduate Credit Policy so plan your application submission accordingly.
Required Courses
C&PE 715 | Topics in Chemical and Petroleum Engineering: Applied Machine Learning for Scientists and Engineers - 3 credit hours, even Springs only
C&PE 802 | CEBC Colloquium- 1 credit hour (2 semesters at 0.5 credit hours each, they do not need to be successive semesters)
& Choose One (at least 3 credit hours) Research Course:
C&PE Students: C&PE 803 or C&PE 904 | Research - 3-6 credit hour(s)
CHEM Students: CHEM 800 or CHEM 899 or CHEM 900 or CHEM 999 | Research - 3-10 credit hour(s)
EECS Students: EECS 891 or EECS 899 or EECS 998 or EECS 999 | Research - 3-5 credit hour(s)
BIOE Students: BIOE 899, or BIOE 999 | Research - 3-6 credit hour(s) (added as of Fall 2025)
ME Students: ME 899, or ME 999 | Research - 3-6 credit hour(s) (added as of Fall 2025)
CE Students: CE 899, or CE 999 | Research - 3-10 credit hour(s) (added as of Fall 2025)
& Choose One (3 credit hour) Data Science Course:
C&PE 778 | Applied Optimization Methods - 3 credit hours
CHEM 914 | Computational Methods in Physical Sciences - 3 credit hours
EECS 649 | Introduction to Artificial Intelligence - 3 credit hours
EECS 767 | Information Retrieval - 3 credit hours
EECS 835 | Advanced Data Science - 3 credit hours
EECS 836 | Machine Learning - 3 credit hours
Graduate certificate policies are in accordance with the Registrar’s regulations on Academic Transcripts, the University officially records and recognizes completion of a graduate certificate by noting the achievement on the transcript. Ceremonial certificate documents may be available upon request.
Tuition and fees for this certificate will be charged at the regular rate. This certificate is not eligible for financial aid as a stand-alone certificate (i.e. nondegree-seeking students); however, the certificate will be part of any aid or tuition support package for eligible degree-seeking students.