Post-baccalaureate Certificate in Data Science for Chemical and Materials Engineering
This program addresses the need for upskilling of industry scientists and engineers to be able to respond to the rapidly increasing industry demands for AI and data science competency. Through four courses, this certificate provides essential foundational knowledge in data science concepts and tools and their application to chemical and materials engineering. The program is also open to recent graduates in chemical engineering, materials science, and related disciplines who wish to augment their domain expertise with a data science one. Current graduate students may also participate in the certificate program.
Curriculum
The certificate program is a 12 credit program which can be completed in as little as a single semester. To complete the certificate, students must complete 2 courses from the Department of Chemical Engineering and Materials Science, 1 course from the Department of Computer Science and Engineering, and 1 course from the School of Statistics.
Chemical Engineering and Materials Science (choose 2)
| Course Code | Course Name | Credits | Availability |
|---|---|---|---|
CHEN/MATS 5801 | Optimization in Chemical and Energy Systems Engineering | 3 credits | Every Fall |
CHEN/MATS 5802 | Applied Machine Learning in Chemical Engineering and Materials Science | 3 credits | Every Spring |
CHEN/MATS 8201 | Applied Math | 3 credits | Every Fall |
CHEN/MATS 8553 | Data-Driven Molecular Simulation | 3 credits | Periodically |
Computer Science (choose 1)
Course Code | Course Name | Credits | Availability |
|---|---|---|---|
CSCI 5521 | Machine Learning Fundamentals | 3 credits | Every Fall & Spring |
CSCI 5523 | Intro to Data Mining | 3 credits | Periodic Fall & Spring |
CSCI 5707 | Principles of Database Systems | 3 credits | Every Fall |
Statistics (choose 1)
Course Code | Course Name | Credits | Availability |
|---|---|---|---|
STAT 5052 | Statistical and Machine Learning | 3 credits | Periodic Fall & Spring |
STAT 5302 | Applied Regression Analysis | 4 credits | Every Fall, Spring, & Summer |
STAT 5303 | Designing Experiments | 4 credits | Every Fall, Spring, & Summer |
Note that most courses are offered in person. To learn more, read more about coursework requirements or review course times and availability.
Application Requirements
We will review applications on a rolling basis for consideration to start in the program in the fall or spring semester. All application materials should be submitted on the application portal, and we cannot review your application until all of the required materials are submitted.
Required application materials
- Application for Admission submitted via the application portal
- Resume/CV
- Transcripts - Unofficial transcripts from all post-secondary institutions you have attended are required. Please follow the admissions application instructions regarding transcripts.
- Statement of Purpose - Communicate your preparation for advanced study in the chosen field including relevant coursework, research, or industrial experience. Outline your immediate educational and long-range career objectives in relation to the chosen field. Length is ideally less than or equal to 2 pages.
- 2 Letters of Recommendation
- Proof of English Language Proficiency - The University of Minnesota policy requires international and domestic applicants whose first language is not English to provide proof of English Language Proficiency as a condition of admission. CEMS follows the minimum requirements for the ELP on TOEFL, IELTS, or MELAB. If you think you might be exempt from submitting an ELP score, please refer to the English Language Proficiency section of the Graduate School website.
- GRE is not required and if a score is submitted, we will not review out of fairness to other applicants.
Complete this brief inquiry form to learn more about our Post-baccalaureate Certificate in Data Science for Chemical and Materials Engineering.
Contact [email protected] with any questions.