Master of Engineering, Plan C, Chemical Engineering Specialization is a coursework-based program in which students will learn from world-renowned experts how to identify, formulate and solve complex chemical engineering problems using principles of engineering, science, and mathematics. Our program equips students with a diverse skill set essential for the next generation of chemical engineering leaders in academia and industry. Students in the program have access to a wide range of graduate-level courses on the state of the art in chemical engineering technologies, including advanced polymeric materials, bioanalytical devices, biomedical science and engineering, systems biology, synthetic biology, and biomanufacturing.
Students interested in graduate work should refer to the Graduate and Professional Bulletin.
Learning Objectives
Upon successful completion of this program, students will be able to:
- Demonstrate technical mastery of the core chemical engineering disciplines of thermodynamics, transport phenomena, and chemical reaction engineering.
- Competently and professionally communicate their work in both written and oral forms.
- Identify, formulate, and solve complex chemical engineering problems by applying principles of engineering, science, and mathematics.
- Assimilate information from other related fields of science and engineering to inform their chemical engineering practice and to expand the areas of application of their chemical engineering expertise.
Effective Fall 2025
| Code | Title | Credits |
|---|---|---|
| Core Courses: | 7-12 | |
| Take the courses below in chemical engineering principles and mathematical modeling: | 12 | |
| Chemical Engineering Thermodynamics | ||
| Advanced Reactor Design | ||
| Transport Phenomena Fundamentals | ||
| Mathematical Modeling for Chemical Engineers | ||
| OR the courses below in chemical and biological engineering principles: | 7 | |
| Chem & Biological Engineering Fundamentals | ||
| Fundamentals of Biochemical Engineering | ||
| Advanced Statistics and Data Science 1 | 0-3 | |
| Quantitative Systems and Synthetic Biology | ||
| Biological Physics | ||
| Biomedical Signal Processing | ||
| Bioengineering | ||
| Quantitative Systems Physiology | ||
| Theory of Population and Evolutionary Ecology | ||
| Computational Approaches in Molecular Ecology | ||
| Embedded Systems and Machine Learning | ||
| Big Data | ||
| Artificial Intelligence | ||
| Machine Learning | ||
| Statistical Machine Learning | ||
| Genomics Data Analysis in Python | ||
| RNA-Sequencing Data Analysis | ||
| Applied Engineering Data Analytics | ||
| R Programming for Research | ||
| Mass Spectrometry Omics-Methods and Analysis | ||
| Microbial Metagenomics/Genomics Data Analysis | ||
| Functional Genomics | ||
| Current Methods in Microbial Genomics | ||
| Design and Data Analysis for Researchers I | ||
| Design and Data Analysis for Researchers II | ||
| Introduction to Probability Theory | ||
| Data Analysis and Regression | ||
| Biostatistical Methods for Quantitative Data | ||
| Statistics for Environmental Monitoring | ||
| Applied Multivariate Analysis | ||
| Engineering Data Design and Visualization | ||
| Biomolecular Engineering Electives 1 | 0-6 | |
| Bioseparation Processes | ||
| Bioremediation | ||
| Advanced Biological Wastewater Processing | ||
| Engineering of Protein Expression Systems | ||
| Biomolecular Engineering/Synthetic Biology | ||
| Biomolecular Engineering Laboratory 1 | 0-1 | |
| Biochemical Engineering Laboratory | ||
| Electives 2 | 13-18 | |
| 5XX - 7XX courses with the course following prefixes: CBE, BIOM, MSE, CIVE, ECE, MECH, SYSE, ENGR, AB, AHS, ANEQ, BC, BMS, BTEC, BZ, CM, CHEM, CS, DSCI, ECOL, ESS, ERHS, FSHN, FTEC, GEOL, GES, GRAD, HORT, LIFE, MATH, MIP, NB, PH, SOCR, STAR, STAA, STAT 2 3 | 7-18 | |
| 4XX courses with the course following prefixes: BIOM, MSE, CIVE, ECE, MECH, SYSE, ENGR, AB, AHS, ANEQ, BC, BMS, BTEC, BZ, CM, CHEM, CS, DSCI, ECOL, ESS, ERHS, FSHN, FTEC, GEOL, GES, GRAD, HORT, LIFE, MATH, MIP, NB, PH, SOCR, STAR, STAA, STAT 2 3 | 0-6 | |
| Program Total Credits | 30 | |
A minimum of 30 credits are required to complete this program.
- 1
Students who choose option (2) in the core courses must take 3 credits in Advanced Statistics and Data Science, 6 credits in Biomolecular Engineering Electives, and 1 credit in Biomolecular Engineering Laboratory.
- 2
For students who choose option (1) in the core courses, take 18 credits of electives, including any additional courses in the categories listed above.
For students who choose option (2) in the core courses, take 13 credits of electives, including any additional courses in the categories listed above
- 3
Neither 400-level CBE courses, nor credit for CBE 693 may be used to satisfy the elective requirement for the M.E. program.
For more information, please visit Requirements for All Graduate Degrees in the Graduate and Professional Bulletin.
Summary of Procedures for the Master's and Doctoral Degrees
NOTE: Each semester the Graduate School publishes a schedule of deadlines. Deadlines are available on the Graduate School website. Students should consult this schedule whenever they approach important steps in their careers.
Forms are available online.
| Step | Due Date |
|---|---|
| 1. Application for admission (online) | Six months before first registration |
| 2. Diagnostic examination when required | Before first registration |
| 3. Appointment of advisor | Before first registration |
| 4. Selection of graduate committee | Before the time of fourth regular semester registration |
| 5. Filing of program of study (GS Form 6) | Before the time of fourth regular semester registration |
| 6. Preliminary examination (Ph.D. and PD) | Two terms prior to final examination |
| 7. Report of preliminary examination (GS Form 16) - (Ph.D. and PD) | Within two working days after results are known |
| 8. Changes in committee (GS Form 9A) | When change is made |
| 9. Application for Graduation (GS Form 25) | Refer to published deadlines from the Graduate School Website |
| 9a. Reapplication for Graduation (online) | Failure to graduate requires Reapplication for Graduation (online) for the next time term for which you are applying |
| 10. Submit thesis or dissertation to committee | At least two weeks prior to the examination or at the discretion of the graduate committee |
| 11. Final examination | Refer to published deadlines from the Graduate School Website |
| 12. Report of final examination (GS Form 24) | Within two working days after results are known; refer to published deadlines from the Graduate School website |
| 13. Submit a signed Thesis/Dissertation Submission Form (GS Form 30) to the Graduate School and Submit the Survey of Earned Doctorates (Ph.D. only) prior to submitting the electronic thesis/dissertation | Refer to published deadlines from the Graduate School website. |
| 14. Submit the thesis/dissertation electronically | Refer to published deadlines from the Graduate School website |
| 15. Graduation | Ceremony information is available from the Graduate School website |