The certificate program provides education on both Theoretical Foundation (TF) of Data Engineering and Applications (AP) of Data Engineering in specific engineering domains. The certificate requires completing 12 credits of coursework. At least 6 credits must be taken from courses listed under the Theoretical Foundation (TF) category. These courses provide training on the central theory and methods of Data Engineering, informed by physical and dynamical models that generally arise in engineering processes. At least 3 credits must be taken from courses listed under the Applications (AP) category. These courses provide training on applications of Data Engineering methods in specific engineering domains, by tailoring and applying data analysis to specific data acquisition techniques and models that are suitable for a particular engineering domain. The domains currently include Signal and Image Processing, Biomedical Engineering, Computer Engineering, and Systems Engineering.
Students interested in graduate work should refer to CSU's Graduate and Professional Bulletin.
Learning Objectives
Students will:
- Think critically about Data Engineering.
- Communicate effectively both with technical experts in their field and with experts from related fields who do not have a specific background in Data Engineering.
- Assimilate advanced knowledge from disciplines of science and engineering to broaden their expertise in Data Engineering.
Effective Fall 2025
Additional coursework may be required due to prerequisites.
| Code | Title | Credits |
|---|---|---|
| Theoretical Foundations (TF) | ||
| Select a minimum of 6 credits from the following: 1 | 6-9 | |
| Applications of Random Processes | ||
| Optimization Methods--Control and Comm. 1 | ||
or ENGR 510 | Engineering Optimization: Method/Application | |
| Adaptive Systems and Machine Learning | ||
| Estimation and Filtering Theory | ||
| Analytics in Systems Engineering | ||
| Applications (AP) | ||
| Select a minimum of 3 credits from the following list of courses for specific engineering application domains: | 3-6 | |
| AP: Signal and Image Processing | ||
| Digital Signal Processing | ||
| Digital Image Processing | ||
| AP: Biomedical Engineering | ||
| Advanced Optical Imaging | ||
| Biological Physics | ||
| Biomedical Signal Processing | ||
| Machine Learning in Imaging and Spectroscopy | ||
| AP: Computer Engineering | ||
| Network Centric Systems | ||
| Embedded Systems and Machine Learning | ||
| Computer Architecture | ||
| Hardware/Software Design of Embedded Systems | ||
| Internet Engineering | ||
| AP: Satellites and Remote Sensing | ||
| Applied Electromagnetics | ||
| Microwave Theory and Component Design | ||
| AI for Radar and Remote Sensing | ||
| Satellite Data Analysis | ||
| Global Navigation Satellite Systems | ||
| AP: Systems Engineering | ||
| Dynamics of Complex Engineering Systems | ||
| Engineering Data Design and Visualization | ||
| Security Engineering for Systems Engineers | ||
| Secure Vehicle and Industrial Networking | ||
| Cybersecurity Awareness for Systems Engineers | ||
| Program Total Credits | 12 | |
*This certificate may have courses in common with other graduate certificates. A student may earn more than one certificate, but a given course may be counted only in one certificate.