DeVry University College of Engineering & Information Sciences 19 courses 39 total credits
DeVry’s Engineering Technology undergraduate certificate program provides students with foundational knowledge and readily marketable skills for entry-level positions in a variety of technical fields. The curriculum includes information technology essentials, which are complemented by technical coursework applicable to many disciplines. Students also explore system automation. The program offers focused areas of study, as shown in the program outline.
| Tech Foundations | 16 credits |
| Program Focus | 13 credits |
| Machine Learning and Design Techniques | 10 credits |
| Total Credits | 39 credits |
Tech Foundations
| Code | Course Title | Credits |
|---|---|---|
| MATH114 | Algebra for College Students | 4 |
| TECH101 | Technology Fundamentals | 3 |
| TECH110 | Coding and Scripting | 3 |
| TECH112 | AI in Industry | 3 |
| TECH114 | Connected Digital Devices | 3 |
| Total Tech Foundations | 16 credits | |
Program Focus
| Code | Course Title | Credits |
|---|---|---|
| CEIS298 | Introduction to Technical Project Management | 1 |
| ECT226 | Electronic Device and System Foundations | 3 |
| ECT286 | Automation and Control | 3 |
Program Focus - Complete 2 of the following:
| Code | Course Title | Credits |
|---|---|---|
| CEIS490 | Ecosystem of The Internet of Things | 3 |
| ECT260 | Manufacturing Techniques | 3 |
| ECT308 | Introduction to Computer-Aided Design | 3 |
| ECT313 | Generative Design | 3 |
| ECT315 | Industrial IoT | 3 |
| ECT320 | Manufacturing Processes and Systems | 3 |
| ECT325 | Electromechanical Systems | 3 |
| SIS180 | Introduction to Machine Learning and Artificial Intelligence | 3 |
| Total | 13 credits | |
Machine Learning and Design Techniques
Students choosing to complete ECT313 within the Machine Learning and Design Techniques Option must take ECT308 as part of the Program Focus course area.
| Code | Course Title | Credits |
|---|---|---|
| TECH221 | Data-Driven Decision-Making | 4 |
Machine Learning and Design Techniques - Complete 2 of the following:
| Code | Course Title | Credits |
|---|---|---|
| ECT313 | Generative Design | 3 |
| TECH231 | Introduction to Artificial Intelligence Applications | 3 |
| TECH310 | Process Improvement | 3 |
| Total | 10 credits | |
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