Drexel University School of Engineering 72 courses
The BS/MS in Computer Engineering and Machine Learning Engineering is an accelerated degree program that provides academically qualified students the opportunity to develop technical depth and breadth in their major and an additional complementary related area, earning two diplomas (BS and MS) within the typical duration of earning the bachelor's degree alone. A natural progression from the student's undergraduate courses, with the necessary technical prerequisite understanding and skills, prepares students for graduate-level studies. Students can still enjoy the benefits and rewards of the Drexel co-op experience and gaining research experience by working with research faculty. Salaries for students with MS degrees can be about 25% higher than those with BS degrees.
General Education/Liberal Studies Requirements
Foundation Requirements
Professional Requirements
Senior Design
| Code | Course Title | Credits |
|---|---|---|
| ECE 491 | [WI] Senior Design Project I | 3 |
| ECE 492 | [WI] Senior Design Project II | 3 |
| ECE 493 | [WI] Senior Design Project III | 3 |
CE Core Elective (choose one of the following)
| Code | Course Title | Credits |
|---|---|---|
| ECE 370 | Electronic Devices | 3 |
| ECE 371 | Foundations of Electromagnetics for Computing & Wireless Systems | 3 |
| ECE 380 | Fundamentals of Power and Energy | 3 |
| Total CE Core Elective (choose one of the following) | 3 credits | |
Core Courses
| Code | Course Title | Credits |
|---|---|---|
| ECE 610 | Machine Learning & Artificial Intelligence | 3 |
| ECE 612 | Applied Machine Learning Engineering | 3 |
| ECE 687 | Pattern Recognition | 3 |
| ECES 521 | Probability & Random Variables | 3 |
Aligned Mathematical Theory Courses
| Code | Course Title | Credits |
|---|---|---|
| ECES 522 | Random Process & Spectral Analysis | 3 |
| ECES 523 | Detection & Estimation Theory | 3 |
| ECES 811 | Optimization Methods for Engineering Design | 3 |
| ECET 602 | Information Theory and Coding | 3 |
| MATH 504 | Linear Algebra & Matrix Analysis | 3 |
| MATH 510 | Applied Probability and Statistics I | 3 |
| Total Aligned Mathematical Theory Courses | 6 credits | |
Signal Processing
| Code | Course Title | Credits |
|---|---|---|
| ECES 631 | Fundamentals of Deterministic Digital Signal Processing | 3 |
| ECES 681 | Fundamentals of Computer Vision | 3 |
| ECES 682 | Fundamentals of Image Processing | 3 |
| Total Signal Processing | 3 credits | |
Applications
| Code | Course Title | Credits |
|---|---|---|
| ECE 686 | Cell & Tissue Image Analysis | 3 |
| ECES 620 | Multimedia Forensics and Security | 3 |
| ECES 641 | Bioinformatics | 3 |
| ECES 650 | Statistical Analysis of Genomics | 3 |
| ECES 660 | Machine Listening and Music IR | 3 |
| Total Applications | 3 credits | |
Transformational Electives
| Code | Course Title | Credits |
|---|---|---|
| COM 610 | Theories of Communication and Persuasion | 3 |
| Total Transformational Electives | 6 credits | |
Mastery (Thesis and Non-Thesis Option)
| Code | Course Title | Credits |
|---|---|---|
| ECE 898 | Master's Thesis | 1-12 |
| Total Mastery (Thesis and Non-Thesis Option) | 6 credits | |
Click a course code or title to read the full course description.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.