Drexel University School of Engineering 25 courses 45-46 total credits
The Master of Science in Machine Learning Engineering (MSMLE) at Drexel University is a comprehensive program designed to equip students with the skills and knowledge necessary to excel in the rapidly evolving field of machine learning. The curriculum emphasizes core machine learning topics, mathematical theory, and signal processing, providing a solid foundation for designing, implementing, and applying machine learning algorithms to real-world problems. Students gain expertise in leveraging industry-leading software tools such as TensorFlow, Keras, and scikit-learn for rapid prototyping and development of advanced machine learning systems. The program also introduces novel computing architectures and cutting-edge applications across industries like healthcare, bioengineering, smart cities, cybersecurity, and more.
| Total Credits | 45-46 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
Applications
| Code | Course Title | Credits |
|---|---|---|
| ECE 613 | Neuromorphic Computing | 3 |
| ECE 617 | Reinforcement Learning | 3 |
| 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 |
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 |
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 | |
Optional Co-op Experience
| Code | Course Title | Credits |
|---|---|---|
| COOP 500 | Career Management and Professional Development for Master's Degree Students | 1 |
| Total Optional Co-op Experience | 0-1 credits | |
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