Electrical & Computer Engineering: Machine Learning & Signal Processing MS
Master of Science in Electrical and Computer Engineering
Is this program right for you?
Fast-track into the data science workforce with an accelerated MS in Electrical and Computer Engineering: Machine Learning and Signal Processing. Learn quantitative thinking, coding, and practical problem-solving through a course-only curriculum with a hands-on project. Focused on data science, machine learning, and signal processing, the program prepares you for immediate industry contribution.
- Accelerated, course-based curriculum allowing you to graduate in 12-16 months, no thesis required
- Coursework draws upon foundational and cutting-edge methods and is taught by faculty conducting pioneering research in the field
- Pursue professional development opportunities in the form of an internship or independent study
Education that works for you
The Electrical and Computer Engineering Department offers the Master of Science in Electrical and Computer Engineering: Machine Learning and Signal Processing (MLSP) program which is intended for students looking for an advanced entry into a data science career in industry.
Program type
Master’s degree
Degree awarded
Master of Science in Electrical and Computer Engineering
Commitment
12–16 months
Tuition
$1,200 per credit
Format
Accelerated
Face-to-face
Credits
30 graduate credits
Admission terms
Program only admits for fall term
Offered by
STEM opt eligible
Yes
Supports F-1 Visa
Yes
Learn moreApplication deadlines
Fall 2027
- Deadline: December 15, 2026
Fall 2028
- Deadline: December 15, 2027
Admissions and events
Program requirements
Application materials required
May 28, 2026 from 9 a.m. to 9:45 a.m.
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Register now →Results that work for you
Electrical & Computer Engineering: Machine Learning & Signal Processing MS
$133,078
Median annual salary in 2024, Lightcast™
Job titles
Top industries
Top employers
11.4%
Projected growth for electrical engineers from 2024-2034. Source: Lightcast™ 2024
#9
graduate ranking for electrical engineering among U.S. public universities
U.S. News & World Report, 2025
What you’ll learn
- Machine learning
- Signal processing
- Artificial neural networks
- Information processing
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