University of Wisconsin–Madison
MS in Electrical Engineering - Machine Learning and Signal Processing
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
Budget-wise, $26.9K puts this master's program at the 37th percentile on cost — roughly 37% below the $42.9K average across 394 comparable listings. It runs on a full-time schedule (on-campus).
Admission Snapshot
Typical admitted student: A bachelor's degree in electrical engineering, computer engineering, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in signals, systems, and programming. Prerequisites may include linear algebra, probability, and programming experience in Python or MATLAB.
About This Program
UW–Madison's MS in Electrical Engineering with a Machine Learning and Signal Processing focus is grounded in one of the nation's top public research universities, with deep strengths in the mathematical foundations of ML. The program is ideal for engineers who want rigorous, theory-forward training.
Madison's strong research culture and the program's signal-processing emphasis make it distinctive for students targeting roles where ML meets hardware, communications, and sensing.
Why students choose it: Theory-forward ML grounded in signal processing, from a top public research university.
Career Outcomes
Graduates of University of Wisconsin–Madison's MS in Electrical Engineering - Machine Learning and Signal Processing most often target Machine Learning Engineer roles, where reported compensation runs around $130,000. Its focus on Deep Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.
- 1. Machine Learning Engineer
- 2. Signal Processing Engineer
- 3. Embedded Systems Engineer
- 4. Research Scientist in AI
What You'll Learn
- Design and implement machine learning algorithms for signal processing applications.
- Apply advanced signal processing techniques to real-world data analysis.
- Develop neural network models for pattern recognition in electrical systems.
- Optimize ML models using matrix methods and computational tools.
Curriculum Highlights
The 30-credit curriculum emphasizes mathematical foundations of data science and includes a professional development hands-on project, internship, or independent study.
Top Employers
Top employers include tech firms like Google, Intel, NVIDIA, and government research labs such as DARPA and national labs.
Admissions
Admission to University of Wisconsin–Madison's MS in Electrical Engineering - Machine Learning and Signal Processing generally expects a bachelor's degree in engineering or related field. The GRE is optional here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 3
- Resume: Required
- Transcripts: Official transcripts required
Frequently Asked Questions
What makes University of Wisconsin–Madison's MS in Electrical Engineering - Machine Learning and Signal Processing stand out?
An accelerated, course-only master’s program intended for students seeking an advanced entry into a data science career in industry.
Does University of Wisconsin–Madison offer the MS in Electrical Engineering - Machine Learning and Signal Processing in an online format?
This program is listed as on-campus, so plan for on-campus attendance. University of Wisconsin–Madison may offer other online AI options — verify current formats before applying.
How much does the MS in Electrical Engineering - Machine Learning and Signal Processing cost?
We estimate total tuition at roughly $26.9K, below the $42.9K average for comparable AI master's programs in our database. Tuition changes yearly and excludes fees and living costs, so treat this as a planning figure and confirm with University of Wisconsin–Madison.
Does the MS in Electrical Engineering - Machine Learning and Signal Processing require the GRE?
No — University of Wisconsin–Madison does not require the GRE for this program, which is increasingly common among AI programs. A strong transcript, projects and recommendation letters carry more weight.
How long does the MS in Electrical Engineering - Machine Learning and Signal Processing take to complete?
Most students finish in about 1 year for full-time enrollment. Accelerated or part-time tracks may change the timeline.
What jobs can you get with the MS in Electrical Engineering - Machine Learning and Signal Processing?
Graduates commonly pursue roles such as Machine Learning Engineer, with reported pay around $130,000. Actual outcomes depend on your prior experience, portfolio and location — see our AI salary guide for current, source-cited ranges.
Student Reviews
Loading reviews...
Ready to Apply?
Visit the official program page for the latest deadlines, tuition, and application requirements.