WI

Master's in ML
On-Campus

University of Wisconsin–Madison

MS in ECE: Machine Learning & Signal Processing

  • Madison
About This Program

This professional master’s degree prepares students for data science careers through a focus on machine learning and signal processing.

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What You'll Learn

Students learn quantitative thinking, practical problem-solving, and the mathematical foundations of data science and signal processing.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
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Typical Curriculum Structure
The 16-month curriculum features matrix methods, neural networks, random signal analysis, and a professional development hands-on project.
Typical Course Topics
1. Machine Learning Fundamentals 2. Digital Signal Processing 3. Matrix Methods in Machine Learning 4. Artificial Neural Networks 5. Image Analysis and Computer Vision 6. Statistical Signal Processing
Program Specializations:
Deep Learning
Machine Learning
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
A bachelor’s degree in electrical engineering, computer engineering, or a related field with a minimum GPA of 3.0 is required, along with coursework in linear algebra, probability, signals and systems, and programming; relevant research or professional experience strengthens applications.
Academic Requirements (Typical)

• Degree Required: Bachelor’s in ECE or related field
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 92+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Lead as Machine Learning Engineer in Engineering AI with machine learning expertise

Industry Data: The following salary and job data reflects typical industry trends for AI professionals, not specific to New York University. Individual outcomes vary based on skills, location, and experience.

Estimated Industry Salary
Machine Learning Engineer: $130,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. Signal Processing Engineer 3. Computer Vision Specialist 4. Research Scientist in ECE
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, NVIDIA, Qualcomm, and Intel, as well as government labs and research institutions focused on AI and signal processing technologies.
Explore AI Career Paths
Program Details
Duration
  • 1.33 Year
Tuition
  • 36,000
Format
On-Campus
Specializations
Deep Learning
Machine Learning
Official Resources
Program Website
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