WI

Master's in ML
On-Campus

University of Wisconsin–Madison

MS in Electrical Engineering – Machine Learning and Signal Processing

  • Madison
About This Program

An accelerated, course-only master’s program intended for students seeking an advanced entry into a data science career in industry.

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What You'll Learn

Students learn quantitative thinking, coding, and practical problem-solving through foundational and cutting-edge methods in machine learning and signal processing.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The 30-credit curriculum emphasizes mathematical foundations of data science and includes a professional development hands-on project, internship, or independent study.
Typical Course Topics
1. Machine Learning Fundamentals 2. Signal Processing 3. Matrix Methods in Machine Learning 4. Artificial Neural Networks 5. Digital Signal Processing 6. Deep Learning for Signal Analysis
Program Specializations:
Deep 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 relevant coursework in signals, systems, and programming. Prerequisites may include linear algebra, probability, and programming experience in Python or MATLAB.
Academic Requirements (Typical)

• Degree Required: Bachelor’s degree in engineering or related field
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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

Excel as Machine Learning Engineer in Cross-Industry 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. Embedded Systems Engineer 4. Research Scientist in AI
Top AI Employers (Industry-Wide):
Top employers include tech firms like Google, Intel, NVIDIA, and government research labs such as DARPA and national labs.
Explore AI Career Paths
Program Details
Duration
  • 1 Year
Tuition
  • 26,880
Format
On-Campus
Specializations
Deep Learning
Official Resources
Program Website
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