University of Wisconsin–Madison

How this program compares

At an estimated $36K in total tuition, the MS in ECE: Machine Learning & Signal Processing sits roughly 15% below the $42.4K average for AI master's programs in our database — placing it in the 55th percentile on cost among the 531 we track at this level.

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 coursework in linear algebra, probability, signals and systems, and programming; relevant research or professional experience strengthens applications.

About This Program

This professional master's degree prepares students for data science careers through a focus on machine learning and signal processing. Coursework concentrates on Deep Learning and Machine Learning. Most students complete it in about 1.33 years.

Estimated total tuition is $36K, below the $42.4K average for AI master's programs in our database and in the 55th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Lead as Machine Learning Engineer in Engineering AI with machine learning expertise Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $130,000.

Career Outcomes

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

• 1. Machine Learning Engineer
• 2. Signal Processing Engineer
• 3. Computer Vision Specialist
• 4. Research Scientist in ECE

What You'll Learn

• Design and implement machine learning algorithms for signal data processing.
• Apply signal processing techniques to real-world ECE applications like imaging and communications.
• Analyze data using matrix methods and statistical models in ML contexts.
• Develop neural networks and deep learning models for signal analysis tasks.

Curriculum Highlights

The 16-month curriculum features matrix methods, neural networks, random signal analysis, and a professional development hands-on project.

Top Employers

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.

Admissions

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.

Application Materials

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

Academic Requirements

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