University of Wisconsin–Madison

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred, strong performance in math and science courses, and SAT/ACT scores optional depending on the institution.

About This Program

An undergraduate named option that focuses on the mathematics, tools, and practices of machine learning within the broader computer engineering major.

Career Outcomes

Begin Machine Learning Engineer career in Engineering AI with machine learning focus

• 1. Machine Learning Engineer
• 2. Data Engineer
• 3. AI Hardware Engineer
• 4. Computer Vision Specialist

What You'll Learn

• Design and optimize hardware systems for AI and data-intensive applications
• Implement machine learning models for predictive analytics and pattern recognition
• Process and analyze large-scale datasets using engineering tools and frameworks
• Develop AI-driven embedded systems and real-time data processing pipelines

Curriculum Highlights

The curriculum covers 16-17 elective credits focusing on AI-specific topics, including digital signal processing, database management, and the ethics of data.

Top Employers

Top employers include tech giants like Google, Microsoft, NVIDIA, and Intel, as well as research labs and AI startups.

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred, strong performance in math and science courses, and SAT/ACT scores optional depending on the institution.

Application Materials

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

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)