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 strong performance in math and science courses (calculus, physics) is required, along with a minimum GPA of 3.0 and SAT/ACT scores (optional at many institutions).

About This Program

An undergraduate option within the 120-credit Computer Engineering degree focusing on the mathematical foundations, tools, and practices associated with machine learning and data science.

Career Outcomes

Launch Machine Learning Engineer career in Cross-Industry AI with machine learning focus

• 1. Machine Learning Engineer
• 2. Data Scientist
• 3. Embedded AI Systems Engineer
• 4. Computer Vision Engineer

What You'll Learn

• Design and optimize hardware-software systems for ML applications
• Implement machine learning models for data-driven decision making
• Analyze large datasets using statistical and computational methods
• Develop AI algorithms for real-world engineering problems

Curriculum Highlights

The curriculum utilizes elective credits to cover matrix methods, artificial neural networks, database management systems, and the ethics of data for engineers.

Top Employers

Top employers include tech giants like Google, Microsoft, NVIDIA, and Intel, along with AI startups and engineering firms.

Admissions

High school diploma or equivalent with strong performance in math and science courses (calculus, physics) is required, along with a minimum GPA of 3.0 and SAT/ACT scores (optional at many institutions).

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+)