University of Wisconsin–Madison
BS in Computer Engineering - Machine Learning and Data Science
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources — see our methodology.
How this program compares
At an estimated $55.6K in total tuition, the BS in Computer Engineering - Machine Learning and Data Science sits roughly 36% below the $86.6K average for AI bachelor's programs in our database — placing it in the 47th percentile on cost among the 232 we track at this level.
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. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 4 years.
Estimated total tuition is $55.6K, below the $86.6K average for AI bachelor's programs in our database and in the 47th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Begin Machine Learning Engineer career in Engineering AI with machine learning focus Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.
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+)
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