BachelorOn-CampusFull-Time

University of Wisconsin–Madison

BS in Computer Engineering - Machine Learning and Data Science

Madison, Wisconsin4 years$56K total tuition
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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.

Est. Salary$120,000
Job Growth+23%
Top RoleMachine Learning Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
High School Diploma
Duration
4 years
Est. Tuition
$56K total
Format
On-Campus
Schedule
Full-Time
GRE / GMAT
Not Required
Concentrations
Machine Learning, Deep Learning

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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