BachelorOn-CampusFull-Time

University of Wisconsin–Madison

BS in Computer Engineering - ML & Data Science

Madison, Wisconsin4 years$100K total tuition
Visit Program Website ↗

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 $100.0K in total tuition, the BS in Computer Engineering - ML & Data Science sits about 16% above the $86.6K average for AI bachelor's programs in our database — placing it in the 71st percentile on cost among the 232 we track at this level.

Est. Salary$130,000 Data Scientist
Job Growth+21%
Top RoleMachine Learning Engineer
FormatOn-Campus

Admission Snapshot

Degree Required
Bachelor of Science
Duration
4 years
Est. Tuition
$100K 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 strong performance in mathematics and science is required. Most programs expect a cumulative GPA of 3.0 or higher and standardized test scores (SAT/ACT); some institutions now make these optional.

About This Program

This computer engineering degree features a specialized option focused on the mathematics and tools of machine learning. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 4 years.

Estimated total tuition is $100.0K, above the $86.6K average for AI bachelor's programs in our database and in the 71st percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.

Begin Machine Learning Engineer career in Cross-Industry AI with machine learning focus Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $127,000.

Career Outcomes

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

  • 1. Machine Learning Engineer
  • 2. Data Scientist
  • 3. AI Systems Engineer
  • 4. Research Scientist (AI/ML)

What You'll Learn

  • Design and implement machine learning algorithms for real-world engineering applications
  • Develop proficiency in programming languages and data processing tools essential for AI systems
  • Analyze large datasets to extract insights and optimize engineering solutions
  • Apply mathematical foundations of linear algebra and statistics to solve complex computational problems

Curriculum Highlights

The curriculum utilizes elective credits for courses in matrix methods, neural networks, database systems, and AI foundations.

Top Employers

Top employers include tech giants like Google, Microsoft, Amazon, and Meta, as well as companies specializing in AI applications across automotive, healthcare, and financial services sectors.

Admissions

High school diploma or equivalent with strong performance in mathematics and science is required. Most programs expect a cumulative GPA of 3.0 or higher and standardized test scores (SAT/ACT); some institutions now make these optional.

Application Materials

  • Statement of Purpose: Optional
  • Letters of Recommendation: 1–2 (optional for undergraduate)
  • Resume: Optional
  • Transcripts: Official high school transcripts required

Academic Requirements

  • Degree Required: Bachelor of Science
  • GRE/GMAT: Not Required
  • TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.