BachelorOn-CampusFull-Time

University of Wisconsin–Madison

BS in Comp Eng: ML & DS

Madison, Wisconsin4 years$45K 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 $44.9K in total tuition, the BS in Comp Eng: ML & DS sits roughly 48% below the $86.6K average for AI bachelor's programs in our database — placing it in the 36th 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
$45K 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 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. Coursework concentrates on Machine Learning and Deep Learning. Most students complete it in about 4 years.

Estimated total tuition is $44.9K, below the $86.6K average for AI bachelor's programs in our database and in the 36th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.

Launch 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 $120,000.

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+)

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