University of Wisconsin–Madison
BS in Computer Engineering - ML & 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 $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.
Admission Snapshot
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+)
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