Strengthen your ability to use machine learning and AI tools to solve engineering problems and improve technical decision making.
UW–Madison’s online Capstone Certificate in Artificial Intelligence for Engineering Data Analytics is designed for working professionals who want practical, engineering-focused AI skills. Courses are fully online and structured to help you learn modern algorithms, modeling techniques, and data analysis methods while continuing full-time work.
| Certificate awarded | Capstone Certificate in Artificial Intelligence for Engineering Data Analytics |
| Credits | 9 graduate credits |
| Format | 100% Online, part-time friendly |
| Duration | 2-3 semesters (part-time) |
| Tuition | $1,300/credit |
| Start | Fall / Spring / Summer |
| Application Deadlines | Spring: December 1 Summer: June 1 Fall: August 1 |
Is This Program Right for You?
Strengthen your engineering career with advanced AI skills. This flexible online program is built for engineers and technical professionals who want to apply generative AI, machine learning, and engineering-specific analytics to real-world challenges. Complete the program in just two or three semesters — without disrupting your career.
- Build in-demand skills in AI, machine learning, and engineering data analytics
- Apply what you learn to real-world problems through hands-on projects
- Complete the program 100% online in two or three semesters
- Prepare to lead or support AI-driven initiatives in engineering settings
Online by Design
Our courses blend recorded instructor materials, applied activities, and structured opportunities for interaction. This intentional design supports strong engagement, clear guidance, and meaningful results.
Why This Program?
26 years
of delivering interactive online education, reflecting deep experience designing high-quality online programs for working professionals.
#9 graduate ranking
among U.S. public universities
U.S. News & World Report, 2024
Student Experience
Gain hands-on experience with generative AI tools, machine learning techniques, and engineering analytics, while learning to apply them responsibly. You’ll master predictive modeling and decision analysis to turn complex engineering data into clear, actionable insights.
- Generative AI-driven data analysis and decision-making
- Predictive modeling for engineering problems
- Machine learning methods for technical systems
- Automation and optimization with AI tools
- Visualization and interpretation of complex data
- Responsible and ethical use of AI in engineering
Curriculum and Requirements
The capstone certificate in Artificial Intelligence for Engineering Data Analytics is a nine-credit program that is designed to be completed in three consecutive terms of three credits each, with one course per term.
Live course web sessions are scheduled in the evening to accommodate working professionals. All other weekly assignments can be completed on days and times of your choice. Plan for roughly 3 to 4 hours of work per credit each week. For a 3-credit course, this usually means 9 to 12 hours, depending on the course and your professional background.
This is an accordion element with a series of buttons that open and close related content panels.
Required Courses
Elective Courses (select 1)
Tuition and Financial Aid
$1,300 per credit payable at the beginning of each semester. Students are billed for courses in which they are enrolled each term. There is no lump sum payment plan.
Tuition includes:
- Technology costs for internet course delivery
- Live web-conferencing
- Toll-free telephone line for the audio portion of conference calls
- Library use
- Use of the web-conferencing software for group project work for program courses
See Tuition & Cost for more information.
Employer Support
Many students receive some financial support from their employers. Often, students find it beneficial to sit down with their employer and discuss how this program applies to their current and future responsibilities. Other key points to discuss include how participation will not interrupt your work schedule.
Federal Loans
Students who are U.S. citizens or permanent residents are eligible to receive some level of funding through the Federal Direct loan program. These loans are available to qualified graduate students who are taking at least four credits during the fall and spring semesters, and two credits during Summer. Private loans are also available. Learn more about financial aid.
Admissions and Events
This is an accordion element with a series of buttons that open and close related content panels.
Admission requirements
All applicants must:
- Have a Bachelor of Science in engineering or a related STEM field from an accredited institution.
- Have a minimum undergraduate GPA of 2.75 on the last 60 semester hours of coursework.
- Submit evidence of English language proficiency, if applicable. See the Graduate School Requirements for more information.
The admissions committee considers exceptions to standard requirements on an individual basis.
Application materials
- Online application
- Resume/CV
- Transcripts
- Optional: Two letters of recommendation
For complete application details visit UW–Madison’s Guide
Application Deadlines by Term:
| Summer 2026 | June 1, 2026 |
| Fall 2026 | August 1, 2026 |
| Spring 2027 | December 1, 2026 |
Online Graduate Programs Overview
Tuesday, January 13, 2026
5-5:30 PM CT
Join program staff for a conversation about our programs, including curriculum, application process and career impact.
Online Graduate Programs Overview
Tuesday, February 10, 2026
12-12:30 PM CT
Join program staff for a conversation about our programs, including curriculum, application process and career impact.
Online Graduate Programs Overview
Tuesday, March 10, 2026
5-5:30 PM CT
Join program staff for a conversation about our programs, including curriculum, application process and career impact.
Program Overview: Engineering Data Analytics MEng
Wednesday, April 1, 2026
12-12:30 PM CT
Join program staff to get more information about the Engineering: Engineering Data Analytics MEng program including curriculum, application process and potential career paths.
Faculty and Staff
FAQ
This is an accordion element with a series of buttons that open and close related content panels.
Q: Is the program fully online?
A: Yes. The Capstone Certificate in Artificial Intelligence for Engineering Data Analytics is 100% online and designed for working professionals.
Q: How long does it take to complete?
A: Most students finish in three semesters while working full time.
Q: What is the tuition?
A: Tuition is charged per credit. See Tuition & Fees for more information.
Q: Can I keep working full time?
A: Yes. Courses are designed for part-time study alongside a full-time job.
Q: Do credits apply toward a master’s degree?
A: All credits from this program transfer to the online Engineering Data Analytics M.Eng. degree program. Some credits may be eligible to apply toward other UW-Madison online engineering master’s programs; contact the program office for details.
Q: How do I apply?
A: Submit your application through our Professional Degrees & Certificates site. See Admissions for details or click here.
Ready to lead with confidence? Advance your career with UW–Madison’s online Capstone Certificate in Artificial Intelligence for Engineering Data Analytics.
Stay connected on LinkedIn
Join our community of engineers, alumni, and faculty. Follow us for program news, upcoming events, and leadership insights.
Featured Content
Explore Similar Programs
Engineering Data Analytics
Build skills in machine learning, data science, and visualization with UW–Madison’s online Engineering Data Analytics master’s—designed for engineers.
Applied Engineering Management
Build skills in leadership, analysis, and decision-making with UW–Madison’s Capstone Certificate in Applied Engineering Management: a flexible, stackable credential.
Engineering Management
Advance your career with UW–Madison’s online MS in engineering management. Gain leadership, strategy, and data skills in an interactive online format.