Get the Career Outcomes Report
How will this program accelerate your career? Our annual Career Outcomes report tracks where graduating students land — employers, roles, and locations worldwide.
Top Employers from Respondents to the 2025 Report
Earn an MSE-AI Degree Online
CORE COURSES FOR MSE-AI
- Artificial Intelligence
- Natural Language
- Machine Learning for Data Science
- Statistics for Data Science
- Principles of Deep Learning
- Technology Ethics and the Legal Landscape
EXAMPLE LIST OF ELECTIVES
- CORE: Internet and Web Systems, or
- CORE: GPU Computing for Machine Learning
- TECH: Algorithms for Big Data
- TECH: Networked Systems
- TECH: Computer Vision & Comp Photography
- TECH: Artificial Intelligence Capstone
CS UNDERGRAD DEGREE REQUIRED
To earn an MSE-AI master’s degree, you’ll complete ten (10) courses — seven (7) core courses, two (2) technical electives and one (1) free elective alongside Penn faculty and classmates from all over the world.
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Get Inside the Program
Watch anytime on YouTube
Explore recordings of past info sessions and webinars on-demand, with no registration required.
Completely Online and Asynchronous
-
10 COURSES
core courses and electives
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16 MONTHS
fastest full-time schedule
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3 YEARS
extended part-time schedule
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$3,859
cost per course
total 10 courses: $38,590 plus applicable fees*
*Tuition and fees may be adjusted on a yearly basis.
Study part-time or full-time — and switch between them any semester. Penn Engineering Online is built around your life, not the other way around.
Career Services at the University of Pennsylvania annually surveys graduating students to provide a snapshot of their post-graduation plans. Download the report with employment data, job function, salary data, employers and locations.
Application Requirements
Spring 2027 Key Dates
- APPLICATION IS OPEN
- Scholarship Deadline: August 3, 2026
- Regular Admission Deadline: October 19, 2026
- Classes Start: January 2027
The MSE-AI Online program is for individuals with an undergraduate degree in computer science, computer engineering, information science, or a related field.