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-DS Degree Online
CORE COURSES
- Big Data Analytics
- Database & Information Systems
- Machine Learning for Data Science
- Statistics for Data Science
- Computer Systems Programming
- Algorithms & Computation
SPECIALIZED ELECTIVES
- Algorithms for Big Data
- Artificial Intelligence
- Natural Language Processing
- GPU Computing for Machine Learning Systems
- Computer Vision & Comp Photography
- Data Science Capstone
BUILD ON YOUR FOUNDATION
To earn an MSE-DS Online degree, you'll complete ten (10) course units — three (3) foundational courses units, four (4) core course, two (2) technical elective units and one (1) open elective unit. All courses are fully online, and there are no required real-time sessions.
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
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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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$4,027
estimated cost per course (includes tuition and fees)
$40,270 estimated total program cost*
*Tuition and fees are posted as a guide and will 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
FALL 2026 KEY DATES
- Application Opens: December 15, 2025
- Early Admission Deadline: March 2, 2026
- Regular Admission Deadline: May 18, 2026
- Classes Start: August 2026
The MSE-DS Online program is for individuals with a foundational background in computer science (comparable to a CS minor) who want to transform emerging technologies.
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