University of Pennsylvania

How this program compares

At an estimated $252.8K in total tuition, the BS in Engineering in Artificial Intelligence sits about 182% above the $89.8K average for AI bachelor's programs in our database — placing it in the 94th percentile on cost among the 186 we track at this level. It runs on a full-time schedule (on-campus).

Admission Snapshot

Typical admitted student: Applicants must submit SAT or ACT scores, official high school transcripts, school reports, counselor recommendations, and two academic teacher evaluations.[1] The program requires demonstrated strength in mathematics and computer science coursework.

About This Program

This degree provides a foundation in the mathematical and algorithmic techniques of AI, emphasizing the design of software solutions for complex problems. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

Design and implement machine learning algorithms for real-world applications across healthcare, finance, and technology sectors.

At roughly $252.8K total, University of Pennsylvania's BS in Engineering in Artificial Intelligence sits above the $89.8K average among AI bachelor's programs we track — the 94th percentile on price. Applicants should weigh that premium against the program's outcomes and brand.

It is one of 60 AI-related programs we track in Pennsylvania, of which about 43% offer an online option. On price, it comes in higher than about 95% of the Pennsylvania programs in our data, where typical tuition runs near $81.1K.

Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $125,000.

Career Outcomes

University of Pennsylvania positions this bachelor track for AI Research Scientist careers — typical offers cluster around $125,000. Its focus on Machine Learning and AI Engineering / Applied AI maps directly to how employers in engineering ai screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 15% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. AI Engineer
• 2. Machine Learning Specialist
• 3. Data Scientist
• 4. Research Analyst

What You'll Learn

• Design and implement machine learning algorithms for real-world applications across healthcare, finance, and technology sectors
• Develop artificial intelligence systems with consideration for ethical implications, algorithmic fairness, and responsible AI deployment
• Apply computer vision and natural language processing techniques to solve complex technical problems
• Conduct independent research and capstone projects demonstrating practical AI engineering expertise

Curriculum Highlights

The curriculum includes computer science, statistics, machine learning, symbolic computation, and specialized electives in vision and language.

Top Employers

Top employers for AI graduates include technology companies like Google, Meta, and Microsoft, as well as financial institutions, healthcare organizations, and research labs that leverage AI applications.[1

Admissions

Admission to University of Pennsylvania's BS in Engineering in Artificial Intelligence generally expects a high school diploma or equivalent. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

• Personal Essay: Penn-specific essay required
• Letters of Recommendation: 2 (academic teachers)
• School Report: Required
• Transcripts: Official high school transcript required
• Standardized Test: SAT or ACT required

Frequently Asked Questions