University of Pennsylvania

How this program compares

Budget-wise, $36.8K puts this master's program at the 56th percentile on cost — roughly 14% below the $42.9K average across 394 comparable listings. It is one of the 54% of programs in our database offered fully or partly online.

Admission Snapshot

Typical admitted student: Applicants must hold a bachelor's degree in computer science, engineering, mathematics, or a related field, with demonstrated strong programming skills in languages such as Python, C++, or Java.[1] A minimum GPA of 3.0 and relevant work experience or research background in AI or machine learning are typically preferred.

About This Program

Penn Engineering's online MSE in Artificial Intelligence is an Ivy League AI degree delivered online, covering machine learning, deep learning, and the mathematical foundations of modern AI. It brings Penn's research-driven engineering curriculum to working professionals.

The program is a strong fit for students who want an Ivy credential and rigorous AI engineering training in a flexible format.

Career Outcomes

The Online MS in Engineering in Artificial Intelligence at University of Pennsylvania (Philadelphia, Pennsylvania) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $130,000. Its focus on Machine Learning and Deep Learning 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 36% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. AI Systems Architect
• 4. Data Scientist (AI/ML specialization)

What You'll Learn

• Design and implement machine learning models using frameworks like TensorFlow and PyTorch to solve real-world problems
• Develop deep neural network architectures and apply advanced techniques in supervised, unsupervised, and reinforcement learning
• Build AI applications in computer vision, natural language processing, and robotics with hands-on project experience
• Apply ethical frameworks and responsible AI principles to assess and mitigate bias and risks in intelligent systems

Curriculum Highlights

Core courses include machine learning, statistics for data science, deep learning, technology ethics, and GPU computing for machine learning.

Top Employers

Top employers in AI include tech giants like Google, Microsoft, Meta, Amazon, and Apple, alongside specialized AI firms, consulting companies like McKinsey and Accenture, and major financial institutions.[2

Admissions

Admission to University of Pennsylvania's Online MS in Engineering in Artificial Intelligence generally expects a bachelor's degree in stem field. The GRE is optional 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

• Statement of Purpose: Required
• Letters of Recommendation: 3
• Resume: Required
• Transcripts: Official transcripts required
• Portfolio or Code Samples: Recommended (demonstrating prior AI/ML work)

Frequently Asked Questions