University of Pennsylvania

How this program compares

At an estimated $36.8K in total tuition, the Online MS in Engineering in Artificial Intelligence sits roughly 13% below the $42.4K average for AI master's programs in our database — placing it in the 57th percentile on cost among the 531 we track at this level. It is one of the 57% 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

Excel as Machine Learning Engineer in Engineering AI with machine learning expertise

• 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

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.

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)

Academic Requirements

• Degree Required: Bachelor's degree in STEM field
• GRE/GMAT: Optional (not required for all applicants)
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)