Be at the forefront of emerging technologies with Penn State Great Valley’s highly ranked Master of Artificial Intelligence (AI), focused on AI engineering.
This coding-intensive degree builds on prior math and programming experience, equipping you to design, implement, and maintain production-grade AI and machine learning systems and infrastructure. Build mastery in model design and evaluation while strengthening your practical engineering skills, including data management, scalable system design, and robust pipeline development for modern AI workloads.
- Develop mastery of the three primary machine learning paradigms used to analyze and learn from data: supervised learning, unsupervised learning, and reinforcement learning.
- Explore natural language processing, how machines interpret, generate, and synthesize speech and text.
- Understand computer vision, how machines perceive, inspect, and analyze visual information in their environment.
- Apply statistical reasoning, data visualization and predictive analytics principles to collect, prepare, pre-process, and model data, and implement end-to-end data pipelines.
- Design, train, and evaluate AI models, applying best practices in hyperparameter tuning and model validation.
- Participate in a culminating capstone project — Collaborate with classmates to create a fully functional AI product or service, while gaining practical experience in project management, teamwork, and the application of AI solutions to industry challenges.
- Build your experience and your network by engaging in graduate research exhibitions or developing AI solutions for societal challenges through the Nittany AI Alliance.
GMAT/GRE scores are not required for admission to this STEM-designated program.
Artificial Intelligence Program Advantages
- Pursue your degree at your own pace, completing it in as little as two years of part-time study, or 12-18 months of full-time study.
- Join a powerful network of more than 800,000 Penn State alumni around the world.
- Gain a high-quality education from world-class faculty and industry experts in one of the top-ranked programs in the nation, according to U.S. News & World Report.
- Engage in faculty-led, cutting-edge research projects in trustworthy AI, including computer vision, secure and reliable AI, AI for software engineering, virtual reality and simulation, and AI analytics systems and services.
- Participate in educational events offered through the Finance Innovation Research and Education (FIRE) Lab, allowing you to network with industry experts and learn to adapt to the evolving landscape of finance and technology.
- Choose to simultaneously pursue another degree as part of the concurrent degree program.
Flexible Delivery Formats: Hybrid or Online
- Hybrid: Combine flexibility with the advantages of in-person instruction on our campus with state-of-the-art research labs. Courses run for seven weeks, often meeting once a week and alternating between in-person and online sessions. Some courses may be delivered fully online. Hybrid courses meet requirements for international students studying on an F-1 or J-1 visa.
- Fully Online: To learn about our fully online delivery option, visit the Master of Artificial Intelligence via World Campus.
Master of Artificial Intelligence Curriculum
The 30-credit program provides a professional, coding-intensive education in developing and deploying scalable AI and machine learning systems while implementing robust data pipelines that support real-time or batch AI workloads. This program is challenging and interactive, offering a collaborative learning experience with expert faculty and motivated peers.
Gain production-grade engineering skills in predictive analytics, data-driven modeling, managing large datasets, statistical learning, and performance optimization, which allow you to not only analyze data but translate it into actionable insights.
The master's program gave me the flexibility to achieve my higher education goals in studying AI while working full-time. The courses I took, especially machine vision and reinforcement learning, as well as a research project I did involving automatic dysarthric speech recognition, were challenging and rewarding experiences. I am certain the Master of Artificial Intelligence program has set me up for future success in such an exciting field.
Stackable Artificial Intelligence Certificates
Demonstrate your new skills prior to earning your master’s degree through our stackable Graduate Certificates. You can earn the following certificates within the curriculum of the Master of Artificial Intelligence degree:
- Foundations of Artificial Intelligence - A 9-credit certificate covering AI disciplines, focusing on modeling, designing, developing, and testing data-centric AI systems.
- Natural Language Processing - A 9-credit graduate certificate on the interaction between computers and human language.
- Computer Vision - A 9-credit certificate on designing and applying machine-vision systems to interpret visual information and make decisions.
Certificate earners are awarded a digital badge for each certificate they complete.
