8 Best AI Masters Degrees in Pennsylvania

Are you searching for an AI masters degree program that offers affordability and flexibility? Pennsylvania schools provide some of the most competitive AI education options in the country. To name just one example, Eastern University’s program ranks among the Top 2 Most Affordable with total costs at just $12,870. Penn State offers completion in as little as 18 months. Whether you’re interested in an online masters in AI or a specialized AI and machine learning degree, this list covers eight programs designed to advance your career.

1. Eastern University MS in Applied Artificial Intelligence

Eastern University offers a technically focused MS in Applied Artificial Intelligence designed for professionals seeking hands-on experience with machine learning, cloud-based AI tools, and data engineering. This online masters in AI prioritizes practical implementation over theory and prepares students to build and deploy ground AI solutions across business and technical domains.

Program Overview

The MS in Applied Artificial Intelligence equips students to design, implement, and lead practical AI-driven solutions while addressing the ethical implications of AI technologies that evolve faster. Building, evaluating, and leading applied AI solutions that improve results across industries forms the program’s emphasis, from cloud-based deployments to intelligent customer-facing systems. Students work with faculty and mentors to create a 100% custom AI project tailored to their interests. They might deploy a cloud-based AI solution, build a customer-facing chatbot, or design intelligent systems for ground use cases.

Key Features and Delivery Format

A flexible, self-paced learning structure within 7-week online courses drives the program. Students can complete the standard track in as little as 15 months through 13 courses totaling 39 credits and take 6 credits per 7-week session. New cohorts begin every 7 weeks, with fall 2026 terms starting August 17 and October 5.

Eastern offers an Advanced Standing track for students with a technical background that accelerates completion to 10 months with only 10 courses. Eligibility requires passing an Advanced Standing Readiness quiz or demonstrating technical expertise through a degree in data science, computer science, or related fields. MS-level coursework equivalent education that includes bootcamps or MOOCs also qualifies. Applicants need a minimum undergraduate GPA of 3.0, though those below this threshold receive case-by-case consideration with a GPA letter submission.

Curriculum and Specializations

Core courses cover foundational and advanced AI applications. DTSC 545 Introduction to Prompt Engineering teaches students to control Large Language Models. The course covers foundational AI concepts, core prompting techniques, and advanced strategies across business fields of all types. DTSC 670 Foundations of Machine Learning Models introduces the machine learning landscape and covers supervised and unsupervised learning, regression and classification models, and support vector machines taught in Python.

DTSC 671 AI Solutions in the Cloud focuses on situations where AI or ML solutions prove advantageous in cloud computing environments. Students utilize common and advanced cloud services to create automated solutions. DTSC 680 Applied Machine Learning continues learning modern machine learning applications and covers neural networks and deep learning with emphasis on model selection and tuning. DTSC 685 Natural Language Processing introduces NLP algorithms and provides experience writing algorithmic code in Python while working through text-based machine learning problems.

The capstone sequence has DTSC 690, which explores contemporary ethical and philosophical issues in data science and AI. Topics range from social media privacy to implications of machine learning for religiousness. DTSC 691 requires students to complete an applied data science project that integrates their learning across courses.

Tuition and Financial Aid

Total tuition and program fees combined reach $12,870 for 2026-2027. The Advanced Standing track costs $9,900 total. Federal and state financial aid options are available, along with military benefits. The program earned recognition among the Top 2 Most Affordable Online Master’s in Artificial Intelligence Programs in the country.

Career Outcomes

Graduates prepare for roles as machine learning engineers, AI solutions developers, NLP engineers, data scientists, and AI business strategists. Cloud-based deployments and intelligent customer-facing systems receive practical focus in the program and position graduates to address ground AI challenges across industries. Eastern’s faculty approach AI education as available rather than intimidating and emphasize technology use for human flourishing and the common good.

2. Penn State Great Valley Master of Artificial Intelligence

Penn State Great Valley delivers a STEM-designated ai masters degree program Pennsylvania professionals can complete through hybrid or fully online formats. The program combines rigorous engineering training with practical AI system development. The Master of Artificial Intelligence stands out through its flexible specialization structure and hands-on research opportunities via the Nittany AI Alliance.

Program Overview

The 30-credit Master of Artificial Intelligence offers three distinct pathways to match your professional goals and technical background. The Base Program provides broad training across foundational AI concepts, data analytics, and ethical AI practices for students who seek complete understanding across multiple industries. The AI Engineering Option targets students with programming experience who want to design, implement, and deploy AI and ML systems. It emphasizes technical rigor in deep learning, natural language processing, predictive analytics, computer vision, and flexible system design. The Applied and Generative AI Option serves professionals who aim to bring innovation and digital transformation using low-code/no-code tools and generative AI platforms. This option bridges technical AI capabilities with organizational needs.

All pathways require you to maintain a minimum 3.0 GPA throughout the program. GMAT/GRE scores are not required to gain admission.

Key Features and Delivery Format

You can complete this AI and machine learning degree in as little as 18 months of full-time study or two years part-time. Hybrid courses combine flexibility with in-person instruction at state-of-the-art research labs. They run seven weeks with alternating in-person and online sessions. The brick-and-mortar lab spaces enable you to physically build and test prototypes. One student team used the engineering lab to create smartphone camera components with an AI system that diagnoses eye diseases for rural mobile healthcare teams.

The program offers stackable certificates that build toward your master’s degree. You can earn graduate certificates in Foundations of Artificial Intelligence (9 credits), Natural Language Processing (9 credits), and Computer Vision (9 credits). You receive digital badges for each completion. This structure allows you to upskill and become more marketable before you finish the entire program.

Curriculum and Specializations

The 30-credit curriculum consists of 9 credits of common core courses, 9 credits of prescribed courses within your selected specialization, and 9 credits of electives. Required courses include A-I 500 Quantitative Methods, A-I 801 Foundations of Artificial Intelligence, A-I 570 Deep Learning, A-I 574 Natural Language Processing, A-I 804 Ethics of Artificial Intelligence, and IE 575 Foundations of Predictive Analytics. Electives span options like A-I 572 Reinforcement Learning, A-I 879 Machine Vision, DAAN 545 Data Mining, and DAAN 862 Analytics Programming in Python.

The 3-credit capstone course A-I 894 requires you to complete all core courses and is available only in fall semester. You’ll work together in teams to develop real-life AI products and services. Recent capstone projects include PhysioVision, which uses computer vision and multimodal AI models to analyze patients’ movements during rehabilitation exercises for remote physiotherapy monitoring. Another project, AECA-WATTS, is a multi-agent AI system that analyzes sports sensor data to understand athletes’ unique physiology and offer coaching insights.

Faculty including Youakim Badr and Raghu Sangwan conduct extensive industry surveys to maintain a current list of employers’ most desired AI skills. They design curriculum around those competencies.

Tuition and Financial Aid

Penn State Great Valley offers competitive tuition rates with scholarships and part-time research assistant positions. The Sokolov-Miller Family Financial and Life Skills Center provides free, confidential one-on-one financial coaching. Topics covered include budgeting, student loans, and credit cards.

Career Outcomes

AI Engineering Option graduates pursue roles such as Machine Learning Engineer, AI Scientist, Computer Vision Engineer, AI Platform Engineer, Software Engineer (ML), Technical Architect, or Chief Engineer. Applied and Generative AI Option graduates lead AI adoption initiatives as AI Application Analyst, AI Product Lead, Innovation Consultant, Digital Transformation Manager, or Operations Analytics Lead. The field of AI will create more than 133 million job opportunities by 2030. You’ll join a network of more than 800,000 Penn State alumni worldwide.

3. University of Pennsylvania MSE in Artificial Intelligence

Penn Engineering’s online Master of Science in Engineering in Artificial Intelligence represents the first Ivy League graduate program dedicated to AI. The program goes by the name Raj and Neera Singh Program in Artificial Intelligence. This online masters in AI delivers technical depth across machine learning, natural language processing, and GPU programming while embedding ethics as a core program requirement.

Program Overview

The MSE-AI Online program targets those with undergraduate degrees in computer science, computer engineering, information science, or related fields. Associate Professor Chris Callison-Burch leads the program. He’s an expert in AI from the Computer and Information Science department. The program educates engineers to analyze emerging trends from technological, societal, and ethical points of view. Students explore algorithms for knowledge-based agents, large language models, natural language processing, and deep learning. They engage with real-life tools and environments from home.

Faculty provide leading-edge courses with great insights into using GPU power for AI applications. The program launched its original cohort in spring 2025.

Key Features and Delivery Format

You’ll complete ten courses consisting of seven core courses, two technical electives, and one free elective. The asynchronous online curriculum eliminates required real-time sessions. You can study anywhere, anytime. Students can switch between part-time and full-time registration each semester based on course load. Therefore, completion time ranges from 16 to 40 months depending on how many classes you take per semester.

A Student Success Advising Team helps plan your course schedule and overall degree path. Summer semester enrollment remains optional. You’ll also benefit from a tight-knit online community providing support and friendship throughout your studies.

Curriculum and Specializations

The curriculum balances foundational theory with advanced applications. First-semester students must take CIS 5210 Artificial Intelligence. This course investigates algorithms for resource-limited knowledge-based agents covering search, machine learning, probabilistic reasoning, and knowledge representation. CIS 5300 Natural Language Processing provides an overview of technologies enabling machines to understand human languages. The course addresses machine translation, automatic summarization, and question answering systems.

ESE 5460 Principles of Deep Learning examines deep networks central to computer vision, natural language processing, and robotics. The course discusses general principles combining intuition, theoretical foundation, and empirical experience. EAS 5240 Technology Ethics and the Legal Landscape recognizes that engineers design the world we live in. Ethics are the foundations of modern engineering practice.

Besides standard coursework, CIS 5980 offers a hands-on capstone where students design, develop, and deploy AI-driven applications as portfolio-ready demonstrations. You’ll apply techniques learned throughout the program to tackle open-ended practical problems.

Tuition and Financial Aid

Tuition costs $3,859 per course unit for the 2026-2027 academic year. Online services fees add $168 per course unit. Total program cost reaches $38,590 for ten courses plus applicable fees. A non-refundable $300 enrollment deposit applies as a credit toward your next semester’s tuition bill after the add/drop deadline passes. Federal grant and loan programs are available for US citizens.

Career Outcomes

Penn Engineering Online graduates secured positions at Amazon, Google, Microsoft, Meta, Apple, and NVIDIA. The 2025 Career Outcomes Report for Penn Engineering’s online programs showed 85% knowledge rate among graduates. Software engineering, data science, and machine learning engineering are common roles. Master’s graduates from Penn’s School of Engineering reported a median salary of $112,000. Technology sector salaries reached a median of $130,000.

You’ll join Penn Engineering’s alumni network exceeding 28,000 business leaders, innovators, and researchers around the world. Career services remain available throughout your program. They offer interviewing skills development, one-on-one career advisor meetings, and extensive job listings.

4. York College MS in Analytics and Applied AI

York College of Pennsylvania’s MS in Analytics and Applied AI bridges quantitative analysis with artificial intelligence technologies. The program prepares professionals to transform organizational data into strategic business value. This online masters in AI emphasizes practical application across operations, marketing, finance, accounting, cybersecurity, and healthcare administration.

Program Overview

The program gives you the skills to use data and state-of-the-art technologies for better business decisions. You’ll work through rigorous coursework in data management, analytics, big data, and data visualization. The program combines this with hands-on experience working with large, real-world data sets. You’ll use statistics, analytical models, and artificial intelligence technologies to develop practical insights and advance effective decisions. The program teaches you to communicate them to stakeholders. The curriculum addresses growing needs for data-driven decision-making across industries. You’ll learn to employ data for better business decisions through critical thinking.

Key Features and Delivery Format

You’ll complete the program through asynchronous online courses. Assignments can be tackled at your own pace. The ai and machine learning degree requires a minimum of 30 course credits. York College welcomes students from all undergraduate majors. You must demonstrate academic proficiency in business concepts before beginning coursework. The flexible structure suits working adults seeking quality business education without sacrificing their busy schedules. This works whether you’re moving up your company’s ladder or gaining tailored skills in your niche.

Curriculum and Specializations

Core courses boost both technical and interpersonal skills. You’ll learn to communicate recommendations to senior decision-makers. MDA 522 AI-Enhanced Excel Modeling combines spreadsheet analytics with AI capabilities. MDA 526 Business Intelligence and Data Visualization develops skills to present data insights. MDA 528 Business Data Management covers the quickest way to organize, interpret, and present data for real-world applications. MDA 534 Marketing Analytics: Data, Insights, and Emerging AI Tools applies AI to marketing decision-making. MDA 536 Information Security & Ethical Governance addresses cybersecurity and ethical considerations in AI deployment. So concepts covered find broad use across operations, marketing, finance, accounting, cybersecurity, and healthcare administration.

Tuition and Financial Aid

You can access federal and state financial aid by completing the FAFSA. Use York College’s Title IV institutional code 003399. The application determines your Student Aid Index. This calculates eligibility for York College financial aid, work study programs, and federal aid including Federal Direct student loans. Pennsylvania residents must pass 24 new credit hours in any given 12-month period. This maintains Pennsylvania State Grant eligibility. York College offers several affordable payment options including monthly payment plans.

Career Outcomes

Popular career paths include Business Analyst, Business Intelligence Analyst, Data Analyst, Data Analyst Consultant, Data Scientist, and Quantitative Analyst. The program provides you with valuable analytics, communication, and problem-solving skills. These apply to a wide range of industries and career paths. You’ll demonstrate sought-after abilities in data management, development of analytical models, data visualization, and use of artificial intelligence technologies. The MS in Analytics & Applied AI program holds ACBSP accreditation. This focuses on recognizing teaching excellence, determining student learning outcomes, and maintaining a continuous improvement model.

5. Carnegie Mellon University AI and Machine Learning Degree

Carnegie Mellon University is the birthplace of artificial intelligence education, housing the nation’s first Machine Learning Department since 2006. CMU provides multiple pathways for professionals who seek an AI master’s degree program. Pennsylvania’s most prestigious institution offers the Master of Science in Machine Learning and the Master of Science in Artificial Intelligence and Innovation (MSAII).

Program Overview

The MS in Machine Learning targets applicants with bachelor’s degrees who seek advanced training in machine learning fundamentals and applications. CMU undergraduates can pursue the Fifth-Year Master’s option, but external applicants complete the standard 16-month program. The program welcomes applicants from backgrounds of all types without requiring an undergraduate computer science degree.

The MSAII program combines rigorous AI curriculum with entrepreneurship training across four semesters. This AI and machine learning degree focuses on both intrapreneurship and entrepreneurship, and gives you the skills to launch startups or develop new organizations within existing companies. You’ll learn to make technical presentations, assemble development teams, and evaluate market opportunities.

Key Features and Delivery Format

The MS in Machine Learning operates on-campus in Pittsburgh with no online or distance-learning options. You must attend classes in person to complete the program. Motivated students finish in three semesters, but some extend to four semesters for research or to fill undergraduate training gaps. International students on student visas must complete the program within three semesters.

Applications open once a year in December for the August program starts. The admissions committee accepts applications through the School of Computer Science Graduate Online Application. GRE scores became optional for fall 2025 admissions (August 2026 start). You need strong computer science fundamentals including complexity theory and programming skills, plus at least one year of college-level probability, statistics, matrix algebra, and multivariate calculus.

The MSAII application window for Fall opens September 3, with an early deadline of November 19, and final deadline of December 10. MSAII requires GRE scores and maintains a minimum 3.0 GPA requirement. Successful MSAII applicants need a minimum TOEFL score of 100.

Curriculum and Specializations

The MS in Machine Learning requires six core courses from separate lines, three electives, and a practicum. Students complete a one-semester full-time practicum during summer, which is an internship or research project. Electives allow flexibility, and students often conduct one research project over two semesters.

The MSAII program totals 195 units: 84 units of Core Curriculum including a 36-unit Capstone, 72 units of Knowledge Requirements, and at least 36 units of approved electives. Core courses progress through phases including 11-651 Artificial Intelligence and Future Markets, 11-695 AI Engineering covering TensorFlow and Python, and 11-699 Capstone Project where teams develop working products. Knowledge requirements include rigorous courses like 10-601 Machine Learning, 11-785 Deep Learning, and 11-611 Natural Language Processing. Every student completes a mandatory industry internship between first spring and second fall semesters.

Tuition and Financial Aid

The MS in Machine Learning provides no financial support. Students must cover tuition, fees, and living expenses on their own. MSAII charges approximately $31,500 per semester for fall 2025 and $32,400 for subsequent semesters. Application fees reach $80 for early submissions and $100 after the early deadline.

Career Outcomes

CMU graduates secure positions at companies that push boundaries, with strong demand for machine learning and data science roles. Graduates pursue careers as AI Software Engineers, Machine Learning Engineers, and AI Product Managers. The School of Computer Science ranks #1 nationally for AI graduate programs.

6. Drexel University Online Masters in AI

Drexel University’s College of Computing and Informatics administers an online masters in AI built around flexibility and real-life application. The MS in Artificial Intelligence and Machine Learning operates on a distinctive quarter system where you complete coursework through four 10-week terms annually. This allows faster progression than traditional semester-based programs.

Program Overview

The program provides strong foundations in mathematical concepts, algorithms and AI applications through two distinct tracks. Students pursue either an Applied concentration if they lack computer science backgrounds. This track focuses on selecting appropriate algorithms and you retain control of AI codebases. The Computational concentration suits technically experienced professionals interested in developing original algorithms with emphasis on mathematical foundations. The curriculum ends in a two-term capstone where you tackle real-life or research problems using accumulated program knowledge.

Key Features and Delivery Format

Drexel operates on quarters rather than semesters and requires 45 quarter credits equivalent to 30 semester credits. You can complete the AI and machine learning degree full-time or part-time and finish in as little as two years. Standard coursework allows you to select up to three integrated skills-based certificates while completing your degree. Options include Applied Artificial Intelligence and Machine Learning, Big Data Analytics, Computer Security & Privacy, Data Science Foundations and nine other choices. These certificates provide stackable credentials but cannot serve as standalone qualifications. Full-time on-campus students accepted for fall and winter terms can choose a Graduate Co-op option through the Steinbright Career Development Center.

Curriculum and Specializations

Students work with real datasets and state-of-the-art technologies in three focus areas: data science and analytics, theory of computation and algorithms, and AI applications. Faculty maintain active research in machine learning, computer vision, game AI, cognitive science, high performance computing and applied machine learning in gaming and security. Your academic advisor guides course selection based on professional background and career objectives.

Tuition and Financial Aid

Tuition costs $1,400 per credit for 2026-2027. An annual graduate online program fee of $125 applies. The program qualifies for financial aid, with SCIS Merit Discount Awards considered upon application. Military members receive special tuition rates. The Yellow Ribbon Program allows eligible veterans to attend with no out-of-pocket expenses.

Career Outcomes

Graduates secure positions as Data Scientists ($129,000), Computer and Information Research Scientists ($133,750), Computer Systems Analysts ($111,350) and Operations Research Analysts ($89,300). Drexel’s experiential learning approach has networking through the Corporate Partners Program and career services that are complete.

7. University of Pittsburgh MS in Artificial Intelligence

The University of Pittsburgh’s Intelligent Systems Program represents one of the nation’s longest-running AI masters degree programs Pennsylvania institutions offer, operating for over 30 years with 34 affiliated faculty across seven schools. This multidisciplinary approach draws expertise from the School of Medicine, School of Law, School of Education, Swanson School of Engineering and Kenneth P. Dietrich School of Arts and Sciences.

Program Overview

The Master of Science in Intelligent Systems provides applied artificial intelligence training through a balanced foundation in AI fundamentals combined with advanced research opportunities in multiple disciplines. Students complete a minimum of 30 credits plus an MS Project. The program maintains rigorous academic standards and requires you to earn a grade of B- or better in each curriculum course while maintaining a minimum 3.0 QPA.

Key Features and Delivery Format

You can choose between two concentration areas: the General Track or the Biomedical Informatics Track. Full-time students complete this ai and machine learning degree in two years. The General Track accommodates students from various backgrounds. The Biomedical Informatics Track assumes healthcare field training or requires faculty-selected courses that teach medical knowledge fundamentals.

Curriculum and Specializations

Core coursework covers machine learning (INFSCI 2595), natural language processing (ISSP 2230/CS 2731), computer vision (ISSP 2180/CS 2770), information storage and retrieval (ISSP 2130/INFSCI 2140), and data mining (INFSCI 2160). Theory requirements include applied statistics courses and algorithm design courses. You’ll complete four ISSP advanced elective courses with advisor approval. The Biomedical Informatics Track adds specialized courses including BIOINF 2105 Artificial Intelligence for Biomedical Informatics and foundations courses specific to medical informatics applications.

Tuition and Financial Aid

Financial support comes through multiple channels including School of Computing and Information Predoctoral Fellowships, Graduate Research Awards through sponsored projects and two competitive GSA Fellowships during summer terms. The program encourages applications for external support through Fulbright Awards and National Science Foundation grants.

Career Outcomes

The program’s 38 graduate students work with affiliated faculty and conduct research across AI applications. Graduates pursue roles in research, industry applications and further doctoral study.

8. Temple University Master’s in AI and Data Science

Temple University’s College of Science and Technology administers the MS in Computational Data Science, an AI masters degree program Pennsylvania working professionals can pursue through evening classes designed around busy schedules. Students extract knowledge from big data through computational analytics and prepare for growing just need in education, government, and industry.

Program Overview

The 30-credit program enables you to analyze large quantities of data and find knowledge necessary for state-of-the-art developments. You’ll build strong foundations in algorithmic, computational, and statistical thinking plus understanding of computer systems. The program accommodates students from backgrounds of all types and requires a baccalaureate degree in Computer Science, though those with insufficient undergraduate coursework must address deficiencies through additional courses.

Key Features and Delivery Format

Classes meet after 4:30 p.m. Full-time or part-time completion is possible. You have five years to finish the degree. The program ends in either a three-credit Master’s Project or the more advanced six-credit Master’s Thesis.

Curriculum and Specializations

Required courses include Design and Analysis of Algorithms, Machine Learning, Operating Systems, and Principles of Data Management. You’ll select electives from Big Data courses (Data-Intensive and Cloud Computing, Distributed Systems) and Data Analysis courses (Knowledge Discovery and Data Mining, Deep Learning, Computer Vision, Artificial Intelligence).

Tuition and Financial Aid

Graduate students submit FAFSA for federal aid consideration. Scholarship funding depends on program admission decisions.

Career Outcomes

Job fairs draw more than 60 employers including Children’s Hospital of Philadelphia, Lockheed Martin, and the City of Philadelphia’s Office of Innovation and Technology. You’ll access career coaching, interview guidance, and job postings through Temple’s Career Center.

Next Steps

Pennsylvania’s AI master’s programs offer something for every professional goal and budget. Eastern University delivers exceptional value at $12,870, while Penn State provides completion in just 18 months. You can choose from Ivy League rigor at Penn, CMU’s groundbreaking machine learning focus, or flexible online options at Drexel and York College. Each program positions you for high-demand roles as machine learning engineers, data scientists, and AI specialists.

Your next step is straightforward: identify which program lines up with your career objectives and schedule flexibility. Whether you prioritize affordability, prestige, or specialization depth, Pennsylvania’s institutions provide the training that employers seek actively in 2027’s competitive AI job market.