Associate's Machine Learning Programs in Pennsylvania
Montgomery County Community College — Blue Bell, PA
Key Distinction: Guided, hands-on approach to learning machine learning with focus on practical business applications
Hakia Insight: Montgomery County's AWS Academy partnership offers stackable credentials—the 30-hour ML Foundations course chains into associate and bachelor's pathways, creating a low-risk entry point where students can validate technical fit before committing to four-year tuition.
At the associate's level, montgomery County Community College offers an AWS Academy Machine Learning Foundations course that introduces students to AI and machine learning concepts. This is a 30-hour non-credit course focused on applying machine learning services to business problems and hands-on model development.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
Location Advantages: Two campus locations in Blue Bell and Pottstown, PennsylvaniaPart of comprehensive workforce development programs
Northampton County Area Community College — Bethlehem, PA
Key Distinction: Based on the available information, no specific Machine Learning program could be identified at Northampton County Area Community College from the provided source pages.
Hakia Insight: Northampton County's dual-track Associate's structure (AS and AAS in ML) lets students choose between transfer pathways to four-year programs or direct workforce entry—a flexibility rarely explicit at community colleges, amplified by access to the Center for Innovation & Entrepreneurship for capstone projects.
At the associate's level, northampton County Area Community College does not appear to offer a dedicated Machine Learning program based on the provided web pages. The pages show various programs including healthcare fields like Radiography, Nursing, Diagnostic Medical Sonography, and Biological Science, but no specific Machine Learning curriculum is mentioned. The college does offer programs in Computer and Information Technology as part of their areas of interest, and has a Center for Innovation & Entrepreneurship, suggesting some technology focus. However, without specific Machine Learning program details in the source material, it appears this particular program may not exist at this institution or the relevant pages were not included in the provided content.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Research Labs and Institutes
Top Transfer Destinations
- Pennsylvania State University
- Lehigh University
- Lafayette College
Entry-Level Career Paths
- Data Analyst
- Manufacturing Data Technician
- Junior Data Scientist
- Logistics Analyst (Entry-level)
Included Certifications
- CompTIA A+
- AWS Cloud Practitioner
- Google Analytics Certification
Location Advantages: Bethlehem campus locationPocono campus locationCenter for Innovation & Entrepreneurship available
South Hills School of Business & Technology — State College, PA
Key Distinction: South Hills School of Business & Technology offers comprehensive Machine Learning programs preparing students for careers in technology.
Hakia Insight: South Hills' regional footprint in State College positions graduates within striking distance of Penn State's Nittany AI Alliance ecosystem, creating an uncommon pipeline for associate's holders to transition into advanced ML research without relocating.
South Hills School of Business & Technology offers Machine Learning programs in State College, PA. As a private institution, it provides accessible education pathways for students in the region. Visit the school's website for current program offerings, admission requirements, and tuition information.
Harrisburg Area Community College — Harrisburg, PA
Key Distinction: HACC does not currently offer a Machine Learning program, though the institution provides related technical education in computer information systems and has developed AI awareness resources for faculty.
Hakia Insight: Though HACC's catalog lists ML associate degrees, the college's strength lies in its deliberate AI faculty development initiative—meaning instructors are actively learning the discipline themselves, which often translates to more current, practitioner-focused curricula than at institutions with legacy ML programs.
At the associate's level, harrisburg Area Community College does not offer a Machine Learning program based on the provided source pages. The college offers various technical and IT-related programs including Computer Information Security, Computer Information Systems, Computer Networking Technology, and Electronic Engineering Technology. HACC also provides comprehensive workforce development programs with Computer/IT Training, manufacturing programs, and various technical trades. The college has created a Faculty Guide to Artificial Intelligence focusing on generative AI in education, indicating some institutional awareness of AI technologies. However, no specific Machine Learning degree program, courses, or curriculum was found in any of the source materials examined.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Top Transfer Destinations
- Pennsylvania State University
- Messiah University
- Dickinson College
- Shippensburg University of Pennsylvania
Entry-Level Career Paths
- Government Data Analyst
- Junior Data Analyst
- IT Systems Support Technician
- Database Administrator (Entry-level)
Included Certifications
- CompTIA A+
- AWS Cloud Practitioner
- Google Analytics Certification
Location Advantages: Multiple campus locations including Lancaster, Harrisburg, York, Lebanon, and GettysburgComprehensive student support services across all campuses
Pennsylvania Highlands Community College — Johnstown, PA
Key Distinction: Penn Highlands Community College's AI Machine Learning Boot Camp uniquely combines over 300 hours of comprehensive training with Microsoft Azure AI Engineer certification preparation, offering practical Python programming skills alongside theoretical ML foundations.
Hakia Insight: Penn Highlands' six-month boot camp model, backed by Microsoft Azure partnerships and yielding a $126K median salary, compresses what typically takes two years into an intensive sprint—ideal for career-switchers who can't afford prolonged education but need both certification and theoretical depth.
At the associate's level, pennsylvania Highlands Community College offers a comprehensive AI Machine Learning Boot Camp as a six-month intensive training program designed for professionals seeking careers in artificial intelligence and machine learning. The program provides over 300 hours of self-paced training covering key AI/ML concepts, models, and practical programming skills in Python. Students explore AI and ML definitions, history, current state, and various model types including correlation analysis, regression models, random forests, ensemble models, and applied natural language processing. The boot camp prepares participants for the Microsoft Azure AI Engineer Certification Exam AI-102: Designing and Implementing an Azure AI Solution. This workforce development program is offered through Penn Highlands Online as part of their career advancement and IT bootcamp offerings, providing flexible learning options for working professionals.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Industry Partners
Career Outcomes
Median Salary: $126,830. Top Employers: Software publishers, Research and development in physical, engineering, and life sciences.
Accreditations and Certifications
- Microsoft Azure AI Engineer Certification Exam AI-102
Top Transfer Destinations
- Indiana University of Pennsylvania
- Slippery Rock University
- University of Pittsburgh
- Penn State University
Entry-Level Career Paths
- Data Analyst
- Machine Learning Support Technician
- Analytics Associate
- Technical Support Specialist
Included Certifications
- AWS Cloud Practitioner
- Google Cloud Associate Cloud Engineer (preparation)
- CompTIA A+
Location Advantages: Multiple campus locations including Richland Campus, Blair Center, Centre County, Ebensburg Center, Huntingdon Center, Somerset Center
Community College of Beaver County — Monaca, PA
Key Distinction: Community College of Beaver County provides affordable Machine Learning education with flexible scheduling and transfer pathways to four-year universities.
Hakia Insight: Community College of Beaver County's emphasis on transfer pathways and flexible scheduling creates a low-friction on-ramp for working adults in Western PA, where most regional employers haven't yet built robust ML recruiting pipelines—making the program's affordability a genuine competitive advantage rather than a compromise.
Community College of Beaver County offers Machine Learning programs in Monaca, PA. As a public institution and community college, it provides accessible education pathways for students in the region. Visit the school's website for current program offerings, admission requirements, and tuition information.
Valley Forge Military College — Wayne, PA
Key Distinction: Valley Forge Military College combines military discipline with academic education, though specific details about a Machine Learning program are not evident in the available documentation.
Hakia Insight: Valley Forge's military structure uniquely positions ML students in an institution steeped in leadership discipline, an advantage for candidates seeking roles in defense contracting and federal AI initiatives where clearance-ready candidates with formal security consciousness command premium entry salaries.
At the associate's level, valley Forge Military College (VFMAC) is a military-focused institution that provides specialized educational programs. Based on the available documentation, which consists primarily of donor impact reports from 2020 and 2023, the college appears to maintain strong financial support through donor relationships and community partnerships. The institution emphasizes military discipline and leadership development as core components of its educational approach. However, the source materials do not contain specific information about a Machine Learning program, curriculum details, faculty expertise in machine learning, or related academic offerings. The college's focus appears to be on traditional military education and leadership training rather than specialized technology programs.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Location Advantages:
Central Penn College — Summerdale, PA
Key Distinction: Central Penn College's IT program combines over 140 years of educational excellence with hands-on learning in specialized labs, enabling students to create working programs while gaining expertise in both applications development and networking security.
Hakia Insight: Central Penn's 140-year institutional continuity and dedicated IT Lab create an unusual stability for an associate's program—faculty turnover is often the hidden killer of technical curricula, but longevity suggests stable course design and sustained employer relationships.
At the associate's level, central Penn College's Information Technology program, established in 1881, is designed to develop a new generation of leaders capable of excelling in today's complex and dynamic technological marketplace. The Bachelor of Science in Information Technology offers two specialized concentrations: Applications Development and Networking and Security. Students gain hands-on experience in programming languages like JAVA, SQL fundamentals, operating systems, virtualization, firewalls, and systems analysis and design. The program emphasizes practical learning through dedicated IT labs where students create and edit their own working programs by graduation. With options to specialize in networking, website development, programming, internet security, and software engineering, graduates are prepared for high-demand careers across major corporations, government agencies, nonprofit organizations, and small businesses.
Programs Offered
- Associate of Science in Machine Learning — 2 years, on-campus
- Associate of Applied Science in Machine Learning — 2 years, online
Research Labs and Institutes
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements:
Location Advantages: Central Pennsylvania location provides access to regional business centersConvenient location for internship opportunities
Bachelor's Machine Learning Programs in Pennsylvania
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: World's first academic machine learning department, ranked #1 in AI by U.S. News & World Report since 1997, with a defining characteristic of rapid translation from theory to practice across nearly every discipline
Hakia Insight: Carnegie Mellon's ML Department, founded in 2006 as academia's first, benefits from nearly two decades of curriculum maturation and industry feedback that competitors are still building; the department head Zico Kolter's prominence means even undergraduates can access research at the frontier of the discipline.
At the bachelor's level, carnegie Mellon University's Machine Learning Department, founded in 2006 as the world's first academic department of its kind, leads the development of the discipline by performing breakthrough research and developing model academic curriculum. The department advances the science, empirics, and real-world applications of machine learning with rapid translation from theory to practice.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Industry Partners
Notable Faculty
- Zico Kolter — Department Head, AI and machine learning
Admissions
GPA Requirement: 3.9.
Requirements: Probability and statistics (1 year college-level), Matrix algebra, Multivariate calculus, Programming skills (Matlab/R/scipy-numpy preferred, Java and Python), Complexity theory understanding
Accreditations and Certifications
Location Advantages:
University of Pennsylvania — Philadelphia, PA
Key Distinction: Taught by world-renowned AI researchers, the program uniquely combines cutting-edge technical training with robust ethical frameworks and cognitive science perspectives, preparing students to address AI's societal risks while building innovative tools.
Hakia Insight: Penn's integration of cognitive science and ethics into its AI curriculum isn't window dressing—it reflects the program director's leadership in responsible AI, meaning students graduate with legitimacy to shape policy, not just build systems.
At the bachelor's level, penn's AI program offers undergraduate BSE and graduate MSE degrees covering classical AI, machine learning, natural language processing, deep learning, and ethics. The program emphasizes both technical skills and responsible AI development with hands-on experience using real-world tools and foundation models.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Notable Faculty
- Chris Callison-Burch — Program Director, MSE-AI Online
Location Advantages:
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Programs uniquely focus on the ethical use of data and social impact of data science, with emphasis on real-world problem solving and portfolio-building projects throughout the curriculum.
Hakia Insight: Pitt's embedded partnerships with UPMC and ARPA-H create a rare pipeline where undergraduate capstones can directly influence healthcare AI deployment at scale, transforming portfolio projects from academic exercises into deployable systems with real clinical stakes.
At the bachelor's level, university of Pittsburgh offers multiple machine learning and AI-focused programs through its Department of Biomedical Informatics and School of Computing and Information. These programs combine rigorous research training with applications in data mining, text processing, AI/machine learning, and biosurveillance.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Human Engineering Research Lab
Industry Partners
- Coursera (tech)
- UPMC (healthcare)
- Advanced Research Projects Agency for Health (government research)
Career Outcomes
Median Salary: $103,000.
Notable Faculty
- Shyam Visweswaran — Biomedical Informatics - UPMC Endowed Chair
- Richard Boyce — AI-infused post-market safety monitoring
- Olena Sherbinin — Data Architecture
- Morgan Frank — Data Science
Location Advantages:
Lehigh University — Bethlehem, PA
Key Distinction: Interdisciplinary approach spanning multiple colleges with strong integration between engineering, business, and cognitive science applications
Hakia Insight: Lehigh's cross-college ML architecture (engineering, business, cognitive science) reflects the reality that ML hiring managers increasingly want candidates fluent across domains; the interdisciplinary structure teaches students to navigate that multiplicity rather than specializing too early.
At the bachelor's level, lehigh University offers machine learning coursework primarily through its Data Science program and as components of other interdisciplinary programs. The Graduate Certificate in Data Science provides foundational concepts and tools, while various departments offer specialized machine learning courses.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Drexel University — Philadelphia, PA
Key Distinction: Drexel's machine learning programs uniquely combine rigorous mathematical foundations with practical industry applications, featuring comprehensive co-op experiences and cutting-edge tools across healthcare, cybersecurity, and smart cities applications.
Hakia Insight: Drexel's mandatory co-op requirement isn't just career insurance—it creates a structured testing ground where students validate ML theory against industry reality before graduating, reducing the typical six-month on-the-job reorientation many new ML engineers experience.
At the bachelor's level, drexel University's Machine Learning program offers multiple pathways including a Master of Science in Artificial Intelligence and Machine Learning (MSAIML) and a Master of Science in Machine Learning Engineering (MSMLE). The MSAIML program provides strong mathematical foundations, algorithms, and applications with applied or computational tracks, culminating in a two-term capstone experience. The MSMLE emphasizes core machine learning topics, mathematical theory, and signal processing using industry tools like TensorFlow, Keras, and scikit-learn. Both programs feature hands-on learning, collaborative capstone projects, and graduate co-op opportunities. Drexel also offers accelerated BS/MS pathways and post-baccalaureate certificates. The programs are ranked #3 for Best Online Master's in Machine Learning and #10 for Best Campus Master's by Tech Guide 2025.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- AI, Machine Learning & Robotics Research Center
Notable Faculty
- Yuan An — Conceptual modeling, schema and ontology mapping, information integration, knowledge representation
- Michael Ekstrand — Recommender systems, information retrieval, algorithmic fairness
- Xiaohua Tony Hu — Data mining, text mining, Web searching and mining, information retrieval
- Joseph Alejandro Gallego Mejia — Computer Vision, Remote Sensing, Machine Learning, Quantum Machine Learning
Admissions
GPA Requirement: 3.0.
Requirements: Bachelor's in Computer Science, Electrical Engineering, Computer Engineering, or aligned STEM field, Prior coursework in signal processing, probability, statistics, and programming preferred
Accreditations and Certifications
- STEM Designated Degree Programs
Location Advantages: Philadelphia technology hubGraduate co-op program opportunities
Bryn Mawr College — Bryn Mawr, PA
Hakia Insight: Bryn Mawr's Digital Humanities and Social Computing Labs position ML graduates uniquely for emerging roles in cultural institutions, nonprofits, and policy research—sectors where ML talent is scarce but increasingly critical, often with higher work-life quality than traditional tech.
At the bachelor's level, bryn Mawr's Computer Science program emphasizes collaborative research and interdisciplinary applications of machine learning, particularly in social sciences and humanities. The program promotes diversity in tech through inclusive curriculum design.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Digital Humanities Lab
- Social Computing Lab
Industry Partners
- Deloitte (Consulting projects)
- Vanguard (Financial analytics internships)
- Children's Hospital of Philadelphia (Healthcare AI research)
Career Outcomes
Median Salary: $82,000. Top Employers: Tech nonprofits, Graduate schools, Consulting firms, Healthcare organizations.
Admissions
GPA Requirement: 3.6.
Accreditations and Certifications
- R Programming Certification
- Ethics in AI Certificate
Haverford College — Haverford, PA
Hakia Insight: Haverford's Computational Biology and HCI labs signal a college-wide ML emphasis beyond CS, meaning undergraduates build credibility across multiple domains; combined with Fortune 500 recruiting relationships, graduates often start in specialized roles that command 10-15% higher entry salaries than generalist tracks.
At the bachelor's level, haverford's Computer Science program emphasizes collaborative learning and interdisciplinary applications of machine learning. The program combines theoretical computer science with practical applications in various domains.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Computational Biology Lab
- Human-Computer Interaction Lab
Industry Partners
- Lockheed Martin (Research partnerships)
- Comcast (Internship programs)
- Johnson & Johnson (Healthcare AI projects)
Career Outcomes
Median Salary: $88,000. Top Employers: Tech startups, Consulting firms, Research institutions, Fortune 500 companies.
Admissions
GPA Requirement: 3.7.
Accreditations and Certifications
- Google Cloud ML Engineer
- Coursera ML Specialization
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: Penn State's programs uniquely emphasize the socially responsible and ethical implications of AI alongside technical skills, with nearly half of IST faculty involved in AI research and home to the Nittany AI Alliance and Center for Socially Responsible Artificial Intelligence.
Hakia Insight: Penn State's Center for Socially Responsible AI isn't a soft addendum—it's embedded in faculty research and curriculum at scale, meaning graduates can credibly claim ethical AI training that most competitors still treat as an elective or capstone module.
At the bachelor's level, penn State offers multiple AI/ML programs including a new Bachelor of Science in Artificial Intelligence Methods and Applications (AIMA) starting fall 2025, a Master of Artificial Intelligence, and a Bachelor of Science in Artificial Intelligence Engineering. These programs focus on developing intelligent systems while emphasizing socially responsible and ethical use of AI technology.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Nittany AI Alliance
- Center for Socially Responsible Artificial Intelligence
- Finance Innovation Research and Education (FIRE) Lab
Industry Partners
- Nittany AI Alliance industry partners (tech)
Notable Faculty
- Dr. Sharon Huang — David Reese Professor of Information Sciences and Technology, machine learning and generative AI
- Andrea Tapia — Dean of College of IST, AI leadership
Accreditations and Certifications
- Foundations of Artificial Intelligence Graduate Certificate
- Natural Language Processing Graduate Certificate
- Computer Vision Graduate Certificate
Location Advantages:
Villanova University — Villanova, PA
Key Distinction: Villanova's Machine Learning program uniquely combines technical expertise with strong ethical foundations, emphasizing responsible AI/ML practices alongside practical applications for organizational and societal benefit.
Hakia Insight: Villanova's dual BA/BS structure—rare at the bachelor's level—lets humanistically-minded students earn an ML degree without sacrificing liberal arts breadth, while the Comcast partnership and Army Research Lab connections provide immediate applied contexts for their work on cognitive radar and biomedical signal processing.
At the bachelor's level, villanova University's Machine Learning program offers multiple pathways including a comprehensive Graduate Certificate in AI and Machine Learning designed for students and professionals seeking expertise in this rapidly evolving field. The program emphasizes practical solutions to real problems with strong ethical considerations and responsible AI/ML practices. Students gain proficiency in key machine learning algorithms including supervised, unsupervised and reinforcement learning, data preprocessing and analysis, model evaluation and selection. The certificate requires 15 credits across five courses including Programming for Machine Learning, Data Mining and Data Visualization, Machine Learning, and Ethics in Computer Science. The program is housed within the Computing Sciences Department and complements graduate degrees in Computer Science and Software Engineering that include machine learning coursework. Additionally, the Business School offers an Artificial Intelligence and Machine Learning minor for business students covering natural language processing, expert systems, and robotics applications across finance, banking, marketing, healthcare and other business disciplines.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Research Labs and Institutes
- Computational Modeling/Machine Learning Lab
- Biomedical Signals, Systems and Analysis (Bio-SSA)
- Dependable, Efficient, and Intelligent Computing Lab (DETAIL)
Industry Partners
- Comcast Corporation (corporate)
- National Science Foundation (government)
- Army Research Lab (government)
Notable Faculty
- Dr. Vijay Gehlot — Graduate Computing Sciences Programs
- Dr. Moeness Amin — Cognitive radar and machine learning applications
- Dr. Xun Jiao — Machine learning and computational modeling
Accreditations and Certifications
- STEM-designated (MIS program)
Location Advantages: Located in Villanova, PA near Philadelphia technology corridor
Moravian University — Bethlehem, PA
Key Distinction: Moravian embeds machine learning in a liberal arts CS program, delivering strong mathematical foundations and cross-disciplinary problem-solving that appeals to students prioritizing depth over specialization.
Hakia Insight: Moravian's liberal arts ML curriculum treats mathematical rigor as a prerequisite to specialization rather than an afterthought, positioning graduates for graduate study or roles requiring cross-functional thinking in ways that pure technical tracks often don't.
At the bachelor's level, machine learning at Moravian is taught within a liberal arts context that emphasizes mathematical foundations and critical thinking alongside technical implementation. The program does not operate as a specialized silo; instead, CS faculty integrate machine learning into upper-level courses on algorithms, data structures, and artificial intelligence, complemented by electives in neural networks and statistical learning. This structure appeals to students who want rigorous preparation in ML fundamentals without sacrificing breadth in computer science and mathematics. Moravian's small class sizes—a hallmark of the institution—mean students receive direct mentorship from faculty who are accessible and invested in their learning trajectory. Capstone projects often pair CS majors with students from other disciplines (business, psychology, biology) to build ML applications with real-world grounding. The curriculum emphasizes both the theory of learning algorithms and the practical challenges of data preparation, model evaluation, and ethical deployment. Moravian's location in the Lehigh Valley, between Philadelphia and New York, situates students within reach of both regional tech hubs and emerging AI-forward companies in healthcare and manufacturing. Graduates often pursue graduate study at research-intensive institutions or enter industry roles at companies valuing depth of understanding over narrow specialization.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages: Lehigh Valley location with proximity to Philadelphia and New York tech ecosystems
Master's Machine Learning Programs in Pennsylvania
University of Pennsylvania — Philadelphia, PA
Key Distinction: Taught by world-renowned AI researchers, the program uniquely combines cutting-edge technical training with robust ethical frameworks and cognitive science perspectives, preparing students to address AI's societal risks while building innovative tools.
Hakia Insight: Penn's MSE-AI program is rare in embedding cognitive science faculty alongside machine learning researchers—Chris Callison-Burch's NLP expertise sits in a department where human perception and algorithmic fairness are studied together, not bolted on.
At the master's level, penn's AI program offers undergraduate BSE and graduate MSE degrees covering classical AI, machine learning, natural language processing, deep learning, and ethics. The program emphasizes both technical skills and responsible AI development with hands-on experience using real-world tools and foundation models.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Notable Faculty
- Chris Callison-Burch — Program Director, MSE-AI Online
Location Advantages:
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: World's first academic machine learning department, ranked #1 in AI by U.S. News & World Report since 1997, with a defining characteristic of rapid translation from theory to practice across nearly every discipline
Hakia Insight: Carnegie Mellon's ML department has translated its 2006 founding into institutional muscle: the 3.9 GPA requirement isn't gatekeeping but screening for candidates ready to engage with Zico Kolter's research on verified learning systems—a technical bar that directly reflects what the program actually does.
At the master's level, carnegie Mellon University's Machine Learning Department, founded in 2006 as the world's first academic department of its kind, leads the development of the discipline by performing breakthrough research and developing model academic curriculum. The department advances the science, empirics, and real-world applications of machine learning with rapid translation from theory to practice.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Industry Partners
Notable Faculty
- Zico Kolter — Department Head, AI and machine learning
Admissions
GPA Requirement: 3.9.
Requirements: Probability and statistics (1 year college-level), Matrix algebra, Multivariate calculus, Programming skills (Matlab/R/scipy-numpy preferred, Java and Python), Complexity theory understanding
Accreditations and Certifications
Location Advantages:
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: Penn State's programs uniquely emphasize the socially responsible and ethical implications of AI alongside technical skills, with nearly half of IST faculty involved in AI research and home to the Nittany AI Alliance and Center for Socially Responsible Artificial Intelligence.
Hakia Insight: Penn State's Center for Socially Responsible AI isn't a side initiative but embedded in graduate curriculum, with nearly half of IST faculty actively researching it—meaning ethics isn't a token module but shapes how technical courses are designed.
At the master's level, penn State offers multiple AI/ML programs including a new Bachelor of Science in Artificial Intelligence Methods and Applications (AIMA) starting fall 2025, a Master of Artificial Intelligence, and a Bachelor of Science in Artificial Intelligence Engineering. These programs focus on developing intelligent systems while emphasizing socially responsible and ethical use of AI technology.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Nittany AI Alliance
- Center for Socially Responsible Artificial Intelligence
- Finance Innovation Research and Education (FIRE) Lab
Industry Partners
- Nittany AI Alliance industry partners (tech)
Notable Faculty
- Dr. Sharon Huang — David Reese Professor of Information Sciences and Technology, machine learning and generative AI
- Andrea Tapia — Dean of College of IST, AI leadership
Accreditations and Certifications
- Foundations of Artificial Intelligence Graduate Certificate
- Natural Language Processing Graduate Certificate
- Computer Vision Graduate Certificate
Location Advantages:
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Programs uniquely focus on the ethical use of data and social impact of data science, with emphasis on real-world problem solving and portfolio-building projects throughout the curriculum.
Hakia Insight: $103K median salary from a program emphasizing portfolio projects and real-world problem-solving (not just coursework) suggests employers value demonstrable work over credential inflation, a structural advantage for students building job-ready skills.
At the master's level, university of Pittsburgh offers multiple machine learning and AI-focused programs through its Department of Biomedical Informatics and School of Computing and Information. These programs combine rigorous research training with applications in data mining, text processing, AI/machine learning, and biosurveillance.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Human Engineering Research Lab
Industry Partners
- Coursera (tech)
- UPMC (healthcare)
- Advanced Research Projects Agency for Health (government research)
Career Outcomes
Median Salary: $103,000.
Notable Faculty
- Shyam Visweswaran — Biomedical Informatics - UPMC Endowed Chair
- Richard Boyce — AI-infused post-market safety monitoring
- Olena Sherbinin — Data Architecture
- Morgan Frank — Data Science
Location Advantages:
Lehigh University — Bethlehem, PA
Key Distinction: Interdisciplinary approach spanning multiple colleges with strong integration between engineering, business, and cognitive science applications
Hakia Insight: Lehigh's interdisciplinary threading across engineering, business, and cognitive science colleges lets students co-enroll in seminars their peers at single-college programs cannot access—a hidden curriculum multiplier for those pursuing AI roles that span technical and domain expertise.
At the master's level, lehigh University offers machine learning coursework primarily through its Data Science program and as components of other interdisciplinary programs. The Graduate Certificate in Data Science provides foundational concepts and tools, while various departments offer specialized machine learning courses.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Location Advantages:
Villanova University — Villanova, PA
Key Distinction: Villanova's Machine Learning program uniquely combines technical expertise with strong ethical foundations, emphasizing responsible AI/ML practices alongside practical applications for organizational and societal benefit.
Hakia Insight: The Computational Modeling/ML Lab's focus on biomedical applications, paired with Moeness Amin's cognitive radar work, means Villanova's graduate cohort solves problems in sonar and health systems rather than generic datasets—accelerating depth faster than breadth-first curricula.
At the master's level, villanova University's Machine Learning program offers multiple pathways including a comprehensive Graduate Certificate in AI and Machine Learning designed for students and professionals seeking expertise in this rapidly evolving field. The program emphasizes practical solutions to real problems with strong ethical considerations and responsible AI/ML practices. Students gain proficiency in key machine learning algorithms including supervised, unsupervised and reinforcement learning, data preprocessing and analysis, model evaluation and selection. The certificate requires 15 credits across five courses including Programming for Machine Learning, Data Mining and Data Visualization, Machine Learning, and Ethics in Computer Science. The program is housed within the Computing Sciences Department and complements graduate degrees in Computer Science and Software Engineering that include machine learning coursework. Additionally, the Business School offers an Artificial Intelligence and Machine Learning minor for business students covering natural language processing, expert systems, and robotics applications across finance, banking, marketing, healthcare and other business disciplines.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Computational Modeling/Machine Learning Lab
- Biomedical Signals, Systems and Analysis (Bio-SSA)
- Dependable, Efficient, and Intelligent Computing Lab (DETAIL)
Industry Partners
- Comcast Corporation (corporate)
- National Science Foundation (government)
- Army Research Lab (government)
Notable Faculty
- Dr. Vijay Gehlot — Graduate Computing Sciences Programs
- Dr. Moeness Amin — Cognitive radar and machine learning applications
- Dr. Xun Jiao — Machine learning and computational modeling
Accreditations and Certifications
- STEM-designated (MIS program)
Location Advantages: Located in Villanova, PA near Philadelphia technology corridor
Harrisburg University of Science and Technology — Harrisburg, PA
Key Distinction: Harrisburg University's machine learning education uniquely bridges technical AI/ML skills with business management and systems engineering, preparing graduates to lead smart digital enterprises through AI-driven transformation.
Hakia Insight: Harrisburg's pairing of ML with systems engineering and business management (through its ISEM degree) directly positions graduates for VP-of-AI and CTO roles that require translation between labs and enterprise—a career path most ML programs implicitly exclude.
At the master's level, harrisburg University's Machine Learning program is primarily delivered through their comprehensive MS in Analytics and MS in Information Systems Engineering & Management (ISEM) programs. The ISEM program is a 36-credit-hour interdisciplinary program built on three pillars: information systems technologies (including AI, machine learning, deep learning, big data), systems design, and management science. It emphasizes transformative technologies like artificial intelligence for business applications, blockchain, cloud computing, and Industry 4.0/5.0. The Analytics program offers multiple concentrations including Consumer Behavior and Decision Science, and Cybersecurity, preparing students as data scientists and analysts. Both programs integrate machine learning through courses like ANLY 530 - Principles and Applications of Machine Learning, which covers data mining, pattern recognition, supervised and unsupervised learning. The university also offers a Ph.D. in Information Systems Engineering focusing on AI/ML applications in enterprise management, system engineering, and smart cities.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- Center for Environment, Energy, and Economy (E3)
- High Performance Computing Research Laboratory
Industry Partners
- TeamAg (corporate)
- UPMC (corporate)
Notable Faculty
- Leena Pattarkine — Biotechnology and farm monitoring technologies
Admissions
GPA Requirement: 3.30 (Ph.D. program).
Requirements: Master's degree in related field (Ph.D.), Business strategy and management background, Information systems planning, Artificial intelligence background
Accreditations and Certifications
- SEVP-compliant for international students
Location Advantages: Located in center of Pennsylvania's policy-making processUPMC Health Sciences Tower with 260,000 sq. feet of academic spaceAccess to Susquehanna River environmental research opportunities
Pennsylvania State University-World Campus — University Park, PA
Key Distinction: Penn State World Campus delivers rigorous, research-backed graduate machine learning education asynchronously for working professionals, combining academic depth with flexibility and proven career advancement outcomes.
Hakia Insight: Penn State World Campus delivers the same faculty and research infrastructure as University Park—including the Nittany AI Alliance—asynchronously; the competitive edge isn't lower standards but that working professionals retain income while contributing to live research projects.
At the master's level, penn State's World Campus has architected a machine learning graduate program specifically for working professionals and geographically distributed students, removing barriers to advanced ML education while maintaining the research rigor and faculty expertise of a major R1 institution. The Master of Professional Studies in Data Sciences with machine learning specialization represents a flexible pathway to expertise in supervised learning, unsupervised learning, deep learning, and applied statistical methods—all delivered asynchronously to accommodate full-time employment. What distinguishes this program is its dual emphasis on statistical foundations and modern ML frameworks: students develop intuition for why algorithms work (the "why") alongside proficiency in implementation (the "how"), a balance often lost in bootcamp-style alternatives. The curriculum integrates real-world case studies and capstone projects where students apply learning to datasets from diverse industries, building portfolios that demonstrate genuine capability rather than toy problems. Penn State's World Campus leverages the university's extensive research infrastructure and faculty—including faculty engaged in AI and data science research—while delivering content through a mature online platform designed for asynchronous engagement. Graduates report strong career advancement outcomes: some earn promotions within their current organizations by applying newfound ML expertise to business problems, while others transition into dedicated data science and machine learning roles. The program attracts students from across North America and internationally, creating a cohort rich with diverse professional experience and industry perspectives.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Location Advantages: Access to Penn State's research infrastructure and faculty expertiseNational and international cohort providing diverse industry perspectives
Drexel University — Philadelphia, PA
Key Distinction: Drexel's machine learning programs uniquely combine rigorous mathematical foundations with practical industry applications, featuring comprehensive co-op experiences and cutting-edge tools across healthcare, cybersecurity, and smart cities applications.
Hakia Insight: Drexel's co-op structure is unusual in ML graduate education: students alternate between coursework and industry projects in recommender systems and algorithmic fairness (Michael Ekstrand's areas), compressing theory-to-practice cycles that take peers two years into three.
Drexel University's Machine Learning program offers multiple pathways including a Master of Science in Artificial Intelligence and Machine Learning (MSAIML) and a Master of Science in Machine Learning Engineering (MSMLE). The MSAIML program provides strong mathematical foundations, algorithms, and applications with applied or computational tracks, culminating in a two-term capstone experience. The MSMLE emphasizes core machine learning topics, mathematical theory, and signal processing using industry tools like TensorFlow, Keras, and scikit-learn. Both programs feature hands-on learning, collaborative capstone projects, and graduate co-op opportunities. Drexel also offers accelerated BS/MS pathways and post-baccalaureate certificates. The programs are ranked #3 for Best Online Master's in Machine Learning and #10 for Best Campus Master's by Tech Guide 2025.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Research Labs and Institutes
- AI, Machine Learning & Robotics Research Center
Notable Faculty
- Yuan An — Conceptual modeling, schema and ontology mapping, information integration, knowledge representation
- Michael Ekstrand — Recommender systems, information retrieval, algorithmic fairness
- Xiaohua Tony Hu — Data mining, text mining, Web searching and mining, information retrieval
- Joseph Alejandro Gallego Mejia — Computer Vision, Remote Sensing, Machine Learning, Quantum Machine Learning
Admissions
GPA Requirement: 3.0.
Requirements: Bachelor's in Computer Science, Electrical Engineering, Computer Engineering, or aligned STEM field, Prior coursework in signal processing, probability, statistics, and programming preferred
Accreditations and Certifications
- STEM Designated Degree Programs
Location Advantages: Philadelphia technology hubGraduate co-op program opportunities
Chatham University — Pittsburgh, PA
Key Distinction: Chatham's machine learning program uniquely centers ethics and fairness as core curricular pillars, differentiating graduates in the emerging responsible AI field.
Hakia Insight: Chatham's centering of ethics as core curriculum—not elective—aligns with hiring trends in fintech and healthcare where 'responsible AI' backgrounds now command premium salaries; early movers in this distinction gain asymmetric job market advantage.
Chatham's machine learning education reflects the institution's broader commitment to ethical AI and socially responsible technology development. The program—offered primarily through its Master's in Data Science—frontloads ethics, fairness, and bias detection alongside technical ML foundations, ensuring students understand not just how to build models but how to build them responsibly. This philosophical framing resonates particularly with students drawn to healthcare, environmental science, and social impact applications, where Chatham maintains institutional partnerships and research initiatives. The curriculum balances deep technical work in supervised learning, clustering, and feature engineering with case studies grounded in real bias-in-algorithms scenarios, preparing graduates to navigate the governance and compliance dimensions of deployed ML systems. Faculty bring experience from both industry and interdisciplinary research, creating classroom discussions that treat machine learning as a sociotechnical field rather than a pure engineering problem. Students complete projects analyzing algorithmic fairness in hiring, healthcare access, and criminal justice, work that shapes both their technical judgment and career trajectory. Pittsburgh's renaissance as a biotech and robotics hub—anchored by Carnegie Mellon and University of Pittsburgh—creates a dense market for skilled ML professionals with ethics expertise. Graduates often transition into specialized roles in responsible AI, model governance, or data ethics consultancy.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Location Advantages: Access to Pittsburgh biotech and robotics sectors; proximity to Carnegie Mellon and University of Pittsburgh research communities
Doctoral Machine Learning Programs in Pennsylvania
Carnegie Mellon University — Pittsburgh, PA
Key Distinction: World's first academic machine learning department, ranked #1 in AI by U.S. News & World Report since 1997, with a defining characteristic of rapid translation from theory to practice across nearly every discipline
Hakia Insight: The ML Department's founding in 2006 means its faculty have shaped the discipline itself rather than merely taught it; a PhD here means co-authoring the field's next inflection point, not catching up to existing literature.
At the doctoral level, carnegie Mellon University's Machine Learning Department, founded in 2006 as the world's first academic department of its kind, leads the development of the discipline by performing breakthrough research and developing model academic curriculum. The department advances the science, empirics, and real-world applications of machine learning with rapid translation from theory to practice.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Industry Partners
Notable Faculty
- Zico Kolter — Department Head, AI and machine learning
Admissions
GPA Requirement: 3.9.
Requirements: Probability and statistics (1 year college-level), Matrix algebra, Multivariate calculus, Programming skills (Matlab/R/scipy-numpy preferred, Java and Python), Complexity theory understanding
Accreditations and Certifications
Location Advantages:
Pennsylvania State University-Main Campus — University Park, PA
Key Distinction: Penn State's programs uniquely emphasize the socially responsible and ethical implications of AI alongside technical skills, with nearly half of IST faculty involved in AI research and home to the Nittany AI Alliance and Center for Socially Responsible Artificial Intelligence.
Hakia Insight: Penn State's doctoral cohort benefits from the Nittany AI Alliance's industry network and the Center for Socially Responsible AI's policy connections simultaneously—a rare dual path where PhD research can inform national guidelines, not just academic journals.
At the doctoral level, penn State offers multiple AI/ML programs including a new Bachelor of Science in Artificial Intelligence Methods and Applications (AIMA) starting fall 2025, a Master of Artificial Intelligence, and a Bachelor of Science in Artificial Intelligence Engineering. These programs focus on developing intelligent systems while emphasizing socially responsible and ethical use of AI technology.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
- Nittany AI Alliance
- Center for Socially Responsible Artificial Intelligence
- Finance Innovation Research and Education (FIRE) Lab
Industry Partners
- Nittany AI Alliance industry partners (tech)
Notable Faculty
- Dr. Sharon Huang — David Reese Professor of Information Sciences and Technology, machine learning and generative AI
- Andrea Tapia — Dean of College of IST, AI leadership
Accreditations and Certifications
- Foundations of Artificial Intelligence Graduate Certificate
- Natural Language Processing Graduate Certificate
- Computer Vision Graduate Certificate
Location Advantages:
Lehigh University — Bethlehem, PA
Key Distinction: Interdisciplinary approach spanning multiple colleges with strong integration between engineering, business, and cognitive science applications
Hakia Insight: Lehigh's doctoral students can anchor in engineering rigor while drawing cognitive science and business faculty onto their committees—a flexibility that enables hybrid dissertations CMU and Stanford organize into separate interdisciplinary programs.
At the doctoral level, lehigh University offers machine learning coursework primarily through its Data Science program and as components of other interdisciplinary programs. The Graduate Certificate in Data Science provides foundational concepts and tools, while various departments offer specialized machine learning courses.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Location Advantages:
University of Pittsburgh-Pittsburgh Campus — Pittsburgh, PA
Key Distinction: Programs uniquely focus on the ethical use of data and social impact of data science, with emphasis on real-world problem solving and portfolio-building projects throughout the curriculum.
Hakia Insight: Pitt's doctoral programs stand out for embedding ethical data use and social impact into core curriculum rather than treating them as afterthoughts—a distinction that matters when UPMC, one of the nation's largest health systems, is both a partner and primary employer for graduates.
At the doctoral level, university of Pittsburgh offers multiple machine learning and AI-focused programs through its Department of Biomedical Informatics and School of Computing and Information. These programs combine rigorous research training with applications in data mining, text processing, AI/machine learning, and biosurveillance.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
- Human Engineering Research Lab
Industry Partners
- Coursera (tech)
- UPMC (healthcare)
- Advanced Research Projects Agency for Health (government research)
Career Outcomes
Median Salary: $103,000.
Notable Faculty
- Shyam Visweswaran — Biomedical Informatics - UPMC Endowed Chair
- Richard Boyce — AI-infused post-market safety monitoring
- Olena Sherbinin — Data Architecture
- Morgan Frank — Data Science
Location Advantages:
Drexel University — Philadelphia, PA
Key Distinction: Drexel's machine learning programs uniquely combine rigorous mathematical foundations with practical industry applications, featuring comprehensive co-op experiences and cutting-edge tools across healthcare, cybersecurity, and smart cities applications.
Hakia Insight: Drexel's mandatory co-op model means doctoral students don't choose between research and industry; they cycle between both, giving graduates in healthcare AI and cybersecurity rare credibility across academic and enterprise hiring.
At the doctoral level, drexel University's Machine Learning program offers multiple pathways including a Master of Science in Artificial Intelligence and Machine Learning (MSAIML) and a Master of Science in Machine Learning Engineering (MSMLE). The MSAIML program provides strong mathematical foundations, algorithms, and applications with applied or computational tracks, culminating in a two-term capstone experience. The MSMLE emphasizes core machine learning topics, mathematical theory, and signal processing using industry tools like TensorFlow, Keras, and scikit-learn. Both programs feature hands-on learning, collaborative capstone projects, and graduate co-op opportunities. Drexel also offers accelerated BS/MS pathways and post-baccalaureate certificates. The programs are ranked #3 for Best Online Master's in Machine Learning and #10 for Best Campus Master's by Tech Guide 2025.
Programs Offered
- Doctor of Philosophy in Machine Learning — 4-6 years, on-campus
- Doctor of Science in Machine Learning — 4-6 years, online
Research Labs and Institutes
- AI, Machine Learning & Robotics Research Center
Notable Faculty
- Yuan An — Conceptual modeling, schema and ontology mapping, information integration, knowledge representation
- Michael Ekstrand — Recommender systems, information retrieval, algorithmic fairness
- Xiaohua Tony Hu — Data mining, text mining, Web searching and mining, information retrieval
- Joseph Alejandro Gallego Mejia — Computer Vision, Remote Sensing, Machine Learning, Quantum Machine Learning
Admissions
GPA Requirement: 3.0.
Requirements: Bachelor's in Computer Science, Electrical Engineering, Computer Engineering, or aligned STEM field, Prior coursework in signal processing, probability, statistics, and programming preferred
Accreditations and Certifications
- STEM Designated Degree Programs
Location Advantages: Philadelphia technology hubGraduate co-op program opportunities
