Pennsylvania Machine Learning Masters Programs

Drexel University's Master of Science in Machine Learning Engineering is a comprehensive on-campus program designed to prepare students for leadership roles in AI and machine learning. Offering both full-time and part-time options, the 45-credit curriculum includes core courses, mathematical theory, and electives, allowing students to customize their learning. With thesis and non-thesis options, the program caters to future doctoral candidates and industry professionals alike. Students benefit from hands-on experience with advanced tools like TensorFlow and Keras, guided by research experts. Located in Philadelphia, the program provides ample networking and research opportunities in the city's thriving tech scene.

• On-campus program.
• Full-time or part-time options.
• 45 credits required.
• Thesis and non-thesis options.
• Cutting-edge software tools.
• Taught by research experts.
• Philadelphia location benefits.
• Research opportunities available.
• Career-focused curriculum.
• Diverse industry applications.

The Master of Science in Artificial Intelligence and Machine Learning at Drexel University focuses on applied and computational tracks, offering a rigorous curriculum for tackling real-world AI challenges. Available on-campus or online, the program is flexible for full-time or part-time students, requiring 45 credits to complete. A capstone project provides practical experience, and the STEM-designated program is ideal for those with a bachelor's in computer science or STEM fields. Drexel's quarter system facilitates a broad curriculum, with scholarships and financial aid options available. This program stands out for its interdisciplinary approach and emphasis on real-world applications.

• Top 10 AI program
• Applied and computational tracks
• Full-time or part-time
• On campus or online
• 45 credits required
• Capstone project included
• STEM designated
• Quarter system curriculum
• Scholarships available
• Hands-on experience

Drexel University offers an online Master of Science in Artificial Intelligence & Machine Learning with concentrations in Data Science and Analytics, Theory of Computation and Algorithms, and Applications of AI/ML. This 45-quarter credit program is tailored for professionals, requiring a strong computer science background. Tuition is $1438 per credit for the 2024-2025 academic year, with financial aid options. The program emphasizes practical skills through a capstone project and uses real datasets and tools. Admission requires a bachelor's degree, a 3.0 GPA, and relevant documents. GRE scores are recommended for some applicants, highlighting the program's focus on ethical AI and legal aspects.

• 45-quarter credit program.
• Concentrations in Data Science, Algorithms, AI/ML.
• Online format for flexibility.
• $1438 per credit tuition.
• Financial aid available.
• Requires strong computer science background.
• Capstone project included.
• Full- or part-time options.
• 10-week quarter terms.
• Interdisciplinary curriculum.

Carnegie Mellon University's Master of Science in Machine Learning is a 16-month, campus-based program that prepares students for advanced roles in AI and data science. It requires completion of 6 core courses, 3 electives, and a practicum, with a strong emphasis on mathematics and programming. The program is STEM-designated, offering enhanced visa options for international students. GRE scores are optional for 2025 applicants, and while financial support isn't provided, the program's rigorous curriculum and post-graduate career support make it a top choice for aspiring machine learning professionals.

• 16-month program duration
• Campus-based learning
• 6 core courses required
• 3 elective courses
• Practicum component
• Strong math background needed
• Programming skills essential
• No financial support
• GRE optional for 2025
• STEM-designated program

The Master's in Machine Learning - Applied Study at Carnegie Mellon University is tailored for students targeting industry careers, blending academic coursework with professional development and a mandatory internship. This 16-month program focuses on practical machine learning skills through 6 core courses and 3 electives. A strong background in computer science and mathematics is required, with programming skills in Python or Java being advantageous. As a STEM-designated program, it offers additional benefits for international students. Admissions are competitive, with no financial support provided, emphasizing the program's industry-focused curriculum and practical learning approach.

• 16-month program duration.
• Campus-based learning.
• STEM-designated program.
• Mandatory internship included.
• 6 core courses required.
• 3 elective courses.
• Professional development activities.
• Strong CS and math prerequisites.
• Programming skills in Python/Java.
• No financial support provided.

Carnegie Mellon University's 5th-Year Master's in Machine Learning offers CMU undergraduates the opportunity to earn an MS in just one additional year by double-counting up to three courses. This intensive program includes core and elective courses, a practicum, and is completed in two semesters plus a summer. Admission is highly competitive, requiring a CMU bachelor's degree, completion of specific courses with a B or better, and submission of a statement of purpose, among other documents. Notably, GRE scores are not required, making this program an attractive option for CMU students looking to fast-track their education in machine learning.

• One-year program duration.
• Double-count up to three courses.
• Full-time study required.
• Campus-based program.
• Practicum included.
• Competitive admissions.
• No GRE scores required.
• Two letters of recommendation.
• Statement of purpose needed.
• Mid-semester grades submission.

Lehigh University offers an M.S. in Data Science with a specialized concentration in Machine Learning, designed for students aiming to master the application of data science in solving complex problems. This 30-credit program stands out for its flexibility, allowing students to choose between full-time (11 months) or part-time (up to 3 years) study options, with courses available both online and on-campus. The curriculum is meticulously crafted to cover a broad spectrum of topics, from statistical modeling to the ethical considerations in data science, ensuring graduates are well-prepared for roles in research and development. Admission to the program is competitive, requiring a solid academic background, though specific entrance exams are not mentioned. Financial aid options are available to support students throughout their studies.

• 30-credit program
• Machine Learning concentration
• Full-time in 11 months
• Part-time up to 3 years
• Online and on-campus options
• Comprehensive core courses
• Ethics in Data Science included
• Flexible elective options
• Thesis work available
• Strong technical foundation

Harrisburg University of Science and Technology offers a Master of Science in Information Systems Engineering and Management, a 36-credit online program tailored for those aiming to excel in the intersection of technology and business. With concentrations in Artificial Intelligence for Business and Cloud Computing for Business, alongside an Individualized study option, the program is designed to equip students with the skills to lead digital transformation initiatives. The curriculum emphasizes strategic planning, systems design, and management science, culminating in a capstone project. This SEVP compliant program is ideal for international students and does not require an entrance exam, focusing instead on practical, hands-on experience to solve real-world business challenges.

• 36 credit hours
• Online program
• SEVP compliant
• Three concentrations available
• 12 courses total
• Core and elective courses
• Capstone project
• Focus on digital transformation
• Global perspective
• Hands-on experience

Robert Morris University offers a Master of Science in Applied Artificial Intelligence, tailored for individuals aiming to excel in the rapidly evolving AI and ML sectors. This program stands out by integrating foundational theories with hands-on applications, including image processing, natural language processing (NLP), and ethical considerations in AI. Ideal for students with a computer science or related background, it provides the flexibility of online and on-campus learning. The curriculum is rich with courses on Python programming, data mining, and AI applications in cybersecurity, preparing graduates for lucrative roles such as AI engineers and data scientists. Notably, the program emphasizes AI ethics and governance, ensuring responsible use of technology. With an average graduate salary of $145,000, it's a gateway to high-demand careers. The program does not explicitly mention requiring an entrance exam, making it accessible to a broader audience.

• 30 program credits.
• Available online or on-campus.
• Covers AI ethics and governance.
• Includes Python programming.
• Focus on AI in cybersecurity.
• Average salary $145,000.
• Scholar-practitioner faculty.
• Flexible learning options.
• Comprehensive AI life cycle.
• High-demand career opportunities.

Slippery Rock University of Pennsylvania offers an innovative Master of Science in Data Analytics, designed for those looking to dive deep into the data-driven world. This fully online program stands out for its flexibility, allowing completion in as little as 10 months full-time or 2 years part-time. With a curriculum that spans from statistical analysis to machine learning, students gain hands-on experience with modern technologies. A unique feature is the SAS Academic Specialization, preparing graduates for high-demand roles. Notably, the program welcomes all applicants without requiring a GRE, offering conditional admission for those with GPAs below 3.0. Experienced faculty guide students through a comprehensive learning journey, ensuring readiness for the evolving analytics landscape.

• 100% Online Coursework
• 33-credit program
• 10 months full-time
• 2 years part-time
• SAS Academic Specialization
• No GRE required
• Open to all students
• Conditional admission available
• Experienced faculty
• Covers modeling and analytics

Temple University's MS in Computer Science with a Machine Learning concentration stands out for its rigorous curriculum that dives deep into artificial intelligence, machine learning, and data science. Designed for aspiring tech professionals and researchers, this campus-based program offers the flexibility of choosing between a final project or thesis, allowing students to align their studies with career goals. Notably, the program is military-friendly and boasts a hospital on campus, enhancing the learning environment. With tuition rates of $1,353.00 per credit for in-state and $1,765.00 for out-of-state students, it presents a valuable investment. Admission requires a bachelor's degree in a related field, but does not mandate an entrance exam, making it accessible to a broader range of applicants.

• Concentration in Machine Learning
• Campus-based program
• Competitive tuition rates
• Options for project or thesis
• Focus on AI and data science
• Prepares for tech and research careers
• Hands-on learning experiences
• Bachelor's degree required for admission

Pennsylvania State University-Main Campus offers a Master of Artificial Intelligence program, uniquely designed to blend theoretical knowledge with practical applications in AI. This STEM-designated program focuses on key areas such as Foundations of Artificial Intelligence, Natural Language Processing, and Computer Vision, preparing students for cutting-edge careers in AI. The hybrid format combines online and in-person learning, providing flexibility for working professionals. Notably, the program does not require GMAT/GRE scores, making it accessible to a broader audience. Students can complete the program in 12-18 months full-time, benefiting from industry collaborations and the Nittany AI Alliance. With a 33-credit curriculum, the program is ideal for those aiming to lead in AI development and implementation.

• STEM-designated program
• No GMAT/GRE required
• Hybrid delivery option
• 33-credit curriculum
• Focus on machine learning
• Natural language processing
• Computer vision
• Flexible completion time
• Industry collaboration opportunities
• World-class faculty

Pennsylvania State University-World Campus presents an innovative Master of Artificial Intelligence program, tailored for those eager to delve into the realms of AI, machine learning, natural language processing, and computer vision. This 33-credit online curriculum is meticulously designed to blend theoretical foundations with practical applications, preparing students to tackle real-world challenges in AI development. Admission prerequisites include a bachelor's degree in a related field, alongside foundational knowledge in mathematics and programming. Priced at $1,067 per credit, the program offers financial aid to eligible students. Distinguished faculty lead the program, ensuring a rich learning experience that emphasizes the creation and implementation of AI solutions across various sectors.

• 33-credit online program
• Covers AI, ML, NLP, CV
• $1,067 per credit
• Bachelor's degree required
• Mathematics prerequisites
• Programming prerequisites
• Financial aid available
• Taught by experienced faculty
• Practical applications focus
• Flexible online format