Massachusetts Machine Learning Masters Programs

The University of Massachusetts-Amherst offers a specialized M.S. Concentration in Artificial Intelligence and Machine Learning Systems, designed to immerse students in the advanced study of AI and ML. This program stands out for its rigorous curriculum that includes five specialized courses, ranging from image processing to neural networks, ensuring a comprehensive understanding of both theoretical and practical aspects. Ideal for those aiming for careers in research or industry, it emphasizes hands-on lab experiences and a blend of hardware and software knowledge. Admission is contingent upon meeting the Electrical and Computer Engineering MS degree requirements, with no mention of an entrance exam, highlighting its accessibility to qualified candidates from diverse academic backgrounds.

• Focus on AI/ML Systems.
• Campus-based program.
• Five specialized courses required.
• Lab components included.
• Prepares for research or professional roles.
• Admission based on MS degree criteria.
• Covers image processing to neural networks.
• Blends theory with practical experience.
• For students from diverse backgrounds.
• Focus on both hardware and software.

Worcester Polytechnic Institute's Master of Science in Artificial Intelligence with a Machine Learning concentration stands out for its hybrid format, combining online and on-campus learning. This program is designed for those aiming to delve deep into machine learning and deep learning, offering a project-based curriculum that culminates in a capstone or thesis. Students have the flexibility to focus on areas like AI & Health or AI & Security, guided by world-class faculty. The program not only emphasizes real-world applications but also prepares graduates for the burgeoning AI job market. A bachelor's degree is required for admission, with foundational courses available for students needing additional preparation. Notably, the program does not require an entrance exam, making it accessible to a broader range of applicants.

• Hybrid learning option.
• Concentration in Machine Learning.
• Project-based curriculum.
• Capstone or thesis option.
• Interdisciplinary approach.
• World-class faculty.
• Real-world experience focus.
• Flexible study options.
• Prepares for high-demand careers.
• Admissions require bachelor's degree.

Northeastern University's Master of Science in Artificial Intelligence program, with a concentration in Machine Learning, stands out for its rigorous 32-credit curriculum that merges theoretical foundations with hands-on applications in data science, deep learning, and robotics. Situated in Boston, MA, students benefit from a dynamic academic setting, access to state-of-the-art research facilities, and strong industry ties. The program emphasizes a practical approach to AI, offering co-op opportunities for real-world experience. Admission is competitive, valuing academic achievement and innovative potential in AI. While the GRE is required for admission, the program's comprehensive support includes financial aid options to assist students.

• 32 credit hours required
• Concentration in Machine Learning
• Campus-based program
• Located in Boston, MA
• Financial aid available
• Co-op opportunities
• Cutting-edge research facilities
• Industry connections
• Comprehensive AI curriculum
• Practical applications focus

Harvard University's Master's in Data Science with a Machine Learning concentration stands out for its rigorous curriculum that blends statistical modeling, machine learning, and big data analytics. Designed for students with a strong foundation in calculus, linear algebra, and programming, this on-campus program spans at least three semesters, requiring completion of 12 courses. It offers a unique blend of theoretical knowledge and practical skills, including data visualization and ethical data management, preparing graduates for leadership roles in data science. Financial support through scholarships, loans, and teaching fellowships is available. Notably, the program does not mandate a GRE for admission, focusing instead on academic preparedness and potential.

• 12 courses required
• 3 semesters minimum
• Machine Learning concentration
• Campus-based program
• No formal prerequisites
• Background in calculus needed
• Programming fluency required
• Interdisciplinary field
• Financial aid available
• Teaching fellowships offered

Brandeis University's Master of Science in Computer Science program, with a specialized concentration in machine learning, is tailored for individuals holding an undergraduate degree in computer science. This 9-course, on-campus program in Waltham, MA, integrates deep theoretical foundations with hands-on applications, equipping students for the evolving fields of AI and robotics. Its strategic location near Boston's thriving tech industry offers unparalleled internship and networking opportunities. The program stands out for its commitment to personalized education, interdisciplinary approach, and financial support through scholarships. Prospective students should note that while the program fosters career growth and PhD preparation, it requires a solid computer science background for admission, though specific entrance exams are not mentioned.

• 9-course master's program
• Concentration in machine learning
• Located in Waltham, MA
• Proximity to Boston tech scene
• Scholarships available
• Individualized attention
• Interdisciplinary training
• Career advancement opportunities
• PhD preparation
• Strong alumni network

Fitchburg State University offers a Master of Science in Computer Science with a Data Science Concentration, tailored for students seeking expertise in data analysis, visualization, and machine learning. This program stands out for its flexibility, allowing completion in 2 to 6 years, catering to working professionals. The curriculum delves into critical areas such as database development and data mining, equipping graduates for success in diverse sectors like healthcare and finance. Notably, the program does not require GRE or MAT scores for admission, emphasizing accessibility. Ideal candidates possess a bachelor's degree, preferably in computer science or a related field, ready to tackle the challenges of the data-driven economy.

• 33 credits total.
• Complete in 2-6 years.
• On campus, evening classes.
• 100% online option available.
• No GRE or MAT required.
• Focus on data science.
• Covers data analysis, visualization.
• Includes machine learning.
• Prepares for high-demand careers.
• Flexible for working professionals.

The University of Massachusetts-Lowell's Master of Science in Computer Science with a Machine Learning concentration is tailored for individuals seeking to deepen their expertise in this rapidly evolving domain. This 30-credit, on-campus program offers a blend of theoretical knowledge and practical skills in algorithms, data mining, and AI, preparing students for leadership roles in technology. With options for full-time or part-time study, the program is designed to accommodate working professionals. Notably, GRE scores may be waived for qualified applicants, enhancing accessibility. Graduates are well-positioned for careers at leading tech firms, supported by the program's STEM-OPT eligibility and strong industry connections.

• 30-credit master's degree.
• Concentration in Machine Learning.
• On-campus delivery.
• Full-time and part-time options.
• GRE waiver available.
• STEM-OPT eligible.
• Scholarships and financial aid.
• High return on investment.
• Alumni at top tech companies.
• Rigorous curriculum.

Boston College offers a Master of Science in Applied Analytics with a concentration in Machine Learning, Artificial Intelligence, and Data Analysis, designed for those aiming to excel in the tech-driven future. This STEM-designated, hybrid program combines rigorous academic theory with hands-on experience, ensuring graduates are ready to tackle real-world challenges. Unique features include a focus on ethical AI, small class sizes, and mentorship from an industry advisory board. Applicants need a bachelor's degree with a 3.0 GPA and prerequisites in Statistics and Calculus. The program does not explicitly require an entrance exam, making it accessible to a broader range of students. At $1,432 per credit, the program is an investment in a future-proof career.

• STEM-designated program
• Focus on ML, AI, Data Analysis
• Hybrid learning format
• $1,432 per credit tuition
• 3.0 GPA requirement
• Statistics and Calculus prerequisites
• Flexible full or part-time study
• Real-world project experience
• Ethical AI and governance focus
• Strong faculty industry ties

Boston University's MS in Artificial Intelligence stands out for its specialized focus on machine learning, computer vision, and natural language processing. This campus-based program is tailored for individuals with a computer science background, offering an 8-course curriculum that blends theoretical foundations with practical applications. Students can choose electives in data science, algorithms, and cryptography, with a thesis option for those inclined towards research. The program is designed to prepare graduates for both industry roles and further PhD studies, emphasizing the development of skills to solve real-world AI challenges. Notably, the program is military-friendly and does not explicitly require an entrance exam, making it accessible to a broad range of applicants.

• Focus on machine learning.
• Computer vision specialization.
• Natural language processing focus.
• 8-course, 32-credit program.
• Thesis option available.
• Core courses in AI fundamentals.
• Electives in data science.
• Algorithms and cryptography electives.
• Prepares for industry or PhD.
• For CS undergrads or equivalent.

Clark University's Master's in Applied Artificial Intelligence stands out for its STEM-designated status, blending technical prowess with ethical AI practices. Designed for rapid career entry, the program can be completed in just 18 months, offering concentrations in Generative Intelligence and Applications or Visual Computing and Imaging. Core courses such as Applied Machine Learning and Ethics in AI are complemented by a wide range of electives, allowing for deep specialization. With no GRE requirement, the program emphasizes practical learning through hands-on projects and a capstone practicum. Scholarships are readily available, enhancing accessibility for both domestic and international students aiming for roles like AI Engineer or Data Scientist.

• STEM-designated degree
• 18-month completion possible
• Expert faculty
• Practical learning focus
• Ethics in AI covered
• Generous scholarships
• Career-focused curriculum
• Hands-on projects
• Real-world applications
• Flexible elective options

The Wentworth Institute of Technology in Boston, MA, provides a Master of Science in Applied Computer Science, specializing in Artificial Intelligence & Machine Learning, tailored for aspiring leaders in technology-driven sectors. This program emphasizes a blend of theoretical foundations and practical skills, with a curriculum covering AI, machine learning, and software engineering in contemporary computing settings. Offering flexible pathways including 4+1, 2-Year, and 3-Year options, it accommodates students from varied academic backgrounds. Graduates are well-prepared for high-demand roles such as Machine Learning Engineers and Systems Architects. The program requires a thesis for completion and is accredited by NECHE, ensuring a rigorous academic standard. No entrance exam is explicitly mentioned as required.

• Concentration in AI & Machine Learning
• Hands-on, experiential learning
• 4+1, 2-Year, and 3-Year program options
• Prepares for leadership in tech
• Focus on modern computing environments
• Thesis required for completion
• Accredited by NECHE
• On-campus program
• Advanced training in software engineering
• Courses in data mining and machine learning