New York Machine Learning Masters Degree Programs

The State University of New York at New Paltz offers an MS in Computer Science with a concentration in machine learning, web and database development, and cybersecurity. This 30-credit program is designed to accommodate students from various academic backgrounds, aiming to propel them into advanced roles within the tech industry. With a curriculum that balances theoretical foundations and hands-on applications, students are well-prepared for the demands of modern technology sectors. The program features flexible scheduling, including in-person classes during fall and spring semesters and online courses in the summer, allowing full-time students to graduate in just three semesters. Admission requires a 3.0 GPA, official transcripts, an admission essay, and three letters of recommendation, with no GRE needed. Notably, the program welcomes applicants from all undergraduate majors, emphasizing inclusivity and diversity in tech education.

• 30-credit program.
• Concentrations in machine learning, web development, cybersecurity.
• Flexible in-person and online courses.
• Full-time completion in 3 semesters.
• Open to all undergraduate majors.
• 3.0 GPA required for admission.
• Official transcripts needed.
• Admission essay required.
• Three letters of reference.
• Emphasizes theoretical and practical skills.

Columbia University in the City of New York offers an online MS in Computer Science with a concentration in Machine Learning, tailored for professionals aiming to excel in AI and data analysis. This program stands out for its rigorous curriculum that includes algorithms, statistical modeling, and real-world applications across various sectors. Designed with flexibility in mind, it accommodates the schedules of working adults. Prospective students must hold a bachelor's degree in a relevant field, demonstrate programming proficiency, and submit GRE scores. The program's emphasis on combining theoretical knowledge with hands-on projects ensures graduates are well-prepared for lucrative careers in machine learning.

• Online MS program.
• Focus on Machine Learning.
• Flexible for professionals.
• Covers AI and data.
• GRE scores required.
• Programming proficiency needed.
• Blends theory and practice.
• Prepares for tech roles.

Long Island University's M.S. in Artificial Intelligence program stands out for its specialized focus on Machine Learning & Pattern Recognition, Data Mining and Exploration, and Applicable Deep Learning. This 30-credit, campus-based program is tailored for students aiming to excel in AI research and development, offering a blend of theoretical foundations and practical skills. With courses such as Programming in Python, Statistical Learning, and Deep Learning, students are equipped to tackle real-world challenges. The program provides flexibility with both course-only and thesis options, alongside access to a state-of-the-art learning center for hands-on experience with the latest technologies. No entrance exam is required, making it accessible to a wide range of applicants. Located in New York, it's an ideal choice for those seeking to advance their careers in AI within a vibrant tech ecosystem.

• 30-credit M.S. program
• Focus on Machine Learning
• Includes Data Mining
• Offers Deep Learning courses
• Course-only and thesis options
• State-of-the-art learning center
• Prepares for AI careers
• Located in NY
• Hands-on technology experience
• Multidisciplinary study approach

The University at Buffalo offers an Engineering Science (Artificial Intelligence) MS program that stands out for its focus on data analytics, computational linguistics and information retrieval, and machine learning and computer vision. This program is tailored for students aiming to master AI technologies through a curriculum that emphasizes predictive analytics, machine learning, and deep learning algorithms. With options for full-time or part-time study, the program requires 30 credit hours and is designed to be completed in 1.5 to 2 years. Located in Buffalo, NY, the campus provides a dynamic learning environment. Admission is competitive, and applicants should note the $100 application fee. No entrance exam is explicitly required, making it accessible to a broader range of students.

• Multidisciplinary AI program
• Concentrations in key AI areas
• Campus-based instruction
• Full and part-time options
• 30 credit hours required
• 1.5 to 2 years completion
• $100 application fee
• Focus on real-world problem solving
• Machine learning and deep learning
• Predictive analytics training

The University at Albany's MS in Data Science with a Machine Learning concentration is a STEM-designated program that delves into topological data analysis, machine learning, and statistical methods, utilizing programming tools such as Python, R, and TensorFlow. Tailored to individual career aspirations with advisor guidance, the curriculum encompasses core courses, electives, and a capstone project. Admission prerequisites include academic transcripts, a statement of goals, and a recommendation letter. Notably, this program offers international students the opportunity for OPT work authorization, paving the way for careers as data scientists or machine learning engineers. No entrance exam is mentioned as a requirement.

• STEM designated program
• Concentration in Machine Learning
• Hands-on experience with Python, R
• Capstone project required
• Advisor-supported personalized tracks
• International students eligible for OPT
• Comprehensive data science curriculum
• Focus on topological data analysis
• Practical applications in various industries
• Letter of recommendation needed

SUNY Polytechnic Institute's Master of Science in Computer Science, specializing in Artificial Intelligence & Modeling, is designed for those aiming to excel in AI. This campus-based program requires 33 credit hours, blending theory with hands-on experience in software engineering, systems, and algorithms. With access to cutting-edge labs and a faculty rich in diverse expertise, students can choose between a thesis or project to complete their degree. A solid foundation in computing, programming, and math is essential for admission. Graduates are well-prepared for careers as Computer Scientists and Software Engineers, among others, in top-tier companies.

• 33 credit hours required.
• Concentration in AI & Modeling.
• On-campus program.
• State-of-the-art labs available.
• Diverse faculty expertise.
• Thesis or project option.
• Strong career outcomes.
• Comprehensive curriculum.
• Admission requires computing background.
• Focus on practical applications.

The State University of New York at Oswego offers a Biomedical and Health Informatics MS program with a unique concentration in Artificial Intelligence and Machine Learning, alongside Big Data Analytics and Healthcare Systems Management. This hybrid program blends online and on-campus learning at the Syracuse Campus, designed to arm students with the expertise needed to innovate in healthcare through AI and data analytics. It's a STEM-designated, CAHIIM-accredited program requiring 33-36 credit hours at $471 per credit for NY residents. With rolling admissions for Fall, Spring, or Summer starts, the program recommends GRE scores but makes them optional, focusing instead on a bachelor's degree with prerequisites in statistics and computer applications. Practical learning prepares graduates for roles like Clinical Informatics Specialist, emphasizing a hands-on approach to healthcare technology.

• Hybrid program: online and Syracuse Campus.
• Concentrations in AI, Big Data, Healthcare Management.
• 33-36 credit hours required.
• $471 per credit for NY residents.
• Rolling admission: apply anytime.
• Start Fall, Spring, or Summer.
• CAHIIM accredited program.
• STEM designated.
• Focus on AI and machine learning.
• Big data analytics track available.

Hofstra University's MS in Data Science stands out for its comprehensive curriculum that bridges theoretical knowledge with practical application, particularly in machine learning and data analytics. The program is designed to equip students with a robust mathematical foundation and hands-on experience through the DeMatteis Co-op Program, collaborating with leading corporate partners. Notably, Hofstra does not require a GRE for admission, enhancing accessibility for prospective students. With 30 semester hours required, the program is structured around prerequisites in programming and calculus, ensuring students are well-prepared. Hofstra's commitment to providing state-of-the-art facilities, expert faculty, and small class sizes fosters an enriching learning environment. Additionally, the university offers scholarships and rolling admissions, making it a flexible option for aspiring data scientists.

• No GRE required.
• 30 semester hours.
• Hands-on co-op program.
• Scholarships available.
• Expert faculty.
• State-of-the-art facilities.
• Rolling admissions.
• Focus on machine learning.
• Strong math foundation.
• Corporate partnerships.

Marist College offers a Master of Science in Computer Science with a specialized concentration in Artificial Intelligence, designed to prepare students for advanced roles in AI and machine learning. This STEM-designated program stands out for its collaboration with IBM, providing students with unparalleled access to cutting-edge technology and real-world applications. The curriculum delves into key areas such as machine learning, deep learning, computer vision, and natural language processing. Flexible scheduling with evening classes and full-time or part-time options makes it ideal for working professionals. Admission is competitive, requiring a bachelor's degree in a related field, with the GRE being optional for those demonstrating strong academic or professional achievements.

• STEM program
• Evening classes available
• Full-time or part-time options
• Hands-on IBM technology access
• Covers AI, machine learning
• Deep learning included
• Computer vision courses
• Natural language processing
• GRE optional for qualified
• Bachelor's degree required

Mercy University offers a distinguished M.S. in Computer Science with a concentration in Artificial Intelligence and Machine Learning, designed for those aiming to lead in tech innovation. This 36-credit hybrid program merges in-depth theoretical knowledge with hands-on experience in AI and ML, covering areas like computational data analysis, deep learning, and natural language processing. Tailored for future data scientists, AI developers, and research scientists, the program supports flexible scheduling with both online and on-campus options. Applicants need a bachelor's degree with a minimum 3.0 GPA, alongside a statement of purpose and a letter of recommendation. Notably, the program does not require an entrance exam, making it accessible to a broader range of students.

• 36-credit program
• Hybrid learning options
• Focus on AI and ML
• Rolling admissions
• Flexible full-time/part-time
• Online and on-campus
• Bachelor's degree required
• 3.0 GPA minimum
• Statement of purpose needed
• Letter of recommendation required

St. John's University-New York offers a Master of Arts in Applied Mathematics, Computing, and Machine Learning, designed for students aiming to master data analysis and strategic decision-making. This 33-credit campus program integrates theoretical foundations with practical applications, focusing on machine learning, artificial intelligence, and data science. Students delve into probabilistic methods and algorithmic techniques, preparing for lucrative careers in technology and analytics. Admission prerequisites include a bachelor's degree, a professional goals statement, transcripts, and recommendation letters. Notably, the program does not require an entrance exam, making it accessible to a broader range of applicants. Scholarships further enhance its appeal, supporting students in achieving their academic and professional aspirations.

• 33 credit hours required.
• Campus-based program.
• Focus on machine learning.
• Includes artificial intelligence.
• Scholarships available.
• Bachelor's degree required.
• Professional goals statement needed.
• Transcripts and letters required.
• Comprehensive curriculum.
• Prepares for high-demand careers.

SUNY Buffalo State University's Master of Science in Data Science and Analytics program stands out for its specialized concentrations in Machine Learning for Data Science, Machine Learning Models in Python, and Machine Learning for Materials Science in Clean Energy. This campus-based program is tailored for those with foundational programming and statistical skills, offering a robust curriculum that spans 30 credit hours. Students delve into machine learning, data visualization, and project management, gaining practical experience through internships. Admission criteria include a bachelor's degree with a 2.5 GPA minimum, a statement of intent, and an interview. Notably, the program does not require an entrance exam, making it accessible to a broader range of applicants.

• 30 credit hours.
• Campus-based program.
• Focus on machine learning.
• Includes internship opportunities.
• Open to all undergraduate majors.
• Covers data visualization.
• Teaches Python, SQL, SAS.
• Emphasizes project management.
• Requires statement of intent.
• Minimum GPA 2.5 for admission.

Manhattanville College's MS in Computer Science with a Machine Learning concentration is tailored for those aiming to excel in the tech industry. This program emphasizes a blend of theory and practice, covering essential topics such as database design, algorithms, and web development. With a focus on AI and robotics, students undertake hands-on projects and a capstone practicum. The curriculum is adaptable, enabling specialization in Machine Learning. Applicants need a bachelor's degree in a related field or equivalent coursework, maintaining a 3.0 GPA. The two-year program boasts an 11:1 student-faculty ratio, ensuring personalized guidance. Financial aid and graduate housing are among the supportive features offered.

• Two-year program duration
• Concentration in Machine Learning
• Hands-on capstone project
• Flexible curriculum with electives
• 11:1 student-faculty ratio
• In-person classes in NY
• Graduate practicum included
• Focus on AI and robotics
• Admission requires 3.0 GPA
• Financial aid available

Utica University's M.S. in Computer Science, specializing in Artificial Intelligence, is a STEM-designated program designed to equip students with the expertise needed for advanced roles in AI and machine learning. The curriculum emphasizes both theoretical foundations and practical applications, featuring hands-on projects and research under the guidance of seasoned faculty. Key areas of study include machine learning, deep learning, and natural language processing. Completion of the program requires 30 credit hours, encompassing core courses, AI specialization, electives, and a choice between a thesis or a project. Prospective students should have a background in calculus, probability/statistics, and object-oriented programming. This program is tailored for aspiring AI professionals, offering pathways to lucrative careers with a median salary of $136K for computer research scientists. No entrance exam is mentioned as required for admission.

• STEM-designated program.
• Concentration in Artificial Intelligence.
• 30 credit hours required.
• Hands-on projects and research.
• Expert faculty instruction.
• Covers machine learning, NLP.
• Thesis or project option.
• Prerequisites include calculus.
• High-demand career paths.
• Median salary $136K.