8 Top AI Masters Programs in New York

AI-related roles command up to 77% higher salaries than comparable tech positions and are growing faster than nearly any other job category. Technology companies that lead the industry now require master’s or PhD degrees in artificial intelligence for their advanced positions more than ever. AI master’s degree programs in New York give you access to world-class education in one of the nation’s tech hubs. You can choose a master’s in artificial intelligence focused on core computer science or a master’s in AI for business. New York offers a variety of options to match your career goals.

1. Columbia University – Master’s in Artificial Intelligence

Overview of AI Programs at Columbia

Columbia University’s Master of Science in Artificial Intelligence combines rigorous computer science fundamentals with specialized domain training across multiple disciplines. The program launches in Fall 2026 with an original cohort of 40 to 60 students, expanding to 150 students annually by Fall 2029. You can choose between in-person, on-campus study or a fully online version. Both maintain similar academic requirements and rigor.

The 30-credit curriculum requires three semesters of full-time study across 48 weeks. This structure allows you to complete four core AI foundational courses and four concentration-specific courses. You also complete two additional credits through electives or a two-semester capstone project. The capstone option has both didactic and research components with strong industry partner participation to address ground challenges.

Key Program Features and Concentrations

Columbia’s program stands apart through its cross-disciplinary approach. The university partners with schools across campus to offer 11 distinct concentrations:

• AI and Advanced Computing
• Robotics and Perception
• AI and Finance and Operations
• AI and Biomedical
• AI Infrastructure
• AI and UI/UX
• AI and Health and Medicine
• AI and Public Health
• AI and Arts, Creativity, and Media
• Statistical Foundations of AI
• AI and Architecture and Urbanism

Your transcript and diploma will annotate your specific concentration. This provides clear credential differentiation for employers. Faculty from Columbia Engineering and partner schools jointly plan each concentration’s curriculum. This ensures both technical depth and domain expertise.

What Makes Columbia’s AI Program Stand Out

The program’s interdisciplinary scope attracts students from a variety of backgrounds while maintaining technical rigor. Over 75 percent of students in Columbia’s existing dual degree program with Columbia Business School elect into the AI and machine learning concentration. This demonstrates what students just need. The university has seen high demand and overenrollment in AI-related courses, including machine learning and natural language processing.

Columbia Engineering employs more than 70 full-time faculty members across 10+ large research centers focused on AI. The school hosts an ongoing Lecture Series in AI and brings leading voices to campus. These resources position you within a diverse research and learning culture while connecting you with extensive industry partnerships.

Admission Requirements and Prerequisites

You need a bachelor’s degree from an institution of acceptable standing to apply. The program accepts students from various backgrounds, though an undergraduate STEM degree is recommended. You must submit TOEFL or IELTS scores if you received your degree in countries where English is not the primary language.

All students must show proficiency in programming, especially Python. You also need knowledge of data structures and algorithms, linear algebra, and calculus or probability. The program provides preparatory or bridge courses to support your transition if you lack these prerequisites. The application deadline for Fall 2026 on-campus enrollment is March 15, 2026. The online program accepts applications until August 15, 2026.

Career Outcomes and Industry Connections

The global AI market is projected to reach $407 billion by 2027. Experts expect 97 million new AI-related roles worldwide by 2030. Positions such as AI and ML engineer, applied scientist, and data scientist with AI focus rank among the fastest-growing job categories.

Your location in New York City provides direct access to finance, healthcare, media, and law organizations that are early and heavy adopters of AI technology. This geographic positioning creates a strategic edge. Columbia’s program prepares you for NYC-based industry clusters. Industries seek skilled professionals for roles in AI model development, algorithmic trading, fraud detection, AI-driven medical imaging, and AI content generation.

2. Cornell University – Master of Engineering in Computer Science with AI Focus

Overview of AI Programs at Cornell

Cornell’s Master of Engineering in Computer Science operates as a two-semester program that deepens your technical expertise through advanced coursework and a capstone project. You can pursue this degree at either the Ithaca campus or Cornell Tech in New York City. Both locations offer distinct advantages for your career trajectory.

The Cornell Tech campus positions you in NYC’s tech ecosystem. You’ll complete rigorous technical courses alongside Studio courses that address real business challenges. These Studio experiences involve cross-disciplinary collaboration with students from business and law programs. They prepare you to solve multifaceted problems companies face.

Cornell offers an AI for Engineers certificate designed for M.Eng. students who are interested in artificial intelligence. This credential demonstrates your mastery of AI fundamentals and technologies. It covers modern artificial intelligence and machine learning from foundational algorithms to practical applications.

Key Program Features and Concentrations

The AI for Engineers certificate requires you to select at least three courses from a curated list. At least one must be marked as a core requirement. Your options include:

• CS 5785 Applied Machine Learning (core requirement)
• CS 5781 Machine Learning Engineering (core requirement)
• CS 5787 Deep Learning (core requirement)
• CS 5788 Introduction to Generative Models
• CS 5789 Introduction to Reinforcement Learning
• CS 5744 Language Modeling
• CS 5670 Computer Vision
• CS 5434 Trustworthy AI

You must also complete one course addressing AI ethics, law, and regulation. Choose from LAW 6146 AI Law and Policy, CS 5382/INFO 5390 Fairness in Machine Learning, or specialized courses in healthcare AI and optimization.

The program emphasizes practical application rather than purely theoretical study. Your capstone project provides advanced knowledge and skills in specific areas of computer science. This prepares you for state-of-the-art work within major tech companies or entrepreneurship within startup ventures.

What Makes Cornell’s AI Program Stand Out

Cornell’s approach to AI extends beyond a single department. The Cornell AI Initiative represents a university-wide effort that advances leadership in AI research and education while creating, applying, and evaluating AI as a tool in any discipline. This breadth includes computational scientists developing foundational algorithms and social scientists scrutinizing AI’s effect on organizations. Domain experts advance learning through AI applications.

The Computer Science department maintains active research in artificial intelligence. Core areas include machine learning, natural language processing, robotics, computer vision, and computational biology. Faculty expertise spans from theoretical foundations to practical implementations. Researchers focus on human-robot interaction, neural networks, and AI ethics.

Cornell Tech’s location in NYC provides direct exposure to the tech industry ecosystem. You’ll participate with employers including Google, Amazon, Microsoft, Bloomberg, and Palantir, along with emerging startups. This urban setting creates opportunities for internships and networking. You’ll understand how tech companies deploy AI solutions at scale.

Admission Requirements and Prerequisites

You need limited or formal computer science coursework before applying. The program recommends reviewing prerequisite information to assess your readiness. The M.Eng. program accepts students with varying CS backgrounds, making it more available compared to research-focused alternatives.

Strong preparation includes coursework equivalent to object-oriented programming, functional programming, discrete structures, and computer system organization. Cornell provides guidance on bridging knowledge gaps before enrollment if your background is different.

Career Outcomes and Industry Connections

Cornell Tech’s Computer Science M.Eng. graduates achieved a 94% employment rate within nine months of graduation. Among recent job seekers, 90% accepted Software Developer roles at mature companies or startups. Others moved into Product Manager, Program Manager, Data Analyst, or Data Scientist positions.

The median salary reached $135,000 in 2024 and climbed to $140,000 in 2025. Most offers included equity, sign-on bonuses, year-end bonuses, performance incentives, and relocation allowances where applicable.

Employers hiring Cornell Tech graduates include Google, Amazon, Palantir, Bloomberg, Visa, Microsoft, TikTok, and Scale AI. The program’s 74% job seeker rate demonstrates strong industry demand. 11% of graduates founded their own ventures. This dual pathway reflects Cornell’s emphasis on both corporate state-of-the-art work and entrepreneurship.

3. New York University – Master’s in Computer Science with AI Specialization

Overview of AI Programs at NYU

NYU Tandon School of Engineering offers multiple pathways for pursuing AI Masters degree programs in New York. Each program targets distinct career objectives. The M.S. in Computer Science provides a highly adaptive program where you shape your degree around specific interests. Machine learning and AI are among the focus areas you can pursue through a wealth of elective options beyond core curriculum fundamentals. NYU Tandon introduced the M.S. in Emerging Technologies alongside this program. You can take it on-campus or fully online. The program places strong emphasis on artificial intelligence while maintaining signature flexibility in advanced fields.

The Emerging Technologies program allows you to design personalized curricula in multiple technology domains. 95% of students in various concentrations enrolled in AI-related courses in the program’s first cohort. This demonstrates strong student interest in AI education. The 30-credit program requires 12 credits of concentration coursework. You must complete a concentration capstone course and 18 credits of interdisciplinary electives.

Key Program Features and Concentrations

The M.S. in Emerging Technologies offers nine technology-focused concentrations. Machine learning and AI serve as one dedicated option. You can explore cybersecurity, innovation and change management, robotics, or user experience design beyond this core concentration. This breadth reflects how AI applications span different industries, from healthcare to finance and creative sectors.

You work with a dedicated advisor who shapes a customized academic plan tailored to your interests and ambitions. The program strongly encourages selecting 6 of your 18 elective credits from approved AI Competency courses. These courses emphasize building and deploying AI-driven solutions. You can also explore courses from schools outside Tandon and expand your interdisciplinary exposure.

The traditional M.S. in Computer Science at Tandon allows you to tailor your degree to professional goals. Areas of focus include cybersecurity, data science, information visualization, machine learning and AI, graphics, game engineering, and algorithms. This flexibility extends to your educational and professional background. The program becomes available to students from varied technical foundations.

What Makes NYU’s AI Program Stand Out

Your location in NYC provides direct access to one of the world’s busiest professional ecosystems. You’ll find headquarters of finance giants, creative agencies, startups, hospitals, and tech companies within blocks of campus. This matters especially for AI students. NYU’s partnerships with organizations in media, tech, arts, and engineering give you early access to real work and industry-informed learning.

AI is expected to create 97 million new jobs globally by 2025. Skills for AI-exposed positions change 66% faster than other roles. Workers possessing AI expertise command a 56% wage premium. This market demand directly informs NYU Tandon’s curriculum progress and program structure.

Admission Requirements and Prerequisites

You need a four-year bachelor’s degree from a regionally accredited U.S. institution or its international equivalent. The minimum GPA requirement is 3.0 on a 4.0 scale. Well-qualified candidates for the Emerging Technologies program demonstrate programming skills, technical proficiency, and a strong quantitative background from previous college-level coursework.

International applicants whose first language is not English must submit English language proficiency scores. Minimum requirements include a TOEFL score of 90, IELTS score of 7.0, Duolingo score of 125, or Pearson PTE Academic score of 65. You need two recommendation forms from professors, employers, or supervisors who can comment on your academic achievements and professional goals.

Career Outcomes and Industry Connections

NYU graduates achieve strong outcomes in various disciplines. 85% find employment or pursue advanced study within six months. The alumni network spans globally with local connections that fuel job leads in NYC. Top employers include Google, JP Morgan, NBC Universal, and Mount Sinai.

The median annual salary for data science reaches $108,020. The job growth rate is 36%. The average base salary for a data scientist in New York City is $128,734 as of March 2025. Recent graduates hold positions as AI engineers, data scientists, software engineers, product managers, and researchers. They work in government, tech, consulting, and finance sectors.

4. CUNY School of Professional Studies – Master of Science in Generative AI

Overview of the Generative AI Program

CUNY School of Professional Studies launched its Master of Science in Generative AI in January 2026 and established one of the first graduate programs in the United States dedicated to generative artificial intelligence. The 30-credit hour program operates online and provides flexibility to working professionals who need to advance their skills without interrupting their careers. This program targets tech-savvy executives, business transformation officers, and decision-makers who seek to understand how to deploy AI solutions within organizational contexts. Traditional computer science degrees with AI tracks differ from this approach.

The curriculum centers on practical application rather than building models from scratch. You’ll study how data is tokenized, how embeddings encode knowledge including language patterns and reasoning, how high dimensional vectors capture meaning spatially, and how test time training generates and scores inferences. Coursework spans machine learning, neural networks, large language models, prompt engineering, fine-tuning, in-content learning, retrieval-augmented generation, and agentic AI. Faculty with expertise in both AI research and industry application guide you through hands-on projects that mirror organizational challenges.

Key Program Features and Concentrations

The program positions itself as executive education and teaches you what platforms and tools exist in the marketplace, how they function, and how to customize them. You’ll learn to adopt, customize, instruction fine-tune, and data augment existing models to automate workflows and processes. The program skips the underlying mathematics or technical model architecture.

Your capstone project requires solving a ground problem using generative AI. As with student projects in other CUNY programs that have addressed machine-learning approaches to diagnosing Parkinson’s disease and predicting hospital stay lengths, this applied focus prepares you. Use cases span content creation, design simulation, customer support, supply chain optimization, customer personalization, and demand forecasting.

What Makes CUNY’s AI Program Stand Out

CUNY’s management-oriented approach distinguishes it from programs focused on building large language models from scratch. You’ll explore different model types, variants, releases, frameworks, utilities, toolkits, APIs, and user interfaces to understand their costs, capabilities, and customization options. The program commits to continuous curriculum updates as technology companies release more powerful models with advanced features. Organizational value generation drives these explorations.

Coursework extends beyond the classroom. You gain access to City Tutors mentorship events, monthly New York Open Statistical Programming meetups, and networking opportunities at conferences [223]. These connections support potential internships and employment while expanding your professional development.

Admission Requirements and Prerequisites

You need a bachelor’s degree from an accredited institution with a minimum 3.0 GPA. All applicants must complete the Bridge Tutorial, a free, self-paced online mini-course that assesses statistics and math skills required. The tutorial functions as an open-book assessment and provides instructional aids and feedback if you don’t pass at first. Candidates with strong technical or quantitative backgrounds in fields like mathematics or physics receive encouragement to apply.

Career Outcomes and Industry Connections

Graduates qualify as business transformation officers, program managers, product managers, solution architects, business process engineers, and prompt engineers. Jobs in AI and machine learning are growing faster than almost any other tech field, according to LinkedIn and McKinsey. The online format reduces financial barriers to entry and expands access to skills needed. Career advancement becomes possible whatever your current location.

5. Fordham University – Master’s in Artificial Intelligence in Business

Overview of the AI in Business Program

Fordham University’s Gabelli School of Business anchors its approach to AI education through the Fordham AI Business Hub. The school positions itself as New York City’s home for ethical, applied AI grounded in business expertise rather than pure technical model development. The 30-credit, STEM-designated Master of Science in Artificial Intelligence in Business prepares you to lead AI-driven transformation in organizational functions of all types. You can complete the degree in three semesters of full-time study. Part-time options accommodate professional responsibilities.

The curriculum emphasizes real-life applications and shows you how to adopt, manage and apply AI tools in business operations rather than building algorithms from scratch. Your foundational courses cover Artificial Intelligence, Machine Learning for Business, Quantitative Foundations for AI and Law and Ethics of AI. You select 15 credits from electives tailored to your professional interests and a 3-credit capstone project beyond these core requirements.

Key Program Features and Concentrations

The program offers flexibility through three optional tracks: Consulting and Organizational Change Management, Finance Industry and Technical Track. Elective options span Machine Learning for Finance, Artificial Intelligence in Asset Management, Generative AI for Managers, Large Language Models and Generative AI, Investment Analysis with Data Visualization and AI Implementation Strategies. This breadth allows you to customize your education whether you pursue AI strategy consulting, financial applications or deeper technical expertise.

What Makes Fordham’s AI Program Stand Out

The AI Business Hub connects companies, entrepreneurs, policymakers and community partners to deploy AI responsibly, informed by Fordham’s Jesuit commitment to purpose and service. Senior leaders from Adobe, BlackRock, EY, JPMorgan Chase, Morgan Stanley and Prudential have engaged with Fordham faculty to identify AI literacy needs and workforce strategies. The university co-hosted a Responsible AI conference with IBM, NYU and the AI Alliance that examined ethical and societal implications of AI deployment.

Admission Requirements and Prerequisites

You need a bachelor’s degree to apply. Backgrounds range from business professionals interested in enterprise AI to IT specialists seeking AI expertise. The application requires an online submission with a $140 fee, official transcripts, current resume and one essay that addresses why you’re joining the Gabelli community and how the program supports your career plans. The admissions committee requires interviews if invited. International applicants need TOEFL scores of 100, IELTS of 7, PTE of 68 or DET of 120. GMAT and GRE scores remain optional but can strengthen your application.

Career Outcomes and Industry Connections

The degree prepares you for roles as AI strategist, AI integration specialist, generative AI specialist, financial analyst (AI), AI algorithm trader, business intelligence engineer and AI product manager. Your Manhattan location near Wall Street, NYSE and NASDAQ provides direct access to financial firms and tech companies that implement AI solutions actively. The Gabelli School’s 45,000+ alumni network offers mentorship and employment opportunities around the world.

6. Adelphi University – Master’s in Artificial Intelligence and Machine Learning

Overview of AI and ML Programs at Adelphi

Adelphi University launched its Master of Science in Artificial Intelligence and Machine Learning in Fall 2024. The university established itself among the first area institutions offering both undergraduate and graduate degrees in AI. The program expands to the new Manhattan Center in Fall 2026 and provides tech professionals in NYC with career-advancing education. The 32-credit program takes 18 months to complete and combines online and in-person courses at either the Garden City campus or Manhattan location. This STEM-designated degree offers eligible international students the chance to extend their Optional Practical Training to 36 months.

Key Program Features and Concentrations

Your coursework integrates Adelphi’s core strengths in mathematics, statistics and computer science into one multidisciplinary curriculum. The engineering approach teaches you to develop, assess and optimize algorithms that mimic human thinking. Faculty customize courses based on your professional goals. Students propose research projects in healthcare, bioinformatics, sports analytics and financial services. The AI seminar updates each year with new tools and input from industry speakers. The Artificial Intelligence and Machine Learning Algorithms course refreshes with advanced algorithms and engineering practices.

What Makes Adelphi’s AI Program Stand Out

Class sizes average fewer than 25 students and provide extensive support in foundational courses with direct faculty access. You benefit from case studies drawn from authentic scenarios that include data sets from actual businesses such as a major e-commerce company and video game studio. This hands-on approach prepares you to deploy machine learning theory at scale and solve pressing business problems. You can apply for a 3-credit internship experience to build industry connections and expand your resume. The program offers a 4+1 curriculum option that allows undergraduates to combine bachelor’s and master’s degrees while saving a year of tuition.

Admission Requirements and Prerequisites

You need a bachelor’s degree from an accredited four-year institution in computer science, AI, mathematics, applied mathematics or a closely related field. The standard minimum GPA requirement is 3.0. Students with a 3.5 GPA or higher without the required technical background are invited to apply. International applicants must submit course-by-course evaluations from NACES member organizations. The application requires official transcripts from all institutions attended, an essay and a $60 application fee.

Career Outcomes and Industry Connections

Graduates achieve a 90% employment rate within six months of completion. Career paths span AI engineer, machine learning engineer, data scientist and business analyst positions in technology, government, healthcare and financial services sectors. The average starting salary ranges from $80,000 to $120,000. Adelphi’s Career Center provides lifelong support to alumni and offers resume development, interview preparation and access to Handshake to connect with employers.

7. Stony Brook University – Master’s in Computer Science with AI Track

Overview of AI Programs at Stony Brook

Stony Brook University houses AI Masters degree programs in New York through its AI Innovation Institute (AI3), a university-wide enterprise with 60+ core and affiliated faculty from multiple departments. You can pursue the Master of Science in Engineering of Artificial Intelligence (EAI), a three-semester program covering AI fundamentals, probabilistic reasoning, machine learning, deep learning algorithms, sensor electronics, digital systems design, control theory, convex optimization, natural language processing, and computer vision. The MS in Data Science program is another option. Applied Mathematics and Statistics and Computer Science departments offer it together and provide training in statistical analysis and big data management.

Key Program Features and Concentrations

The EAI program’s comprehensive nature allows you to specialize in any AI sub-field while addressing ground problems beyond algorithms and software. Your coursework spans applications in mobile, health, and other domains. The program gives you the critical computer engineering background in sensors, hardware, control, and applications.

What Makes Stony Brook’s AI Program Stand Out

Stony Brook’s Computer Vision Program ranks among the top 10 programs in the country. Around 40 graduate students work at the forefront of vision technologies that include medical imaging. The university has secured over $20 million in AI research funding, with 240+ students enrolled in AI courses and 70+ PhD students collaborating with AI faculty.

Admission Requirements and Prerequisites

You need a bachelor’s degree in Electrical Engineering, Computer Engineering, or related discipline with a GPA above 3.3. International applicants must submit TOEFL 80 or IELTS 6.5 scores. The GRE requirement has been waived.

Career Outcomes and Industry Connections

Graduates pursue roles as AI Product Managers, AI Researchers, Cybersecurity Vision Engineers, and Data Scientists. Alumni work at Amazon, Google, IBM, Meta, Microsoft, Nvidia, and OpenAI.

8. Rochester Institute of Technology – Master’s in Artificial Intelligence

Overview of AI Programs at RIT

Rochester Institute of Technology launched its Master of Science in Artificial Intelligence in Fall 2023. The 30-credit program draws from four colleges: Golisano College of Computing and Information Sciences, College of Liberal Arts, College of Science, and Kate Gleason College of Engineering. You’ll complete the degree in two years, with an online version available.

Key Program Features and Concentrations

Five core courses cover AI foundations, mathematical methods, ethics, machine learning and deep learning, and research methods. You select electives across machine learning, natural language processing, robotics, computer vision, sociotechnical AI analysis and policy, or neuromorphic computing. Your final requirement involves either a capstone project or optional thesis.

What Makes RIT’s AI Program Stand Out

This interdisciplinary model uses faculty expertise across multiple domains. RIT created the nation’s first undergraduate programs in information technology and software engineering in 1986 and continues its curriculum innovation legacy. Optional cooperative education provides paid work experience related to your field of study.

Admission Requirements and Prerequisites

You need a bachelor’s degree with a recommended 3.0 GPA. College-level Python programming and mathematics credits are required. Bridge courses in mathematics or programming address preparation gaps. GRE scores are optional for Fall 2026 applicants, while international students need TOEFL scores of at least 88.

Career Outcomes and Industry Connections

Graduates pursue roles as AI engineers, machine learning specialists, software developers, research associates, AI policy specialists, technology analysts, and computational linguists.

Next Steps

Your choice among these eight AI master’s degree programs in New York depends on your career goals and background. Programs like Columbia’s or Cornell’s detailed computer science tracks work best for technical roles in model development. Business-focused positions line up better with Fordham’s or CUNY’s management-oriented curricula. Each program has distinct advantages, from Columbia’s 11 concentrations to RIT’s interdisciplinary approach.

AI professionals command up to 77% higher salaries and the field creates millions of new roles globally. Your investment in any of these programs positions you well for the future. Review prerequisites and career outcomes before you submit your application.