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Artificial Intelligence for a smarter, safer, and healthier world

Artificial Intelligence

36 credits | Master of Science | Full or Part time | On Campus or Online | Evening Classes  

On-Campus and Online. Learn More.

Artificial intelligence will create $13 trillion in GDP growth by 2030 and will disrupt nearly all industries. LinkedIn reports a 56% increase in AI-related job openings this year with a median salary of $130,000. As a graduate of Yeshiva University’s master’s in Artificial Intelligence, you’ll be prepared for a variety of artificial intelligence and machine learning jobs in research and development groups, product design labs, and innovative startups. You'll also be ready to apply to PhD programs.

In this interdisciplinary master’s degree, you’ll design and build cutting edge AI technologies for a variety of applications like finance, biotech, cybersecurity, adtech, and law. Working with top researchers and accomplished industry experts, you’ll bridge AI and machine learning models such as supervised and unsupervised learning, deep learning and neural networks, and reinforcement learning with engineering best practices including problem framing, requirements gathering, UI/UX, and software development. In addition, you’ll gain hands-on experience with structured and unstructured data using the latest tools like Python, R, Google ML Kit, SQL/NoSQL, and TensorFlow. And you’ll be doing all of this in the heart of New York City—one of three global epicenters of the artificial intelligence industry.


  • Develop a grounding in artificial intelligence theory, research, technologies, and ethical standards.
  • Design and build AI applications in natural language processing, image recognition and computer vision, chatbots, search and optimization, autonomous action, sentiment and emotion analysis, assistive agents, and more.
  • Translate AI research into products, services, and startups.

NYC is in a period of explosive growth in artificial intelligence and machine learning. With Silicon Valley as the AI capital on the West Coast, NYC dominates the eastern US. According to research compiled by Bloomberg, for artificial intelligence and machine learning jobs, NYC is outpacing San Francisco with 11.6% of job postings on, compared to San Francisco’s 9.6%.


New York is also home to more than 7,000 startups, hundreds of which are standouts in the field of AI / ML. If you’re looking for a job in the artificial intelligence space, New York is the perfect spot. Read more on about current openings in artificial intelligence and machine learning in research and development groups, product design labs, and very cool startups.

Gain industry experience in major companies, startups, and YU’s Innovation Lab through internships that count towards your degree. Read more on the curriculum page or speak with an advisor.

Yeshiva University’s master’s in Artificial Intelligence is a STEM-approved degree. International students may be eligible for up to 36 months of Optional Practical Training (OPT). The program also offers several opportunities for Curricular Practical Training (CPT).

In this culminating requirement, you’ll work alongside AI faculty to design and implement a specialized project. It’s your opportunity to explore questions you are deeply curious about, to tackle problems that matter to you most — and to deliver tangible results.

Capstone projects can take the form of research, development, or internship:

  1. Research — conduct impactful research with guidance from senior faculty mentors, and complete your thesis.
  2. Development — build and deploy a new model or proof of concept technology.
  3. Internship —  spend a year working alongside AI professionals to address real-time organizational needs in a top company or startup.

  • Evening courses, so you can work full-time while completing your degree.
  • Top-notch research and industry faculty.
  • Career support and professional networking opportunities.
  • Small classes where you’ll get to know everyone by name.
  • Opportunities to gain industry experience through internships and fieldwork.