MS in Artificial Intelligence

General

Program Description

In this interdisciplinary STEM-approved master’s degree, you’ll design and build cutting edge AI technologies for a variety of applications like finance, biotech and medicine, cybersecurity, adtech, law, and sustainability. Working with top faculty 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, Pytorch, H2O, Google ML Kit, SQL/NoSQL, TensorFlow. And you’ll be doing all of this in the heart of New York City, which is one of three global epicenters of the artificial intelligence industry.

Artificial intelligence will create $13 trillion of GDP growth by 2030 and disrupt nearly all industries. LinkedIn reports a 56% increase in 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 will also be ready to apply to Ph.D. programs.

Highlights

  • 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.

AI Capstone: R&D Experience

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.

Internships and STEM Optional Practical Training (OPT)

You can gain more industry experience in major companies, startups, and YU’s Innovation Lab by signing up for 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 OPT. The program also offers several opportunities for Curricular Practical Training (CPT).

AI in New York City

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 indeed.com, 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 Indeed.com about current openings in artificial intelligence and machine learning in research and development groups, product design labs, and very cool startups.

Curriculum

In Yeshiva University’s MS in Artificial Intelligence you’ll learn by doing, using advanced techniques in AI and machine learning on industry sectors as varied as healthcare, biotech, finance, social media, marketing, cybersecurity and more. In class and in the studio, you’ll build AI applications, experiment with tools, and work with faculty on important research—in teams and individually. You can choose to work in the Innovation Lab or an emerging New York City company to create an AI startup.

Full-time students should plan to study for a minimum of five or six full-time semesters. A part-time option is also available on-campus or online for working professionals. Classes are in the evening so that they don’t interfere with work. Internships can be paid or unpaid, depending on the company. The full-time on-campus program qualifies for STEM OPT.

Requirements

You must complete 12 courses, with no course grade lower than a B and maintaining an overall 3.2 GPA. Any course grade lower than a B must be retaken. Three or more course grades lower than a B can result in dismissal from the program.

Core (Take all 8 courses)

  1. Data Acquisition and Management
  2. Computational Statistics and Probability
  3. Numerical Methods
  4. Predictive Models
  5. Machine Learning
  6. Artificial Intelligence
  7. Neural Networks and Deep Learning
  8. AI Capstone: R&D Experience

Electives (Pick 4 courses)

  • Bayesian Methods
  • AI Product Studio
  • Natural Language Processing
  • Data Visualization
  • Advanced-Data Engineering
  • Complex Systems: Financial Time Series Analysis
  • Special Topics, Independent Study, and Internships in AI and Machine Learning

Note: Electives for each year will vary based on the cohort’s interest, therefore, some choices will not be available for a particular group. Summers include one live-online course and are primarily used for internships, studio, research, and special topics.

Example Full-time Schedule

You will generally take three courses per semester and can complete the program in five semesters. Actual schedules may vary for a particular cohort.

Fall I (3 courses) Spring I (3 courses) Summer (1 course, optional experience) Fall 2 (3 courses) Spring 2 (1 or 2 courses depending on summer choice)
Data Acquisition and Management Predictive Models Neural Networks and Deep Learning Natural Language Processing Data Visualization
Computational Statistics and Probability Machine Learning Internship Product Studio Research Bayesian Methods AI Capstone: R&D Experience
Numerical Methods Artificial Intelligence Product Studio
Last updated Feb 2020

About the School

The Katz School at Yeshiva University gives students the opportunity to further their intellectual and professional pursuits and become a part of one of U.S. News and World Report’s top 80 universitie ... Read More

The Katz School at Yeshiva University gives students the opportunity to further their intellectual and professional pursuits and become a part of one of U.S. News and World Report’s top 80 universities in the United States. Read less