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M.S. in Artificial Intelligence

Making the World Smarter, Safer and Healthier

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Eligible for

STEM-OPT
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Generous

STEM
Fellows Scholarship
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QS Rankings

#63
University in the U.S.
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Alumni Career Outcomes

95%
employed within 6 months
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In this interdisciplinary master’s degree program, you’ll design and build cutting-edge artificial intelligence technologies for a variety of applications, including finance, biotech, cybersecurity, ad-tech and health care. 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, such as Python, R, SQL/NoSQL, TensorFlow, Keras and pyTorch. And you’ll be doing all of this in the heart of New York City.

The New York metropolitan area has the highest number of AI-related jobs in the country. As a graduate of Yeshiva University’s master’s degree 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, innovative startups and Ph.D. programs. In its Future of Jobs Report 2020, the World Economic Forum ranked AI and machine learning specialists second among the top 20 jobs increasing in demand in all industries. The U.S. Bureau of Labor Statistics reported on the salaries of the following jobs in 2019: AI engineer ($92,000 to $140,000); data mining and analysis ($100,000 to $220,000); machine learning engineer ($146,000); data scientist ($86,000 to $157,000); and business intelligence developer ($84,000 to $104,000).

Program 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
  • Learn the math, concepts, use cases and code behind AI's algorithms
  • Translate AI research into products, services and startups
  • Career support and professional networking opportunities
  • Gain industry experience through internships and research
  • STEM-OPT eligible

Full Program Breakdown

In this interdisciplinary master’s degree program, you’ll design and build cutting-edge artificial intelligence technologies for a variety of applications, including finance, biotech, cybersecurity, ad-tech and health care. 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, such as Python, R, SQL/NoSQL, TensorFlow, Keras and pyTorch. And you’ll be doing all of this in the heart of New York City.

The New York metropolitan area has the highest number of AI-related jobs in the country. As a graduate of Yeshiva University’s master’s degree 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, innovative startups and Ph.D. programs. In its Future of Jobs Report 2020, the World Economic Forum ranked AI and machine learning specialists second among the top 20 jobs increasing in demand in all industries. The U.S. Bureau of Labor Statistics reported on the salaries of the following jobs in 2019: AI engineer ($92,000 to $140,000); data mining and analysis ($100,000 to $220,000); machine learning engineer ($146,000); data scientist ($86,000 to $157,000); and business intelligence developer ($84,000 to $104,000).

Program 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
  • Learn the math, concepts, use cases and code behind AI's algorithms
  • Translate AI research into products, services and startups
  • Career support and professional networking opportunities
  • Gain industry experience through internships and research
  • STEM-OPT eligible

Swipe to learn more!

In this interdisciplinary master’s degree program, you’ll design and build cutting-edge artificial intelligence technologies for a variety of applications, including finance, biotech, cybersecurity, ad-tech and health care. 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, such as Python, R, SQL/NoSQL, TensorFlow, Keras and pyTorch. And you’ll be doing all of this in the heart of New York City.

The New York metropolitan area has the highest number of AI-related jobs in the country. As a graduate of Yeshiva University’s master’s degree 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, innovative startups and Ph.D. programs. In its Future of Jobs Report 2020, the World Economic Forum ranked AI and machine learning specialists second among the top 20 jobs increasing in demand in all industries. The U.S. Bureau of Labor Statistics reported on the salaries of the following jobs in 2019: AI engineer ($92,000 to $140,000); data mining and analysis ($100,000 to $220,000); machine learning engineer ($146,000); data scientist ($86,000 to $157,000); and business intelligence developer ($84,000 to $104,000).

Program 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
  • Learn the math, concepts, use cases and code behind AI's algorithms
  • Translate AI research into products, services and startups
  • Career support and professional networking opportunities
  • Gain industry experience through internships and research
  • STEM-OPT eligible

Research

Work alongside faculty mentors to design and implement specialized research.

Current Projects

  • Financial Impact of Tropical Cyclones on U.S. Real Estate Sector
  • Medical Imaging and Artificial Intelligence
  • Prediction of Total Body Water Volume in Hemodialysis Patients
  • Prediction of Recurrent Complications on Covid-19 Patients
  • Deep Portfolio Theory
  • Portfolio Optimization with Regime Changes
  • Index Tracking Using Reinforcement Learning

AI Fellows

Join students and alumni from over 30 countries to work on pioneering research, citywide initiatives and new technologies that help to make the world smarter, safer and healthier.

Benefits

Learn more about the Fellows Program.

B.A./M.S. Pathways Option

Through the B.A./M.S. option, undergraduates from Yeshiva College, Stern College for Women and the Sy Syms School of Business can take up to 12 graduate credits that will count toward both their bachelor's and master's degrees. After completing their bachelor's, students can finish their graduate degree in just one more year.

  • Admissions criteria: Junior or senior standing in any Yeshiva College, Stern College for Women or Sy Syms School of Business undergraduate major with a minimum GPA of 3.2 and a minimum grade of B-plus in the prerequisite courses listed below. Students can begin taking graduate coursework in their junior or senior year.
  • Prerequisites for graduate courses: Two university courses in a high-level programming language, such as Java, C++ and Python, one course in multivariate calculus, one course in linear algebra, and one course in mathematical probability or statistics, all with a grade of B-plus or better.

For more information, visit www.yu.edu/pathways.  

Internships and STEM-OPT

Our students have gained invaluable industry experience through internships at major companies, such as S&P and Dow Jones, startups and the YU Innovation Lab that counts toward their degree. The Katz School’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). 

Interested in this program? Apply Now! 

At a Glance

36-credit Master of Science

Full-time or part-time

On campus in New York City

Evening courses so that you can work full-time while completing your degree

Leading research and industry faculty

Small classes where you'll work closely with faculty

Helpful Links

Webinars

Join Our Community

Contact Us

Jared Hakimi 
Director of Graduate Admissions
jared.hakimi@yu.edu
646-592-4722
Schedule an Appointment 

Shayna Matzner
Assistant Director of Graduate Admissions
shayna.matzner@yu.edu
646-592-4726
Schedule an Appointment

Xavier Velasquez
Assistant Director of Graduate Admissions
xavier.velasquez@yu.edu
646-592-4737
Schedule an Appointment
 

Knowledge Requirements

Candidates must possess a bachelor’s degree, with a strong mathematical and programming background, from an accredited college or university and the following prerequisite coursework: 

  • At least two university courses using a high-level programming language, such as Java, C++ and Python) 
  • Multivariate Calculus 
  • Linear Algebra 
  • Mathematical Probability and Statistics 

Prerequisites must have been completed in the last three years, with a grade of B+ or better. Equivalent professional experience is acceptable. 

Application Information 

Visit Graduate Admissions for up-to-date application requirements and deadlines. 

Questions? Schedule an appointment with an admissions director if you have questions about your qualifications, financial aid opportunities and financing your graduate degree. We can do a preliminary transcript review and discuss your admissions and financing options with the Katz School. 

Tuition, Financial Aid and Scholarships 

The Office of Student Finance maintains current tuition and fees for all graduate programs.  

All applicants are automatically considered for the STEM Fellows program. You do not need to submit any additional information. 

Learn More

Helpful Links

Webinars

Join Our Community

Contact Us

Jared Hakimi 
Director of Graduate Admissions
jared.hakimi@yu.edu
646-592-4722
Schedule an Appointment 

Shayna Matzner
Assistant Director of Graduate Admissions
shayna.matzner@yu.edu
646-592-4726
Schedule an Appointment

Xavier Velasquez
Assistant Director of Graduate Admissions
xavier.velasquez@yu.edu
646-592-4737
Schedule an Appointment
 

Admissions & Financial Aid

Knowledge Requirements

Candidates must possess a bachelor’s degree, with a strong mathematical and programming background, from an accredited college or university and the following prerequisite coursework: 

  • At least two university courses using a high-level programming language, such as Java, C++ and Python) 
  • Multivariate Calculus 
  • Linear Algebra 
  • Mathematical Probability and Statistics 

Prerequisites must have been completed in the last three years, with a grade of B+ or better. Equivalent professional experience is acceptable. 

Application Information 

Visit Graduate Admissions for up-to-date application requirements and deadlines. 

Questions? Schedule an appointment with an admissions director if you have questions about your qualifications, financial aid opportunities and financing your graduate degree. We can do a preliminary transcript review and discuss your admissions and financing options with the Katz School. 

Tuition, Financial Aid and Scholarships 

The Office of Student Finance maintains current tuition and fees for all graduate programs.  

All applicants are automatically considered for the STEM Fellows program. You do not need to submit any additional information. 

Program News

""

AI Student Receives Prestigious YU Sacks Fellowship

Read more Manish Kumar Thota's work on chatbots

AI Student Receives Prestigious YU Sacks Fellowship

Manish Kumar Thota, a student in the Katz School’s M.S. in Artificial Intelligence, is the recipient of Yeshiva University’s Sacks Impact Graduate Fellowship in Ethics and Entrepreneurship for his proposed work on developing a machine-learning chatbot that can assist with students’ academic work.

Read the story in the Katz School blog.

""

Denoising Method Could Benefit Hearing Impaired

Read more about Dr. Youshan Zhang's research

Denoising Method Could Benefit Hearing Impaired

Imagine someone talking in a video conference while a piece of music is playing in the background. Besides being distracting, the music makes it hard for you to understand the speaker when you’re listening afterward to the recording.

Dr. Youshan Zhang, assistant professor of computer science and artificial intelligence, and Jialu Li of Cornell University have created a novel noise removal method that could benefit the hearing impaired and improve the listening experience for audiophiles everywhere.

Read the entire story on the Katz blog.

""

Book Reveals Social Media's Experimental Methods

Read more about David Sweet's book

Book Reveals Social Media's Experimental Methods

You’re scrolling through your Twitter feed and you see something new. Maybe it’s a section called “For You” that curates content based on your previous activity, or it’s “Views” that tells you how many times your tweets have been viewed. If you asked Katz School AI Instructor David Sweet, who has written a new book called Experimentation for Engineers, he’d say that behind the scenes, Twitter’s systems engineers are testing new features to optimize an objective for improving the app’s user experience, boosting ad placement or generating more revenue.

Read the entire story story in the Katz blog.

""

Student Model Refines Satellite Images for Climate Analysis

Read more about the model

Student Model Refines Satellite Images for Climate Analysis

An interdisciplinary team of Katz School graduate students has built a machine learning model that utilizes satellite images to refine the spatial resolution of climate change forecasts.

Read the story in the Katz blog.

""

Researchers Studying Wearable Technology for Stroke Patients

Read more about this work

Researchers Studying Wearable Technology for Stroke Patients

An interdisciplinary team of Katz School researchers is investigating the potential for wearable devices connected to the internet to facilitate the rehabilitation of stroke patients who have lost mobility in their arms.

Dr. Sai Praveen, a postdoctoral research fellow in the Katz School’s M.S. in Artificial Intelligence program, and Ziyang Guo, a master’s student in the Katz School’s Data Analytics and Visualization program, are creating a model to study how signals from the brain collected through electrodes placed on wearable devices can accurately predict the little movements that healthy people take for granted, like reaching for a toothbrush or trying on new shoes.

Read the entire story in the Katz blog.

Pablo Roldan

Accomplished Researcher Named Director

Read more about Dr. Pablo Roldan

Accomplished Researcher Named Director

Dr. Pablo Roldan, an assistant professor of mathematics and an accomplished researcher in mathematics, statistics and computer science, has been named director of the Katz School’s M.S. in artificial intelligence program. 

“Pablo is tasked with expanding research opportunities in artificial intelligence that complement the extraordinary work already being done by Andy Catlin, Wonjun Lee, Brandon Chiazza, James Topor and Dave Sweet, among others,” said Dr. Paul Russo, dean of the Katz School and vice provost at Yeshiva University. “We look forward to seeing more collaborations across Katz and YU, as well as with other universities and industry.” 

Dr. Roldan concentrates on the research and development of complex and real-world domains and applications. He is an expert in financial mathematics; dynamical systems, which are models describing a system’s temporal evolution; and machine learning, which is the study of computer algorithms that can improve automatically through experience and the use of data. He has received research grants from the National Science Foundation on “Dynamical and Statistical Methods Applied to Hamiltonian Systems;” CONACYT (Consejo Nacional de Ciencia y Technologia), “Particle Dynamics in Spaces of Constant Curvature;” the Spanish Ministry of Science; and the European Regional Development Fund, “Invariant Objects in Astrodynamics.” 

In addition to his work in academia, he has consulted on machine learning for companies that work in medical devices, molecular design and treasury management. Dr. Roldan has been invited as a speaker to more than 20 international conferences. At Yeshiva, he teaches Discrete Structures; Excursions in Mathematics; Mathematical Statistics; Mathematics of Finance; Numerical Methods, Probability and Statistics; and Scientific Computing. He also advises multiple honors and master’s students on their thesis research. 

He holds a Ph.D. in applied mathematics and an M.S. in physics engineering from the KTH Royal Institute of Technology and a B.S. in computer science from the Universitat Politecnica de Catalunya.

""

Featured Course: AI Capstone–R&D Experience

Read more about the AI Capstone experience

Featured Course: 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 that you are deeply curious about, tackle problems that matter to you most—and deliver tangible results. 

Capstone projects can take the form of research, development or an 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 organizational needs in a top company or startup. 

Check out the AI curriculum

""

AI Student Receives Prestigious YU Sacks Fellowship

Read more Manish Kumar Thota's work on chatbots

AI Student Receives Prestigious YU Sacks Fellowship

Manish Kumar Thota, a student in the Katz School’s M.S. in Artificial Intelligence, is the recipient of Yeshiva University’s Sacks Impact Graduate Fellowship in Ethics and Entrepreneurship for his proposed work on developing a machine-learning chatbot that can assist with students’ academic work.

Read the story in the Katz School blog.

""

Denoising Method Could Benefit Hearing Impaired

Read more about Dr. Youshan Zhang's research

Denoising Method Could Benefit Hearing Impaired

Imagine someone talking in a video conference while a piece of music is playing in the background. Besides being distracting, the music makes it hard for you to understand the speaker when you’re listening afterward to the recording.

Dr. Youshan Zhang, assistant professor of computer science and artificial intelligence, and Jialu Li of Cornell University have created a novel noise removal method that could benefit the hearing impaired and improve the listening experience for audiophiles everywhere.

Read the entire story on the Katz blog.

""

Book Reveals Social Media's Experimental Methods

Read more about David Sweet's book

Book Reveals Social Media's Experimental Methods

You’re scrolling through your Twitter feed and you see something new. Maybe it’s a section called “For You” that curates content based on your previous activity, or it’s “Views” that tells you how many times your tweets have been viewed. If you asked Katz School AI Instructor David Sweet, who has written a new book called Experimentation for Engineers, he’d say that behind the scenes, Twitter’s systems engineers are testing new features to optimize an objective for improving the app’s user experience, boosting ad placement or generating more revenue.

Read the entire story story in the Katz blog.

""

Student Model Refines Satellite Images for Climate Analysis

Read more about the model

Student Model Refines Satellite Images for Climate Analysis

An interdisciplinary team of Katz School graduate students has built a machine learning model that utilizes satellite images to refine the spatial resolution of climate change forecasts.

Read the story in the Katz blog.

""

Researchers Studying Wearable Technology for Stroke Patients

Read more about this work

Researchers Studying Wearable Technology for Stroke Patients

An interdisciplinary team of Katz School researchers is investigating the potential for wearable devices connected to the internet to facilitate the rehabilitation of stroke patients who have lost mobility in their arms.

Dr. Sai Praveen, a postdoctoral research fellow in the Katz School’s M.S. in Artificial Intelligence program, and Ziyang Guo, a master’s student in the Katz School’s Data Analytics and Visualization program, are creating a model to study how signals from the brain collected through electrodes placed on wearable devices can accurately predict the little movements that healthy people take for granted, like reaching for a toothbrush or trying on new shoes.

Read the entire story in the Katz blog.

Pablo Roldan

Accomplished Researcher Named Director

Read more about Dr. Pablo Roldan

Accomplished Researcher Named Director

Dr. Pablo Roldan, an assistant professor of mathematics and an accomplished researcher in mathematics, statistics and computer science, has been named director of the Katz School’s M.S. in artificial intelligence program. 

“Pablo is tasked with expanding research opportunities in artificial intelligence that complement the extraordinary work already being done by Andy Catlin, Wonjun Lee, Brandon Chiazza, James Topor and Dave Sweet, among others,” said Dr. Paul Russo, dean of the Katz School and vice provost at Yeshiva University. “We look forward to seeing more collaborations across Katz and YU, as well as with other universities and industry.” 

Dr. Roldan concentrates on the research and development of complex and real-world domains and applications. He is an expert in financial mathematics; dynamical systems, which are models describing a system’s temporal evolution; and machine learning, which is the study of computer algorithms that can improve automatically through experience and the use of data. He has received research grants from the National Science Foundation on “Dynamical and Statistical Methods Applied to Hamiltonian Systems;” CONACYT (Consejo Nacional de Ciencia y Technologia), “Particle Dynamics in Spaces of Constant Curvature;” the Spanish Ministry of Science; and the European Regional Development Fund, “Invariant Objects in Astrodynamics.” 

In addition to his work in academia, he has consulted on machine learning for companies that work in medical devices, molecular design and treasury management. Dr. Roldan has been invited as a speaker to more than 20 international conferences. At Yeshiva, he teaches Discrete Structures; Excursions in Mathematics; Mathematical Statistics; Mathematics of Finance; Numerical Methods, Probability and Statistics; and Scientific Computing. He also advises multiple honors and master’s students on their thesis research. 

He holds a Ph.D. in applied mathematics and an M.S. in physics engineering from the KTH Royal Institute of Technology and a B.S. in computer science from the Universitat Politecnica de Catalunya.

""

Featured Course: AI Capstone–R&D Experience

Read more about the AI Capstone experience

Featured Course: 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 that you are deeply curious about, tackle problems that matter to you most—and deliver tangible results. 

Capstone projects can take the form of research, development or an 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 organizational needs in a top company or startup. 

Check out the AI curriculum

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