M.S. in Artificial Intelligence Making the World Smarter, Safer and Healthier Request More Info Apply Now Attend an Info Session Contact Us Artificial Intelligence Biotechnology Computer Science Cybersecurity Data Analytics and Visualization Digital Marketing and Media Mathematics Occupational Therapy Physician Assistant Physics Speech-Language Pathology Eligible for STEM-OPT Affordable Fixed-Rate Tuition $30K After STEM Fellows Scholarship QS Rankings #63 University in the U.S. Alumni Career Outcomes 95% employed within 6 months M.S. in Artificial Intelligence 12 Courses I On-Campus in New York City I Full-Time or Part-Time In this 36-credit, interdisciplinary master’s degree, 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 M.S. in Artificial Intelligence 12 Courses I On-Campus in New York City I Full-Time or Part-Time In this 36-credit, interdisciplinary master’s degree, 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! M.S. in Artificial Intelligence 12 Courses I On-Campus in New York City I Full-Time or Part-Time In this 36-credit, interdisciplinary master’s degree, 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 Receive industry mentorship Showcase and publish your research at the Katz School's annual Symposium on Science, Technology and Health Receive a generous tuition scholarship 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! Apply Now Program Links Curriculum Faculty Research Student Life Admissions Mission and Goals Contact Us Admissions & Financial Aid Graduate Admissions katzgrad@yu.edu 646-592-4753 General Inquiries katz@yu.edu Join our Community LinkedIn Instagram YouTube Facebook 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. Contact Us Graduate Admissions katzgrad@yu.edu 646-592-4753 General Inquiries katz@yu.edu Join our Community LinkedIn Instagram YouTube Facebook 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 Introducing Algorithm for Drug Interactions Read more Introducing Algorithm for Drug Interactions A team of researchers presented two significant advancements in data science, particularly in the application of deep learning and federated learning to medical research, at the 2024 Joint Statistical Meetings conference in Portland, Ore., in August.Read the story in the Katz School blog. NSF Grant for Cyber Research in Mobile Health Read more about Dr. Honggang Wang's project NSF Grant for Cyber Research in Mobile Health Dr. Honggang Wang's project aims to bridge a significant gap in cybersecurity education and research specific to mHealth, a field at the intersection of healthcare and information technology.Read the entire story in the Katz School blog. AI Technology Used to Analyze Mammograms Read more about the app AI Technology Used to Analyze Mammograms Katz School researchers have designed a mobile app using AI technology that analyzes mammogram images and provides real-time diagnostic predictions, all from the convenience of a smartphone. Read the story in the Katz School blog. Researchers Develop Algorithms to Assist in Stroke Recovery Read about the study Researchers Develop Algorithms to Assist in Stroke Recovery Researchers have developed a series of algorithms using Siamese networks, a type of artificial intelligence, to better identify and track the body movements of stroke patients in order to assist in patient treatment and recovery. Read about the story in the Katz School blog. Researchers Use AI to Produce Clean Bird Calls Read more about Sahil Kumar's research Researchers Use AI to Produce Clean Bird Calls Researchers have developed a method using a powerful technology to remove unwanted noise from the audio recordings of bird sounds. The method, called ViTVS, uses an image processing technology to divide audio signals into distinct parts, or segments, for isolating clean bird sounds from a noisy background.Read the story here. NIH Grant Funds Research on Dietary Patterns Read more about Honggang Wang's research NIH Grant Funds Research on Dietary Patterns Dr. Honggang Wang, chair of the Department of Computer Science and Engineering, received a $600,000 grant to create an artificial intelligence platform that would recognize patterns in longitudinal dietary data.Read the story in the Katz School blog. A Chatbot as Smart as Your Favorite Professor Read more about Manish Thota's research A Chatbot as Smart as Your Favorite Professor Manish Kumar Thota, who is pursuing a master’s degree in artificial intelligence, is developing a machine-learning chatbot that can assist students academically. His VQA model, which he refers to as a digital brain, understands both images and questions and responds the way your most knowledgeable professor would.Read the entire story in the Katz blog. AI Student Receives Prestigious YU Sacks Fellowship Read more about Manish Thota's work on AI chatbots AI Student Receives Prestigious YU Sacks Fellowship Manish Kumar Thota is the recipient of Yeshiva University’s Sacks Impact Graduate Fellowship in Ethics and Entrepreneurship for his proposed work on developing an AI chatbot that utilizes advanced computer vision and natural language processing to 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.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 David Sweet, who has written a new book called Experimentation for Engineers, says social media engineers are working behind the scenes to test new features to optimize an objective for improving their apps' 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.Read the entire story in the Katz blog. 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: Research—conduct impactful research with guidance from senior faculty mentors and complete your thesis. Development—build and deploy a new model or proof of concept technology. Internship—spend a year working alongside AI professionals to address organizational needs in a top company or startup. Check out the AI curriculum Introducing Algorithm for Drug Interactions Read more Introducing Algorithm for Drug Interactions A team of researchers presented two significant advancements in data science, particularly in the application of deep learning and federated learning to medical research, at the 2024 Joint Statistical Meetings conference in Portland, Ore., in August.Read the story in the Katz School blog. NSF Grant for Cyber Research in Mobile Health Read more about Dr. Honggang Wang's project NSF Grant for Cyber Research in Mobile Health Dr. Honggang Wang's project aims to bridge a significant gap in cybersecurity education and research specific to mHealth, a field at the intersection of healthcare and information technology.Read the entire story in the Katz School blog. AI Technology Used to Analyze Mammograms Read more about the app AI Technology Used to Analyze Mammograms Katz School researchers have designed a mobile app using AI technology that analyzes mammogram images and provides real-time diagnostic predictions, all from the convenience of a smartphone. Read the story in the Katz School blog. Researchers Develop Algorithms to Assist in Stroke Recovery Read about the study Researchers Develop Algorithms to Assist in Stroke Recovery Researchers have developed a series of algorithms using Siamese networks, a type of artificial intelligence, to better identify and track the body movements of stroke patients in order to assist in patient treatment and recovery. Read about the story in the Katz School blog. Researchers Use AI to Produce Clean Bird Calls Read more about Sahil Kumar's research Researchers Use AI to Produce Clean Bird Calls Researchers have developed a method using a powerful technology to remove unwanted noise from the audio recordings of bird sounds. The method, called ViTVS, uses an image processing technology to divide audio signals into distinct parts, or segments, for isolating clean bird sounds from a noisy background.Read the story here. NIH Grant Funds Research on Dietary Patterns Read more about Honggang Wang's research NIH Grant Funds Research on Dietary Patterns Dr. Honggang Wang, chair of the Department of Computer Science and Engineering, received a $600,000 grant to create an artificial intelligence platform that would recognize patterns in longitudinal dietary data.Read the story in the Katz School blog. A Chatbot as Smart as Your Favorite Professor Read more about Manish Thota's research A Chatbot as Smart as Your Favorite Professor Manish Kumar Thota, who is pursuing a master’s degree in artificial intelligence, is developing a machine-learning chatbot that can assist students academically. His VQA model, which he refers to as a digital brain, understands both images and questions and responds the way your most knowledgeable professor would.Read the entire story in the Katz blog. AI Student Receives Prestigious YU Sacks Fellowship Read more about Manish Thota's work on AI chatbots AI Student Receives Prestigious YU Sacks Fellowship Manish Kumar Thota is the recipient of Yeshiva University’s Sacks Impact Graduate Fellowship in Ethics and Entrepreneurship for his proposed work on developing an AI chatbot that utilizes advanced computer vision and natural language processing to 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.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 David Sweet, who has written a new book called Experimentation for Engineers, says social media engineers are working behind the scenes to test new features to optimize an objective for improving their apps' 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.Read the entire story in the Katz blog. 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: Research—conduct impactful research with guidance from senior faculty mentors and complete your thesis. Development—build and deploy a new model or proof of concept technology. Internship—spend a year working alongside AI professionals to address organizational needs in a top company or startup. Check out the AI curriculum
