M.S. in Computer Science — Agile Making the World Smarter, Safer and Healthier Request Info 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 Where great computer scientists get their start. Launch your computer science career with a research-driven master's degree — undergraduate computer science degree not required. M.S. in Computer Science — Agile 15 Courses I On-Campus in New York City I Full-Time (2 Years) or Part-Time The Agile master's in computer science (M.S. in CS) is for students from various backgrounds who want to transition into an impactful career in computer science and related tech fields – no undergraduate computer science degree required. In two years, master the fundamentals of computing theory, systems and applications and the advanced knowledge to work on computer systems, software design and application development. Learn to take a structured approach to designing and developing computer systems and solutions, including mobile applications, cloud computing, augmented reality, and intelligent applications. Work with traditional computing theory and algorithms, as well as algorithms that benefit from vast amounts of data. And develop the skills to lead new projects and technologies. The Agile M.S. opens doors to competitive jobs in R&D and fast-growing specializations like AI, cybersecurity, networking, and software development. Have a computer science background? Check out our M.S. in Computer Science. Highlights Nationally recognized faculty with deep expertise in smart health and wearable tech, autonomous vehicles, 5G/6G communications, cybersecurity and finance. State-of-the-art computing facilities, including a high performance GPU-based server from MIT Cambridge Research, a fully equipped advanced IoT lab and NYC’s first university-based Security Operations Center. 95% graduate employment rate within six months of graduation: our alumni land dream jobs in computer and information research, software engineering, computer networking, and computer systems with top companies like S&P, Dow Jones, Google, IBM, Deloitte, Goldman Sachs, and Microsoft. Top-ranked university in the heart of NYC: #63 in the U.S. by QS World and #1 Best Value in New York by U.S. News. STEM-OPT eligible: International students may be eligible for up to 3 years of Optional Practical Training (OPT). $45K total tuition after STEM Fellows Scholarship, plus the opportunity to showcase research at the Katz School's Symposium on Science, Technology and Health. Full Program Breakdown M.S. in Computer Science — Agile 15 Courses I On-Campus in New York City I Full-Time (2 Years) or Part-Time The Agile master's in computer science (M.S. in CS) is for students from various backgrounds who want to transition into an impactful career in computer science and related tech fields – no undergraduate computer science degree required. In two years, master the fundamentals of computing theory, systems and applications and the advanced knowledge to work on computer systems, software design and application development. Learn to take a structured approach to designing and developing computer systems and solutions, including mobile applications, cloud computing, augmented reality, and intelligent applications. Work with traditional computing theory and algorithms, as well as algorithms that benefit from vast amounts of data. And develop the skills to lead new projects and technologies. The Agile M.S. opens doors to competitive jobs in R&D and fast-growing specializations like AI, cybersecurity, networking, and software development. Have a computer science background? Check out our M.S. in Computer Science. Highlights Nationally recognized faculty with deep expertise in smart health and wearable tech, autonomous vehicles, 5G/6G communications, cybersecurity and finance. State-of-the-art computing facilities, including a high performance GPU-based server from MIT Cambridge Research, a fully equipped advanced IoT lab and NYC’s first university-based Security Operations Center. 95% graduate employment rate within six months of graduation: our alumni land dream jobs in computer and information research, software engineering, computer networking, and computer systems with top companies like S&P, Dow Jones, Google, IBM, Deloitte, Goldman Sachs, and Microsoft. Top-ranked university in the heart of NYC: #63 in the U.S. by QS World and #1 Best Value in New York by U.S. News. STEM-OPT eligible: International students may be eligible for up to 3 years of Optional Practical Training (OPT). $45K total tuition after STEM Fellows Scholarship, plus the opportunity to showcase research at the Katz School's Symposium on Science, Technology and Health. Swipe to learn more! M.S. in Computer Science — Agile 15 Courses I On-Campus in New York City I Full-Time (2 Years) or Part-Time The Agile master's in computer science (M.S. in CS) is for students from various backgrounds who want to transition into an impactful career in computer science and related tech fields – no undergraduate computer science degree required. In two years, master the fundamentals of computing theory, systems and applications and the advanced knowledge to work on computer systems, software design and application development. Learn to take a structured approach to designing and developing computer systems and solutions, including mobile applications, cloud computing, augmented reality, and intelligent applications. Work with traditional computing theory and algorithms, as well as algorithms that benefit from vast amounts of data. And develop the skills to lead new projects and technologies. The Agile M.S. opens doors to competitive jobs in R&D and fast-growing specializations like AI, cybersecurity, networking, and software development. Have a computer science background? Check out our M.S. in Computer Science. Nationally recognized faculty with deep expertise in smart health and wearable tech, autonomous vehicles, 5G/6G communications, cybersecurity and finance. State-of-the-art computing facilities, including a high performance GPU-based server from MIT Cambridge Research, a fully equipped advanced IoT lab and NYC’s first university-based Security Operations Center. 95% graduate employment rate within six months of graduation: our alumni land dream jobs in computer and information research, software engineering, computer networking, and computer systems with top companies like S&P, Dow Jones, Google, IBM, Deloitte, Goldman Sachs, and Microsoft. Top-ranked university in the heart of NYC: #63 in the U.S. by QS World and #1 Best Value in New York by U.S. News. STEM-OPT eligible: International students may be eligible for up to 3 years of Optional Practical Training (OPT). $45K total tuition after STEM Fellows Scholarship, plus the opportunity to showcase research at the Katz School's Symposium on Science, Technology and Health. VIEW CURRICULUM Program Links Curriculum Faculty Research Student Life Admissions Contact Us Admissions and Financial Aid Graduate Admissions katzgrad@yu.edu 646-592-4753 General Inquiries katz@yu.edu Join our Community Knowledge Requirements The Agile M.S. in Computer Science is for students from a range of backgrounds – undergraduate degree in computer science not required. Candidates must possess a bachelor's degree in any STEM-related major from an accredited college or university, with a minimum GPA of 3.3 and the following prerequisite coursework: Algebra Statistics Calculus and programming recommended Prerequisites must have been completed in the last three years, with a grade of B+ or better. Students from other majors like business, psychology and finance may be considered on a case-by-case basis. Application Information Visit Graduate Admissions for up-to-date application requirements and deadlines. Questions? 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 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 Admissions and Financial Aid Knowledge Requirements The Agile M.S. in Computer Science is for students from a range of backgrounds – undergraduate degree in computer science not required. Candidates must possess a bachelor's degree in any STEM-related major from an accredited college or university, with a minimum GPA of 3.3 and the following prerequisite coursework: Algebra Statistics Calculus and programming recommended Prerequisites must have been completed in the last three years, with a grade of B+ or better. Students from other majors like business, psychology and finance may be considered on a case-by-case basis. Application Information Visit Graduate Admissions for up-to-date application requirements and deadlines. Questions? 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 program. You do not need to submit any additional information. Meet the Faculty Deploying deep neural networks and computer vision for self-driving technologies. — Dr. Youshan Zhang, Assistant Professor of AI and Computer Science Program News Innovation on Display in Computer Science Forum Read about student research on AI, Cyber & Data Analytics Innovation on Display in Computer Science Forum The Department of Graduate Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.Read the story in the Katz School blog. Using AI to Diagnose Heart Disease in Pets Read more about Youshan Zhang's NSF grant Using AI to Diagnose Heart Disease in Pets Dr. Youshan Zhang, an assistant professor of artificial intelligence and computer science, has been awarded a $175,000 grant from the National Science Foundation for research aimed at improving cardiomegaly diagnosis in animals by the development of an innovative, AI-driven diagnostic tool.Read the story in the Katz School blog. Digital Data Processing Focus of IEEE Conference Read more about the conference Digital Data Processing Focus of IEEE Conference A vibrant community of researchers and industry professionals explored cutting-edge developments in digital data processing technologies at the IEEE 4th International Conference on Digital Data Processing, hosted by the Katz School of Science and Health at the Museum in New York City.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. NIH Grant Funds Research on Dietary Patterns Read more about the 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. AI Wearable Device to Monitor Drug Use Read more about the research AI Wearable Device to Monitor Drug Use A Katz School researcher and several colleagues are developing an AI-powered wearable device that can monitor illicit drug use in individuals with substance use disorder.Read the full story AI Model Makes Self-Driving Cars Safer Read more about the research AI Model Makes Self-Driving Cars Safer Katz School researchers received the Emerging Research Award at the Future Technologies Conference for their work on a machine learning algorithm that could reduce the number of traffic accidents involving self-driving cars.Read the full story Denoising Method Could Benefit Hearing Impaired Read more about the research Denoising Method Could Benefit Hearing Impaired 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 full story Innovation on Display in Computer Science Forum Read about student research on AI, Cyber & Data Analytics Innovation on Display in Computer Science Forum The Department of Graduate Computer Science and Engineering recently hosted a dynamic presentation of graduate student research, showcasing innovative capstone projects, independent studies and other research initiatives in Artificial Intelligence, Computer Science, Cybersecurity and Data Analytics and Visualization.Read the story in the Katz School blog. Using AI to Diagnose Heart Disease in Pets Read more about Youshan Zhang's NSF grant Using AI to Diagnose Heart Disease in Pets Dr. Youshan Zhang, an assistant professor of artificial intelligence and computer science, has been awarded a $175,000 grant from the National Science Foundation for research aimed at improving cardiomegaly diagnosis in animals by the development of an innovative, AI-driven diagnostic tool.Read the story in the Katz School blog. Digital Data Processing Focus of IEEE Conference Read more about the conference Digital Data Processing Focus of IEEE Conference A vibrant community of researchers and industry professionals explored cutting-edge developments in digital data processing technologies at the IEEE 4th International Conference on Digital Data Processing, hosted by the Katz School of Science and Health at the Museum in New York City.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. NIH Grant Funds Research on Dietary Patterns Read more about the 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. AI Wearable Device to Monitor Drug Use Read more about the research AI Wearable Device to Monitor Drug Use A Katz School researcher and several colleagues are developing an AI-powered wearable device that can monitor illicit drug use in individuals with substance use disorder.Read the full story AI Model Makes Self-Driving Cars Safer Read more about the research AI Model Makes Self-Driving Cars Safer Katz School researchers received the Emerging Research Award at the Future Technologies Conference for their work on a machine learning algorithm that could reduce the number of traffic accidents involving self-driving cars.Read the full story Denoising Method Could Benefit Hearing Impaired Read more about the research Denoising Method Could Benefit Hearing Impaired 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 full story
