M.S. in Computer Science — Agile
Making the World Smarter, Safer and Healthier
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
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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.
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Admissions and Financial Aid
Graduate Admissions
General Inquiries
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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? 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.
Graduate Admissions
General Inquiries
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? 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.
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.
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.
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 Yeshiva University Museum in New York City.
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.
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.
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.
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.
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.
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.
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 Yeshiva University Museum in New York City.
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.
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.
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.
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.
