M.S. in Artificial Intelligence Curriculum 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 OverviewIn Yeshiva University’s 36-credit M.S. in Artificial Intelligence, you’ll learn by doing, using advanced techniques in AI and machine learning on industry sectors as varied as health care, 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. As part of the coursework, you'll complete an industry-oriented final project, and you'll be encouraged to gain hands-on experience by working in real companies through internships and independent study. The M.S. can be completed full time in just 21 months or part time at a pace that makes sense for you. View a typical course sequence for full-time students. Part-time students select 1-2 courses per semester in consultation with their program director. Review degree requirements below, and download course descriptions here. Degree Requirements To earn the M.S. in Artificial Intelligence, you must complete 24 credits of required foundational courses, including a capstone project, as well as 12 credits of elective courses, which may include an internship. Courses are 3 credits, unless otherwise noted. Core Requirements (24 credits) AIM 5001 Data Acquisition and Management AIM 5002 Computational Statistics and Probability AIM 5003 Numerical Methods AIM 5004 Predictive Models AIM 5005 Machine Learning AIM 5000 Artificial Intelligence AIM 5007 Neural Networks and Deep Learning AIM 5008 AI Capstone: R&D Experience Electives (12 credits) AIM 5009 Bayesian Methods AIM 5010 AI Product Studio AIM 5011 Natural Language Processing AIM 5012 Data Visualization AIM 5013 Advanced Data Engineering Complex Systems: Financial Time Series Analysis AIM 5012 Special Topics (1-3 credits) AIM 5999 Independent Study (1-3 credits) Internship (1-3 credits)* Note: Electives offerings will vary each semester. Therefore, some choices will not be available for a particular cohort. Summers include one live-online course and are primarily used for internships, studio, research and special topics. *Internship can be taken as an elective beginning in the summer semester.
