Curriculum

36 credits | Master of Science | Full or Part time | On Campus or Online | Evening Classes

In Yeshiva University’s 36-credit MS in Artificial Intelligence you’ll learn by doing, using advanced techniques in AI and machine learning on industry sectors as varied as healthcare, 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 MS 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 MS 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)
  • Data Acquisition and Management
  • Computational Statistics and Probability
  • Numerical Methods
  • Predictive Models
  • Machine Learning
  • Artificial Intelligence
  • Neural Networks and Deep Learning
  • AI Capstone: R&D Experience
Electives (12 credits)
  • Bayesian Methods
  • AI Product Studio
  • Natural Language Processing
  • Data Visualization
  • Advanced Data Engineering
  • Complex Systems: Financial Time Series Analysis
  • Special Topics (1-3 credits)
  • 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.