Artificial Intelligence, MS

Overview

The Master of Science in Artificial Intelligence at Yeshiva University is an interdisciplinary program designed to equip students with the technical expertise and applied skills needed to lead in the rapidly evolving field of AI. Located in New York City, one of the world’s premier technology and innovation hubs, this program offers students the opportunity to work closely with leading researchers and industry professionals. The curriculum integrates advanced machine learning techniques, including supervised and unsupervised learning, deep learning, neural networks, and reinforcement learning, with core engineering practices such as problem framing, requirements analysis, UI/UX design, and software development. Students gain hands-on experience working with structured and unstructured data using industry-standard tools such as Python, R, SQL/NoSQL, TensorFlow, and Google ML Kit.

Artificial intelligence is reshaping industries and redefining the future of work, with applications ranging from autonomous systems and intelligent healthcare to financial modeling and legal analytics. As demand for AI professionals continues to grow, graduates of this program will be well-positioned for careers in research and development, product innovation, and technology leadership. Whether pursuing roles in established companies, research institutions, or entrepreneurial ventures, students will graduate with the knowledge, experience, and strategic insight to drive innovation and make meaningful contributions to the field of artificial intelligence.

Requirements (36 credits)

AIM 5000Artificial Intelligence

3

AIM 5001Data Acquisition and Management

3

AIM 5002Computational Statistics and Probability

3

AIM 5003Numerical Methods

3

AIM 5004Predictive Models

3

AIM 5005Machine Learning

3

AIM 5007Neural Networks and Deep Learning

3

AIM 5008Capstone for Artificial Intelligence and Machine Learning

3

AIM 5009Bayesian Methods

3

AIM 5010Product Studio

3

AIM 5011Natural Language Processing

3

AIM 5014Topics

1 TO 3