The Master of Science in Artificial Intelligence (MSAI) provides a comprehensive framework of theory and practice in the emerging field of AI. The program delivers the foundational knowledge needed to explore both key contextual areas and complex technical applications of AI systems.

The curriculum incorporates elements of data science, robotics, and machine learning—enabling you to pursue a holistic and interdisciplinary course of study while preparing for a position in AI research, operations, software, or hardware development, or a doctoral degree in a sector poised for explosive growth.

A recent survey of IT executives found that while only 4% of organizations have begun to invest and deploy AI initiatives, 46% have plans to do so in the near future. The same survey identifies two challenges in the adoption of artificial intelligence: the availability of skilled and experienced staff, and the lack of IT and business understanding of AI’s potential. All of which means investing in a graduate education in AI today will pay big dividends tomorrow.

The MS in Full Stack Artificial Intelligence and Machine Learning is a full-time 2-year graduate program designed for working professionals from Data Science, Computer Science, or AIML backgrounds. This program is ideal for professionals who are interested in building on their existing skills to become leaders in the field of Artificial Intelligence and Machine Learning.

This program offers students an opportunity to learn a variety of foundational, computational and applied topics in Artificial Intelligence and Machine Learning. The MS in Full Stack Artificial Intelligence and Machine Learning provides students with core knowledge in applied statistics, computational tools, DevOps and MLOps, that can be applied immediately in real-world problems or used as a launching point for more in-depth and expansive knowledge.