The M.S. in AI program offers a holistic view and a multidisciplinary in-depth study of AI theory and practice. New courses include: Programming in Python, Data Structures and Algorithms, Statistical Learning, Modern Artificial Intelligence (Present and Future), Machine Learning and Pattern Recognition, Data Mining and Exploration, Deep Learning, Artificial Intelligence and Machine Learning in Bioinformatics, Automatic Speech Recognition, Image and Vision Computing, and Computational Neuroscience and Cognition and Intelligent Autonomous Robots. In addition, the program includes two Special Topics courses for timely introduction of cutting edge advanced topics in Artificial Intelligence, including research topics. The program offers two options: a course only option and a thesis option for six credits over two semesters. The one-year thesis sequence should demonstrate the students’ learning in the program and contributions ranging from practical developments of AI components or systems to theoretical contributions, culminating in a thesis document.
Enrollment Cycles
- September 2024