長島大學(xué)-C.W.Post

To prepare the workforce of the future, the 30- credit M.S. in Artificial Intelligence (AI) aims to educate and train skilled leaders to create AI applications and AI systems that are designed to solve complex real-world challenges and problems across many industry domains. The purpose of the program is to achieve this latter goal while addressing the emerging needs of the market. Additionally, the new program, with its faculty and students, aims to accelerate multidisciplinary research and discovery in LIU emerging signature areas: health, pharmaceutics, pharmacological engineering, bioinformatics, and business among others. The program will create new opportunities for research and economic development. It is a pathway for masters students to pursue exciting career opportunities in the most innovative companies in the NY region and the globe across all industry sectors and/or Ph.D. research in Computer Science and related fields.

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.