The Master of Computational Data Science (MCDS) concentrates on applying the scientific method to very large data systems. The degree focuses on scientific experimental design, data collection, data modeling and analysis, problem solving, and human-computer interaction. These problem areas are addressed through a core computer science curriculum consisting of software engineering, machine learning, statistics, large scale distributed systems, storage systems, etc. The degree trains technologists to create new large scale data science systems.
The Master of Science in Artificial Intelligence and Innovation (MSAII) equips you to identify potential artificial intelligence applications, and develop and deploy AI solutions to large practical problems. Students work in teams to implement AI systems that are responsive to market needs.
The Master of Science in Intelligent Information Systems (MIIS) degree focuses on recognizing and extracting meaning from text, spoken language, video, and other forms of unstructured information. It provides deep exposure to content analysis and machine learning.
The Master of Science in Language Technologies is a research-oriented degree in the areas of speech processing, language processing, information retrieval, machine translation and machine learning. Most MLT students are affiliated with an advisor's research project, in which they gain hands-on experience with advanced research and state-of-the-art software. An optional master's thesis project may also be chosen.