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The Master of Science degree in Artificial Intelligence program is designed to train and equip graduate students in core AI concepts that will fortify their career prospects in AI or related fields. The program comprises three concentrations: 1) Analytics, 2) Computer Science, and 3) Intelligent and Autonomous Systems, that provide a broad spectrum of courses for graduate students to specialize in sub-areas within AI field. Through these concentrations, the program trains graduate students in the design, development, use, and deployment of AI technologies. Curated AI courses provide the students with a repertoire of AI skills and tools for effectively solving problems in a specific domain and extend the knowledge to advance their own respective disciplines. The program also offers a multidisciplinary environment that supports industry-readiness in innovative AI sub-fields. A thesis option is offered for students who want the opportunity to obtain expertise in research and who may be interested in pursuing a doctoral degree in AI related fields. A non-thesis option is available for students who prefer a practical applications-oriented degree.
This degree is coordinated by three departments. Each concentration is handled by their corresponding department listed below.
The ECE department and its faculty provide financial support and funding opportunities for their graduate students (Master’s and Ph.D.) in various forms. Funding is available in three forms: (A) Graduate Research Assistantships (GRA), (B) Graduate Teaching Assistantships (GTA), and (C) Fellowships and Scholarships.
Our graduate courses are offered mostly in afternoon and evening. About half of courses are taught in the afternoon (2 p.m.– 5 p.m.) and another half in the evening 5 p.m.– 8:15 p.m.).
After graduation, our MS and PhD graduates are employed as engineers or researcher in research firms and industries. Some of our former doctorate students are working in universities as faculty members.