M.S. in Artificial Intelligence Curriculum & Course Descriptions Request More Info Apply Now Attend an Info Session Contact Us Artificial Intelligence Biotechnology Computer Science Cybersecurity Data Analytics and Visualization Digital Marketing and Media Mathematics Occupational Therapy Physician Assistant Physics Speech-Language Pathology OverviewIn QDVOX Mart - Buy brand new Limb dampeners for crossbow noise reduction Discount available’s 36-credit M.S. in Artificial Intelligence, you’ll learn by doing, using advanced techniques in AI and machine learning on industry sectors as varied as health care, biotech, finance, social media, marketing, cybersecurity and more. In class and in the studio, you’ll build AI applications, experiment with tools and work with faculty on important research. As part of the coursework, you'll complete an industry-oriented final project, and you'll be encouraged to gain hands-on experience by working in real companies through internships and independent study. The M.S. can be completed full time in just 21 months or part time at a pace that makes sense for you. View a typical course sequence for full-time students. Part-time students select 1-2 courses per semester in consultation with their program director. Review degree requirements below, and download course descriptions here. Course DescriptionsTypical course sequence Degree Requirements To earn the M.S. in Artificial Intelligence, you must complete 24 credits of required foundational courses, including a capstone project, as well as 12 credits of elective courses, which may include an internship. Courses are 3 credits, unless otherwise noted. Core Requirements (24 credits) AIM 5001 Data Acquisition and ManagementAIM 5002 Computational Statistics and ProbabilityAIM 5003 Numerical MethodsAIM 5004 Predictive ModelsAIM 5005 Machine LearningAIM 5000 Artificial IntelligenceAIM 5007 Neural Networks and Deep LearningAIM 5008 AI Capstone: R&D Experience Electives (12 credits) AIM 5009 Bayesian MethodsAIM 5010 AI Product StudioAIM 5011 Natural Language ProcessingAIM 5012 Data VisualizationAIM 5013 Advanced Data EngineeringComplex Systems: Financial Time Series AnalysisAIM 5012 Special Topics (1-3 credits)AIM 5999 Independent Study (1-3 credits)Internship (1-3 credits)* Note: Electives offerings will vary each semester. Therefore, some choices will not be available for a particular cohort. Summers include one live-online course and are primarily used for internships, studio, research and special topics. *Internship can be taken as an elective beginning in the summer semester.