In addition to completing the breadth requirement, students enrolled in IST sub-plan must fulfill the following course requirements:

  • Total 30 credits of graduate level approved coursework required
  • Four breadth courses – must earn a B or better grade
  • At least four sub-plan courses – must earn a B or better grade
  • Students may take up to two non-CS approved classes
  • No limit on distance classes

You may count the same course towards breadth and sub-plan requirement. Any non-CS courses under the sub-plan listing does count against your two allowable non-CS classes. Also, due to the interactive nature of IST classes, most IST classes do not have distance section, hence it becomes challenging to complete this sub-plan exclusively online. 

Intelligent Systems Courses

  • CSCI 5254: Convex Optimization and Its Applications
  • CSCI 5302: Advanced Robotics
  • CSCI 5502: Data Mining
  • CSCI 5582: Artificial Intelligence
  • CSCI 5622: Machine Learning
  • CSCI 5673: Distributed Systems
  • CSCI 5722: Computer Vision
  • CSCI 5822: Probabilistic Models of Human and Machine Learning
  • CSCI 5832: Natural Language Processing
  • CSCI 5922: Neural Nets and Deep Learning
  • CSCI 7000: Robot Perception
  • CSCI 7000: Task and Motion Planning
  • CSCI 7000: Physical Systems Modeling and Analysis
  • CSCI 5352: Network Analysis and Modeling
  • CSCI 7000: Algorithmic Economics and Machine Learning
  • ECEN 5322: Analysis of High-Dimensional Datasets
  • APPM 8500: Statistics, Optimization, and Machine Learning Seminar