Data Science & Engineering Sub-plan Requirements

Students enrolled in DSE sub plan must fulfill the followingÌýrequirements:

  • Total 30 credits of graduate level approved coursework required
  • Three breadth coursesÌý(9 credits) – must earn a B or better grade
  • Must complete atÌýleast 12 credits of sub-plan courses from the list below – must earn a B or better grade
  • Students may count the same course towards DSE sub plan and Breadth requirement.
  • Students may take up to two non-CS approved classes
  • Any non-CS courses under the sub-plan listing counts against the TWO allowable non-CS classes.

You must get a grade of at least a B or better in all DS and/or DE courses to fulfill the requirement. Courses of interest should be chosen in collaboration with your academicÌýadvisor and included in the MS Plan of Study.

  • CSCI 5214 - Big Data Architecture
  • CSCI 5253Ìý- Datacenter Scale Computing
  • CSCI 5254Ìý- Convex Optimization
  • CSCI 5352Ìý- Network Analysis and Modeling
  • ​ÌýProbability for Computer Science
  • CSCI 5502Ìý- Data Mining
  • CSCI 5576Ìý- High-Performance Scientific Computing
  • CSCI 5622Ìý- Machine Learning
  • ​CSCI 5654Ìý- Linear Programming
  • CSCI 5676Ìý- Numerical Methods for Unconstrained Optimization
  • CSCI 5722Ìý- Computer Vision
  • CSCI 5832Ìý- Natural Language Processing
  • Ìý- Neural Networks and Deep Learning
  • CSCI 6502Ìý- Big Data Analytics: Systems, Algorithms, and Applications
  • ATLS 5214 - Big Data Architecture

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