Data Science & Engineering Sub-plan Requirements

Students enrolled in DSE sub plan must fulfill the following requirements:

  • Total 30 credits of graduate level approved coursework required
  • Three breadth courses (9 credits) – must earn a B or better grade
  • Must complete at least 12 credits of sub-plan courses from the list below – must earn a B or better grade
  • Must complete 6 credits of capstone class - must earn a B or better grade.
  • Complete 3 credits of elective class.
  • 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 academic advisor and included in the MS Plan of Study.

  • CSCI 5214 - Big Data Architecture
  • CSCI 5253 - Datacenter Scale Computing
  • CSCI 5254 - Convex Optimization
  • CSCI 5352 - Network Analysis and Modeling
  • ​CSCI 5434 Probability for Computer Science
  • CSCI 5502 - Data Mining
  • CSCI 5576 - High-Performance Scientific Computing
  • CSCI 5622 - Machine Learning
  • ​CSCI 5654 - Linear Programming
  • CSCI 5676 - Numerical Methods for Unconstrained Optimization
  • CSCI 5722 - Computer Vision
  • CSCI 5832 - Natural Language Processing
  • CSCI 5922 - Neural Networks and Deep Learning
  • CSCI 6502 - Big Data Analytics: Systems, Algorithms, and Applications
  • ATLS 5214 - Big Data Architecture