Big Data Systems Track

Degree requirements

You’ll be required to take:

  • 21 core credits
  • 9 elective credits
  • A course in data ethics or a major project is highly encouraged, but not required.

The Big Data Systems track requires a set of core courses that cover: Statistical Methods, AI and Machine Learning, Big Data, Cloud Computing, and Visualization, and Core Engineering. Students may choose electives based on their interests, needs, and career goals. Course electives may include symbolic models of machine learning; high performance computing; elements of artificial intelligence; advanced database concepts; data semantics; data visualization; applied linear models; information architecture for the web; etc.