Computer Science-Applied: Data Science

To submit a proposed plan of study, use the Applied CS Program webform.
 

Courses - Core (30 credits) + Electives (2 credits)

Core

  • CS 434 Machine Learning and Data Mining (4)

  • CS 440 Database Management Systems (4)
  • CS 453 Scientific Visualization (4) or CS 458 Introduction to Information Visualization (4)
  • CS 475 Introduction to Parallel Programming (4)
  • MTH 254 Vector Calculus I (4)
  • MTH 341 Linear Algebra I (3)
  • ST 314 Intro to Stats for Engineers (3)**
  • ST 421 Introduction to Mathematical Statistics I (4)

Electives

  • CS 321 Introduction to Theory of Computation (3)

  • CS 331 Introduction to Artificial Intelligence (4)

  • CS 406 Projects (maximum 6 cr.)

  • CS 420 Graph Theory with Applications to Computer Science (3)

  • CS 492 Mobile Software Development
  • CS 493 Cloud Application Development
  • CS 499 - If topic is appropriate (varies)
  • MTH 342 Linear Algebra II (4)
  • MTH 351 Intro to Numerical Analysis (3)
  • MTH 451 Numerical Linear Algebra (3)
  • ST 422 Introduction to Mathematical Statistics II (4)

**ST 314 must be used in Focus area. Most complete 9 credits of CS restricted electives.