Master's Programs - Emphasis in Data Science

The Emphasis in Data Science consists of 30 units to be taken from the following list.

Core Courses (required 15 units)

  • CS 503 Scientific Database Techniques / CS 514 Database Theory and Implementation / or
    COMP 607 Computational Database Fundamentals
  • COMP 526 Computational Methods for Scientists
  • COMP 536 Computational Modeling for Scientists or MATH 636 Mathematical Modeling
  • COMP 605/CS 605 Scientific Computing
  • COMP 670 Seminar: Problems in Computational Science

Elective Courses (required 9 units selected from below)

  • COMP 589 Computational Imaging / CS 559 Computer Vision / EE 657 Digital Image Processing / or CS 553 Neural Networks
  • CS 653 Data Mining and Knowledge Discovery
  • STAT 670A Advanced Mathematical Statistics
  • STAT 670B Advanced Mathematical Statistics
  • STAT 672 Non Parametric Statistics
  • STAT 673 Time Series Analyses
  • STAT 700 Data Analysis Methods
  • STAT 702 Data Mining Statistical Methods

Research Courses (required 3 units)

  • COMP 797 Research

Culminating Project (required 3 units)

  • COMP 798 Special Study

  • Advancement to Candidacy: All students must satisfy the general requirements for advancement to candidacy, and the basic requirements for the Master's degree. please see the Graduate Division's Graduate Bulletin.


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