Master's Programs - Emphasis in Data Science
(Starting Fall 2017 Subject To Campus Approval)

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 15 units selected from below)

  • COMP 589 Computational Imaging / CS 559 Computer Vision / EE 657 Digital Image Processing / or CS 553 Neural Networks
  • CS 596 Machine Learning
  • CS 653 Data Mining and Knowledge Discovery
  • CS 696 Applied Computer Vision
  • CS 696 Big Data Tool Methods
  • 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

  • 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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