CSRC :: master's data science

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)

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 521 Introduction to Computational Science
COMP 589 Computational Imaging / CS 559 Computer Vision / EE 657 Digital Image Processing / or CS 553 Neural Networks
COMP 626 Applied Mathematics for Computational Scientists
CS 653 Data Mining and Knowledge Discovery
CS 649 Big Data Tools and 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

Research Courses (required 3 units)

Culminating Project (required 3 units)

Advancement to Candidacy: Approval Thesis/Project proposal by Student Thesis/Project committee. 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.