Computational Science, Data Science Concentration, M.S.

(Major Code: 07992) (Academic Plan Code: 773011MSS)

The following materials should be submitted electronically to the Computational Science Research Center at San Diego State University. Refer to the Graduate Admissions website (http://arweb.sdsu.edu/es/admissions/grad/programs/index.html) for application instructions. Consult the department website (http://www.csrc.sdsu.edu/masters_checklist.html) for details concerning required materials.

Three letters of recommendation from persons in a position to judge academic ability;
Personal statement of motivating interest for the program and briefly describe research interests and educational goals.
Copies of unofficial transcripts from all postsecondary institutions attended.

The concentration focuses on data science. Students entering the program should have background in modeling, programming, simulation, or statistics. The student must complete a graduate program of 30 units to include the following:

Advancement to Candidacy

Approval Thesis/Project proposal by Student Thesis/Project committee. All students must satisfy the general requirements for advancement to candidacy as described in Requirements for Master’s Degrees .

Required Core Courses (15 Units)

CS 503 - Scientific Database Techniques Units: 3
or
CS 514 - Database Theory and Implementation Units: 3 But not both.
or
COMP 607 - Computational Database Fundamentals Units: 3 But not both.
COMP 526 - Computational Methods for Scientists Units: 3
COMP 536 - Computational Modeling for Scientists Units: 3
or
MATH 636 - Mathematical Modeling Units: 3 But not both.
COMP 605 - Scientific Computing Units: 3 also listed as
CS 605 - Scientific Computing Units: 3
COMP 670 - Seminar: Problems in Computational Science Units: 3

Elective Courses (9 Units Selected From)

CS 553 - Neural Networks Units: 3
or
CS 559 - Computer Vision Units: 3 But not both.
or
E E 657 - Digital Image Processing Units: 3 But not both.
CS 653 - Data Mining Units: 3
STAT 670A - Advanced Mathematical Statistics Units: 3
STAT 670B - Advanced Mathematical Statistics Units: 3
STAT 672 - Nonparametric Statistics Units: 3
STAT 673 - Time Series Analysis Units: 3
STAT 700 - Data Analysis Methods Units: 3
STAT 702 - Data Mining Statistical Methods Units: 3

Research (3 Units)

COMP 797 - Research Units: 1-3 (3)

Project (3 Units)

COMP 798 - Special Study Units: 1-3 (3) (and comprehensive examination)

Note

Substitution of core courses is permitted based on disciplines related to student’s specialization with prior consent of program director. With prior consent of the director, 600-level courses from other departments may be used as electives, based on the student’s background and research interest. A complete student program must be approved by the computational science program director.