Master of Science in Analytics

Application Deadlines

Spring 2020: September 15, 2019

Fall 2020: January 15, 2020


The MS in Analytics is designed to satisfy the growing demand for professionals equipped with significant technical and quantitative training in the fundamentals of analytics for solving engineering and management problems in today’s data-extensive digital world.
Analytics is a multidisciplinary field that relates the application of engineering approaches and methods to the analysis and management of engineering and enterprise processes based on data. Learning objectives of this program involve data collection, cleansing, fusing and curating, for the purpose of analyzing trends, discovering patterns and building decision models for well-reasoned decision support. Rigorous mathematical modeling and computational methods tools are at the heart of the program.
Graduates of this program will be prepared to convert data into meaningful information, embedded in decision support systems that can help organizations make important operational decisions and help set strategic direction and policy.

International Students: This program is eligible for the OPT STEM extension.

Please Note: Requirements for graduation, course offerings, course availability, track offerings and any other degree requirements are subject to change. Students should consult with an academic advisor prior to registering for any classes.

  • A minimum of 30 units is required for the MS in Analytics degree
  • Required courses (15 units):
    INF 559 – Introduction to Data Management
    INF 529 – Predictive Analytics
    ISE 530 – Optimization Methods for Analytics
    ISE 533 – Integrative Analytics 
    ISE 562 – Value and Decision Theory
  • ISE 538 or ISE 580
  • Elective courses: 1 ISE elective and 1 INF or CSCI elective – 6 units
  • Advisor-approved elective courses: 6 units
  • A minimum cumulative GPA of 3.00 is required for graduation.
Detailed Program Curriculum and RequirementsSchedule of Classes