Operations Research Engineering (MS) at University of Southern California

Cost: Not available

University of Southern California, USA

Type: Masters Duration: 2.0 years

Explore the Operations Research Engineering (MS) program at University of Southern California. This program is offered in USA and provides an excellent learning opportunity in Masters studies.

The Master of Science in Operations Research Engineering at the University of Southern California is designed for candidates with a background in engineering, mathematics, science, or related fields. This program requires the completion of a minimum of 30 units, including at least 21 units of core courses in industrial and systems engineering focused on operations research, along with 9 units of approved electives. Key required courses include Network Flows, Linear Programming, and Performance Analysis using Markov Models. Students must also address any deficiencies in mathematics and statistics prior to full admission. The program is available through distance education, allowing for flexibility in learning. GRE scores are required for admission, and students can select from a variety of electives to tailor their education to their interests and career goals. This comprehensive program prepares graduates for advanced roles in operations research and engineering.

University
University of Southern California
University Location
USA (Online)
Program Duration
2.0 years
Ranking
#125
Part-time allowed
Yes

Required Courses
  • ISE 532 Network Flows
  • ISE 536 Linear Programming and Extensions
  • ISE 538 Performance Analysis Using Markov Models
  • ISE 580 Performance Analysis with Simulation
  • ISE 582 Web Technology for Industrial Engineering
  • ISE 583 Enterprise Wide Information Systems
Elective Courses
  • CE 645 Uncertainty Modeling and Stochastic Optimization
  • ISE 513 Inventory Systems
  • ISE 514 Advanced Production Planning and Scheduling
  • ISE 520 Optimization Theory and Algorithms: Numerical Optimization
  • ISE 525 Design of Experiments
  • ISE 539 Stochastic Elements of Simulation
  • ISE 562 Decision Analysis
  • ISE 563 Financial Engineering
  • ISE 576 Industrial Ecology: Technology-Environment Interaction
  • SAE 541 Systems Engineering Theory and Practice
  • 400- or 500-level computer science course, approved by faculty adviser
  • Two electives, approved by faculty adviser