Master of Science in Computational Decision Science and Operations Research

Make the best decisions possible given the constraints of a problem; help organizations identify efficiencies and operate more effectively. This program was designed to meet the growing demand for computationally proficient decision scientists and operations research professionals. The U.S. Bureau of Labor Statistics estimates there will be a 27 percent increase in operations analysts from 2012-2022, or 19,500 new jobs. Illinois Tech’s Master of Science in Computational Decision Science and Operations Research (MS in CDSOR) offer a number of benefits and advantages: You will take courses in applied mathematics, computer science, business, and engineering to maximize your ability to help organizations improve decision-making. You will learn the most cutting-edge, sophisticated approaches—advanced analytics methods, algorithms, and machine learning—to meet the growing need for computationally sophisticated decision scientists and operations research professionals. The MS in CDSOR is appropriate for both those who seek a career in industry, and those who wish to do a doctorate that could lead to a career in research in industry or academia. It was developed to take advantage of the growth in demand for operations research analysts, nationally and in the Chicago area. It is research-focused and offers hands-on experience with the real-world problems and ties to industry. See “AT&T SDN Network Design Challenge.” Also see “Nash Equilibrium and the Price of Anarchy in Priority Based Network Routing.” [ pdf ] In order to gain a mathematical understanding of the debate on Net-Neutrality, one of our teams analyzed the impact of imposing priorities in queuing systems. They showed that this leads to inefficient utilization of networks. You can complete the MS in CDSOR in two years with full- or part-time study. A thesis is optional. Financial aid may be available for highly qualified candidates.