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The Systems Science and Engineering program offers master's-level education across diverse fields, focusing on transdisciplinary approaches within general systems analysis. This program cultivates analytical and integration capabilities to tackle complex real-world challenges that demand a comprehensive viewpoint.
Faculty members from Information Technology and Engineering, Mathematics and Statistics, Administration, Economics, and other departments actively participate in the Systems Science and Engineering program as educators, mentors, and thesis supervisors. Many also engage with Systems Science and Engineering initiatives such as seminar series and application-focused events.
This interdisciplinary graduate program in System Science caters to individuals passionate about analyzing and modeling both natural and artificial systems through mathematical and computational methods. It equips professionals with expertise to comprehend, manage, forecast, and enhance system performance across various domains, spanning engineering, computer science, management, and applied economics. A dedicated Committee oversees the program, with representatives from the Economics Department, School of Information Technology and Engineering, Telfer School of Management, and Mathematics and Statistics Department.
Have a bachelor’s degree in Computer Science, Economics, Engineering, Mathematics, Operations Research, Science or a related area with a minimum average of B (70%).
TOEFL 550 / IELTS Overall 6.5 - Individual 5.0 (Paper-based)
TOEFL 79-80 / IELTS Overall 6.5 - Individual 5.0 (Internet-based)