Masters Programs
The Systems Engineering (SE) Master’s programs are designed to provide graduate students with the quantitative and analytical science theory, methods and tools that will enable them to model, design, analyze, and optimize human-made and physical systems within a broad array of applications.
The Master of Science (MS) Program in Systems Engineering is designed to provide advanced training in systems engineering for students focusing on a research oriented career in academia or industry. The program requires students to establish the necessary foundation of systems engineering in addition to advanced systems engineering coursework. The program requires the students either to do research with a faculty member and write a thesis, or complete a project one-on-one with a professor or in an approved class setting. The program is designed to be completed by full-time students in one academic year. Students who excel in the SE MS program are encouraged to apply to the SE post-MS PhD program.
The Master of Engineering (MEng) Program in Systems Engineering is a professional degree program designed for students focusing on engineering, consulting, or management careers in industry, business, or government. The program provides flexibility in course selection to allow students to gain sufficient depth and breadth in their area of concentration while complementing these with courses outside their concentration area. The choice of courses must form a coherent and balanced program in systems engineering. MEng students should make their course selection in consultation with their faculty advisor. The program is designed to be completed by full-time students in one academic year. Students who graduate from the SE MEng program are eligible to apply to the SE post-MS PhD program.
SE also offers graduate students a variety of concentration options in support of the College’s mission to stay on the forefront of engineering education and provide customizable degree options to students:
- Energy and Environmental Systems (new)
- Computational and Systems Biology
- Control Systems
- Network Systems
- Financial Engineering
- Production and Service Systems
- Operations Research
SE methodologies usually account for such real-world complexities as uncertainty, constraints, multiple objectives, and the relationships among the various parts or subsystems that constitute the system being studied. Skill emphasis is on problem formulation, system performance evaluation and analysis, and optimal decision making based on quantitative methods including mathematical programming for structured constrained optimization, combinatorial optimization for unstructured (non-convex) problems, stochastic analysis and optimization for systems under uncertainty, probability theory and statistical inference for identification and data processing.
