Master of Science in Systems Engineering

Students in the broadly-based, cross-disciplinary Master of Science in Systems Engineering (ENSE) program at ISR benefit both academically and professionally by: Being exposed to a wide range of systems engineering principles and software tools tailored toward support for visual modeling of systems, requirements engineering, system-level modeling, optimization and trade-off analysis, and human factors engineering. Becoming familiar with the financial and management issues associated with complex engineering systems. Acquiring a deep understanding of one particular application area. Becoming familiar for opportunities for leadership within the systems engineering profession. Designed with substantial industry input, the ENSE curriculum represents the University of Maryland's first multi-college graduate degree program involving the A. James Clark School of Engineering.

In addition to the technical management of systems projects, the ENSE program covers a wide range of topics, from systems definition, requirements and specifications, to systems design, implementation, and operation. Students specialize in one technical area, selected from computer and software systems, communication and networking systems, signal processing systems, control systems, manufacturing systems, operations research, transportation systems, and robotics. The ENSE program draws upon the extensive engineering, computer science and management experience of the of University of Maryland faculty. The program makes optimum use of the university's advanced facilities, including extensive libraries of numerical, symbolic, and visualization software, engineering workstations, and wireless communication networks.

A bachelor's degree, GPA of 3.0 or better, in engineering, computer science, physics, applied mathematics, physical sciences, or a closely related field from an accredited institution.
Successful completion of all of the following courses (or their equivalent):
Math: Calculus I, II, III, and Differential Equations
Familiarity with at least one programming language
Statement of Purpose
Transcript(s)
TOEFL/IELTS/PTE (international graduate students)
Graduate Record Examination (GRE)
3 Letters of Recommendation
CV/Resume
Description of Research/Work Experience
iBT TOEFL - 96 Overall (Speaking 22, Listening 24, Reading 26, Writing 24)
IELTS - 7 Overall (Listening 7, Reading 7, Writing 7, Speaking 6.5)