Fellowship Experience

People looking at a whiteboard.

As a participant in the MITRE SE Fellowship program, you will be fully integrated into MITRE's SE work program. You will be assigned to an SE project in one of our technical centers or in our research program and participate in technical and leadership meetings. MITRE will also provide technical and subject matter training as needed. And you will be assigned a mentor to help guide and advise you through your fellowship. Participants will collaborate with MITRE employees, government staff, and contractors to work through key system life cycle phases of several government programs, while contributing to cutting-edge SE research and application.

MITRE collaborated with our government sponsors to establish a set of SE focus areas deemed crucial to the success of future SE efforts. Project assignments will align with these focus areas to prepare participants to tackle next generation SE challenges:

Systems Thinking

  • Infuses the holistic perspective of systems thinking across all aspects of SE
  • Complements analytic and reductionist thinking by considering emerging wholes and relationships among parts

Social-Human Systems Engineering

  • Addresses more complex social problems and expands the foundations
  • Broadens the body of knowledge to include social and life sciences
  • Reaches beyond the technical to systematically address social-human, complex multidisciplinary, and multi-stakeholder systems, because humans are part of the system, not just external actors

Model-Oriented Systems Engineering

  • Goes beyond model-based SE (MBSE) to unify the expanded science and engineering of future SE
  • Extends MBSE to capture foundational knowledge, patterns, model uncertainty, and more

Evidence-Based Systems Engineering

  • Applies analytics and foundational knowledge to support scientific, evidence-based decision making
  • Big data and the Internet of Things measures the effectiveness of social, political, and legal policy decisions

Change-Based Systems Engineering

  • Uses agile practices, dynamic models, adaptive systems
  • Deals with continual change in a more robust and positive way, including performance engineering, intelligent self-learning systems, and environments

Scaled Systems Engineering

  • Applies a common approach across all scales from nanosystems to systems-of-systems

Resilient Systems Engineering

  • Supports resilient, adaptive, and trustworthy physical cyber systems and cybersecurity

University of Virginia Accelerated Master’s Degree Program in Systems Engineering

The University of Virginia Accelerated Master’s Degree Program in Systems Engineering for MITRE's SE Fellowship participants integrates academic curriculum with real-world government project work. This means that in addition to classroom courses and seminars, participants gain experience working alongside MITRE SE experts, collaborating to solve problems using both analytical and theoretical modeling approaches, at MITRE's campus in McLean, Virginia.

Courses are taught by outstanding faculty from UVA's Department of Engineering Systems and Environment and the Darden Graduate School of Business. Fellowship participants earn 33 credit hours with courses taught on the UVA Grounds in Charlottesville, Virginia, on every other week on Fridays/Saturdays, with breaks between each trimester. The first and last weeks of the program are full week-long sessions to kick-start and conclude the program. 

Curriculum includes:

  • Introduction to Systems Engineering
  • Applied Optimization
  • Applied Probabilistic Modeling
  • Risk Analysis and Modeling
  • Applied Human Factors Engineering
  • Statistics for Engineers and Scientists
  • Data Science/Cyber-Physical Systems
  • Systems Integration Capstone

Additional courses may include:

  • Selected Topics in Engineering Management (Previous topics include: corporate financial management, bargaining and negotiation, business decision analysis, marketing, and entrepreneurship.)

Case Studies in Systems Engineering (data mining, financial engineering, agent-based modeling, feedback control systems)