Studying with top-notch faculty and extraordinary classmates, students in UVA’s Accelerated Master’s Program in Systems Engineering complete a full-fledged master’s degree in one year.
Practical analytical skills are built on a foundation of systems concepts through case-based instruction. The environment is highly collaborative. Challenging courses are carefully sequenced and coordinated. Students finish the Program with a coherent body of knowledge, and they apply the skills they gain in their workplaces throughout the year.
The AMP curriculum includes 30 credit-hours consisting of ten three-credit courses.
There are four core courses that are required to earn the Master of Engineering in Systems Engineering degree:
An overview of systems engineering as a professional and intellectual discipline, and its relation to other disciplines, such as operations research, management science, and economics. Extensive use of case studies to introduce systems methodology and systems thinking.
Foundations of mathematical modeling and optimization, with emphasis on problem formulation and solution techniques. Includes applications of linear programs, nonlinear programs, and combinatorial models, as well as a practical introduction to algorithms for solving these types of problems.
Develops an operational understanding of the basic tools of probabilistic modeling, including (i) a review of undergraduate probability, (ii) introduction to Bernoulli and Poisson processes with applications, (iii) Markov chains and applications, and (iv) limit theorems.
Uses a capstone project to develop skills in addressing problems encountered when integrating large systems. The capstone project is used to provide students with the opportunity to apply techniques for dealing with systems integration.
Additional courses that are a standard part of the AMP curriculum include the following:
A study of technological systems, where decisions are made under conditions of risk and uncertainty. Topics include the nature, perception, and epistemology of risk, and the process of risk assessment and management; systems engineering tools for risk analysis; and methodologies for risk analysis.
Analyzes the role of statistics in science; hypothesis tests of significance; confidence intervals; design of experiments; regression; correlation analysis; analysis of variance; and introduction to statistical computing with statistical software libraries.
Describes approaches to turning data into information. Rather than the more typical deductive strategy of building models using known principles, data mining uses inductive approaches to discover the appropriate models. These models describe a relationship between a system’s response and a set of factors or predictor variables.
Taught by faculty of the Darden Graduate School of Business, the course comprises topics such as corporate finance, bargaining and negotiating, entrepreneurship, ethics in engineering practice, business decision analysis, and global economics.
Taught by faculty from the Department of Engineering Systems and Environment, the Data Science Institute, and the Darden Graduate School of Business, the course comprises topics such as machine learning, decision analysis, financial engineering, agent-based modeling, sustainability, and enterprise architecture.
A survey is done each year to determine the topics to be included in the elective track courses. Depending on the number of students and their interests, more than one elective track may be offered.
Several faculty members describe their courses and approach to teaching in the AMP in a series of short (one- to two-minute) interviews on the AMP Videos page.
As a member of the State Authorizations Reciprocity Agreement, the University of Virginia (UVA) is authorized to provide curriculum in a distance learning environment to students located in all states in the United States except for California. (34 CFR 668.43(a)(6)& 34 CFR 668.72(n)).
Upon completion of an engineering degree program which prepares graduates for licensure or certification, graduates may be eligible for initial professional licensure in another U.S. state by applying to the licensing board or agency in that state. Please visit the University’s state authorization web pages to make an informed decision regarding which states’ educational requirements for initial licensure are met by this program. (668.43(a)(5) (v)(A) - (C))
Enrolled students who change their current (or mailing) address to a state other than Virginia should update this information immediately in the Student Information System as it may impact their ability to complete internship, practicum, or clinical hours, use Title IV funds, or meet licensure or certification requirements in the new state. (34 CFR 668.402).