Platform for Success

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.

Core Curriculum

There are four core courses that are required to earn the Master of Engineering in Systems Engineering degree:

  • SYS 6001 Introduction to Systems Analysis and Design (first week in residence)

    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.

  • SYS 6043 Applied Optimization

    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.

  • SYS 6045 Applied Probabilistic Modeling

    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.

  • SYS 6002 Systems Integration (Capstone Project during final week in residence)

    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.

Standard Courses

Additional courses that are a standard part of the AMP curriculum include the following:

  • SYS 6050 Risk Analysis

    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.

  • APMA 6430 Statistics for Engineers and Scientists

    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.

  • SYS 6064 Applied Human Factors Engineering

    Covers principles of human factors engineering, understanding and designing systems that take into account human capabilities and limitations from cognitive, physical, and social perspectives.

Electives

Three elective courses are tailored to the needs and interests of the students in each year’s cohort:

  • SYS 6018 Data Mining

    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.

  • SYS 6582 Selected Topics in Systems Engineering: Systems Engineering in Management
    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.
  • SYS 7002 Case Studies in Systems Engineering

    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.

Academic requirements and official course descriptions can be found in the University of Virginia Graduate Record using the Catalog Search. The information on this page is for informational purposes only. The Graduate Record is the official repository for academic program requirements.