The Master's degree programs offered by the Stewart School of Industrial and Systems Engineering provide rigorous graduate education in the core methodologies of industrial engineering, operations research, statistics and data science and in applied engineering and analytics disciplines. The breadth and depth of our faculty allow us to offer nine different degree options, tailored to students' educational and career objectives.
Specialty Master's degrees prepare graduates for careers in practice. These highly-focused degree offerings include hands-on learning through experiential, project-based content and the opportunity to develop strong domain knowledge. The programs combine thorough coverage of advanced quantitative methods from operations research, statistics, and industrial and systems engineering with training in the use of these tools in improving system analysis, planning, and design.
The Master of Science in Analytics is an interdisciplinary degree program that leverages the strengths of Georgia Tech in statistics, operations research, computing, and business provided by the Scheller College of Business, the College of Computing, and the Stewart School of Industrial and Systems Engineering. Analytics is a fast-growing field focused on transforming data into relevant insights for making better business decisions.
The Master of Science in Health Systems degree program focuses on providing graduates with the ability to develop and apply analytical approaches for the planning, implementation, and evaluation of operational and managerial systems that enable the delivery of healthcare services to the public.
The Master of Science in Quantitative and Computational Finance (MSQCF) degree program provides students with the practical skills and theoretical understanding they need to be leaders in the formulation, implementation and evaluation of the models used by the financial sector to structure transactions, manage risk and construct investment strategies.
The Master of Science in Supply Chain Engineering (MSSCE) is a graduate degree program created to meet growing demand for business-savvy engineers who can design and synchronize highly complex global supply chains. The program's intensive curriculum covers analytic methods, supply chain engineering, and enterprise management while building professional practice skills through experiential courses and Capstone projects conducted alongside industry partners.
Online Master’s degrees allow students to learn the same curriculum as on-campus students on their own time without having to relocate or commute. This flexibility is ideal for working professionals who do not wish to put their career on hold to pursue a master’s degree. Online students have access to the same high-quality instruction as on-campus students, as well as an unparalleled network of peer learners.
Designed to be completed in one to two years, the Online Master of Science in Analytics offers the same interdisciplinary curriculum as the on-campus program, leveraging Georgia Tech’s strengths in statistics, operations research, computing, and business. Analytics is a fast-growing field focused on transforming data into relevant insights for making better business decisions.
General Master's degrees introduce students to advanced concepts from the fields of industrial engineering, operations research, statistics, and computational science through rigorous programs of coursework. Flexible curricula allow students to tailor programs to their interests. Graduates earning a general Master's degree may choose to take a position in industry or to apply into a doctoral program to begin a career in research.
The Master of Science in Industrial Engineering degree program provides a graduate-level introduction to the broad field of industrial engineering. The program consists of graduate-level coursework in operations research, statistics, and applied industrial engineering.
The Master of Science in Operations Research degree equips graduates with strong capabilities in the theory and practice of operations research through a program of rigorous coursework. Students combine traditional coursework in deterministic and stochastic operations research with electives in statistics and data analytics, and can choose between introductory and advanced Ph.D. level courses depending on background and interest.
The Master of Science in Statistics degree is offered jointly with Georgia Tech's School of Mathematics. The program emphasizes statistics as a science applicable in a technological environment, and is designed to provide graduates with competence in the collection, analysis, and interpretation of data and a sound understanding of statistical principles. While this program can prepare students for follow-on Ph.D. study, it is designed to provide the background for success in a professional career in statistics.
The Master in Computational Science and Engineering (CSE) degree program is offered jointly by Georgia Tech's College of Computing and the Stewart School of Industrial and Systems Engineering. Students can build a flexible curriculum that augments traditional coursework in industrial engineering, operations research, and statistics with high performance computing, numerical computing, computational data analysis, and machine learning.
ISyE is a natural choice to begin or enhance your career path. As the #1 ranked program of its kind, ISyE hosts a world-class faculty and unparalleled excellence and leadership in research, education, and service. A degree from ISyE is versatile, offering a wide variety of career opportunities. We think that you will find that ISyE has much to offer, whether you are considering an undergraduate degree in our field or seeking a program in which to pursue a Master’s degree or a Ph.D.