Management Science and Engineering provides programs of education and research by integrating three basic strengths:
- Depth in conceptual and analytical foundations;
- Comprehensive coverage of functional areas of application; and
- Interaction with other Stanford departments, Silicon Valley industry, and organizations throughout the world telecommunications.
The PhD degree in MS&E is intended for students primarily interested in a career of research and teaching, or high-level technical work in universities, industry, or government.
Students pursuing a PhD in another department may choose to also complete the requirements for a PhD minor in Management Science and Engineering.
The master's degree is designed to be a terminal degree program with a professional focus.
Coterminal BA/BS and MS
This program allows undergraduates an opportunity to work simultaneously toward a BS in MS&E or another quantitative major, and an MS in MS&E. Registrar's Coterminal site.
HCP (Part-Time MS)
Pursue a Stanford University Master of Science degree on a part-time basis through the Honors Cooperative Program (HCP).
Dual & Joint Degree
The dual and joint degree programs enable graduate students to obtain two degrees either concurrently or consecutively. Students must apply and be admitted to each degree separately.
The analytical and conceptual foundations of an MS&E degree include:
- decision and risk analysis
- dynamic systems
- organizational science
- stochastic systems
The functional areas of application include:
- organizational behavior
- policy & strategy
Close associations with other engineering departments and with industry enrich the programs by providing opportunities to apply MS&E methods to important problems and by motivating new theoretical developments from practical experience. MS&E’s programs also provide a basis for contributing to other areas such as biotechnology, defense policy, environmental policy, information systems, and telecommunications.
“Being able to choose between a wide array of courses from accounting to machine learning is one of the hallmarks of this program that I would have missed out on if I'd chosen another program.”
- Tyreke White, MS graduate
Does it matter when I declare my major?
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