All programs represent substantial progress in the major field beyond the bachelor’s degree. University requirements for the master’s degree are described in the . The program emphasizes developing analytic abilities, making better decisions, developing and executing strategies, and leading people who innovate. Unlike an MBA, the department's master’s program addresses the technical as well as the behavioral challenges of running organizations and complex systems, emphasizing quantitative analytic skills and an entrepreneurial spirit. MS& E students know math, engineering and behavioral science. They can conduct experiments to design better systems, organizations and work processes. They understand how to analyze data to solve real- world problems.
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They can develop mathematical and computational models to inform action. They know how to surface and examine unarticulated assumptions and root causes. These students can communicate effectively in the team environments found in so many contemporary organizations. Seven M. S. Area Specialties. MS& E master’s students have breadth as well as depth. All are required to develop competence in optimization and analytics, organizations and decisions, and probability. Financial Analytics.
Students who concentrate in Financial Analytics are prepared for careers requiring analytical rigor and the ability to innovate around market challenges. Example career paths include financial services, risk management, investment management, financial technology and data processing, financial regulation and policy, exchanges and clearinghouses, and auditing and compliance.
The concentration combines the in- depth study of quantitative techniques with practical, hands- on business problem solving. Students learn to use mathematical models and quantitative tools to solve complex problems in finance practice. The concentration exploits the intellectual ties between finance, operations research, computer science and engineering. It offers a high level of flexibility and a range of elective courses that allow students to tailor the program to their specific career goals.
Required courses immerse students in quantitative methods and deepen their understanding of finance fundamentals. Projects courses feature practical, data- driven team projects and case studies, fostering group learning and interaction with peers. Operations and Analytics. Students following the Operations and Analytics track become prepared in the fundamentals and applications that are critical to careers in a fields ranging from operations management in the service, healthcare, production, manufacturing, computer, telecommunications and banking industries to modern Silicon Valley information technology and data analytics.
The program emphasizes a balance between the technical rigor of methodologies with lasting value and insightful modern applications and design challenges in a variety of established and emerging industries and operations environments. It offers a portfolio of courses in probabilistic modeling, optimization, simulation, algorithms, data science, networks, markets and corresponding applications. Technology and Engineering Management. Students who concentrate in Technology and Engineering Management are prepared for careers including product and project management, management consulting and entrepreneurship. They acquire skills to manage technical organizations, foster innovation, and deal with rapidly evolving technologies and dynamic markets. Specialized coursework is flexible, allowing students to explore and gain depth, understanding technical organizations to develop a culture of successful innovation and entrepreneurship, along with methods for decisionmaking under uncertainty, financial analysis and strategic planning.
The MS degree programs require a minimum of 45 units beyond the equivalent of a BS at Stanford. Graduate Programs; MS. With a variety of departments and programs affiliated with Stanford Bioengineering. About Stanford; Academics.
Computational Social Science. The Computational Social Science track teaches students how to apply rigorous statistical and computational methods to address problems in economics, sociology, political science and beyond. The program prepares students for a diverse set of career paths in data science, information technology, and policy analysis. The core coursework covers fundamental statistical concepts, large- scale computation, and network analysis. Through electives, students can explore topics such as experimental design, algorithmic economics, and machine learning.
Decision and Risk Analysis. Students who specialize in Decision and Risk Analysis are prepared for careers including management consulting, policy analysis and risk management, applying engineering systems analysis to tackle complex economic and technical management problems in the private and public sectors. They acquire the skills to identify and develop opportunities in uncertain situations while recognizing and hedging the downside risks. Specialized course work includes the mathematical foundations for modeling in dynamic uncertain environments to value and manage uncertain opportunities and risks, applications to public policy, and an opportunity to work on a client project under faculty guidance. Energy and Environment. The Energy and Environment track is designed for students interested in energy and environmental issues from the perspectives of public policy, nongovernmental organizations or corporations. This track includes core courses; courses in economic analysis, energy resources and energy/environmental policy analysis; and an individually designed concentration, typically emphasizing policy, strategy or technology.
Seminars provide insights into current corporate strategy, public policy and research community developments. Energy/environmental project courses give practice in applying methodologies and concepts. Health Systems Modeling The Health Systems Modeling track is designed for students interested in healthcare operations and policy. The courses in this track emphasize the application of mathematical and economic analysis to problems in public health policy and the design and operation of healthcare services.
The master’s degree is designed to be a terminal degree program with a professional focus. The MS can be earned in one academic year (three academic quarters) of full- time work, although most students choose to complete the program in five academic quarters, or 1. M. S. Students complete the course requirements for each department.
A total of 9. 0 units is required to complete the dual master’s degree. Admission. For the dual degree, admission to two departments is required, but is coordinated by designated members of both admissions committees who make recommendations to the committees of their respective departments.
Students may apply to only one department initially. After the first quarter at Stanford, students may apply to be admitted to the second department.
Advising. Every student in the dual- degree program has one adviser in each department. Joint MS& E and Law Degrees. The School of Law and the Department of Management Science and Engineering offer joint degree programs leading to a JD degree and an MS degree in MS& E, or to a JD and Ph. D in MS& E. These programs are designed for students who wish to prepare for careers in areas relating to both law and to the decisionmaking, policymaking and problem- solving knowledge and skills developed in the MS& E program. Students interested in either joint degree program must apply and gain admission separately to the School of Law and the Department of Management Science and Engineering and, as an additional step, must secure consent from both academic units to pursue degrees in those units as part of a joint degree program. Interest in either joint degree program should be noted on the student’s admission applications and may be considered by the admission committee of each program. Alternatively, an enrolled student in either the Law School or MS& E may apply for admission to the other program and for joint degree status in both academic units after commencing study in either program.
Joint & Dual Degrees. Stanford Computer Science/MBA Joint Degree. HCI-Related Degrees at Stanford. Bachelor of Science in Computer. Stanford graduate students in. Engineering and Computer Science located on the Stanford University Campus in the Gates. Electrical Engineering or the Computer Science.
Joint degree students may elect to begin their course of study in either the School of Law or MS& E. Students are assigned to a joint program committee composed of at least one faculty member from Law and one from MS& E. This committee plans the student’s program jointly with the student. Students must be enrolled full- time in the Law School for the first year of law studies, and it is recommended that students devote exclusively one autumn quarter to the MS& E MS program to initiate their MS& E work. After that time, enrollment may be in MS& E or Law, and students may choose courses from either program regardless of where enrolled.
A candidate in the joint JD/Ph. D program should spend a substantial amount of full- time residency in MS& E. Students must satisfy the requirements for both the JD and the MS or Ph. D degrees as specified in the Stanford Bulletin or by the School of Law. The Law School may approve courses from MS& E or courses in the student’s MS& E program from outside of the Department of Management Science and Engineering that may count toward the JD degree, and MS& E may approve courses from the Law School that may count toward the MS or Ph. D degree in MS& E.
In either case, approval may consist of a list applicable to all joint degree students or may be tailored to each individual student’s program. The lists may differ depending on whether the student is pursuing an MS or a Ph. D in MS& E. In the case of a JD/MS program, no more than 4.
In the case of a JD/Ph. D program, no more than 5. In either case, no more than 3.
Law School may count toward the law degree. To the extent that courses under this joint degree program originate outside the Law School but count toward the law degree, the law credits permitted under Section 1. Law School Regulations are reduced on a unit- per- unit basis, but not below zero. The maximum number of Law School credits that may be counted toward the MS in MS& E is the greater of: (a) 1.