Management Science and Engineering (MS)
Management Science and Engineering (MS&E), offered by the IEOR Department in partnership with Columbia Business School, is the first such program between Columbia Engineering and Columbia Business School. It reflects the next logical step in the long-standing close collaboration between the IEOR Department at the Engineering School and the Decision, Risk, and Operations (DRO) Division at the Business School. Coursework emphasizes both management and engineering perspectives in solving problems, making decisions, and managing risks in complex systems. Students pursuing this specialization are provided with a rigorous exposure to optimization and stochastic modeling, and a deep coverage of applications in the areas of operations engineering and management.
In addition to the core and semi-core requirements, Management Science and Engineering has seven concentrations:
- Operations and Analytics;
- Pricing and Revenue Management;
- Entrepreneurship and Innovation;
- Logistics and Supply Chain Management;
- Financial Technology (Fin Tech);
- Healthcare Management; and
- Product Management
Additional details regarding these concentrations are available on the MS&E website at ieor.columbia.edu/mse-curriculum.
Graduates of this program are expected to assume positions as analysts and associates in consulting firms, business analysts in logistics, supply chain, operations, or revenue management departments of large corporations, and as financial analysts in various functions (e.g., risk management) of investment banks, hedge funds, credit-card companies, and insurance firms.
Management Science and Engineering (36 points) can be completed in a single calendar year, in three semesters. Students enter in the fall term and can either finish their coursework at the end of the following August, or alternatively, have the option to take the summer term off (e.g., for an internship) and complete their coursework by the end of the following fall term. Students are required to take the equivalent of 12 three-point courses (36 points).
Students must take at least six courses (18 points) within the IEOR Department, three to six courses at the Business School, and the remaining courses (if any) within the School of Engineering; the School of International
and Public Affairs; the Law School; or the Departments of Economics, Mathematics, and Statistics. Students in residence during the summer term can take two to four Business School courses in the third (summer) semester in order to complete their program. Additional details regarding these electives are available in the Departmental office and on the MS&E website at mse.ieor.columbia.edu.
Management Science and Engineering (36 points)
Code | Title | Points |
---|---|---|
Required Core Courses | ||
IEOR E4004 | OPTIMIZATION MODELS AND METHODS (first fall semester) | |
IEOR E4101 | PROBABILITY STAT & SIMULATION (first fall semester) | |
IEOR E4102 | STOCHASTIC MODELING FOR MSE (spring semester) | |
IEOR E4111 | OPERATIONS CONSULTING (starts fall semester, year-long course) | |
DROM B8000 | OPTIMIZATION & SIMULATION BOOTCAMP | |
Semi-Core Courses | ||
(DRO, Analysis, and Management Electives 18 points) | ||
Decision, Risk, and Operations Electives | ||
Choose nine points from the following: | ||
BUSINESS ANALYTICS | ||
Business Analytics II (Full Term) | ||
DROM B8105 | ||
Operations Strategy | ||
Service Operations Management | ||
Game-Theoretic Business Strategy | ||
Risk Management | ||
Demand Analytics | ||
Sports Analytics | ||
MANAGERIAL NEGOTIATIONS | ||
Analysis and Management Electives | ||
Complete nine points minimum | ||
Analysis Group | ||
Choose at least one of the following: | ||
COMPUTATION DISCRETE OPT | ||
ANALYSIS OF ALGORITHMS I | ||
PRODUCTION SCHEDULING | ||
GAME THEOR MODELS OF OPERATION | ||
TRANSPORTATION ANALYTICS & LOGISTICS | ||
TOOLS FOR ANALYTICS | ||
HEALTHCARE OPERATIONS MGT | ||
DATA ANALYTICS | ||
MACHINE LEARNING FE & OPR | ||
ANALYTICS ON THE CLOUD | ||
DATA MINING | ||
Visualization and Storytelling with Data | ||
Performance, Objectives, & Results Using Data Analytics | ||
DYNAMIC PRICING/REVENUE MGMT | ||
Deep Learning for OR and FE | ||
Supply chain management | ||
Management Group | ||
Choose at least one of the following: | ||
QUALITY CONTROL AND MANAGEMENT | ||
OPERATION RES IN PUBLIC POLICY | ||
DESIGN DIGITAL OPERATING MODELS | ||
PROJECT MANAGEMENT | ||
ENTREPRENEURIAL BUS CREA-ENGIN | ||
LAUNCH YOUR STARTUP: TECH | ||
Innovate Using Design Thinking (weeklong course in mid-January, by application only) | ||
TOPICS IN OPERATIONS RESEARCH (2-day long course fall or spring semester, by application only) | ||
GLOBAL CAPITAL MARKETS | ||
MANAG TECH INNOV & ENTREPRENEURSHIP | ||
Breadth Electives | ||
The breadth electives can be selected from the Business School, the School of Engineering, the School of International and Public Affairs, the Law School, or the Departments of Economics, Mathematics, and Statistics. |