Online MS in Engineering Management
College of Engineering
Earn a master's degree that intersects technology, business, and leadership without the traditional tech background.
100%
online
18+
Months
8
Courses
$24k
$3,000 per course
About the program
Through the Master of Science in Engineering Management (MSEM) program from the College of Engineering at Northeastern University you'll learn how to blend the power of technology and business principles to solve complex challenges and drive innovation in tech-focused industries.
Whether you’re an engineer or a professional from a variety of backgrounds, the 100% online MSEM program will equip you with leadership, management, and technical expertise necessary to manage projects and teams and influence organizational strategy. You'll gain knowledge in project management, data analysis, operations, and business strategy.
By the end of the program, you'll have a strong foundation in project execution, resource management, and decision-making in technology-driven environments. With a diverse set of high-demand skills and a unique combination of engineering expertise and business insight, you will be able to pursue roles in industries such as technology, consulting, and manufacturing.
Skills
- Complex Problem Solving 95%
- Engineering Design Application 85%
- Decision-Making Integration 90%
- Project Management 85%
- Trade-Off Analysis 75%
Skip the application—let your performance pave your way
With the MSEM program’s Fast App pathway, you can skip the application process and use your performance on two initial courses to secure your place in the MSEM program.
Complete two performance-based courses from the MSEM program, get a ‘B’ or better, show proof of your bachelor's degree from an eligible institution by the time you complete the two courses, and you’ll join the next cohort in the master’s degree. All credits earned in the MSEM performance-based courses apply directly to the MSEM degree program.
You can also apply to the program using the standard graduate application for direct admission consideration. Learn more about the standard application requirements at the College of Engineering graduate admissions.
College
Current Fast App dates
Missed an enrollment deadline? Use the enrollment link in your email to enroll in the available term.
| Term | Submit app by | Enroll by | Start courses |
| Spring 2026 | December 1 | December 22 | January 7 |
Fill out the fast app to begin your MS in Engineering Management degree today.
Engineering Management Pathway Courses
Take a look at the fast app performance-based pathway courses. Use the course outlines to start preparing in advance of the courses starting.
EMGT 6225: Economic Decision Making
Explores economic modeling and analysis techniques for selecting alternatives from potential solutions to an engineering problem. Considers measures of merit, such as present worth, annual worth, rate of return, and benefit/cost techniques. Examines recent techniques of economic analysis, especially the tools of decision making. Explores decisions under uncertainty. Studies the causes of risk and uncertainty, and examines ways to change and influence the degree of risk and uncertainty through sensitivity analysis, expectation-variance criterion, decision tree analysis, statistical decision techniques, and multiple attribute decision making through group case studies.
OR 6205: Deterministic Operations Research
Introduces the theory, computation, and application of deterministic models to represent industrial operations. Includes linear programming formulation and solution using spreadsheet and algebraic languages software; simplex, big-M, two-phase, revised simplex, and dual simplex algorithms for solving linear programs; introduction to the theory of simplex, fundamental insight, duality, and sensitivity analysis; transportation, assignment, and transshipment problems; shortest path, minimum spanning tree, maximum flow, minimum cost network flow problems and project networks; and discrete-state and continuous-state dynamic programming models and applications. Requires knowledge of linear algebra.
Resources
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