Fast Facts

Facts
  • College: Engineering and Computer Science
  • Department: Manufacturing Systems Engineering and Management
  • Program Mode: Online
  • Program Format: Cohort
  • Program Duration: 2 years
  • Financial aid available
  • No GRE Required

Fall 2027 Application Priority Deadline

Program Deadline
March 16, 2027
Final Application Deadline:
June 1, 2027
Application Open Application open
Cohort Limited to 42 Students

About This Program

CSUN’s Master of Science in Engineering Management provides you with the leadership training and technical expertise to manage high-level engineering projects, teams and resources.

Our two-year program combines the convenience of online learning with dynamic collaboration and research opportunities. In addition to robust technical and management training, the program includes advanced study of data analytics to improve your ability to use data in a variety of contexts. The M.S. in Engineering Management program builds a wide variety of skills including decision analysis, project management, quality management and supply chain management—all of which are necessary for today’s manufacturing industries. Modern manufacturing has evolved beyond traditional floor-level fabrication of products into complex, data-intensive socio-technical systems. CSUN’s program provides the analytical rigor required to evaluate capital investments in automation, evaluate trade-offs under market uncertainty, and justify equipment lifecycle costs. The project management and technical entrepreneurship skills students acquire enable organizations to rapidly commercialize innovations, adapt to agile production shifts and translate advanced research into scalable, competitive factory operations. The execution of these complex manufacturing operations, in which customer satisfaction is of utmost importance, needs expertise in quality management, supply chain management and data analytics—all of which students develop through the M.S. Engineering Management program. Training in Generative Artificial Intelligence (Gen AI) is included throughout the program, as knowing how to use Gen AI in manufacturing can increase the efficiency of processes and reduce costs—making it a skill set top employers are seeking.

Employers such as Boeing, Northrop Grumman, Lockheed Martin, So Cal Gas, So Cal Edison, Rivian, Lucid, Tesla, Amgen and Medtronic are hiring graduates like ours with strong technical skills and a comprehensive understanding of data analysis. CSUN graduates complete the program with the skills necessary for roles ranging from major manufacturing to big tech.

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Alongside other engineers, you’ll learn how to:

  • Manage diverse engineering projects
  • Lead technical teams
  • Analyze and use data of all sizes
  • Introduce sustainable innovations
  • Optimize production, manufacturing and more

Through practical, data-driven curriculum, you’ll learn how to manage:

  • Supply chains
  • Big data
  • Emerging technologies
  • Industrial manufacturing
  • Complex systems
  • Cross-functional engineering teams

Learn more about the engineering management industry.

Data-informed Learning

Coursework in the M.S. in Engineering Management program has an innovative focus on data analytics and includes lectures, classroom activities, online modules and hands-on assignments as well as in-class discussions so students understand how to apply the various concepts learned to real-world industry projects. Students move through the program with a dedicated cohort of fellow engineers and collaborate with expert peers on a capstone research project that applies skills gained in the program to complex, real-world issues.

Additionally, the Engineering Management program also has students from various undergraduate majors and working in different industries, thereby contributing to a better learning environment by creating a great level of cognitive diversity that the students bring to the discussions based on their relevant backgrounds.

The general option includes dynamic courses on:

  • Decision-making in engineering projects
  • Leadership training and technical skills
  • Contemporary topics in engineering management including entrepreneurship and intrapreneurship, and operations management
  • Data analytics for management of technical projects
  • Data-based knowledge discovery and visualization
  • Understanding of data visualization from an engineering-management perspective.

Job Outlook: Engineering Management

A booming field, engineering management is at the forefront of emerging markets from big tech to major manufacturing. Companies are aggressively recruiting and compensating well-educated engineering managers.

In recent years, the job market for engineering management has grown significantly, in both size and pay.

45,926 unique postings that required a master's degree between July 2025 and July 2026
$181,542.40 average annual earnings for Engineering Managers as of 2026
$20,000 – average earnings increase for master’s graduates in engineering management over those who hold only a bachelor's degree.
Engineering, Computer Science and Technical

What Do Engineering Management Graduates Do?

This program opens the door to a range of exciting career opportunities, including—but not limited to—the ones listed below:

  • Industrial Production Managers
  • Engineering Managers
  • Regulatory Affairs Managers
  • Technical Program Managers
  • Program Directors
  • Project Engineers
  • Project Coordinators
  • Directors of Engineering
  • Analytics Engineers
  • Automation Managers
  • Manufacturing Engineers
  • Sales Engineers
Two engineers, male and female, are looking at the laptop screen.

Education with Impact

As a discipline, engineering management involves designing, operating and continuously improving manufacturing and supply-chain logistics for high-tech enterprises. Beyond achieving desired project goals and meeting customer requirements, the field of engineering management is equally focused on quality, sustainability, efficiency and now more than ever, data. The role of data analytics and the use of Gen AI in manufacturing are pivotal in driving the industry towards smarter, more responsive and efficient operations.

With a CSUN master’s degree, you will expertly manage personnel through core leadership built on innovation and decisiveness and understand how to use data to improve performance and outcomes of the manufacturing process or of services rendered to an organization's customers.

Learn the Field From Anywhere, at Any Time

Our program’s convenient online platform includes asynchronous, on-demand course modules, as well as live class sessions and daily networking opportunities.

CSUN is a pioneer in online education with more than 25 years of innovation in developing engaging online degree programs and supporting students from application to graduation and beyond. 

View all programs - Why CSUN online

Meet Your Faculty

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EM-Bill Bellows
Bill Bellows
Ph.D.
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EM-Dale Deardorff
Dale S. Deardorff
Ph.D., M.S., M.A.
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Gus H. Elias
Gus H. Elias
M.S.
Lecturer, Department of Manufacturing Systems Engineering and Management
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Brian Galli
Brian Galli
Ph.D.
Adjunct Faculty

Get Personal Support

Throughout the program, you’ll receive the one-on-one support of a team dedicated to your personal and professional success. Whether it’s enrollment, grading or financial aid, our team of experts help you stay on track towards graduation.
Technical Support

Career Connections

As a CSUN graduate, you become part of an extensive network of over 435,000 alumni—an invaluable source of support for your professional success.

CSUN's M.S. in Engineering Management graduates have built successful careers in these organizations and many others: Boeing, Northrop Grumman, Lockheed Martin, So Cal Gas, So Cal Edison, Rivian, Lucid, Tesla, Amgen and Medtronic.

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