Master of Science in Engineering Management

Over the next decade, 3.8 million manufacturing jobs will likely be needed, and 1.9 million are expected to go unfilled if more people do not pursue modern manufacturing careers.

Source: National Association of Manufacturers

How data analysis is transforming the field of engineering management.

As a discipline, engineering management involves designing, operating and continuously improving high-tech enterprises through technical and management knowledge. Beyond achieving a project’s desired goals, such as completion, engineering management is equally focused on quality and efficiency and—now more than ever—data.

With the rapid development of Gen AI, the amount of data employed in engineering management and systems is staggering—and, as importantly, increasing by the second. For engineering firms, these developments have led to improvements in operational efficiency, product design, manufacturing and maintenance.

But in order to capitalize on this opportunity, the industry needs smart engineering managers who can use Gen AI and data-informed decision-making to continuously improve modern engineering operations. That’s where CSUN’s M.S. in Engineering Management comes in.

This program explores Russ Ackoff’s well-known model: Data, Information, Knowledge and Wisdom (DIKW). This model is ideally suited for engineering management students, as it ties in with managing and supervising data-informed technical projects. The acronym, DIKW, is the thrust of the model, with data leading to information which then leads to knowledge and, finally, to wisdom. This is where the engineering manger’s technical expertise comes into play, marrying new skills and data with time-tested practical abilities.

In this program, students will acquire both, gaining a mastery of data as well as an expansive skillset of technical and managerial capabilities—a perfect match for today’s industry.