Online Doctor of Engineering in Engineering Management
We are now accepting applications for the Doctor of Engineering Cohort to begin in January 2021. Applications must be received by November 16th 2020. Click here to view the program flyer. Click here to apply now.
The School of Engineering and Applied Science offers the Doctor of Engineering (D.Eng.) degree in Engineering Management in synchronous, online format with classes held on Saturdays. The D.Eng. program enables professionals who are employed full-time to pursue advanced study in a focused environment alongside like-minded fellow students. Applications are now being accepted for the next D.Eng. cohort, to begin in January 2021 with a target graduation date of December 2022.
What is the Doctor of Engineering?
The Doctor of Engineering in Engineering Management is designed for practitioners who wish to apply the knowledge they gain in a technical management environment. Unlike a Doctor of Philosophy (Ph.D.), wherein research is focused on foundational work that is published, the D.Eng. requires solving a real-world problem using the latest engineering management concepts and tools. The program culminates in a praxis for use by practicing engineers to address a common concern or challenge.
Program Learning Objectives
The objectives of the Doctor of Engineering in Engineering Management are to ensure that graduates:
- Understand and apply the process of engineering management research to solve a real-world problem using current engineering management concepts and tools.
- Produce a praxis for use by practicing engineers to address a common concern or challenge.
- Apply their expertise and knowledge gained during their studies in a management or technical environment.
The program consists of 30 credit hours of coursework (10 courses), and a minimum of 15 credit hours of research. During the research phase, a praxis is successfully completed on a topic related to engineering management, chosen by the student and approved by the advising committee.
Students complete ten graduate-level courses, all taught via distance learning technology on Saturdays. Courses cover such topics as data analysis, machine learning, risk management, and cyber resilience. Each class meeting is three hours long and course sessions last ten weeks. Class attendance is expected; classes are recorded for future viewing. Morning class meets from 9:00am-12:00pm Eastern Time and afternoon class meets from 1:00-4:00pm Eastern Time. Throughout the program, classes must be taken in lock-step with the cohort and cannot be taken out of sequence.
In this phase, the student develops a praxis on a suitable topic chosen by the student and approved by the advising committee. The faculty advisers hold regularly-scheduled online meetings with the students. Throughout this phase, the student conducts the literature search and develops the praxis.
Upon successful completion of the classroom phase, students will be registered for 6 credit hours of EMSE 8199 Praxis Research in each Spring (January-May) and Fall (September-December) semester, and 3 credit hours of EMSE 8199 in each Summer (June-August) semester. Students who are making satisfactory progress may be granted up to one additional year to complete their degree requirements. In such a case that student will be registered for the same number of credit hours as described above.
Samples of recent praxis titles:
Planning for the Influence of Emerging Disruptive Technologies on IT Systems
Managing Risk as a Function of the Nuclear Work Model
Pre-Design Methodology for Establishing Scope-Budget and Scope-Duration Alignment for Capital Projects
A Technology Maturity Assessment of Sustainment-dominated Systems Under the Influence of Obsolescence
Cross-Domain Knowledge Management Strategy for a Mission Areas within the Force Projection Sector
Application of Multi-Criteria Decision Making Methods to the DLA Energy Military Construction Portfolio Selection Process
Improving Team Performance By Identifying Significant Attributes Required In A Knowledge Management Solution for Fast Paced Research Teams
Ranking of Cloud Service Providers Using a Dynamic TOPSIS Model for Provisioning of Enterprise IT Infrastructure in the Cloud
Graduation and Scholarship Requirements
To meet graduation requirements, D.Eng. students can have no grades below B-, and must complete the classroom phase of the program with a GPA of 3.2 or higher. If a doctoral student receives any grade below B-, graduate study is terminated and further enrollment is prohibited.
For more information about program tuition and financial aid for the Doctor of Engineering (D.Eng.) program, please click here.
For more information on applying for this program click here
To download the current Program flyer click here
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