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The Doctor of Philosophy (Ph.D.) focuses on developing the necessary skills to perform and evaluate rigorous research. Graduates are prepared for careers in teaching and research at academic institutions as well as in other public and private organizations characterized by innovation and technological leadership. The program blends highly theoretical with more applied or pragmatic research. The fields of research supported by the program are defined by the diverse specializations of the department faculty. Students in the Ph.D. program work closely with faculty to develop world-class expertise in their chosen fields of research. Advising faculty expect doctoral students to become collaborators, supporting the faculty's research agenda, and contributing towards their research goals.
The complete program is available through Old Dominion University’s distance learning program
Courses are scheduled in the evenings
Nine-time recipient of American Society for Engineering Management (ASEM) Excellence Award
Collaborative environment built on the unique relationship between the faculty advisor and the doctoral student
Students are placed with an advisor with expertise in the student’s research area
A high degree of flexibility is provided to customize the plan of study, taking into account the diversity in the fields of study, the multidisciplinary nature and variety of research that is undertaken
Graduates from this major have gone to work at
The course covers general topics that are necessary for project execution. This includes problem scoping, data collection, hypothesis formulation and testing, experimentation, testing and evaluation, qualitative analysis, quantitative analysis, and validation methods.
Introduction to modeling multivariate structural and residual variation, using exploratory data analysis, nonparametric regression, dependence regression, and factor analytic models, with a goal of producing robust, generalizable multivariate models that support research findings. Statistical analyses will be performed in the free general public licensed R statistical software with references to Minitab and SPSS. Prerequisite: ENMA 420.
The objectives of the course are to provide fundamental knowledge and skills of Big Data for the new generation of researchers, engineers, project managers and business managers in the emerging data-driven science and engineering paradigm. Topics to be covered include data analytics, cloud platforms and tools for Big Data, and innovative applications of Big Data.
Students entering the Doctor of Philosophy program in Engineering Management & Systems Engineering should meet the minimum university admission requirements (Graduate Admission)
Admission to the Ph.D. program is competitive. The admission process is designed to select applicants that have a strong alignment between their own research interests and an area of specialization of one of the faculty. The best-qualified applicant or applicants for an area of specialization are then selected.
The number of students admitted into any faculty's area of specialization is dependent on the faculty's projected ability to advise additional doctoral students. The selection is based on the applicants' academic history, maturity in the development of research capabilities, and proficiency in specialized skills demanded by the research area.
In addition to general University admission requirements, which include English language proficiency for international students, applicants must have:
A master's degree or equivalent with a grade point average of 3.50 in an appropriate field from an accredited institution of higher education
An undergraduate degree with a GPA of 3.0 or higher from an ABET-accredited program in engineering or engineering technology, or from an accredited program in applied science
Estimated rates for the 2021-22 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
Here are a few ways for you to save on the cost of attending ODU. For more information visit University Student Financial aid
Financial aid is available to graduate students at Old Dominion University. Financial aid may be available in the form of University fellowships, tuition grants, and research assistantships. In addition to the financial aid offered by the University, graduate students may be eligible for aid and student loans administered by other agencies. For information about part-time employment, scholarships, and student loans, contact the Office of Student Financial Aid.
Our enrollment coordinators are ready to help you through the admissions process.
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2101 Dragas Hall, Norfolk, VA 23529