Doctorate Program (Ph.D)


Students can register in the PhD Program at either Blacksburg or Greater Washington DC Area Campus. For a quick review of the PhD Program, click here.

The target population of incoming direct PhD students is expected to be from undergraduate nuclear engineering programs as well as the general undergraduate engineering and physics pool. However, the target population for Master's to Ph.D. will be from Master's level nuclear engineering programs. Recruitment efforts will also focus on having the best M.S. nuclear engineering students at Virginia Tech continue on to obtain their Ph.D. Emphasis will be placed on recruiting a well-qualified, diverse background (gender, race, disabled, etc.) of students into the nuclear engineering program.

In the process of earning his/her degree, a Ph.D. student gains a deep knowledge of the nuclear engineering subject matter and independently carries out a comprehensive research project. Accordingly, each student's curriculum will be specifically tailored by his/her Advisory Committee within the requirements listed below.

Earning a Ph.D. in Nuclear Engineering requires the completion of a minimum 90-credit-hour program. A cumulative GPA of 3.0 ("A" = 4.0) is required for all coursework taken at the University. This policy is consistent with Mechanical Engineering department policy and University policy. No grade below B is allowed for any Ph.D. core course. Failure to earn a grade of B in a Ph.D. core course requires retaking the course.

The 90 credit-hours are made up of (1) 30 graded credit-hours of coursework consisting of Master's-level core courses and required Ph.D. core courses (see Sample Plan of Study), (2) 30 credit-hours of research, and (3) 30 credit-hours of enhancement courses which may consist of either research credits or graduate-level courses taken from any unit of the University.

Degree Requirements

Admission Requirements


Basic particle transport concepts. Random processes, random number generation techniques, fundamental formulation of Monte Carlo, sampling procedures, and fundamentals of probability and statistics. Monte Carlo algorithms for particle transport, non-analog Monte Carlo method



*check with the instructor for availability

More Information

Contact: Ms. Allison Jones (Program Coordinator), or
Prof. Alireza Haghighat (Program Director)

Do you want to apply?
Fill-out the on-line application.