The PhD with a major in management science is designed to prepare students for research related to the application of analytical tools to complex decision making. Three primary objectives of the program are:

• To provide, through relevant course work, a thorough knowledge of common analytical models and their uses in business.
• To provide sufficient advanced study in a supporting area to qualify the graduate for a joint-faculty position in management science, business analytics, or any supporting area.  The candidate may choose from the business functional areas (accounting, finance, marketing, management, and supply chain management) or other disciplines (e.g., computer science, forestry, ecology, and public administration).
• To develop in the student, through course work in management science, statistics, operations management, and computer science, a high degree of analytical maturity to enhance a potential career in management, research, or teaching.

The PhD concentration in analytics will focus on research specifically aimed at applying analytical tools for modeling and analyzing data to support decision making in complex real world systems in business and industry.

Concentration (Optional)

Analytics

Campus Code

Knoxville Campus

Admissions Standards/Procedures

• In addition to any other admission requirements for the Graduate School:
  • Submit online graduate application to the Office of Graduate Admissions.
  • Submit three recommendation forms.
  • Submit a GRE or GMAT score.

Academic Standards

• Prerequisites for Management Science Courses. The management science program is interdisciplinary and students in other degree programs are encouraged to enroll in management science courses. Course prerequisites are designed to indicate the level at which courses are taught. Interested students whose prior course work does not match the prerequisites are encouraged to seek the instructor’s guidance and consent to enroll.

Credit Hours Required

72 graduate credit hours beyond a bachelor’s degree

48 graduate credit hours beyond a master’s degree

Required Courses

• Minimum Courses (15 credit hours)
  • BZAN 610  
  • BZAN 615  
  • BZAN 620  
  • BZAN 625  
  • BZAN 630  
• Applied Area (9 credit hours)
  • Normally selected from ECON, INMT, FINC, MARK, etc. and in consultation with the major professor.
  • For the Analytics Concentration, three courses are selected from the following (9 credits)
    • BZAN 640  
    • BZAN 641  
    • BZAN 642  
    • BZAN 645  / STAT 645  
    • BZAN 646  
    • BZAN 647  
    • BZAN 648  
    • BZAN 649  
    • BZAN 683  
• MGSC 600  (24 credit hours)
  • This effort, which is beyond the minimum 48 credit hours of course work, normally is completed in the third year of the program.

Additional Course Requirements

• A minimum of 48 credit hours of course work taken for graduate credit (exclusive of thesis or dissertation) is required.
  • Some of the credit hours may be the course work from a master’s program, although a master’s is not a prerequisite for the doctorate.
  • The candidate must complete a minimum of 24 credit hours of PhD course work (work beyond the masters) at the University of Tennessee, Knoxville
  • At least 18 credit hours of the PhD course work must be at the 600 level.
    • Above two requirements are exclusive of thesis or dissertation credits.
• Entering students who have completed graduate studies in applicable fields will be granted course credits for work that is equivalent to required courses in the program.

Non-Course Requirements

• Qualifying Examination
  • The student must demonstrate mastery of probability theory and stochastic processes (BZAN 610 ) and Bayesian modeling and computations (BZAN 625  / STAT 625 ) by passing a written qualifying examination.
    • These requirements generally are completed by the end of the first year of the program.
• There is no foreign language requirement.
• Comprehensive Examination
  • Prior to admission to candidacy for the degree, and normally after completion of the second year of the program, the student must pass a written comprehensive examination covering the theory of deterministic and stochastic management science models.
    • Topics included in this examination are determined on an individual basis.
    • Students will be expected to demonstrate an integrative ability that goes beyond simple mastery of course content.
• A final oral examination is conducted over the dissertation and such other segments of the program that the faculty committee deems appropriate.