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The Ph.D. in analytics has five learning objectives aimed at training candidates to perform research consistent with the college’s mission to generate nationally and internationally recognized outcomes that improve the world.

  1. Gain deep knowledge of the literature and developments in a specific area within analytics in order to further the field’s appropriate methodological tools.
  2. Fulfill the growing need for faculty that can teach business analytics at the undergraduate and graduate levels.
  3. Conduct research that addresses real-world problems using quantitative and methodological models to visualize and interpret data.
  4. Develop and test research hypotheses by acquiring data from primary and secondary sources.
  5. Clearly communicate research findings and be able to present work at national and international conferences.


The Ph.D. in analytics requires 48 credit hours of coursework, excluding dissertation hours. Students with adequate preparation prior to starting the program may be able to reduce the requirement by as many as 15 hours.

General Prerequisites 0 credits
  • Technical Writing
  • Computer Programming

Prerequisites must be completed prior to the start of the first fall semester. The courses do not count towards credit hours and can be undergraduate level, graduate level and approved Coursera courses.

Business Analytics Prerequisites 15 credits
  • BZAN 550 – Capstone
  • BZAN 552 Multivariate and Data Mining Techniques
  • BZAN 553 Design of Experiments

Students who have completed graduate level courses similar to these courses can request to have them waived. They courses do not have to be completed at UT. The total credits required will be reduced accordingly.

Application Electives 6 credits
Choose from courses in economics, information systems, finance, marketing, etc.
Required Courses (33 Credits)
Ph.D. Core 15 credits
  • BZAN/STAT 610 Probability and Stochastic Processes
  • BZAN/STAT 615 Statistical Inference
  • BZAN 620 Prescriptive Analytics
  • BZAN/STAT 625 Bayesian Modeling and Computations
  • BZAN 630 Decision and Operations Analytics
  • Research Apprenticeship (3 credits)
  • BZAN 691 Research Apprenticeship
Concentration – Choose 3 9 credits
  • BZAN 640 – Advanced Prescriptive Analytics
  • BZAN 641 – Advanced Stochastic Analytics
  • BZAN 642 – Advanced Supply Chain Analytics
  • BZAN/STAT 645 – Advanced Topics in Data Mining
  • BZAN/STAT 646 – Modern Multivariate Techniques
  • BZAN 647 – Customer Analytics
  • BZAN/STAT 648 – Advanced Topics in Design of Experiments and Linear Models
  • BZAN 649 – Observational Studies and Causal Models in Business Analytics
  • BZAN 683 – Special Topics in Business Analytics (1-3 credits)
Other courses 6 credits
  • BZAN 650 Integrative Business Analytics Seminar
  • BZAN 671 Independent Study