Why Choose Florida?
What makes the University of Florida a great place to earn your Ph.D. in Management? Three factors are particularly important: the productivity of our faculty, our student-focused climate, and the cutting edge training that students receive.
When it comes to gaining research skills, Ph.D. students learn by doing. Having a productive faculty gives students more opportunities to get involved in projects and more opportunities to build their research portfolio. A joint study by Texas A&M University and the University of Florida showed that our faculty has published 30 articles in top Management journals from 2009 to 2013. Given the size of our faculty, those numbers rank Florida as one of the most productive departments in the country.
Having a productive faculty only benefits Ph.D. students when students are included in that productivity. At Florida, students are encouraged to join research projects from day one. As they progress in the program, their responsibilities deepen to the point where they can become the ones who suggest research topics, craft manuscripts, and manage the review process. Moreover, students are not merely expected to contribute to the existing research streams of the faculty. Instead, the faculty are willing to explore new and emerging areas that are of interest to Ph.D. students. Our current students work on many projects with our faculty, all geared towards publication in top tier journals.
Of course, the education itself is also a core component of any Ph.D. program. At Florida, Ph.D. coursework occurs during the first two years of the program. It includes variety of departmental seminars, covering research methods, micro content areas, and macro content areas.
- Research Methods in Management
- Introduction to Organizational Behavior
- Motivation and Attitudes
- Groups and Teams
- Affect and Cognition
- Process of Strategic Management
- Content of Strategic Management
Coursework also includes statistics classes outside the department, with the specific set tailored to students' backgrounds and interests. Some of the options for those classes include:
- Statistics I
- Statistics II
- Structural Equation Modeling
- Hierarchical Linear Modeling
- Social Networks
- Econometrics I
- Econometrics II
- Quasi-Experimental Design
- Theory of Measurement