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Business Ph.D.

***WE ARE NOT ACCEPTING APPLICATIONS IN STRATEGIC MANAGEMENT FOR THE FALL 2015 TERM***

The Ph.D. Program in Strategic Management prepares students for success in research universities as faculty members specializing in Strategic Management.  Research in Strategic Management concerns how firms and organizations gain competitive advantage over rival firms or organizations.  The field emphasizes a blend of knowledge about economics, sociology and psychology to understand firm strategy and strategic decision making.  Important sub-fields within the discipline include research on developing firm resources, competitive interactions, relational governance, strategic decision making, innovation, entrepreneurship and organizational learning.  The field is increasingly focusing on research issues within the context of globalization and international business.  Research in the field is methodologically diverse yet rigorous by social science standards.

Area Coursework

1. BE 701: Managerial Economics OR BE 917: Advanced Managerial Economics OR ECON 700: Survey of Microeconomics
2. MGMT 905: Philosophy of the Behavioral and Organizational Sciences
3. MGMT 906: Behavioral Research Methods
4. MGMT 916: Seminar in Organization Theory
 

Major Coursework

5. MGMT 956: Economic Theories of Strategic Management
6. MGMT 957: Behavioral Theories of Strategic Management
7. IBUS 950: Research in International Management and Strategy
8. MGMT 998: Independent Study in Management
9. BE 917: Advanced Managerial Economics OR
MGMT 952: Strategic Human Resource Management OR
MGMT 953: Designing Effective Work Environments in Organizations OR
MGMT 954: Individual and Interactionist Perspectives of Organizations OR
MGMT 955: Creativity, Innovation, and Change in Organizations
 

Strategic Management Minor (Research Methods)

One of the two sequences below:
Sequence 1:
10. PSYC 790: Statistical Methods in Psychology
11. PSYC 791: Statistical Methods in Psychology II
12. PSYC 893: Multivariate Analysis
13. Advanced elective statistics course with advisor approval
Sequence 2:
10. DSCI 920: Probability for Business Research
11. DSCI 921: Statistics for Business Research
12. Advanced econometrics course with advisor approval
13. Advanced econometrics course with advisor approval
 

Program Requirements and Information

Area of Concentration
Most students typically will select the specific area to which they are admitted (strategic management) as their concentration. However, an aspirant, with the assistance of his or her faculty advisor and the area faculty, may propose an interdisciplinary area of concentration that is a combination of the traditional business disciplines of accounting, information systems, finance, human resource management, marketing, decision sciences, and organizational behavior. An aspirant may also propose an interdisciplinary area of concentration that includes emphases such as international business, law, and economics. The aspirant must take at least five advanced courses in the area of concentration. These courses may include those offered outside the School of Business.
Supporting Areas
Coursework in the area of concentration is supplemented and strengthened by study in one or two supporting areas. A supporting area is one that supplements and complements the area of concentration. The aspirant will satisfy the supporting area requirement by taking at least four advanced courses in the supporting areas (at least two courses in each of two supporting areas, or at least four courses in one supporting area). The typical supporting areas for decision science students are marketing, economics, finance, etc. Courses recommended for preparation for the qualifiers may not be included in satisfying the supporting area requirement.
Research Methodology
For successful qualifier assessment, the student’s program of study should include adequate preparation in research methodology. A sound research is always grounded on sound methodology. A doctoral student in decision science has the opportunity to develop methodological skill in probability and statistics, optimization, uncertain reasoning, game theory, and econometrics. A typical doctoral dissertation often utilizes one or more of the following research methodology: empirical, analytical, behavioral, and computational.
Degree Completion Timeline
Years 1-2: Coursework* Year 3: Comprehensive Exams Year 4: Dissertation Proposal Year 5: Dissertation Defense (Some students can complete the program in four years.)
Placements
Over the past several years, our PhD graduates have been placed at schools such as University of Nebraska-Lincoln, University of Delaware, University of Minnesota-Duluth, and San Diego State University. A complete list of placements can be found here.