Doctorate in Business Administration (DBA)

Major: Business Administration
Degree Awarded: Doctorate in Business Administration (DBA)
Calendar Type: Quarter
Total Credit Hours: 60.0
Classification of Instructional Programs (CIP) code: 52.0101
Standard Occupational Classification (SOC) code:
11-1021

About the DBA

The Doctorate in Business Administration (DBA) is a part-time executive doctoral program designed to equip executives and senior managers with scientific methods to address complex industry and organizational challenges. The program integrates and leverages Drexel’s 120+ year history of experiential learning to provide a broad theoretical perspective of current business issues as well as a strong foundation in applied research and analysis to enrich critical knowledge, skills, and abilities. Through an integrative framework of empirical exploration and evidence-based decision making, executives learn the “science of business” and develop successful data driven strategies and solutions that can be applied to their respective organizations.

The DBA cohorted format enables candidates to complete the program in 2.5 years (10 consecutive quarters), using a lockstep executive residency and online model. DBA candidates complete a minimum of 60.0 credits beyond the Master's degree. As part of the accelerated nature of the program and focus on complex business challenges, the program employs a mentored dissertation model. It is expected that applicants will have a minimum of 10 years of industry and/or leadership experience.

Program Highlights

  • 2.5 Year, Part-time, Cohorted Executive Program
  • Executive Residency Format with Online Components
  • 16 Courses, 60 Credits post-Masters
  • Mentored Dissertation Model
  • Integrated, Cross-Disciplinary Course Work
  • Drexel DBA Faculty Collaboration from Management, Marketing, Decision Sciences and MIS, Accounting, Economics, Finance, Design, Biomedical Engineering, and Psychology

DBA Learning Outcomes

Upon degree completion, graduates of the DBA program will be able to...

  • Demonstrate knowledge of both theoretical and applied business research methodology. 
  • Integrate knowledge from business and non-business disciplines to generate novel ideas, strategies, and practical approaches to address business issues faced by senior leadership in organizations.
  • Demonstrate mastery of scientific inquiry methods that examine empirical support for theoretical frameworks as applied to business problems.
  • Demonstrate an ability to address complex industry challenges using frameworks of empirical examination that build prescriptive conclusions and real world knowledge.

Admission Requirements

The DBA provides a broad theoretical and practical perspective on current business issues as well as a strong foundation in applied research and analysis. The LeBow College of Business seeks applicants with a minimum of 10 years of senior industry and/or leadership experience, exceptional ability and the motivation needed to successfully complete the DBA. Admission into this part-time cohorted program requires a Master’s degree and is highly selective. 

In reviewing an applicant's credentials, the DBA admissions committee will consider:

  • Completed Application Form 
  • Prior Academic Accomplishments:  All course work taken prior to application will be reviewed. Applicants should have attained a minimum grade point average of 3.3 (on a 4.0 scale) for all graduate course work completed.
  • Graduate Management Admissions Test (GMAT) or Graduate Records Examination (GRE):  DBA applicants are not required to submit scores from either the GMAT or GRE. However, individuals who have taken these exams prior may forward their scores in support of their application.
  • Personal Statement: Explain how the applicant's educational and personal experiences have influenced the decision to pursue a DBA, professional objectives in attaining a DBA, and the applicant’s strategy (time, effort, and organizational and family support) to excel in the program.
  • Essay(s): Please reference the program webpage for specific essay(s) requirement for the application.
  • Letters of Recommendation: Two letters of recommendation must be submitted in support of the application. Applicants are strongly encouraged to seek recommendations from professionals who can assess the applicant's likelihood of success in an executive doctoral program.
  • Current Resume or CV:  Include relevant industry positions, achievements or research.
  • Interview: Upon request of the DBA admission committee, selected candidates will be requested to participate in an admissions interview.

Admission Procedures
The DBA Program admits students each fall. To be considered for admission, the completed application must be received by the LeBow College of Business Office of Graduate Admissions no later than April 15th. It is the applicant's responsibility to ensure that all transcripts, essays/personal statements and letters of recommendation, as well as the application form and fee, are received by Drexel University by this deadline.

Degree Requirements

Required Courses
BUSN 910Applied Organizational Theory4.0
BUSN 911Challenges of Data Driven Economy4.0
BUSN 912Corporate Growth and Risk Strategies4.0
BUSN 913Driving Innovation and Design4.0
BUSN 914Navigating the Changing Business Environment4.0
BUSN 921Applied Behavioral Research 4.0
BUSN 922Applied Statistical Analysis and Inference4.0
BUSN 923Qualitative Inquiry Methods4.0
BUSN 924Analyzing Quantitative Data4.0
BUSN 941Dissertation Research, Applied Methodology Workshop4.0
BUSN 942Dissertation Research, Data Collection Strategy4.0
BUSN 943Dissertation Research, Literature Review and Proposal Defense4.0
BUSN 944Dissertation Research, Data Collection Process4.0
BUSN 945Dissertation Research, Data Analysis4.0
BUSN 946Dissertation Research, Discussion and Contribution Chapter3.0
BUSN 947Dissertation Research, Final Defense1.0-9.0
Total Credits60.0-68.0

Dissertation 

DBA candidates are required to complete and submit doctoral dissertation for committee approval. The dissertation is an integral part of the DBA program and serves as a demonstration of academic excellence in applying the science of business with all its expected rigor to an important problem of interest to the industry, as well as providing insight based on theory and supported by appropriate methodological and statistical rigor.

The dissertation process is comprised of a series of lockstep courses, culminating in two major milestones: defense of the proposal and defense of the completed research. The dissertation will need to show relevance, be tied to appropriate scientific literature, and have appropriate methodology and analysis to support the conclusions. Each student will be assigned a dissertation chair, who will guide the student through the process starting in year one, and committee who will evaluate the proposal and the completed research. Both proposal defense and completed research defense must attain a passing grade for the degree to be conferred. There are no qualifying or candidacy exams.

Sample Plan of Study

First Year
Term 1Credits
BUSN 910Applied Organizational Theory4.0
BUSN 921Applied Behavioral Research 4.0
 Term Credits8.0
Term 2
BUSN 911Challenges of Data Driven Economy4.0
BUSN 922Applied Statistical Analysis and Inference4.0
 Term Credits8.0
Term 3
BUSN 923Qualitative Inquiry Methods4.0
BUSN 941Dissertation Research, Applied Methodology Workshop4.0
 Term Credits8.0
Second Year
Term 4
BUSN 912Corporate Growth and Risk Strategies4.0
BUSN 924Analyzing Quantitative Data4.0
 Term Credits8.0
Term 5
BUSN 913Driving Innovation and Design4.0
BUSN 942Dissertation Research, Data Collection Strategy4.0
 Term Credits8.0
Term 6
BUSN 914Navigating the Changing Business Environment4.0
BUSN 943Dissertation Research, Literature Review and Proposal Defense4.0
 Term Credits8.0
Term 7
BUSN 944Dissertation Research, Data Collection Process4.0
 Term Credits4.0
Third Year
Term 8
BUSN 945Dissertation Research, Data Analysis4.0
 Term Credits4.0
Term 9
BUSN 946Dissertation Research, Discussion and Contribution Chapter3.0
 Term Credits3.0
Term 10
BUSN 947Dissertation Research, Final Defense1.0-9.0
 Term Credits1.0-9.0
Total Credit: 60.0-68.0

Course Descriptions

BUSN 910     Applied Organizational Theory 4.0 Credits

The course provides an interdisciplinary and integrative understanding of various theoretical perspective on how to organize effectively. Theories, research and practice from the areas of strategic management, organizational behavior, human resource, management, MIS and marketing will be explored for ways to leverage both internal and external data to compete in the 21st century economy and build business strategy and translate that into organizational knowledge strategy.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit

BUSN 911     Challenges of Data Driven Economy 4.0 Credits

This course explores the growing role of data in Business. It examines the critical skills and capabilities an organization needs for success, including leadership, culture, methods and tools for becoming data driven, while also balancing human judgment. Lectures, readings, cases, and guest speakers consider the impact and challenges of gathering, storing, analyzing and providing access to data to facilitate effective decision making.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 910 [Min Grade: B]

BUSN 912     Corporate Growth and Risk Strategies 4.0 Credits

This course will discuss competitive advantage aspects as they relate to organizational growth and risk management including in contexts related to intercompany relationships. Theories, research and practice from the areas of strategic management, organizational behavior, human resource, management, MIS and marketing will be explored to learn theories frameworks on corporate development and growth and risk management studies associated with such development and growth.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 910 [Min Grade: B] and BUSN 911 [Min Grade: B])

BUSN 913     Driving Innovation and Design 4.0 Credits

This course explores the latest thinking on competitive strategies for innovation, innovation culture, product design & design thinking, creative insights and stimulating creativity behavior and such measurements using an interdisciplinary approach.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 912 [Min Grade: B]

BUSN 914     Navigating the Changing Business 4.0 Credits

This course provides the foundation to apply current economic, consumer behavior and HR capital trends guided by scholarly based findings and analysis to apply to business issues in the new digital and global economy.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 913 [Min Grade: B]

BUSN 921     Applied Behavioral Research4.0 Credits

This course introduces behavioral research thinking. The course will provide an overview of applied behavioral research methodologies, including experimental, quasi-experimental, and survey research techniques. Students will learn the advantages of each methodology and when to apply it. Students will also be introduced to measurement theory, validity, reliability, and how to conduct research ethically. There will be detailed discussions on the data and how it was collected as well as hands-on demonstrations of the statistical methodologies that were applied. Students will learn what the statistical assumptions are, what the parameters mean, and how to practically interpret the results.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit

BUSN 922     Applied Statistical Analysis and Inference 4.0 Credits

This hands-on course provides an applied coverage of common statistics topics for students pursuing a doctorate in the behavioral sciences, demonstrated in the context of practical business decisions. It introduces different kinds of data and analysis options for the data. Focus is on a basic understanding of the theory behind common statistical techniques, knowing when and how to implement the techniques, and the ability to use statistical software where appropriate. Topics include descriptive statistics, probability theory, random variables, discrete and continuous probability distributions, sampling distributions, estimation, hypothesis testing, analysis of variance, & regression.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 921 [Min Grade: B]

BUSN 923     Qualitative Inquiry Methods 4.0 Credits

This course introduces students to approaches in social science and humanistic research known as qualitative inquiry. These approaches include ethnography, grounded theory, phenomenology, case study, and narrative research, and employ methods of interviewing, discourse/content analysis, and participation observation. Students will explicate studies that employ these approaches; discuss assumptions of qualitative inquiry; discuss standards of sampling, ethics, and validity, and design a qualitative research proposal.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 921 [Min Grade: B]

BUSN 924     Qualitative Data 4.0 Credits

This course introduces students to approaches in social science and humanistic research known as qualitative inquiry. These approaches include ethnography, grounded theory, phenomenology, case study, and narrative research, and employ methods of interviewing, discourse/content analysis, and participation observation. Students will explicate studies that employ these approaches; discuss assumptions of qualitative inquiry; discuss standards of sampling, ethics, and validity, and design a qualitative research proposal.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 922 [Min Grade: B]

BUSN 941     Dissertation Research, Applied Methodology Workshop 4.0 Credits

This applied methodology workshop focuses candidates on development of well-defined research questions, appropriate methodology approaches, outline of the Hypotheses, and elucidation about the Importance of the research topics.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit

BUSN 942     Dissertation Research, Data Collection Strategy 4.0 Credits

This applied dissertation research course focuses candidates on the development of well-defined data collection strategy. This may include, but is not limited to, analyzing archival data, designing the survey to be used, or determining how to use existing organizational changes in a quasi-experimental design to assess phenomena. This will include IRB permission as necessary.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 941 [Min Grade: B]

BUSN 943     Dissertation Research, Literature Review and Proposal Defense 4.0 Credits

This applied dissertation research course focuses candidates on the development of the literature review section that will be included in the dissertation. The literature review should present the theoretical background of the dissertation and support the propositions and hypotheses.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 942 [Min Grade: B]

BUSN 944     Dissertation Research, Data Collection Process 4.0 Credits

This applied dissertation research course focuses candidates on the development of the data collection process for the dissertation. The data can be collected through surveys, quasi-experimental designs, panel data, or any other source approved by the dissertation chair and committee.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 943 [Min Grade: B]

BUSN 945     Dissertation Research, Data Analysis 4.0 Credits

This applied dissertation research course focuses candidates on completing the data analysis for the dissertation. It is expected that the student will consult with the Dissertation Chair and professors on the appropriate analyses methods that should be applied.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 944 [Min Grade: B]

BUSN 946     Dissertation Research, Discussion and Contribution Chapter 3.0 Credits

This applied dissertation research course focuses candidates on completing the Discussion and Contribution chapter of the dissertation.

College/Department: LeBow College of Business
Repeat Status: Not repeatable for credit
Prerequisites: BUSN 945 [Min Grade: B]

BUSN 947     Dissertation Research, Final Defense 1.0 Credits

This applied dissertation research course focuses candidates on completing the Dissertation and after consultation and approval by the Dissertation Chair to submit it for Final Defense before the Committee.

College/Department: LeBow College of Business
Repeat Status: Repeatable for credit

Facilities

In fall 2013, LeBow College opened its 12-story, Gerri C. LeBow Hall, with a finance trading lab, behavioral studies lab and integrated teaching technology in all classrooms. The new building features two lecture halls, 15 classrooms of varying sizes and seating configurations, including case study rooms and cluster classrooms designed to facilitate group work. Other amenities consist of extensive areas of student spaces, including 12 collaboration rooms, two quiet study areas, and 3,500 square feet of student lounges. Gerri C. LeBow Hall brings together faculty, students and staff, in a state of the art building on the University City campus. Please visit the LeBow College of Business webpage to learn more about Gerri C. LeBow Hall.

DBA Interdepartmental LeBow Faculty

Murugan Anandarajan, PhD (Drexel University) Department Chair, Management; Department Head, Decision Sciences and MIS. Professor. Cyber crime, strategic management of information technology, unstructured data mining, individual internet usage behavior (specifically abuse and addiction), application of artificial intelligence techniques in forensic accounting and ophthalmology.
Hasan Ayaz, PhD (Drexel University). Research Associate Professor. Optical brain imaging, cognitive neuroengineering, brain computer interface (BCI), functional ner infrared (fNIR), and near infrared spectroscopy (NIRS).
Michaela Draganska, PhD (Kellogg School of Management, Northwestern University) Department of Marketing. Associate Professor. Advertising strategy, product assortment decisions, new product positioning, distribution channels. Marketing analytics and big data, marketing communications, marketing research, marketing strategy, technology and innovation.
David Gefen, PhD (Georgia State University) Provost Distinguished Research Professor. Professor. Strategic IT management; IT development and implementation management; research methodology; managing the adoption of large IT systems, such as MRP II, ERP, and expert systems; research methodology, eCommerce; Online Auctions; Outsourcing; SAS; Technology Adoption.
Michael Glaser, MFA (Ohio State University) Program Director for Product Design. Associate Professor. Quantifying the designer's intuition; the interplay between digital and physical forms; human desire to shape our surroundings.
Hubert Glover, PhD (Texas A&M University). Associate Clinical Professor. International financial reporting.
Michael Joseph Gombola, PhD (University of South Carolina) Department Chair, Finance. Professor. Stock offerings and repurchases, mergers, acquisitions, and restructuring; working capital management, time series analysis; options and derivatives, financial statement analysis.
Paul Harrington, PhD (University of Massachusetts, Boston) Director, Center for Labor Markets and Policy. Professor. Teen and young adult job access; economic outlook, college labor market; workforce development, planning, and development; vocational rehabilitation and job market transition.
Teresa D. Harrison, PhD (University of Texas Austin) Associate Dean, Academic Affairs. Associate Professor. Econometrics, public finance, industrial organization, empirical microeconomics including health and nonprofit organizations.
Yanliu Huang, PhD (The Wharton School, University of Pennsylvania). Assistant Professor. Consumer n-store decision making, consumer planning, health marketing, memory and learning.
John Kounios, PhD (University of Michigan) Director, PhD Program in Applied Cognitive and Brain Sciences. Professor. Cognitive neuroscience, especially creativity, problem solving, and cognitive enhancement.
Mary Mawritz, PhD (University of Central Florida). Assistant Professor. <em>Management Department</em> Abusive supervision; deviant behavior; leadership.
V. K. Narayanan, PhD (University of Pittsburgh) Delloitte Touche Jones Stubbs Professor. <em>Management Department</em> Cognition and Strategy; Corporate Entrepreneurship; Organization design
Prashant Srivastava, PhD (Oklahoma State University) Department of Marketing. Associate Clinical Professor. New product development, supply chain management, B2B marketing, sales, strategic alliances, organizational learning, market orientation, healthcare marketing, and database marketing.
Mark Stehr, PhD (University of California at Berkeley) Assistant Director School of Economics. Associate Professor. Health economics, health behaviors, public finance, public policy.
Rajneesh Suri, PhD (University of Illinois at Urbana-Champaign) Associate Dean for Research, Marketing Department. Professor. Pricing, promotions and branding.
George Tsetsekos, PhD (The University of Tennessee) Dean Emeritus, LeBow College of Business; Francis Professor of Finance. Professor. Valuation and corporate restructuring, treasury and risk/hedging operations, investment banking, securitization, emerging capital markets, multinational finance, bank asset-liability management.
Daniel Tzabbar, PhD (University of Toronto). Assistant Professor. <em>Management Department</em> Accessing and managing knowledge; Alliances; Human capital; Organizational learning and change; Social Capital; Technology Entrepreneurship; Technology Innovation
Jonathan C. Ziegert, PhD (University of Maryland). Associate Professor. <em>Management Department</em> Attitudes; Diversity; Groups/Teams; Leadership; Organizational Culture and Fit.
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