Program Description/Overview
The program is designed to provide a multidisciplinary and global perspective for managers and leaders to improve their practical and theoretical capabilities to create new knowledge and apply it to create innovation and solve problems in organizations in the 21st century.
The program encourages an interdisciplinary and trans-disciplinary approach integrating ideas from Business, Management, the Humanities and the Behavioral, Social and Health Sciences. The program prepares students for advanced positions in management or consulting as well as academic positions in teaching, research or administration in Higher Education institutions. Students will learn in classes with their professors and they will also engage in extensive self-learning and collaborative learning opportunities such as the research labs.
This program has a strong focus on diversity and on international competencies, with professors and students having diverse backgrounds and coming from different countries. Cohorts in the program include accomplished professionals who are working in successful positions and some have successful international backgrounds. This creates a network of professionals that enhances life-long career opportunities of the graduates. Students attend conferences, engage in projects of a consulting nature, and publish, either writing books or conference papers or research articles which further enhances their professional stature.
It is expected that this program will take a minimum of three (3) years full-time study, however, a more practical time frame is four (4) years if students are not able to take classes full time when offered.
Emphasis/Concentration/Tracks
Information and Data Science
This specialization is geared towards students with a focused interest in understanding and contributing to knowledge creation within the broad and contemporary field of data revolution. Data science can be researched from a quantitative, programming and applied perspectives. The specialization emphasizes research in the data and information science areas from the applied perspective of impacting organizational, management and competitive perspectives. The program will also provide experience in important, business related data-science problems in diverse fields including ethical and societal considerations surrounding data science and its applications.
Management
This specialization prepares students with broad based foundational skills for academic research, consulting and corporate positions in organizations. The specialization is geared towards students with an interest in understanding and contributing to knowledge creation within the fields of strategy in the context of US as well as the global context, leadership, management, growth and competitiveness, organizational development and theories. Students learn emerging theories and research issues to develop solutions to complex management problems.
Marketing
This specialization is geared towards students with a broad range of interests including but not limited to the organizational strategy of firms, managing and growing organizations, and behavior of employees, teams and groups, strategies for political and social influence and organizational learning and adaptation. Doctoral candidates in this specialization will be able to create new knowledge for application in the real-world to the evolving needs of complex global organizations and their management. They learn and research theory and application, leading them to impact management practices across the globe.
Program Learning Outcomes/Goals
- Develop research-based solutions in complex environments using discipline-specific theory in an area of specialization.
- Conduct scholarly literature review relevant to business decision-making in an area of specialization.
- Demonstrate understanding of multicultural and international issues influencing success of solutions in organizations.
- Analyze and research contemporary business problems using appropriate qualitative and quantitative methods, tools, or techniques.
- Contribute knowledge by utilizing data and interdisciplinary understanding for identifying business problems and developing solutions that may lead to highly functioning and sustainable organizations.
- Demonstrate ethical and professional skills for leadership roles in academia, consulting or business organizations.
- Demonstrate competence in interpersonal communication in virtual, cross-functional and/or interdisciplinary teams.
Training Model
This is an applied doctoral degree and graduates work in academia, corporations, not-for-profits, consulting agencies upon graduation. Accordingly, the program ensures comprehensive coverage of the body of knowledge and skills needed for graduates to perform successfully in academia as well as corporations and other organizations. The curriculum is a focused, rigorous program with a business and management emphasis as well as a research orientation.
Students must demonstrate an ability to work independently with initiative and diligence to design and implement an empirically grounded and theoretically significant contribution to their field. This is accomplished under the mentorship and supervision of a Doctoral Chair and Committee.
Programmatic Accreditation
The program is accredited by Accreditation Council for Business Schools and Programs (ACBSP), which is a globally recognized accreditation body for business and management area programs.
Internship, Practicum, and/or Dissertation Information
In addition to the classroom instruction, on-ground students get real-world experience in real client contexts. This is designed to provide students with in-depth supervised practical learning experiences. These experiences are designed to expose students to learning experiences within the program that require them to apply theory and models to real academic, organizational or non-profit settings. This is achieved through a variety of learning experiences designed to develop professional practice related skills in student’s areas of study or specialization. DBA ground students may engage in internship experiences. DBA online students will engage in research projects. In cases where a student in the ground program is unable to secure an internship site, another option such as an applied project will be made available to ensure they meet the course requirements supervised by the instructor.
The DBA on-ground program requires practical training to all domestic and international students from the start of the program continuing through all courses except dissertation research. Practical training can be part time (less than 20 hours a week) or full time (more than 20 hours a week), paid or unpaid. International students should see guidelines from International Office regarding details of FT and PT practical training (see Curricular Practical Training section).
Approval of practical training sites: Program Director or Faculty Internship/Project Coordinator will have final approval, which is required each term. Detailed procedures for approval of a practical training site and the training details will be provided by the program. International students will meet the International Office and the PDSO for guidance and approval.
Credit Units
Total Credit Units: 60
Total Core Credit Units: 45
Total Elective Credit Units: N/A
Total Concentration Credit Units: 15
Degree Requirements
Students must pass a comprehensive exam to ensure qualified doctoral candidacy.
Emphasis/Concentration/Track Requirements
Information and Data Science
Curriculum Plan
The following curriculum plan is a sample and serves only as a general guide. Curriculum plans and course sequence are subject to variation depending on a student’s start term and other factors such as student course demand. Students must complete all coursework required for their program as set forth in their individual master plan of study.
Term 6 (3 units)
- Specialization Course 4 (3 units) - not Qualitative and Survey Research
8-Week Calendar (On-ground)
Term 6 (3 units)
- Specialization Course 4 (3 units) - not Qualitative and Survey Research