Doctor of Philosophy in
Business Administration (PhD-BA),
Information Technology

This course is an introduction to the PhD–BA and a foundation for further doctoral-level study in business. The PhD–BA degree is designed to encourage you to become a scholar-practitioner, using business theory to inform further scholarly inquiry and make a positive impact on business practices. You’ll examine requirements for the degree—including each milestone and deliverable—and develop a plan for achieving your academic and research goals. Adding to this preparation will be an examination of modern trends in business theory and a mindset transition from being a consumer of knowledge to being a producer of knowledge.

Students will analyze and apply knowledge in twelve different varieties of business-related situations. The focus is on demonstrating core proficiencies in the following business areas: marketing, business finance, accounting, management, legal environment of business, economics, business ethics, global dimensions of business, information systems, quantitative techniques and statistics, leadership, and business applications. The intent is not to introduce these core business concepts, but rather to verify a graduate-level competency in each. The course includes a comprehensive case study that allows you to demonstrate your capabilities in all twelve components.

* Required course for Evaluation Track students.

It’s important for scholar-practitioners to understand both the internal and external influences on business, i.e., the business environment. In this course, you’ll examine theories related to those environmental factors, including management, organizational behavior, marketing, business ethics, and international business.

The allied fields of economics, accounting, and finance are key areas where a highly knowledgeable leader can greatly contribute to business success. Financial professionals secure and manage the money needed to run a business; economists determine how markets will react in certain situations; and accountants provide analysis and accountability to the entire process. This course prepares you with the information fluency needed to understand the theories and practices related to these critical knowledge areas.

This course is an overview of the theories involved in strategic business planning. You’ll explore the difference between strategic thinking and strategic planning, how to choose the right strategy for a specific business, and how to design a strategic plan. You’ll also learn to analyze customers and the competition, asking key questions to help design and tailor the most effective strategic plan for a given business.

This course engages you in the process of scholarly literature reviews and academic writing. You’ll focus on (a) conducting effective literature searches, specifically in preparation for the dissertation, (b) developing a plan for writing critical, comprehensive, research literature reviews, and (c) critically reviewing and writing about theory/conceptual frameworks as a foundation for your own future research. The goal is for you to conduct an exhaustive search of peer-reviewed research literature on your chosen topic and identify potential areas of inquiry for your dissertation.

This course focuses on the statistical mindset and skills needed to perform and interpret univariate inferential statistics. The course builds your statistical confidence and abilities in assessing and performing statistics. You’ll explore univariate parametric and non-parametric statistical tests, interpretation of statistical output, and how to select statistical tests based on quantitative research questions.

An exploration of advanced statistical principles and how to apply them to quantitative research in the study of organizations. You’ll receive an overview of advanced statistical concepts used in empirical research (including inferential analysis), and you’ll perform advanced computations using common statistical software. The focus is on helping you build scholarly skills in understanding multivariate data, using and evaluating sophisticated statistical concepts, and presenting statistical results.

This course teaches you how to design quantitative studies, analyze the data collected, and interpret the results of data analyses. The goal is to explore designs and statistical techniques to use with your envisioned dissertation research.

An examination of qualitative methods for studying human behavior, including grounded theory, narrative analysis, ethnography, mixed methods, and case studies. The objective is to explore designs and methodologies to use with your envisioned research.

The Pre-Candidacy Prospectus is intended to ensure you’ve mastered your discipline prior to candidacy status, and that you’ve demonstrated the ability to design empirical research before moving on to your dissertation coursework. You’ll demonstrate your ability to synthesize empirical, peer-reviewed research to support all course assignments. The Pre-Candidacy Prospectus is completed only after all foundation, specialization, and research courses have been completed.

Students in this course will be required to complete chapter 1 of their dissertation proposal, including the following: a review of literature with substantiating evidence of the problem, the research purpose and questions, the intended methodological design and approach, and the significance of the study. A completed, committee-approved chapter 1 is required to pass the course. If you don’t receive approval to minimum standards, you’ll be able to take up to three supplementary 8-week courses to finalize and gain approval of chapter 1.

In this course, you’ll work on completing chapters 1-3 of your dissertation proposal and receiving committee approval for the dissertation proposal (DP). Chapter 2 consists of the literature review, while chapter 3 covers the research methodology and design, including population, sample, measurement instruments, data collection and analysis, limitations, and ethical considerations. Completed, committee-approved chapters 2 and 3 are required to pass the course, as is a final approved dissertation proposal. If you don’t receive approval to minimum standards, you’ll be able to take up to three supplementary 8-week courses to finalize and gain approval of  these requirements.

In this course, you’ll prepare, submit, and obtain approval of your Institutional Review Board (IRB) application. You’ll also collect data and submit a final study closure form to the IRB. If you’re still collecting data at the end of the 12-week course, you’ll be able to take up to three supplementary 8-week courses to complete data collection and file your IRB study closure form.

In this dissertation course, you’ll work on completing chapters 4, 5, and your final dissertation manuscript. Specifically, you’ll complete your data analysis, prepare your study results, and present your findings with an oral defense and a completed manuscript. A completed, committee-approved dissertation manuscript and successful oral defense are required to complete the course and graduate. If you don’t receive approval for either or both, you can take up to three supplementary 8-week courses to finalize and gain approval.

Visionary tech leaders ensure that technology aligns with strategy as organizations seeking competitive advantages look to evolving technologies. This course serves a dual role: to introduce you to your doctoral program, and to prepare you for executive leadership roles in organizational technology. You’ll practice visionary leadership by investigating how emerging technology can be used to solve existing organizational challenges or create a strategic edge. To conclude the course, you’ll apply what you’ve learned and scholarly research to find technology solutions that resolve challenging business scenarios.

In this course, you’ll explore emerging issues in computer network design and management. Specifically, topics surrounding mobile computing and how it’s changed network design and management will be examined in depth.

Data and databases are the foundation of all business systems. Organizations that don’t understand the importance of data management are less likely to survive in the modern economy. During this course, you’ll study advanced concepts of database management systems and data warehouses. You’ll also research processes and techniques for improving data repositories, manipulating data, and preventing data corruption. By course end, you’ll be able to construct, assess, and transform data for improved business intelligence and more informed business decisions.

A foundation of concepts related to security and cybersecurity, this course examines a full range of topics, from governance, to law compliance, to human risk, to technology. Various mitigation options are considered to reduce vulnerabilities, counter threats, and protect data and system assets. You’ll study the need to protect organizations from future exposures and apply critical thinking and synthesis to apply the resources needed to defend critical IT assets.

An advanced examination of the theories, concepts, and strategies for managing technology policies and implementing emerging technology in organizations. You’ll research the legal, technical, and managerial considerations needed to design an information technology governance structure. You’ll also formulate policies and strategies to manage the information technology landscape and implement realistic and effective plans to support corporate technology goals.