Visionary technology leaders ensure that technology is aligned to organizational strategy. Organizations that seek competitive advantages look to evolving technologies for innovative use. This course serves a dual role to introduce you to your doctoral program and to prepare you for executive leadership roles for technology in organizations. You will practice visionary technology leadership by investigating technology and how emerging technology could be used to solve existing organizational challenges or to create a unique competitive advantage. Finally, you will synthesize information from the course by applying concepts to scenarios while supporting recommendations with scholarly research.

In this course, students will explore emerging issues in computer network design and management. Of particular attention will be topics on how mobile computing has changed the way networks are designed and managed.

Data and databases are the foundation of all business systems. Organizations that do not understand the importance of data management are less likely to survive in the modern economy. During this course, you will study advanced concepts of database management systems and data warehouses. You will also research processes and techniques used to improve data repositories, manipulate data, and prevent data corruption. By the end of the course, you will be able to construct, assess, and transform data to improve business intelligence to support informed business decisions.

With more application systems and data processed, together with mobile, cloud, and virtual environments all technology system risks increase for security, privacy, compliance issues. While expectations for safety rise, increased complexity and threats make the provision far more difficult and expensive. Record tampering and accidental or intentional exposure are also among the internal risks every enterprise face. During this course, you will learn how to assess, mitigate, and manage risks, threats, and vulnerabilities. You will also study theories, models, standards, and frameworks that aid the effective design, protection mechanisms, practices, and procedures to implement and manage operations within information systems.

This course serves as an extensive exploration of statistics for the technology leader. Included in the course, is an advanced examination of statistical analyses commonly used for information systems and technology research. During this course, you will use different statistical tools to enhance your advanced analytical skills. These statistical analysis skills are required to plan, conduct, and interpret quantitative data to inform enterprise decisions. You will also learn to illustrate and produce technical output reports.

This course is an advanced examination of the theories, concepts, and strategies for managing technology policies and implementing emerging technology in business organizations. During this course, you will research the legal, technical, and managerial considerations needed to design an information technology governance structure. You will also formulate policies and strategies to manage the information technology landscape and implement realistic and effective plans to support corporate technology goals.

This course provides a survey of the different methods used to conduct technology-based research. During this course, you will learn about the research principles and methodologies that guide scientific inquiry in order to develop an understanding of the effects of research on individuals and organizations. Specifically, you will study the scientific research lifecycle, data collection methods, and research design methodology. You will finish the course by selecting a research design methodology to support your research interests through the remainder of your program.

The Pre-Candidacy Prospectus is intended to ensure students have mastered knowledge of their discipline prior to candidacy status and demonstrated the ability to design empirical research as an investigator before moving on to the dissertation research coursework. Students will demonstrate the ability to synthesize empirical, peer reviewed research to support all assignments in this course. 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 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 (against the minimum rubric standards) Chapter 1 is required to pass this course successfully. Students who do not receive approval of Chapter 1 to minimum standards will be able to take up to three supplementary 8-week courses to finalize and gain approval of Chapter 1.

Students in this course will be required to work on completing Chapters 1-3 of their dissertation proposal and receive committee approval for the Dissertation Proposal (DP) in order to pass the class. Chapter 2 consists of the literature review. Chapter 3 covers the research methodology method and design and to includes population, sample, measurement instruments, data collection and analysis, limitations, and ethical considerations. In this course, a completed, committee-approved Chapters 2 and 3 are required and, by the end of the course, a final approved dissertation proposal (against the minimum rubric standards). Students who do not receive approval of the dissertation proposal will be able to take up to three supplementary 8-week courses to finalize and gain approval of these requirements.

Students in this course will be required to prepare, submit, and obtain approval of their IRB application, collect data, and submit a final study closure form to the IRB. Students still in data collection at the end of the 12-week course will be able to take up to three supplementary 8-week courses to complete data collection and file an IRB study closure form.

In this dissertation course students work on completing Chapters 4 and 5 and the final Dissertation Manuscript. Specifically, students will complete their data analysis, prepare their study results, and present their findings in an Oral Defense and a completed manuscript. A completed, Committee approved (against the minimum rubric standards) Dissertation Manuscript and successful Oral Defense are required to complete the course and graduate. Students who do not receive approval for either or both their Dissertation Manuscript or defense can take up to three supplementary 8-week courses to finalize and gain approval of either or both items as needed.

The results of technical research are frequently used to support informed management decisions. This course provides technology leaders and professionals with the skills needed to design and conduct quantitative research studies to support specific types of data. During this advanced course in research, you will explore and apply different types of quantitative research methods and statistical techniques. You will also explore instrumentation, data collection, and data analysis tools and techniques to create aligned, ethical, and substantive research designs.

A quantitative research design includes objective analysis using experimental, quasi-experimental, and related techniques. Technical quantitative research involves statistical analysis of data collected from a larger number of participants to determine an outcome that can be applied to a general population. During this course, you will work through the scientific research process and apply your knowledge of quantitative research design to develop a technical research proposal in which you can use to support your research interests through the remainder of your program.

The results of qualitative research are frequently used to support informed management decisions. This course provides technology leaders with an in-depth introduction to qualitative methods for studying human behavior, including grounded theory, narrative analysis, and case studies. During this advanced course in research, you will apply qualitative research methods to an information technology-based study. You will also deepen your research knowledge and skills by conducting interviews, collecting and coding data, producing ethical data conclusions, and creating objective research reports.

A qualitative approach to research of a technical nature integrates theoretical, conceptual, and empirical constructs with common practices and experience to gain an understanding of performance and functionality, develop an applied and testable model for improvement, or provide insights into problems to develop new ideas. During this course, you will work through the scientific research process and apply your knowledge of qualitative research design to develop a technical research proposal to support your research interests through the remainder of your program.

The results of technical research are frequently used to develop new products and services. This course provides technology leaders and professionals with the skills needed to design and conduct constructive research studies based on theory. During this advanced course in research, you will examine the methods and measurements used to design constructive research studies to develop sound technical solutions or prototypes. You will also explore software and security testing tools and user acceptance testing methods in order to create aligned, ethical, and substantive research designs.

Technical constructive research focuses on models, frameworks, tools, and software used by industry to improve value creation. A constructive approach to research of a technical nature integrates theoretical and empirical constructs with common practices and experience to develop an applied and testable model to improve the fields of computer science and information technology. During this course, you will work through the scientific research process and apply your knowledge of constructive research design to develop a technical research proposal in which you can use to support your research interests through the remainder of your program.