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Course Description

Core Courses

Information Technology Importance in Strategic Planning

This course focuses on the information technology leader’s collaborative roles working with an organization’s senior leadership, including aligning business strategy with IT strategy, acting as an equal contributor to the formation of organizational strategy, and integrating ethical policies and practices into an organization. Learners evaluate multidisciplinary research and practices related to leadership, organizational structures, and culture. Through the lens of complexity/chaos and change theories, learners analyze information technology’s role in contributing to organizational resiliency.
 

Information Technology in a Global Economy

This course covers theory, development and impacts of national and international policy on IT. It explores how frequent shifts in public policy require IT businesses to adjust rapidly to adhere to regulations. Students will develop sophisticated strategies to be able to adapt to the changing environment including new technologies, global transfer and analysis.
 

Information Governance

This course presents key issues related to the discipline of information governance and how it is being applied to electronic document and records management, email, social media, cloud computing, mobile computing, and, in fact, the management and output of information organization-wide. IG leverages information technologies to enforce policies, procedures and controls to manage information risk in compliance with legal and litigation demands, external regulatory requirements, and internal governance objectives. Information Governance: Concepts, Strategies, and Best Practices reveals how, and why, to utilize IG and leverage information technologies to control, monitor, and enforce information access and security policies.
 

Emerging Threats and Countermeasures

Covers security issues and current best practices in several applicative domains, ranging from the enterprise to the military. Discusses emerging security threats and available countermeasures with respect to the most recent network and computing technologies, including wireless networks, computer-controlled physical systems, and social networks. Concludes by presenting current trends and open problems.
 

Enterprise Risk Management

This course goes beyond looking at risk management from the confines of quantitative topics to cover the full spectrum of risks that may emerge in enterprises. It covers a more holistic approach that includes the decisions and actions of employees in an active enterprise. It uses case studies to demonstrate the issues and challenges in total risk management. Finally, the course explores techniques for balancing enterprise risk and reward to enable performance optimization.
 

Data Science and Big Data Analytics

In this course, students explore key data analysis and management techniques, which applied to massive datasets are the cornerstone that enables real-time decision making in distributed environments, business intelligence in the Web, and scientific discovery at large scale. In particular, students examine the map-reduce parallel computing paradigm and associated technologies such as distributed file systems, non-sql databases, and stream computing engines. This highly interactive course is based on the problem-based learning philosophy. Students are expected to make use of technologies to design highly scalable systems that can process and analyze Big Data for a variety of scientific, social, and environmental challenges.
 
 

Professional Research

Inferential Statistics

This course focuses on descriptive and inferential statistics. Course activities include the application of statistical methods to research design. Specific concepts include measures of central tendency and variability, probability theory, estimation and significance, and correlation and regression.
 

Dissertation Seminar

Students will formally identify a dissertation topic and write the review of the literature in fulfillment of the requirements for the Dissertation Seminar. The remaining sections of the first three chapters of the dissertation will be written while enrolled in Advanced Educational Research. Candidates will carry out their research to complete the dissertation.

This course provides guided instruction on the design and writing of a dissertation proposal focused on school-based research. Course activities are intended to strengthen skills in writing, project design, and research methods.
 

Advanced Research Methods

Students will formally identify a dissertation topic and write the review of the literature in fulfillment of the requirements for the Dissertation Seminar. The remaining sections of the first three chapters of the dissertation will be written while enrolled in Advanced Educational Research. Candidates will carry out their research to complete the dissertation.

The course is designed to provide doctoral students with an in-depth analysis of the methods and procedures of research used in the various relevant IT subfields. Topics include conceptualizing research designs, writing research proposals, constructing measurement instruments, collecting and analyzing qualitative and quantitative data, and drawing inferences. Special attention is given to making sound decisions regarding the selection of appropriate designs and methods for investigating research questions.
 

Dissertation

The dissertation is the capstone experience in the PhD program of Information Technology. A dissertation is a research-based project that may use a wide-range of statistical, quantitative, and qualitative methods. However, in the University’s practitioner-focused program, the dissertation is conceived as a reality-based project in which the candidate engages in authentic professional problem-solving to extend best practices in the field. Specific details on dissertation requirements are included in the “PhD IT Dissertation Handbook.”
 

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