Doctor of Philosophy in Computer Science (PhD-CS)

3.0 Credit Hours

This course supplies an overview of computer science, setting the baseline for key topics in the field. In this course, you will study the importance of algorithms, the value of diverse languages, and the solutions created within the field. This course will also outline the role of theory, practice, and research in general and within the degree. A breadth of introductory topics will extend to data communications, cloud computing, data, artificial intelligence. The foundations of computer science will survey automata, theory of computation, neutral networks, intelligence, and the importance of human interaction.

3.0 Credit Hours

Programming languages and algorithms evolve due to changes in technology, needs, security, and other environmental adjustments. Programming must therefore adjust solutions quickly while limiting the use of resources. This course is an advanced study of the practical and theoretical principles behind the design, analysis, and implementation of algorithms and programming languages for research and professional practice. During this course, you will evaluate the practical and theoretical principles behind language development and the use of different programming languages to address programming problems. You will also examine current algorithms and their evolution for resolving common and anticipated computational problems.

3.0 Credit Hours

In this course, students are prepared for an understanding of networks and related theory to support computer science, cybersecurity, and technology management needs. Students will learn network concepts, as well as designing networks for reliability, availability, confidentiality, and network monitoring. Content will include high-level design of networks, evaluation of service providers, and strategies to prepare an organization for future communication needs (such as multi-cloud, satellite, 5G & 6G, and quantum data communications, plus related security techniques). Students will learn network design, planning, the role of network data communication devices, global access, and safe third-party data exchange.

3.0 Credit Hours

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.

3.0 Credit Hours

Artificial intelligence is becoming more and more useful in helping solve everyday problems. Intelligent agents and natural language processing have become common in the marketplace. During this course, you will evaluate the impact of artificial intelligence on performance and enterprise resources. You will also expand your ability to improve an artificial intelligence application to address varied user specifications. Finally, you will be able to produce a complete artificial intelligence project plan that will integrate with current and proposed IT solutions for process improvement.

3.0 Credit Hours

This course will consolidate a foundation of concepts relating to security and cybersecurity, enabling the successful examination of greater detail and complexity in later courses. You will examine the full range from governance through compliance with laws, through people risks, to technology. Various mitigation options are considered to reduce vulnerabilities, counter threats, and to protect an organization’s data and system assets. You will study the need to protect organizations from future exposures and apply critical thinking and synthesis to motivate the resources needed to defend an organization.

3.0 Credit Hours

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.

3.0 Credit Hours

This course addresses needs in industry, business, and academia to improve performance and advance scientific knowledge. You will learn data mining techniques that help discover patterns, trends, anomalies, and associations that are otherwise hidden or unknown. In addition, this course introduces the fundamentals, principles, implementation techniques, and applications of data mining. Learning also includes data curation techniques, focuses on exploratory data analysis, prediction, classification, association analysis, similarity assessment and clustering, outlier, and anomaly detection. Interpreting and evaluating data analysis/data mining results is explored. Additionally, data mining experience for applications in computer vision, big data, and social networks will be provided.

3.0 Credit Hours

Business processes change continually and require new technology solutions to improve production. Improved technology solutions can speed up processes, increase service delivery speed, and reduce the number of defects. This project-driven technical research course explores the principles and processes needed for the efficient development of software solutions with a focus on software quality design and development. During this course, you will research and suggest models and frameworks to improve software development processes based on different business problems and needs.

3.0 Credit Hours

Knowledge of security principles and practices in software engineering is vital to provide quality software solutions. This course is an application-based examination of software engineering for the security professional. During this course, you will explore the foundations that support secure software development and analyze different secure software design and development practices. You will also select and defend a secure software architecture and technology approach and then design a secure software deployment and maintenance solution strategy.

3.0 Credit Hours

This course explores the latest developments and applications of parallel and distributed computing in various domains. The course delves into advanced concepts and techniques related to algorithm optimization, solution-driven architectures, and the impact of parallel and distributed computing on advanced technologies and solutions. You will focus on the specific considerations for parallel computing in Internet of Things (IoT) solutions, advancements in modern parallel computing, applied parallel computing in cybersecurity, and the application of distributed computing in Blockchain technology. Through research, analysis, and assignments, students will gain a deeper understanding of these topics and their real-world applications.

3.0 Credit Hours

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.

3.0 Credit Hours

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.

3.0 Credit Hours

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.

3.0 Credit Hours

This course is an advanced examination of the theories, concepts, and strategies for managing technology policies while developing and implementing computer science projects. During this final course in the PhD-CS program, before starting the dissertation sequence, you will research and design an information technology policy strategy for software development and implementation. You will also evaluate ways to improve the competitive position of an organization, recommend coding control structures for data integrity and security, and plan ways to address business concerns regarding the adoption of new technologies.

3.0 Credit Hours

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.

3.0 Credit Hours

In this course, students will complete Chapters 1 and 2 of their Dissertation Proposal. Chapter 1 includes a brief review of the literature with substantiating evidence of the problem, the research purpose and questions, the intended methodological design and approach, and the significance of the study, while Chapter 2 consists of the literature review, including the theoretical/conceptual framework. Completed and committee-approved (against the minimum rubric standards) Chapter 1 and Chapter 2 are required to pass this course successfully.

3.0 Credit Hours

Prerequisite: DIS 9100A  

In this course, students will complete Chapters 1 and 2 of their Dissertation Proposal. Chapter 1 includes a brief review of the literature with substantiating evidence of the problem, the research purpose and questions, the intended methodological design and approach, and the significance of the study, while Chapter 2 consists of the literature review, including the theoretical/conceptual framework. Completed and committee-approved (against the minimum rubric standards) Chapter 1 and Chapter 2 are required to pass this course successfully.

3.0 Credit Hours

Prerequisite: DIS 9100B 

In this course, you will complete Chapters 1 and 2 of your Dissertation Proposal. Chapter 1 includes a brief review of the literature with substantiating evidence of the problem, the research purpose and questions, the intended methodological design and approach, and the significance of the study, while Chapter 2 consists of the literature review, including the theoretical/conceptual framework. Completed and committee-approved (against the minimum rubric standards) Chapter 1 and Chapter 2 are required to pass this course successfully.

3.0 Credit Hours

Prerequisite: DIS 9100C  

In this course, you will complete Chapters 1 and 2 of your Dissertation Proposal. Chapter 1 includes a brief review of the literature with substantiating evidence of the problem, the research purpose and questions, the intended methodological design and approach, and the significance of the study, while Chapter 2 consists of the literature review, including the theoretical/conceptual framework. Completed and committee-approved (against the minimum rubric standards) Chapter 1 and Chapter 2 are required to pass this course successfully.

3.0 Credit Hours

In this course, students will complete Chapter 3 and their Dissertation Proposal (DP). Chapter 3 includes the research methodology and design, population, sample, measurement instruments, data collection and analysis, limitations, and ethical considerations. Students will then assemble their Dissertation Proposal including all appendices necessary. A completed, committee-approved Chapter 3 and a final approved Dissertation Proposal (against the minimum rubric standards) are required by the end of the course.

3.0 Credit Hours

Prerequisite: DIS 9200A  

In this course, students will complete Chapter 3 and their Dissertation Proposal (DP). Chapter 3 includes the research methodology and design, population, sample, measurement instruments, data collection and analysis, limitations, and ethical considerations. Students will then assemble their Dissertation Proposal including all appendices necessary. A completed, committee-approved Chapter 3 and a final approved Dissertation Proposal (against the minimum rubric standards) are required by the end of the course.

3.0 Credit Hours

Prerequisite: DIS 9200B 

In this course, students will complete Chapter 3 and their Dissertation Proposal (DP). Chapter 3 includes the research methodology and design, population, sample, measurement instruments, data collection and analysis, limitations, and ethical considerations. Students will then assemble their Dissertation Proposal including all appendices necessary. A completed, committee-approved Chapter 3 and a final approved Dissertation Proposal (against the minimum rubric standards) are required by the end of the course.

3.0 Credit Hours

Prerequisite: DIS 9200C  

In this course, students will complete Chapter 3 and their Dissertation Proposal (DP). Chapter 3 includes the research methodology and design, population, sample, measurement instruments, data collection and analysis, limitations, and ethical considerations. Students will then assemble their Dissertation Proposal including all appendices necessary. A completed, committee-approved Chapter 3 and a final approved Dissertation Proposal (against the minimum rubric standards) are required by the end of the course.

3.0 Credit Hours

In this course, students will prepare, submit, and obtain approval of their IRB application. After obtaining IRB approval, students will collect data and submit a data collection verification form when data collection is complete. Students will begin synthesizing collected data and analyzing results. IRB study approval and a completed data collection verification form are required by the end of the course.

3.0 Credit Hours

Prerequisite: DIS 9300A  

In this course, students will prepare, submit, and obtain approval of their IRB application. After obtaining IRB approval, students will collect data and submit a data collection verification form when data collection is complete. Students will begin synthesizing collected data and analyzing results. IRB study approval and a completed data collection verification form are required by the end of the course.

3.0 Credit Hours

Prerequisite: DIS 9300B 

In this course, students will prepare, submit, and obtain approval of their IRB application. After obtaining IRB approval, students will collect data and submit a data collection verification form when data collection is complete. Students will begin synthesizing collected data and analyzing results. IRB study approval and a completed data collection verification form are required by the end of the course.

3.0 Credit Hours

Prerequisite: DIS 9300C  

In this course, students will prepare, submit, and obtain approval of their IRB application. After obtaining IRB approval, students will collect data and submit a data collection verification form when data collection is complete. Students will begin synthesizing collected data and analyzing results. IRB study approval and a completed data collection verification form are required by the end of the course.

3.0 Credit Hours

In this course, students will complete Chapters 4 and 5, followed by their Dissertation Manuscript. Chapter 4 includes presenting study results aligned to the research design and research questions and/or hypotheses. Chapter 5 includes study implications, recommendations, and conclusions. Students will then compile and present findings in the completed Dissertation Manuscript and in an Oral Defense. A completed, committee-approved Chapter 5, Dissertation Manuscript, and successful Oral Defense (against the minimum rubric standards) are required to complete the course and graduate.

3.0 Credit Hours

Prerequisite: DIS 9400A  

In this course, students will complete Chapters 4 and 5, followed by their Dissertation Manuscript. Chapter 4 includes presenting study results aligned to the research design and research questions and/or hypotheses. Chapter 5 includes study implications, recommendations, and conclusions. Students will then compile and present findings in the completed Dissertation Manuscript and in an Oral Defense. A completed, committee-approved Chapter 5, Dissertation Manuscript, and successful Oral Defense (against the minimum rubric standards) are required to complete the course and graduate.

3.0 Credit Hours

Prerequisite: DIS 9400B 

In this course, students will complete Chapters 4 and 5, followed by their Dissertation Manuscript. Chapter 4 includes presenting study results aligned to the research design and research questions and/or hypotheses. Chapter 5 includes study implications, recommendations, and conclusions. Students will then compile and present findings in the completed Dissertation Manuscript and in an Oral Defense. A completed, committee-approved Chapter 5, Dissertation Manuscript, and successful Oral Defense (against the minimum rubric standards) are required to complete the course and graduate.

3.0 Credit Hours

Prerequisite: DIS 9400C  

In this course, students will complete Chapters 4 and 5, followed by their Dissertation Manuscript. Chapter 4 includes presenting study results aligned to the research design and research questions and/or hypotheses. Chapter 5 includes study implications, recommendations, and conclusions. Students will then compile and present findings in the completed Dissertation Manuscript and in an Oral Defense. A completed, committee-approved Chapter 5, Dissertation Manuscript, and successful Oral Defense (against the minimum rubric standards) are required to complete the course and graduate.