Doctor of Computer Science - Enterprise Information Systems

CTU’s Doctor of Computer Science - Enterprise Information Systems degree program is designed for computer science professionals who would like to pursue leadership roles in the design, implementation and management of huge databases and large scale systems in almost any type of organization – including those that operate on a global level. Through coursework and research, you can have the opportunity to become well versed in the current body of knowledge pertaining to enterprise information systems – and become familiar with models such as CMMI and the Baldridge Process. Along with the technical expertise to manage the IT implementation process, testing and user testing, you could develop the ability to effectively communicate technical material to non-technical decision makers.

Relevant Institutional/Programmatic Accreditation
CTU is institutionally accredited by the Higher Learning Commission www.hlcomission.org

  • Classes start

  • Total Credits 

    96
  • Program Availbility

    Online

Program Details

Overview
Courses
Related Degrees
Tuition
Career Paths
  • Overview

    The Doctor of Computer Science--Enterprise Information Systems (DCS-EIS) program at Colorado Technical University is designed to develop leaders in designing, implementing and managing large-scale systems in their chosen profession.

    Outcomes:

    • The program prepares the graduates to be knowledgeable consultants, academics, or professionals in their areas of expertise.
    • The program prepares the graduates to be thought leaders in their field in academia or industry.
    • The program prepares the graduates to be scholars who are able to contribute to the body of knowledge.

    Each of the three years of the DCS program is designed to provide candidates with theoretical, research, and application capabilities in the field. The organization of each year is described below.

    Year 1: Foundations
    Year one focuses on computer science and information systems topics and an orientation to research and writing at the doctoral level. Coursework covers current topics in the disciplines as well as research methods and qualitative techniques. The research component results in a broad overview of the student’s area of concentration in order to put the research into context and inform the student’s selection of a research topic.

    Year 2: Acquisition of Knowledge
    Once the foundations are in place, year two is where each student develops an in-depth understanding of the knowledge and research methods in his or her chosen area of study. While most of the effort in year two is on developing a richer understanding of the discipline, the research courses include quantitative methods and the dissertation process.

    Year 3: Leadership and Professional Advancement
    Coursework in the final year of the program includes the two remaining concentration courses plus the final six doctoral research courses that enable one to complete the research and dissertation.

    The program thus includes fifteen instructional courses, plus nine doctoral research courses. Each class is conducted online.

    Symposium
    Doctoral programs at Colorado Technical University require a residential symposium. Additional information about CTU's doctoral symposium can be viewed in the Doctoral Symposium section of this catalog.

    Graduation Requirements
    In addition to the successful completion of the above 96 credits with an acceptable GPA, students must also satisfactorily complete and defend their research proposal and final dissertation. The research proposal must be approved by the student's committee, consisting of a mentor and two readers. The dissertation is an extensive document that incorporates the literature review, a major study, and a proposal for further investigation. The dissertation must be approved by the student's committee.

    Degree Completion and Post Doctoral Study
    The student must be continuously enrolled until all graduation requirements are fulfilled. A student who has not completed the research requirements by the end of the formal coursework continues by registering for RES893 Research Continuation according to CTU’s re-take policy.

    The Doctoral Advantage
    While a relevant master’s degree is ordinarily required for admission to CTU doctoral programs, there is also the option of completing a CTU MSCS, MSIT, MSM-ISS, MSM-IT/PM, or MSSE degree while starting work on the Doctor of Computer Science degree. The program outcomes remain the same for the DCS and the master’s degrees under this option, but the normal completion time for the degrees in the combined program is reduced. Through this program, doctoral work is started after ten of the twelve required master’s courses have been successfully completed. Program plans must be approved by the Dean of Doctoral Computer Science.

  • Courses

    Degree Requirements

    Courses: Core
    CS814 Current Topics in Computer Science and Information Systems

    4

    CS857 Business Intelligence

    4

    CS875 Futuring and Innovation

    4

    EIS840 Strategy, Alignment and Portfolio Management

    4

    EIS842 Enterprise Management Concepts and Databases

    4

    EIS844 Managing, Planning and Integrating EIS

    4

    EIS846 Enterprise Tools, Concepts and Processes

    4

    EIS848 Enterprise Technology Architecture

    4

    EIS850 Information Technology Service Management

    4

    EIS852 Governance, Quality, Compliance and Ethics

    4

    RES804 Principles of Research Methods and Design

    4

    RES812 Qualitative Research Methods

    4

    RES814 Quantitative Research Methods

    4

    RES860 Doctoral Research I: Principles of Research and Writing

    4

    RES861 Doctoral Research II: Annotated Bibliography

    4

    RES862 Dissertation Research Process

    4

    RES863 Doctoral Research III: Dissertation Literature Review

    4

    RES864 Doctoral Research IV: Dissertation Methods

    4

    RES865 Doctoral Research V: Dissertation Introduction

    4

    RES866 Doctoral Research VI: Dissertation Findings

    4

    RES867 Doctoral Research VII: Dissertation Discussion and Conclusion

    4

    RES868 Doctoral Research VIII: Dissertation Conclusion

    4

    Electives Select two 4- credit courses from 800-level CS or EM or EIS courses

    8

    TOTAL CREDIT HOURS: 96
    Electives: DCS students must complete two 4-credit courses for these electives. These courses may be selected from any of those offered under DCS. One of those electives may be chosen from the Doctor of Management program instead.

    CS814 Current Topics in Computer Science and Information Systems

    This course provides an overview and introduction to the breadth of research in the disciplines of computer science and information systems. As such, its content will evolve over time and is expected to cover research developments at the leading edge of these disciplines.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    CS857 Business Intelligence

    This course presents decision making frameworks, their advantages and limitations. Topics include constructing a data warehouse and its use for data mining in order to do trend analysis; the development and protection of business intelligence; and knowledge management within an enterprise. These topics will lead a student to appreciate the value of the knowledge contained in the data gathered by an organization and its impact on the business.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    CS875 Futuring and Innovation

    Develops the skills in futuring through a variety of techniques. Introduces formal methods of innovation and diffusion of innovation.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    EIS840 Strategy, Alignment and Portfolio Management

    This course presents concepts, techniques and methods for building a strategic plan for an enterprise with a strong emphasis on portfolio management. This includes identifying potential strategies and evaluating their alignment with business goals and visions, and approaches to bring IT into alignment with business goals. Students evaluate current research on IT strategy and business alignment. Alignment is examined in detail and encompasses portfolio, program, project management and establishment of a Project Management Office (PMO).

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    EIS842 Enterprise Management Concepts and Databases

    This course examines key management concepts such as enterprise information systems and e-logistics, global/virtual e-supply chain management, supplier relationship management (SRM), customer relationship management (CRM), enterprise resource planning (ERP), data warehousing, data mining, and relational databases.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    EIS844 Managing, Planning and Integrating EIS

    Managing EIS includes management of enterprise leadership, computing systems, information, infrastructure, application, security architecture, technology, processes, data, and people. Enterprise information systems' designs, applications, implementation, deployment and impacts are examined in view of a need for a strong systems development process.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    EIS846 Enterprise Tools, Concepts and Processes

    This course examines enterprise tools and realization technologies for enterprise computing, including ontologies and semantic web support; middleware standards and systems such as CORBA and J2EE; modeling and description languages such as XML, RDF, OWL, and UML. In addition, Enterprise computing concepts for specific domains such as electronic and mobile commerce, vertical domains such as finance, telecommunications, automotive, aerospace, command and control, defense, healthcare, and government are reviewed. Business process and workflow modeling, analysis, integration, monitoring, and management are also examined in view of the enterprise.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    EIS848 Enterprise Technology Architecture

    This course presents current approaches to the high-level design of enterprise architectures. The emphasis is placed on high-level design issues and opportunities for long-term systems planning. Concepts examined are enterprise architecture modeling, model-driven architecture (MDA), component-oriented architecture, service-oriented architecture (SOA), collaborative development and co-operative engineering. Software as a service (SaaS) along with extreme programming is examined as are technologies such as virtualization, grid computing, and cloud computing. Software architecture, software product lines, methodology overview, agile architecture and modeling, presentation tier architecture, usability and user experience are also examined. This course also examines enterprise level security architecture and its relationship with and impact on many of the above technologies such as virtualization, grid computing, and cloud computing.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    EIS850 Information Technology Service Management

    This course focuses on frameworks such as Information Technology Infrastructure Library (ITIL) and the concepts, practices and models that help manage IT services, development and operations. Several organizational models such as COBIT and ITIL are studied relative to their impact on the enterprise. Topics include service support, service delivery, security management, and infrastructure management. In addition, service strategy, service design, service transition, service operations, and continual service improvement are examined in detail as they pertain to ITIL and the enterprise.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    EIS852 Governance, Quality, Compliance and Ethics

    This course presents an overview of the major structures, such as the Sarbanes-Oxley regulations and their impact on the enterprise. The course also explores governance and ethics relative to policies and control within the enterprise. In addition, topics such as trust, security, and privacy issues in enterprise computing and quality assurance issues in enterprise computing are closely examined.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES804 Principles of Research Methods and Design

    This course provides a general understanding of both quantitative and qualitative methods within the context of research designs. Research design is the plan for the selection and application of accepted research practices. Research methods provide models for the appropriate collection, organization and analysis of data for decision-making, replication, and contribution to a knowledge base. Additionally, this course supports doctoral students’ abilities to demonstrate an understanding of the research purpose, nature and forms of research design and their relationship to research questions, methods for data collection and data analyses.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES812 Qualitative Research Methods

    This course examines the fundamental principles of qualitative inquiry differentiating among various qualitative research designs. Includes active engagement and practice with capturing qualitative data including being a participant observer and an interviewer. Students will learn how to minimize threats to the internal validity of qualitative studies, focusing on specific techniques for interpretation of data that contributes to the authenticity of qualitative studies.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES814 Quantitative Research Methods

    Students will learn fundamental concepts of designing, collecting and assessing quantitative data. The course covers descriptive measures as well as various forms of probability and inferential analysis. Exploration of multivariate statistics will be practiced via large datasets using statistical analysis software.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES860 Doctoral Research I: Principles of Research and Writing

    RES860 is the first course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course: clarifies the research focus, defines the research question(s)/objective/hypotheses, and produces a written document that shows adequate progress toward completion of dissertation research.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES861 Doctoral Research II: Annotated Bibliography

    RES861 is the second course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course: clarifies the research focus, defines the research question(s)/objective/hypotheses, and produces a written document that shows adequate progress toward completion of dissertation research.

    Prerequisites

    RES860

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES862 Dissertation Research Process

    This course presents doctoral students to the dissertation research process and applies relevant integrative understanding of complementary disciplines. It examines in depth the research process and introduces doctoral candidates to the various aspects of conducting valid research. Topics in this course include: hypothesis formulization, designing a literature review, conniving data collection techniques, ethical issues in research, and dissertation research design.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES863 Doctoral Research III: Dissertation Literature Review

    RES863 is the third course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course: clarifies the research focus, defines the research question(s)/objective/hypotheses, produces a review of the literature.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES864 Doctoral Research IV: Dissertation Methods

    RES864 is the fourth course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires: fine tuning the research question(s)/objective/hypotheses, strengthening the review of the literature, drafting a methods chapter (min), and drafting a chapter one. Students may surpass this description as they are able.

    Prerequisites

    None

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES865 Doctoral Research V: Dissertation Introduction

    RES865 is the fifth course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires the student to focus on: producing a defense-ready draft of Chapters 1, 2 & 3 (the research proposal), undertaking the Proposal Defense, undertaking modifications required by the dissertation committee, achieving an approved IRB application.

    Prerequisites

    RES864

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES866 Doctoral Research VI: Dissertation Findings

    RES866 is the sixth course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires the student to focus on: undertaking the Proposal Defense, undertaking modifications required by the dissertation committee, achieving an approved IRB application, proceeding with Data Collection and Analysis.

    Prerequisites

    RES865

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES867 Doctoral Research VII: Dissertation Discussion and Conclusion

    RES867 is the seventh course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires the student to focus on: proceeding with Data Collection and Analysis, working on initial drafting of chapters 4 & 5, and preparing for Final Defense. Course is pass/fail.

    Prerequisites

    RES866

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×

    RES868 Doctoral Research VIII: Dissertation Conclusion

    RES868 is the eighth course of eight research and writing courses that result in a dissertation. Each term, the student progresses toward the completion of the dissertation by completing required elements of the dissertation process. This course requires the student to focus on: completing Data Collection and Analysis as needed, completing work on chapters 4 &5, undertaking the Final Defense, modifying document as required by the committee, editing of final document for publishing, and University sign off. Course is pass/fail.

    Prerequisites

    RES867

    Corequisites

    None

    Credits

    4

    Distribution

    Computer Science
    ×
  • Related Degrees

    Enterprise Information Systems is just one of the industry-relevant concentrations CTU offers in the Doctor of Computer Science degree program. Choose the option below that best supports your educational goals.

    Headset icon Contact an Admissions Advisor for additional concentration information
  • Tuition

    $57,408 Tuition

    $4,000 Symposium Fee*
    $200 Graduation Fee

    We understand that paying for your education is an investment in your future. Visit our tuition resources page for links to full tuition, books and fees.

    Cost of this degree may be reduced based on one or more of the following:

    *A $1,000 non-refundable fee is charged to a student’s account each quarter in which a student is registered for symposium (attendance at four symposia are required as part of the degree). This fee covers administrative costs such as conference rooms, AV equipment, academic event materials and supplies that are associated with the symposium event. Please see the Doctoral Symposium section of the catalog for more information.
    **Financial aid available for those who qualify

    Headset icon Contact an Admissions Advisor for additional information
  • Career Paths

    CTU's Doctor of Computer Science degree builds on the foundation of a master’s degree to prepare students for senior level leadership, consulting, and teaching positions within business, government, nonprofit organizations, and higher education. CTU doctoral students are educated to discover new solutions to unsolved problems in a range of fields. Students develop analytic and research skills to define problems, study advanced content knowledge to discover innovative solutions, and practice consulting and leadership techniques to facilitate innovative change in organizations, communities, and society. Using these skills, graduates may find opportunities as leaders within nonprofit organizations and businesses, as consultants, or as faculty within higher education.

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