Doctor of Computer Science - Big Data Analytics

In today’s data-driven world, the ability to analyze huge amounts of data is vital. This has created a new area of expertise and specialization for data scientists with advanced skills to propose solutions to issues related to big data analytics. The Doctor of Computer Science – Big Data Analytics at Colorado Technical University is designed to help develop leaders, data analysts, and data scientists in the use of tools and techniques to analyze distributed, unstructured data. This program builds on the foundations of a master’s degree and helps graduates prepare to become consultants, academics, or professionals and thought leaders in the field, as well as becoming scholars who are able to contribute to the body of knowledge. The Doctor of Computer Science is available exclusively online, so you’re able to study on your time.

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

CLASSES START

TOTAL CREDITS

96

PROGRAM AVAILABILITY

  • Online
  • Aurora (Denver Area)
  • Degree Requirements

    Courses- Core
    BADM810 Financial and Managerial Accounting for Decision Making 4
    BADM820 Foundations of Economic Theory and Practice 4
    BADM840 Business Legal and Ethical Environment 4
    BADM850 Marketing Strategy for the 21st Century 4
    BADM860 IT for Business Operations Optimization 4
    BADM870 Organizational Behavior and Management 4
    GL872 Leadership in Global Organizations 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
    Total Credit Hours: 76
    Courses- Concentration
    BADM830 Strategic Management 4
    BADM880 Human Capital Management 4
    BADM890 Supply Chain and Logistics Management 4
    ELE Elective 4
    ELE Elective 4
    Total Credit Hours: 20
    Courses- Elective Choices
    CS857 Business Intelligence 4
    CS861 Information Assurance 4
    CS872 Introduction to Big Data Analytics 4
    CS875 Futuring and Innovation 4
    GL870 Culture, Values, and Ethics in a Global Environment 4
    LDR870 Self-Insight and Personal Development as a Leader 4
    LDR876 Leadership, Technology and Social Media 4
    MGMT824 Strategic Thinking and Organizational Alignment 4
    MGMT832 Organization Innovation and Scenario Thinking 4
    MGMT818 Leadership Theory and Development 4
    ODC870 Organizational Strategy & Design 4
    ODC874 Leading and Managing Large Scale Transformation 4
    ODC876 System Thinking and Decision Making 4

    Total Credit Hours: 96


    The Doctor of Business Administration (DBA) at Colorado Technical University is the terminal degree for business professionals. The program integrates practical and theoretical skills to prepare students to think and act strategically. The program enhances students’ abilities to make positive contributions and be a thought-leader in the area of their chosen concentration.

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

    In addition, graduation requires the approval of a dissertation which documents the student's research processes and presents the findings and conclusions of that research, and suggests future research. The dissertation is divided into two major segments: the proposal and the full dissertation. The proposal will be developed by the student, and then submitted by the mentor to the University Review Board. The research will then be conducted and written up, resulting in the full dissertation, which is then reviewed by a committee. These processes are conducted under the supervision of CTU's professors. 


    Graduation Requirements
    In addition to the successful completion of the above 96 credit hours with an acceptable GPA, students must also satisfactorily complete and defend their research with a dissertation.

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

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

  • 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.

    *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

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  • Outcomes

    This degree program is designed to provide the following skills and knowledge:

    • Demonstrate an understanding of the common characteristics of big data: volume, velocity, variety, and veracity
    • Assess and apply the use of big data software tools to organize various types of datasets
    • Evaluate artificial intelligence solutions to big data problems
    • Devise algorithms for efficiently processing big data to support business operations
    • Create a big data use and analysis framework for the mission of an organization
  • Next Steps

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Classes start January 2, 2018!

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Online Programs - Graduation Rate

The percentage of first-time, full-time undergraduate students who started between
7/1/2010 and 10/15/2010 who completed within 150% of the normal time period:20%

All Colorado Technical University campuses and both ground and online enrollments are included in this Graduation Rate.

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Aurora (Denver Area) - Graduation Rate

The percentage of first-time, full-time undergraduate students who started between
7/1/2010 and 10/15/2010 who completed within 150% of the normal time period:20%

All Colorado Technical University campuses and both ground and online enrollments are included in this Graduation Rate.

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