Doctorate in Big Data Analytics Online
Doctor of Computer Science - Big Data Analytics
As the importance of data continues to rise, the need for true experts who can structure and interpret it will be important. You can leverage your experience and develop expertise with a Doctor of Computer Science degree in Big Data Analytics from Colorado Technical University. In this program, you can study tools, like XML and Hadoop, and techniques, like AI and data visualization, to analyze huge amounts of distributed, unstructured data in order to produce meaningful insights.
Our doctoral program includes:
- An online curriculum with a residency component
- Multiple start dates throughout the year
- An opportunity to complete the program in three years
- Dissertation development integrated into the program
- In-person symposium experiences
At CTU, students come first. Our flexible online course schedule helps you to build a class schedule around your schedule. And with grants and scholarships available for those who qualify, a degree from CTU can be both achievable and affordable. Learn more below or fill out the form to speak with an admissions advisor.
Relevant Institutional/Programmatic Accreditation
CTU is institutionally accredited by the Higher Learning Commission www.hlcommission.org
CLASSES START
- June 13, 2023
- July 25, 2023
- August 29, 2023
TOTAL CREDITS
PROGRAM AVAILABILITY
- Online
Program Details
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Degree Requirements
Courses: Core
CreditsCourse Title Course Description Credit Hours CS814 Current Topics in Computer Science and Information Systems 4 CS828 Advanced Topics in Database Systems 4 CS844 Concurrent and Distributed Systems 4 CS857 Business Intelligence 4 CS871 Advanced Quantitative Analysis 4 CS875 Futuring and Innovation 4 CS877 Introduction to Big Data Analytics 4 CS879 Advanced Topics in Big Data Analytics 4 CS881 Analytics for Big Data 4 CS882 Tools for Big Data Analytics 4 RES804 Principles of Research Methods and Design 4 RES812 Qualitative Research Methods 4 RES814 Quantitative Research Methods 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 RSCH860 Doctoral Research I: Principles of Research and Writing 4 RSCH861 Dissertation Process I 4 RSCH862 Dissertation Process II 4 Select two 4- credit courses from 800-level CS or EM or EIS courses 8 SYMP801 Doctoral Symposium I 2 SYMP802 Doctoral Symposium II 2 Total Credit Hours: 100
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Admission Requirements
Program Areas of Focus
The DCS program is designed to provide candidates with theoretical, research, and application capabilities in the field. The areas of focus are described below.
Foundations
The program provides a focus 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.
Acquisition of Knowledge
Once the foundations are in place, the focus is on student development of an in-depth understanding of the knowledge and research methods in his or her chosen area of study. While most of the focus is on developing a richer understanding of the discipline, the research courses include quantitative methods and the dissertation process.
Leadership and Professional Advancement
The program includes the two remaining concentration courses plus the final six doctoral research courses that are designed to help students to complete the research and dissertation.
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 100 credits with an acceptable GPA, students must also satisfactorily complete their research proposal and final dissertation. The research proposal must be approved by the student’s Research Supervisor and University Reviewer. The dissertation, which must be approved by the student’s dissertation committee, is an extensive document that includes the research study. In addition, graduation requires presentation of the final dissertation.
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Next Steps
Program details are provided lower on the page.
Classes start June 13, 2023 *
*Start dates may vary by program and location.
FAQs
CTU’s Doctor of Computer Science (DCS) with a concentration in Big Data Analytics Degree Program is designed to provide candidates with theoretical, research, and application capabilities in the field. The program’s coursework provides a focus on computer science and information systems topics including those related to big data analytics, as well as an orientation to research and writing at the doctoral level. Coursework may cover current topics in the disciplines as well as various types of research methods.
As you work to complete your DCS with a concentration in Big Data Analytics, you will be immersed in courses where you will study these topics and much more: analytical techniques for big data; quantitative and qualitative methods within the context of research designs; and uses tools including artificial intelligence and machine learning for big data analytics.p>
Courses for the DCS with a concentration in Big Data Analytics degree program start online approximately every five weeks. Completion of the CTU admissions process will depend on how quickly you complete the steps in the CTU online application process. You may complete the application process over the phone with an advisor or you may go online. Once you’ve completed the online application, you may hear from an advisor within the following 24 hours to discuss the next steps toward starting your degree program. Master’s programs may have additional entrance requirements that take additional processing time.
The DCS with a concentration in Big Data Analytics degree program consists of 100 credits. You may be eligible for transfer credit, which is evaluated on an individual basis.
As you study topics in computer science and data analytics that are always being evaluated and updated to reflect industry-relevant trends, you will experience a curriculum through classroom learning and hands-on experience that aligns to industry standards and helps you work to develop skills that are applicable to the needs of the digital economy.
In addition to the successful completion of the program’s 100 credits with an acceptable GPA, students must also satisfactorily complete their research proposal and final dissertation. The research proposal must be approved by the student’s research supervisor and university reviewer. The dissertation, which must be approved by the student’s dissertation committee, is an extensive document that includes the research study. Graduation also requires students’ presentation of the final dissertation.