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
- May 24, 2022
- June 28, 2022
- August 09, 2022
TOTAL CREDITS
PROGRAM AVAILABILITY
- Online
Program Details
-
Estimate Tuition and Grad Date
Total tuition for this degree program will vary depending on your educational needs, existing experience, and other factors.
Estimate your costs, potential savings and graduation date
-
Degree Requirements
Courses: Core
Credits
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.Course 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 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 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
-
Compare Related Areas of Study
Compare up to three additional degrees
-
Ways to Save
-
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.
-
Next Steps
Program details are provided lower on the page.
