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
- Aurora (Denver Area)
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 Electives Select two 4- credit courses from 800-level CS or EM or EIS courses 8
Total Credit Hours: 96
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.
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.
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. In addition, graduation requires successful defense of a dissertation that requires a literature review and a research proposal. 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.
Note, however, that for the MSSE degree to be awarded under doctoral advantage the student must successfully complete SE600, SE610, SE612 (for CTU Virtual Campus students), and SE620.
The MSCS, MSIT, MSM-ISS, MSM-IT/PM, or MSSE degree will be awarded upon successful completion of the ten approved master’s courses plus the first two courses in the doctoral degree program: one five-hour 800-level course plus one research and writing course.
Total tuition for this degree program will vary depending on your educational needs, existing experience, and other factors.
View our tuition resources page for links to information on our civilian and military student tuition, books and fees.Estimate your costs, potential savings and graduation date
Ways to Save
Ways to Save
Cost of this degree may be reduced based on one or more of the following:
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
Where do I go from here?
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Classes start April 3, 2018!
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