Doctor of Computer Science - Big Data Analytics Concentration

Effective February 2019, this program is no longer available for future enrollments at the Denver South campus.

The Doctor of Computer Science with a concentration in Big Data Analytics (DCS-BDA) is a 100-credit-hour terminal degree in computer science. The program includes 40 credit hours of core management courses, 20 credit hours of big data analytics concentration courses, 4 credit hours of symposium-related courses, and 36 credit hours of doctoral research. The research element will culminate in a dissertation.

The DCS-BDA program is designed to aid leaders, data analysts, and data scientists in the development and use of tools and techniques to analyze large amounts of distributed, unstructured data in order to produce meaningful insight and automation for their respective organizations.


This program does not lead to additional licensure or certification.  As such, CTU has made no determination regarding prerequisites for licensure or certification in any state or jurisdiction.


Doctor of Computer Science Outcomes

  • Demonstrate fluency within the chosen discipline and the ability to support computer science strategy and technology in changing environments
  • Develop synthesis proficiencies for strategic computer science solution generation in the context of internal and external technology adoption and application
  • Integrate computer science theories, models, skills, and competencies in support of organizational missions

Big Data Analytics Concentration Outcomes

  • 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

Degree Requirements

Courses: Core

CS814Current Topics in Computer Science and Information Systems


CS828Advanced Topics in Database Systems


CS844Concurrent and Distributed Systems


CS857Business Intelligence


CS871Advanced Quantitative Analysis


CS875Futuring and Innovation


CS877Introduction to Big Data Analytics


CS879Advanced Topics in Big Data Analytics


CS881Analytics for Big Data


CS882Tools for Big Data Analytics



RES804Principles of Research Methods and Design


RES812Qualitative Research Methods


RES814Quantitative Research Methods


RES860Doctoral Research I: Principles of Research and Writing


RES861Doctoral Research II: Annotated Bibliography


RES862Dissertation Research Process


RES863Doctoral Research III: Dissertation Literature Review


RES864Doctoral Research IV: Dissertation Methods


RES865Doctoral Research V: Dissertation Introduction


RES866Doctoral Research VI: Dissertation Findings


RES867Doctoral Research VII: Dissertation Discussion and Conclusion


RES868Doctoral Research VIII: Dissertation Conclusion


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


SYMP801Doctoral Symposium I


SYMP802Doctoral Symposium II


Total Credit Hours:100

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.

Total Credit Hours: 100

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.


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.


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.


  • Virtual Campus

Area of Study

  • Engineering & Computer Science

Degree Level

  • Doctorate