Doctor of Computer Science - Big Data Analytics
In today's data-driven industries, companies that develop the capacity to turn large volumes of data into useful knowledge can develop a competitive advantage. This is creating a new area of expertise and specialization for data scientists with the advanced skills to propose solutions to issues related to big data analytics.
The CTU Doctor of Computer Science with a concentration in Big Data Analytics is designed to develop thought leaders who have mastered the tools and techniques to analyze huge amounts of distributed, unstructured data in order to produce meaningful insight and automation for their respective organizations.
Relevant Institutional/Programmatic Accreditation
CTU is institutionally accredited by the Higher Learning Commission
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This program is available at the following campuses and/or online: Online
CTU's Doctor of Computer Science degree builds on the foundation of a master’s degree to prepare students for senior level leadership, consulting, and teaching positions within business, government, nonprofit organizations, and higher education. CTU doctoral students are educated to discover new solutions to unsolved problems in a range of fields. Students develop analytic and research skills to define problems, study advanced content knowledge to discover innovative solutions, and practice consulting and leadership techniques to facilitate innovative change in organizations, communities, and society. Using these skills, graduates may find opportunities as leaders within nonprofit organizations and businesses, as consultants, or as faculty within higher education.
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The following courses are specific to the Big Data Analytics concentration. To view courses that must be completed for all Doctor of Computer Science degrees, visit the Doctor of Computer Science overview page.
- Advanced Quantitative Analysis
- Introduction to Big Data Analytics
- Advanced Topics in Big Data Analytics
- Analytics for Big Data
- Tools for Big Data Analytics
- Elective - Select one 5 - hour course from 800 - level CS/EM/EIS courses
Doctorate degree program courses are taught in an executive format, combining an active online component with an intensive residential symposium lasting two and a half days with an additional orientation day the first quarter. Students are required to attend two of these quarterly symposia each year. The program also includes twelve 5-credit instructional courses, taken one per quarter for three years, plus a research-and-writing class taken each quarter.
Students are required to attend an intensive two and a half day residential symposium twice annually. The symposia are scheduled four times throughout the year and doctoral students are welcome to attend all four symposia available. First term doctoral students will have an additional required CTU student orientation the day prior to the residential symposium for returning students.
Contact an Admissions Advisor for additional curriculum information
View the complete Course Catalog for all required courses
In addition to the successful completion of all 96 credits with an acceptable GPA, students must also satisfactorily complete and defend their research proposal and final dissertation. These documents must be approved by the student’s committee, consisting of a mentor and two readers.
Each of the three years of the DCS-BDA program is designed to provide candidates with the theoretical, research, and applications capabilities necessary in the field of digital systems security. The organization of each year is described below.
Year 1: Foundations
Year one focuses on computer science and software engineering topics and an orientation to research and writing at the doctoral level. Coursework covers current topics in computer science and software engineering, requirements engineering, project management and process engineering, and research methods. Considerations of digital systems security are covered in each of these courses. The research and writing component results in a broad overview of current research in digital systems security and inform the student’s selection of a research topic. Students prepare research proposals and begin their research.
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 their chosen area of study. Coursework includes one required course in software systems architecture and design, plus three courses chosen in consultation with, and approved by, the Dean. These three courses, plus three courses in the third year, must form a cohesive unit that increases the student’s knowledge in a chosen area of investigation. In addition to coursework, students conduct research and writing in their chosen area.
Year 3: Leadership and Professional Advancement
Coursework in the final year of the program includes one required course in futuring and innovation, plus three courses from the student’s selected area of study. The research component of the program results in documentation of the student’s applied research in either a dissertation or a series of articles.
Contact an Admissions Advisor for additional information
View the complete Course Catalog for all required courses
Gainful Employment and Other Student Disclosures
Below you can find placement rates and other information tailored to your chosen campus and program. Certain disclosures are published on this website to assist students in understanding the facts about their programs.
Program Disclosure Information for:
Online Programs - Big Data Analytics
Online Programs - Graduation Rate
The percentage of first-time, full-time undergraduate students who started between
7/1/2008 and 10/15/2008 who completed within 150% of the normal time period: 24%
A first-time student has no prior postsecondary experience before enrolling at this campus. This means that a student who attended another college, university or other postsecondary school before enrolling at this school is not included in the calculation. The rate also does not include students initially enrolled part-time, taking individual classes (as compared to enrolling in a full program), or only auditing classes. These rates are calculated using the Student Right-to-Know formula in order to comply with U.S. Department of Education requirements. The statistics track all first-time, full-time and certificate or degree-seeking undergraduate students who began school during the date range and have completed within 150% of the normal program length. For example, for a two-year program, the graduation rate would include students who had completed within three years of beginning the program. This statistic is not specific to one program alone; rather, all applicable undergraduate programs are included in this overall rate. Information pertaining to the Graduation Rates of all postsecondary institutions recognized by the U.S. Department of Education may be found on the College Navigator website. http://nces.ed.gov/collegenavigator/×
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