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

  • Classes start in 5 Weeks

  • Checkmark icon Total Credits  96

This program is available at the following campuses and/or online: Online

Program Details

Concentrations
Career Paths
Curriculum
Graduation Requirements
  • Concentrations

    Big Data Analytics is just one of the industry-relevant concentrations CTU offers in the Doctor of Computer Science degree program. Choose the option below that best supports your educational goals.

    Headset icon Contact an Admissions Advisor for additional concentration information
  • Career Paths

    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.

    Headset icon Request more information now
  • Curriculum

    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.

    Headset icon Contact an Admissions Advisor for additional curriculum information Pages icon View the complete Course Catalog for all required courses
  • Graduation Requirements

    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.

    Headset icon Contact an Admissions Advisor for additional information Pages icon 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

Gainful Employment Disclosure Button
 
 

Online Programs - Graduation Rate

The percentage of first-time, full-time undergraduate students who started between
7/1/2007 and 10/15/2007 who completed within 150% of the normal time period: 20%

Learn More  

Graduation Rate

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/

×

Need help choosing the right degree program?

Request Information Chat Now
Terms and Conditions By providing your mobile number, you agree to receive text messages from Colorado Tech via its mobile text message provider.  You may opt out of receiving messages by texting the word STOP to 94576, or simply reply with the word STOP to any text message you receive from Colorado Tech. While CEC or its mobile text message provider will not charge end users for receiving/responding to promotional messages, depending on the terms of your mobile phone plan, you may incur a cost from your mobile service carrier to receive and respond to any promotional text messages (standard messaging and data rates/fees and other charges may apply).  Charges will appear on your mobile phone bill or will be deducted from pre-paid amounts.  Current participating/supported carriers are: Alltel, AT&T, Boost, Cellcom, Cellular One, Cellular South, Cincinnati Bell, Cricket, Element Wireless, Golden State Cellular, iWireless, Metro PCS, Nextel, nTelos, Plateau Wireless, Sprint, T-Mobile, US Cellular, Verizon Wireless, Viaero Wireless, Virgin, and more.×