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 3 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.

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  • 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 Download the complete Course Catalog for additional 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 Download the complete Course Catalog for additional required courses

Student Disclosures

Online Programs publishes certain disclosures on this website to assist students in understanding facts about their programs. Click to find aggregate and specific information that we provide pursuant to the United States Department of Education regulations.

Below you will find placement rates and other information tailored to your chosen campus and program.


  Program Disclosure Information for: Online Programs - Big Data Analytics

Program Costs

Q:
How much will this program cost me?
A:

  • $57,408.00Tuition & Fees
  • $0.00Books & Supplies
  • $0.00Room & Board

 

 

Tuition pricing is subject to change and can vary by location and program structure.

 

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Program Costs

The US Department of Education categorizes educational programs offered at an institution by CIP code (Classification of Instructional Program codes as defined by the Department of Education) and degree level (Associates, Bachelors, etc…). For that reason, all educational programs with the same CIP Code and degree level are combined to calculate program costs. While these combined programs are similar, variations in tuition and fees can exist due to differences in location and/or program structure.

The costs shown are calculated using the average costs of all programs offered by the campus within the same CIP Code and degree type, for students that complete the program within the normal period of time.

Room and Board information represents the average cost of optional institutional housing where offered.

This Campus is part of a larger institution that contains the following additional campuses:

  • CTU-Online
  • CTU-Online
  • CTU - Colorado Springs
  • CTU - Colorado Springs
  • CTU - Denver
  • CTU - Sioux Falls
  • CTU - North Kansas City
  • CTU - Denver North
  • CTU - Pueblo

The costs of similar programs calculated as an average across all campuses for this Institution are as follows:

  • $57,408.00Tuition & Fees
  • $0.00Books & Supplies
  • $0.00Room & Board

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Financing

Q:
What are my financing options to pay for this program?
A:

In addition to any grant or scholarship aid for which students might be eligible, students may use loans to finance their education. The median loan debt for graduates of this program is as follows:

  • $73,407.00Federal
  • $0.00Private
  • $10.00Institutional

 

 

The amounts shown above represent the median debt incurred by students of the given Institution who completed the program between 7/1/2012 and 6/30/2013.

 

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Financing

The US Department of Education categorizes educational programs offered at an Institution by CIP code (Classification of Instructional Program codes as defined by the Department of Education) and degree level (Associates, Bachelors, etc…). For that reason, all similar educational programs for the given Institution1, with the same CIP Code and degree level are combined to calculate Loan Debt. While these combined programs are similar in nature, variations in program costs may exist due to differences in location and/or program structure. Accordingly, the debt amount shown may exceed the specific program's tuition and fees.

The Financing amounts represent the median debt from federal Title IV loans, private educational loans and institutional2 payment plans incurred by all graduates of the given Institution, CIP Code and Degree level.

1  The current Institution includes all of the following campus locations:

  • CTU-Online
  • CTU-Online
  • CTU - Colorado Springs
  • CTU - Colorado Springs
  • CTU - Denver
  • CTU - Sioux Falls
  • CTU - North Kansas City
  • CTU - Denver North
  • CTU - Pueblo

2  Institutional debt is the amount owed by the students directly to the institution within 30 days after graduation related to the educational program.

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Success

Q:
How long will it take me to complete this program?
A:

This program could take 36 months to complete.

21.88% of the students graduating from this program completed in the designed timeframe.

Q:
What job opportunities exist for students in this area of study?
A:

View 10 opportunities

The occupation(s) listed here are derived from the Occupational Information Network (O*Net), which is developed under the sponsorship of the U.S. Department of Labor / Employment and Training Administration.

The specific program does not necessarily prepare students for, and graduates do not typically find employment in, all listed occupations. We cannot guarantee employment or salary.

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Program Completion

The US Department of Education categorizes educational programs offered at an Institution by CIP code (Classification of Instructional Program codes as defined by the Department of Education) and degree level (Associates, Bachelors, etc…). For that reason, all similar educational programs for the given Institution1, with the same CIP Code and degree level are combined when determining On Time Completion Rates.

On-Time Completion Rates are calculated in compliance with U.S. Department of Education requirements for Gainful Employment. The rate represents the percentage of students who graduated between 7/1/2012 - 6/30/2013 and completed their program of study within the normal timeframe. “Normal” timeframe for Associate Degree programs is defined as 24 months, and for Bachelor Degree programs is defined as 48 months. Students may finish in fewer months upon successful completion of all program requirements, attending full-time and remaining continuously enrolled. For example, for a two-year program the on-time completion rate would include all students who graduated between 7/1/2012 and 6/30/2013 and started within the prior two years. On-time completion rates for students in programs other than an Associate or Bachelor program are calculated based on the designed timeframes of each individual’s specific program version; therefore, the result may not fully correlate to the number of months displayed because the calculation may have included students in versions of the program with varying timeframes. The program length displayed for programs other than an Associate or Bachelor program represents the number of months defined as the normal timeframe for completion in which new students may finish the program upon successful completion of all program requirements, attending full-time and remaining continuously enrolled.

1  The current Institution includes all of the following campus locations:

  • CTU-Online
  • CTU-Online
  • CTU - Colorado Springs
  • CTU - Colorado Springs
  • CTU - Denver
  • CTU - Sioux Falls
  • CTU - North Kansas City
  • CTU - Denver North
  • CTU - Pueblo

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For additional information on program costs and available financial aid options, visit the Net Price Calculator

 

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%

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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/

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Employment Rates:

No Campus Rates are available.

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