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Doctor of Philosophy
In Data Science
(PhD-DS)

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100% ONLINE PhD-DS

Complete your studies on your own time.

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NEW START DATE EVERY MONDAY

Start your first course when it’s convenient for you.

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40 MONTHS TO YOUR PhD-DS

Finish your PhD-DS in just 20 courses.

National and Northcentral have merged, and this program is now offered by NU. Learn more.

Home » Programs » Doctor of Philosophy in Data Science 

Unleash the Power of Data with NU’s PhD-DS

Make informed decisions and drive growth with the 100% online Doctor of Philosophy in Data Science (PhD-DS) degree program at National University. Get an edge in the dynamic data science field by increasing your knowledge through a PhD-DS that’s aligned with industry needs, including the CRISP structure. 

NU’s PhD-DS program is designed and taught by experienced technology professionals so you’ll build practical, real-world knowledge. You’ll explore a broad range of relevant topics, including data mining, big data integration, databases, and business intelligence. Additionally, the curriculum covers data visualization, critical analysis and reporting along with the strategic management of data.

The PhD-DS degree program will prepare you to conduct research in data science by exploring each stage of the data science life cycle in depth from an applied perspective and a theoretical perspective. Receive unmatched personal attention through NU’s unique one-to-one learning model, which pairs you with a professor in each course, so you get the support and guidance you deserve.

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Course Details

  • Credit Hours: 60
  • Courses: 20
  • Estimated Time to Complete: 40 months

The Doctor of Philosophy in Data Science (PhD-DS) program can be completed in 60 credits. Each course runs 8 weeks and dissertation courses run 12 weeks.

Course Sequence

The PhD program may be completed in a minimum of 60 credits. Additional credit hours may be allowed as needed to complete the dissertation research. If granted, additional courses will be added to the student degree program in alignment with the SAP and Academic Maximum Time to Completion policies. Students who do not complete their program in accordance with these policies may be dismissed.

Course Name

*Those whose writing skills need additional practice, as determined by three or more items scored as “needs improvement,” will be required to take TIM-7200.

Degree Requirements

The University may accept a maximum of 12 semester credit hours in transfer toward the doctoral degree for graduate coursework completed at an accredited college or university with a grade of “B” or better.

The PhD-DS degree program also has the following requirements:

  • GPA of 3.0 (letter grade of “B”) or higher
  • University approval of Dissertation Manuscript and Oral Defense completed
  • Submission of approved final dissertation manuscript to the University Registrar, including the original unbound manuscript and an electronic copy
  • Official transcripts on file for all transfer credit hours accepted by the University
  • All financial obligations must be met before the student will be issued their complimentary diploma and/or degree posted transcript

The PhD-DS degree prepares you to conduct research in data science by exploring each stage of the data science life cycle from both a theoretical and applied perspective. You’ll explore a broad range of related topics, including data mining, big data integration, business intelligence, data visualization, critical analysis, and strategic data management. These skills will qualify you to pursue a range of occupations that include:

  • Data Scientist
  • Data Engineer
  • Data Science Manager or Director
  • Machine Learning Engineer or Scientist
  • Research Scientist or Analyst

According to Emsi labor market analytics and economic data1, data science careers span a variety of technology, manufacturing, and service sectors, including:

  • Professional, Scientific, and Technical Services
  • Manufacturing
  • Finance and Insurance
  • Colleges and Universities
  • Retail
  • Information Services

SOURCE: Emsi Labor Analyst- Report. Emsi research company homepage at https://www.economicmodeling.com/company/ (Report viewed: 4/19/2022).

DISCLAIMER: The data provided is for Informational purposes only. Emsi data and analysis utilizes government sources to provide insights on industries, demographics, employers, in-demand skills, and more to align academic programs with labor market opportunities. Cited projections may not reflect local or short-term economic or job conditions and do not guarantee actual job growth. Current and prospective students should use this data with other available economic data to inform their educational decisions.

Dissertation Process

Faculty assists each NU Doctoral student to reach this high goal through a systematic process leading to a high-quality completed dissertation. A PhD dissertation is a scholarly documentation of research that makes an original contribution to the field of study. This process requires care in choosing a topic, documenting its importance, planning the methodology, and conducting the research. These activities lead smoothly into the writing and oral presentation of the dissertation.

A doctoral candidate must be continuously enrolled throughout the series of dissertation courses. Dissertation courses are automatically scheduled and accepted without a break in scheduling to ensure that students remain in continuous enrollment throughout the dissertation course sequence. If additional time is required to complete any of the dissertation courses, students must re-enroll and pay the tuition for that course. Continuous enrollment will only be permitted when students demonstrate progress toward completing dissertation requirements. The Dissertation Committee determines progress.

Program Learning Outcomes

As a graduate of National University’s Doctor of Philosophy in Data Science (PhD-DS) program, you’ll be able to:

  • Develop knowledge in data science based on a synthesis of current theories
  • Explain theories, applications, and perspectives related to data science
  • Evaluate theories of ethics and risk management in information systems
  • Formulate strategies for data and knowledge management in global organizations
  • Contribute to the body of theory and practice in data science

Admissions

Enrolling in a university is a big decision. That’s why our dedicated admissions team is here to guide you through the admissions process and help you find the right program for you and your career goals.

To that end, we’ve simplified and streamlined our application process, so you can get enrolled in your program right away. Because we accept and review applications year round, you can begin class as soon as next month, depending on your program and location of choice.

Learn more about undergraduate, graduate, military, and international student admissions, plus admissions information for transfer students. You can also learn more about our tuition rates and financial aid opportunities.

To speak with our admissions team, call (855) 355-6288 or request information and an advisor will contact you shortly. If you’re ready to apply, simply start your application today

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Program Disclosure

Successful completion and attainment of National University degrees do not lead to automatic or immediate licensure, employment, or certification in any state/country. The University cannot guarantee that any professional organization or business will accept a graduate’s application to sit for any certification, licensure, or related exam for the purpose of professional certification.

Program availability varies by state. Many disciplines, professions, and jobs require disclosure of an individual’s criminal history, and a variety of states require background checks to apply to, or be eligible for, certain certificates, registrations, and licenses. Existence of a criminal history may also subject an individual to denial of an initial application for a certificate, registration, or license and/or result in the revocation or suspension of an existing certificate, registration, or license. Requirements can vary by state, occupation, and/or licensing authority.

NU graduates will be subject to additional requirements on a program, certification/licensure, employment, and state-by-state basis that can include one or more of the following items: internships, practicum experience, additional coursework, exams, tests, drug testing, earning an additional degree, and/or other training/education requirements.

All prospective students are advised to review employment, certification, and/or licensure requirements in their state, and to contact the certification/licensing body of the state and/or country where they intend to obtain certification/licensure to verify that these courses/programs qualify in that state/country, prior to enrolling. Prospective students are also advised to regularly review the state’s/country’s policies and procedures relating to certification/licensure, as those policies are subject to change.

National University degrees do not guarantee employment or salary of any kind. Prospective students are strongly encouraged to review desired job positions to review degrees, education, and/or training required to apply for desired positions. Prospective students should monitor these positions as requirements, salary, and other relevant factors can change over time.

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