Doctor of Philosophy in Data Science

Learn how to leverage the power of data

Data has become the cornerstone of many industries, from retail, healthcare and manufacturing to all levels of government. Organizations use data to provide better services and ensure their success, but it requires ongoing work to gather, secure and utilize it properly. Data scientists are the professionals that help organizations unleash the power of data to make informed decisions and drive growth.

A research-oriented program aligned with industry needs

Our Doctor of Philosophy in Data Science program is designed to help students get an edge in this dynamic, emerging field. Not only will students gain in-depth knowledge of critical topics, they’ll learn from curriculum that’s aligned with industry’s needs, including the CRISP structure. Students will also get the opportunity to get hands-on experience.

This research-oriented program is designed and taught by experienced technology professionals to offer both current information and practical, real-world knowledge. Students will explore a broad range of vital 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.

At Northcentral University you can complete your Doctor of Philosophy in Data Science program completely online. You’ll receive unmatched personal attention with our unique one-to-one learning model. This unique learning approach pairs you with a single professor in each course so that you get the support and guidance you deserve. We also have weekly start dates to offer you the flexibility you need to fit continued education into your busy schedule.

Program Learning Outcomes

  • 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

Career Potential*

  • Computer and Information Systems Managers
  • Computer and Information Research Scientists
  • Database Administrators
  • Network and Computer Systems Administrators
  • Computer Network Architects
  • Statisticians(1)
  • Database Architects
  • Data Warehousing Specialists
  • Business Intelligence Analysts
  • Search Marketing Strategists
  • Document Management Specialists
  • Computer Science Teachers, Postsecondary
*Positions may require additional experience, training and other factors beyond successfully completing this degree program. Many roles may also require state licensure, and it is the responsibility of the student to ensure that all licensure requirements are met.

PhD in Data Science Program at a Glance

Total Credit Hours: 60 Credit Hours
Courses: 20 Courses
Recommended Completion Time: 40 Months
Next Start Date: Every Monday
Classroom Size: One