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NRSG 934 Foundations of Data Science
Credit hours: 3 per Semester
Cluster: Quantitative Research Methods, Mixed Methods


Course Level: Doctoral Foundational

Course Type: PhD

IPE: Yes - Course offered by CON/SON that focuses on interprofessional collaboration/communication/teamwork and allows interprofessional students from the teaching institution

Course Open to: all

Institution:University of Kansas

Pre-requisites: Admission to the SON PhD program, Graduate level research course (NSRG 754 or equivalent), or Consent of Instructor.

Course Description: The course is designed to provide students with foundational knowledge about data science and big data. Students will learn the skills to participate on and lead interprofessional teams analyzing health and other related data to build knowledge and apply findings to practice. Topics to be examined will include diverse types and sources of data, data management techniques, exploratory data analysis approaches, and data visualization. Open to DNP and PhD students only.


Method of Instruction: other

Delivery Platform: Blackboard

Campus visits required: NA

Course Contact: Katharine Garrity



Tuition: NEXus Common Price


Other considerations: Open to DNP/PhD Students only.


Available Seats by Semester for this course:


FALL 2019

Section: 1001
Instructor: TBA
Seats: 3
Credits: 3 / Semester
Start Date: 08-26-19
End Date: 12-12-19

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FALL 2020

Section: 1001
Instructor: Nancy Dunton
Seats: 3
Credits: 3 / Semester
Start Date: 08-24-20
End Date: 12-10-20

FALL 2021

Section: 1001
Instructor: Nancy Dunton
Seats: 3
Credits: 3 / Semester
Start Date: 08-23-21
End Date: 12-09-21

Funding to develop this project was provided in part by the U.S. Department of Education's Fund for the Improvement of Postsecondary Education
and the Alfred P. Sloan Foundation.
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