NEXus Online Course Exchange

Powered by WICHE-OCE



Back to List



NGC 602 Data Science Applications in Healthcare
Credit hours: 3 per Quarter
Cluster: Research Methodology,


Course Level: Doctoral

Course Type: PhD


Course Open to: PhD Students

Institution:University at Buffalo

Pre-requisites: Contact Louiza Case at for list of prerequisites.

Course Description: The interdisciplinary course introduces students to data science and provides hands-on experience in using existing electronic health data. Interdisciplinary teams of students from the health professions will be paired with students from engineering, bioinformatics, geography, or management to develop research questions that can be answered using data science. Students must have a good understanding of the healthcare system, healthcare applications of informatics and graduate level statistics. Guest lecturers will be employed to show the diversity of disciplines using data science to improve health outcomes. This course is intended to prepare students to use data science in their dissertation or capstone research.


Method of Instruction: synchronous

Delivery Platform: UB Learns/Blackboard

Campus visits required: No

Course Contact: Louiza Case



Tuition: NEXus Tuition


Other considerations: Course is offered online on Thursdays from 4:00 pm - 6:50 pm EST.


Available Seats by Semester for this course:


FALL 2019

Section: NGC 602
Instructor: Dr. Sharon Hewner
Seats: 3
Credits: 3 / Quarter
Start Date: 08-26-19
End Date: 12-06-19

Type your comments here

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.
Copyright © 2021. All Rights Reserved | Privacy