COURSE DETAIL
NGC 602 Data Science Applications in Healthcare
Credit hours: 3 per Quarter
Cluster: Research Methodology,
https://catalog.buffalo.edu/courses/index.php
Course Level: Doctoral
Course Type: PhD
IPE: No
Course Open to: PhD Students
Institution:University at Buffalo
Pre-requisites: Contact Louiza Case at louizaca@buffalo.edu 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
email: louizaca@buffalo.edu
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
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