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 firstname.lastname@example.org 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 Tuesdays from 4:00 pm - 6:50 pm EST.
Available Seats by Semester for this course:
Section: NGC 602
Instructor:Dr. Sharon Hewner
Credits: 3 / Quarter
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