DATA695
Download as PDF
Research Capstone in Data Science and Analytics
Subject
DATA - Data Science
Description
Exposure to advanced data analytics methods and research methods applied to subdomains of data science, including business analytics and big data problems in healthcare.
Prerequisite: Consent of Department.
Antirequisite(s): Credit for Data Science 695 and 693 will not be allowed.
NOT INCLUDED IN GPA
Prerequisite: Consent of Department.
Antirequisite(s): Credit for Data Science 695 and 693 will not be allowed.
NOT INCLUDED IN GPA
Signature Learning
Entrepreneurial Thinking, Research & Creative Scholarship , Work Integrated Learning
Course Attributes
Entrepreneurial Thinking - Focused, Fee Rate Group(Domestic) - I, Fee Rate Group(International) -A, GFC Hours (6-0), WIL Field Placement, Research & Creative Scholarship - Focused
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Units
6
Repeat for Credit
No
Subject code
DATA