DATA695
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Research Capstone in Data Science and Analytics
Faculty of Science
SC - Faculty of Science
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.
Corequisite(s): Data Science 691.
Antirequisite(s): Credit for Data Science 695 and 693 will not be allowed.
NOT INCLUDED IN GPA
Corequisite(s): Data Science 691.
Antirequisite(s): Credit for Data Science 695 and 693 will not be allowed.
NOT INCLUDED IN GPA
Course Attributes
Fee Rate Group(Domestic) - H (half), Fee Rate Group(International) -G (half), GFC Hours (6-0), WIL Field Placement
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
Understanding Course Information
Please refer to Course Terminology and Description to better understand how to interpret course information such as GFC Hours, pre-requisites, course levels, etc.