DATA693
Download as PDF
Professional Internship in Data Science and Analytics
Faculty of Science
SC - Faculty of Science
Subject
DATA - Data Science
Description
Students will integrate professional competencies and advanced analytical tools and apply them to a specific domain.
Corequisite(s): Data Science 691.
Antirequisite(s): Credit for Data Science 693 and 695 will not be allowed.
NOT INCLUDED IN GPA
Corequisite(s): Data Science 691.
Antirequisite(s): Credit for Data Science 693 and 695 will not be allowed.
NOT INCLUDED IN GPA
Course Attributes
Fee Rate Group(Domestic) - H (half), Fee Rate Group(International) -G (half), GFC Hours (200 HOURS), WIL Internship
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
LAB
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.