DS 680 Data Science Internship

The student will be involved in designing, participating in, and reflecting upon the internship experience. An internship is a planned new learning activity, which provides the student with a business-related learning experience designed to enhance competency while integrating theory and practice within a given field. Students can repeat their internship for the second quarter in sequence.

Credits

3

Prerequisite

The student must have completed a minimum of 18 credit hours in MSDS and be currently enrolled in a graduate program at City University with a cumulative GPA of 3.25 or higher. This class is repeatable for credit.

Outcomes

1. As a result of this course, students will know or be able to do the following:
2. Integrate a foundational knowledge of all areas of advanced computer science
3. Apply fundamental principles and practices of advanced computer science.
4. Apply critical and ethical thinking to solve problems in advanced computer science.
5. Evaluate data to inform decisions and solve problems in advanced computer science.
6. Express ideas while applying a variety of delivery models, genres, and styles.
7. Create collaborative, diverse teams to accomplish a common goal.