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University at Buffalo

UB Academic Schedule: Summer 2023 (Session University 12 Week Session : May 30 - Aug 18)

This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.

Departments may offer courses in many different sessions. The majority of summer courses are offered in the following sessions: Six Week-First, Six Week-Second, Six Week-Third and Twelve Week. You may want to begin your search for courses in these sessions.


MGQ 496TUT - Data Analytics Internship
Data Analytics Internship IQ1 Enrollment Information (not real time - data refreshed nightly)
Class #:   12266   Enrollment Capacity:   0
Section:   IQ1   Enrollment Total:   0
Credits:   1.00 - 3.00 credits   Seats Available:   0
Dates:   05/30/2023 - 08/18/2023   Status:   CLOSED
Days, Time:   TBA , TBA
Room:   ARR  
Location:   Off Campus (US Only)      
  Course Description
Provides students with an opportunity to apply classroom theories to hands-on, project based learning in real world, professional work environments (employer sites), and then reflect upon those experiences through assignments as detailed in the corresponding syllabus. To secure these learning opportunities, students apply to appropriate postings vetted by the Internships and Experiential Learning (IEL) team, in an on-line database, and are eligible to be selected by employers for interviews. Students are also allowed to locate internships outside of this database and report them to the IEL team for review and approval. Each employer site assigns a specific project to the student to be completed within the 150 hours during the course of a semester. Students participate in these opportunities under the supervision and mentorship of an on-site professional with expertise related to the curriculum, and receive exposure to and practice in day-to-day operations. In this specific course, these opportunities are based in the area of Data Analytics.
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  On-line Resources
Other Courses Taught By: Gardner