Internships for Credit
Qualified undergraduate or graduate business students enrolled in a degree program of the Walker School of Business and Technology may be able to earn academic credit for learning gained from a quality internship opportunity that is directly related to the degree.
Undergraduate students must have completed the equivalent of 4 full semesters (60 credit hours) with a minimum
of 12 credit hours of core courses in their Walker School degree program. A minimum
cumulative grade point average of 2.5 on a scale of 4.0 is required, unless waived.
Typically, undergraduate students can earn 1 to 6 hours of academic credit.
Graduate students must be registered either as a full-time or part-time student in a program that will result in an advanced degree from the Walker School. Graduate students must have completed at least 12 credit hours and hold a minimum cumulative grade point average of 3.0 on a scale of 4.0, unless waived. Typically, graduate students can earn 3 to 6 hours of aca-demic credit.
International students on F-1 visas need to have been in F-1 status for at least one full academic year before they are eligible to apply for internship. Students will need approval from International Services in the Office of Admissions before they can begin their internship. Information about U.S. regulations are available from International Services in the Office of Admissions located at:
The Welcome Center – Office of Admissions and International Services
Webster Hall, Room 130
470 E. Lockwood Avenue
St. Louis, MO 63119
Once a WSBT students has secured an internship the student will need to complete the following forms which comprise the application packet to apply for academic credit for the internship. All forms must be completed, printed, signed, and returned to the appropriate faculty director for each department:
- Internship Application Proposal
- Statement of Understanding
- Responsibilities of the Host Organization and Supervisor
- Business Department
- Dr. Elizabeth Risik
- Management Department
- Dr. Dustin Smith
- Math & Computer Science Dept.
- Professor Al Cawns