Admission Requirements

Students applying for the accelerated program are not required to have completed their bachelor degree prior to pursuing the master program. The following requirements must be met before an individual can be admitted into this program:

• The student must be seeking the bachelor’s degree in Machine Learning & Autonomous Systems
• The student must have completed a minimum of 75 credit hours toward the bachelor degree at time of application for admission to the accelerated program
• The student’s cumulative undergraduate GPA must be at least 3.0
• Student must meet all other Graduate School admission criteria as outlined in the Graduate School Handbook
• A student who has completed all coursework for the bachelor’s degree is not eligible for the accelerated program
• The student will be admitted into the accelerated program with a special graduate admission status
• Upon successful completion of 9 credits that count towards both bachelor and master degree, the student will receive full admission to the master program 

Graduation Requirements

• If all other bachelor degree requirements are met, after completion of the nine (9) graduate credit hours from the master degree that are counted toward the bachelor’s degree in Machine Learning & Autonomous Systems, the student can apply to be awarded the bachelor’s degree. This may occur 1 to 2 semesters prior to completion of the master’s degree.
• The student must complete 32 graduate credit hours with a graduate GPA of at least 3.0., including the 9 credits that count towards both bachelor and master degrees.
• In the event that the student begins this program but does not wish to finish the M.S. in Integrated Systems Design & Dynamics degree requirements, the student must notify the College Dean’s Office and Graduate School office immediately. A notation on the student’s transcript will indicate courses taken at the graduate level were applied to the bachelor’s degree only.

Course Requirements