The University of Mary Washington and George Mason University have renewed partnerships designed to accelerate student success and open the door to additional agreements between the two schools beginning as early as next year.
A signing ceremony reconfirming the universities’ accelerated degree pathway programs in computer science, engineering and law took place in the Dodd Auditorium foyer in UMW’s George Washington Hall, with provosts, deans and other administrators in attendance.
“A lot of work has gone into the efforts to make today what it is,” said UMW Provost Tim O’Donnell, who signed the official document along with George Mason Provost James Antony. “It’s really a prelude to more work to come, ultimately work that will be good work because it will benefit our students, our faculty and our programs.”
The UMW-Accelerated Mason Program graduate pathways permit dual enrollment, allowing Mary Washington students to combine undergraduate and graduate degree requirements and reducing the time it takes to earn a master’s degree and unlock increased earning potential. They also allow participants to roll tuition and fees into existing financial aid packages, facilitate data sharing between the two schools and ultimately improve student outcomes at both universities.
“In other words, it gives your talented students and our talented students a chance to gain a competitive edge in a field of study by exposing them to advanced skills and knowledge earlier and allowing them to complete their degrees hopefully more quickly,” Antony said. “And I think that’s what we all really want.”
During their senior year, approved Mary Washington students can enroll in a master’s program at George Mason’s College of Engineering and Computing and earn as many as nine credits of graduate-level coursework. Participants can apply those credits toward both their bachelor’s degree at UMW, as electives, and their master’s degree at George Mason, allowing them to complete a master’s in as little as one additional year.
Eligible programs include Applied Information Technology, Computer Science, Data Analytics Engineering, Operations Research, Statistics and Systems Engineering.
