Professional Affiliation Granted to New Master of Science Program
The University of Findlay’s Master of Science in Applied Security and Analytics Program (MSASA) has received Professional Science Master’s affiliation.
The designation recognizes UF’s program as providing multidisciplinary instruction for high-level careers in computer science that have a strong emphasis on professional skill areas such as management and policy combined with emerging technologies in cybersecurity and analytics which are redefining the industry. Students who receive such degrees are expected to progress toward leadership roles.
“PSM programs are unusually nimble in adjusting to shifting workforce demands and to rapidly changing research strategies and technologies; most have established advisory committees of local employers to ensure their curriculum is responsive to regional workforce needs,” the organization which designates affiliation states on its website.
“The Master of Science in Applied Security and Analytics Program will produce graduates highly valued by employers,” said Mary Jo Geise, Ph.D., professor of computer science, co-chair of UF’s Computer Science Program and MSASA director. “The MSASA Program was designed using the PSM guidelines to combine advanced graduate coursework in computer science with professional skills development and a capstone experiential learning project which will integrate concepts of technical leadership into cybersecurity and analytics.”
UF’s program, which is the only one of this kind being offered in Ohio, began in spring 2016. Catering to workforce demand and nontraditional student schedules, it features evening and online courses, and is designed to be completed in two years. The completion of 11 courses that focus on technical and professional skills is required.
An advisory board comprised of local and regional industry leaders ensures that the program’s offerings remain up to date with industry trends.
For more information on the University of Findlay’s Master of Science in Applied Security and Analytics Program, contact Geise at 419-434-4554 or firstname.lastname@example.org.