Gwynedd Mercy University 2026-2027 University Catalog
Students are expected to follow the program’ s course sequence toward degree completion. Time to Completion: Students normally complete the program in two years. Attendance Policies: Same as the University
Academic Progress, Probation and Program Dismissal: Academic Probation A student whose GPA falls below a 3.0 will be placed on academic probation and must improve their GPA to a 3.0 or higher within the next six credits attempted.
A student who earns a grade of C or C + will receive a notice of academic warning from the Dean.
Academic Dismissal A student who is placed on academic probation and fails to resolve the issue as outlined above will be dismissed from the program. A student who earns a C or C + in more than two courses, or who earns below a C in any course, will be dismissed from the program.
Students who are dismissed may apply for readmission one year after the date of dismissal. Acceptance for readmission is not guaranteed.
Cybersecurity and Artificial Intelligence Accreditation: N / A Degree: Master of Science Program Modality: Online Academic Program Director: Cindy Casey
Program Description: The Master of Science in Cybersecurity and Artificial Intelligence is a 30-credit, fully online program designed to prepare students to understand, develop, evaluate, and responsibly apply artificial intelligence across a variety of professional and technical settings. The curriculum combines a foundation in computer science with specialized study in artificial intelligence and provides opportunities for applied learning through an independent graduate-level project.
Students select one of two tracks based on their professional interests and career goals. The Human- Centered Artificial Intelligence Track examines the ethical, societal, legal, and organizational implications of artificial intelligence, with an emphasis on responsible AI, human decision-making, policy, governance, and the impact of AI across industries. The Machine-Centered Intelligence Track provides a more technical focus on the design, development, and evaluation of intelligent systems through study in machine learning, deep learning and neural networks, mathematics for artificial intelligence, and related technologies.
Throughout the program, students develop the technical knowledge, critical-thinking skills, and ethical awareness necessary to evaluate emerging AI technologies, address real-world challenges, and contribute responsibly to the evolving field of artificial intelligence.
Program Learning Outcomes: PLO1: Apply logical, analytical, and abstract reasoning to evaluate, design, and test AI systems, models, and applications.
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