More information about this degree program can be found in the College of Engineering section of the catalog.
To see course descriptions, click on any linked course number, or click on “Course Descriptions” in the side banner, or view course descriptions in Lipscomb’s online digital catalog.
The Master of Science in Applied Artificial Intelligence program explores the foundations, languages, case studies, and ethical impacts of artificial intelligence. Discipline-specific application sequences explore AI solution trends which solve problems and explore outcomes in a variety of specific industries- healthcare, business, education, liberal arts, engineering, entertainment, and more. Finally, students cooperate to build AI projects in an innovative educational setting designed to meet the needs of particular industrial applications where AI is emerging as the preferred solution strategy.
The masters degree program requires 30 credits of graduate study comprised of 15 credit hours from a core of AI courses, a combination of 6 credit hours discipline-specific AI application courses and 6 credit hours of discipline-specific AI Studio courses, and a 3 credit hour capstone. The certificate requires 12 credits.
The schedule and offering format of the courses in the degree are designed to better accommodate remote participants alongside an on-ground contingent of students. Course delivery formats are 8-week sections in Term-I or Term-II of fall, spring, and summer semesters which meet one night per week (Thursdays) from the hours of 5:30-8:00 pm. This gives on-ground meeting students sufficient time to travel to campus for face-to-face interactions, and on days when classes are not meeting it gives all students time to meet in small groups.
Students with backgrounds in computer languages, programming, or similar experience can elect to test out of the first language-based course (MSAI 5523 Language of Computation) by passing an exam (CBE) covering basic and advanced topics of computer languages.
Projects and Studio Work: Individual and group projects are a required component of most graduate classes. Most group projects are facilitated with a combination of online meetings, emails, and phone calls. As part of the curriculum, students will complete a capstone project which can be designed to support items such as an employer’s strategic initiative or an entrepreneurial opportunity. Each student will work with a faculty mentor to define the capstone and advance through the process of completing the requirements of this project.