Program Chair, M.S. Business Analytics
The Department of Computing Sciences and Mathematics at Franklin University invites applications for an on-campus, full-time, year-round, chairperson for Master’s Program in Business Analytics and lead faculty for Data Analytics courses in the College of Arts, Sciences, and Technology, beginning immediately. Franklin University is a private, independent, regionally accredited, not-for-profit university located in Columbus, Ohio.
Franklin offers a Bachelor of Science with majors in several computing areas including Computer Science, Cybersecurity, Information Technology, Information Systems, and Web Development. Master’s degrees in Computer Science, Cybersecurity, Information Technology, Data Analytics and Business Analytics are also offered. Faculty members at Franklin work in a highly collaborative environment; teaching, developing, and supporting courses for delivery by full-time and adjunct faculty. As a business analytics master’s program chair, the successful candidate will:
- Provide overall academic program leadership.
- Collaborate with the Marketing Department to promote the program.
- Develop and revise curriculum and Program objectives in alignment with standards of practice and certification requirements with regard to the appropriate accreditation bodies.
- Develop Program Advisory Board(s) and regularly convene Advisory Board(s) meetings.
- Complete an annual Program Assessment in coordination with the Assessment Office.
- Provide leadership and supervision of program adjunct faculty including annual meetings and evaluations.
- Participate in, and provide leadership for, program-related activities in support of College and University strategic planning/ implementation efforts.
- Teach courses in the Business Analytics and Data Analytics programs in accordance with the faculty handbook guidelines.
- Cultivate a relationship between the Business Analytics Master’s program and the community, and engage in professional development activities.
- Actively serve as a Faculty Senate Officer or as a member of one Faculty Senate Committee.
- Develop and maintain courses in Data and Business Analytics within a standardized curriculum model.
- Other duties as assigned by the Department Chair or Dean.
Applicants for this full-time position must possess a doctoral degree in information systems, computer science, data science or a closely related discipline from a regionally accredited institution. At least 18 graduate credits in business intelligence or data science and three years of college teaching experience are required. ABD candidates with substantial evidence of progress toward completion will be considered. Industry experience, a broad range of knowledge in data sciences, strong communication skills, a research track record, and experience with curriculum development, adult education and online education are desired. Faculty must work effectively with students, staff, and other faculty, both adjunct and full-time.
Founded in 1902, Franklin University has built its reputation on removing barriers to higher education for ambitious adults who must balance their educational goals with other commitments. Accredited and nonprofit, Franklin has earned its long-standing reputation as an innovator in online education. The University offers applied, in-demand undergraduate, master’s and doctorate programs that enable adult learners to achieve their educational and professional goals. From entrepreneurs to CEOs, more than 45,000 Franklin alumni can be found around the world contributing to the communities in which they live and work.
Franklin offers a competitive benefits package, incentive program and free parking. In addition, Franklin provides free undergraduate tuition for employees and immediate family members, graduate tuition assistance for full-time employees and immediate family members, and a discount on doctoral tuition for employees.
Franklin University is committed to creating a respectful and inclusive educational and workplace environment. Franklin does not discriminate on the basis of age, religion, race, ethnicity, color, national origin, ancestry, immigration status, sex, sexual orientation, gender identity or expression, marital or familial status, disability, or veteran or military status.