Teaching Assistant Professor, Dept of Business Info & Analytics
The Daniels College of Business at the University of Denver invites applications for two (2) Teaching Assistant Professor positions in the Department of Business Information and Analytics (BIA) starting September 1, 2017. The Department of BIA is an academic unit of the Daniels College of Business at the University of Denver in Colorado. The University of Denver is the oldest independent university in the Rocky Mountain region, with approximately 11,600 students in undergraduate and graduate programs. DU is classified as a Doctoral/Research University with high research activity. The Daniels College is the eighth oldest collegiate business program in the U.S. and has held AACSB accreditation since 1923. The College offers both undergraduate and master degree programs. Current enrollment in Daniels includes more than 1,300 undergraduate and 1,000 graduate students. The BIA Department developed the first accredited interdisciplinary master's degree in business analytics in the United States. The curriculum challenges students to balance the three pillars of business analytics: information management, statistical and analytic modeling, and business decision making. The Department offers graduate programs (a master's in Business Analytics and a Business Analytics Certificate Program) and undergraduate majors and minors focusing on business analytics. Building on a legacy of leadership and first-mover advantage, the Department offers rigorous academic instruction, enjoys strong industry support, and has 15 full-time faculty members. The Department is well positioned to be a leader in the developing fields of Business Analytics and Business Intelligence.
The Teaching Assistant Professor in BIA is expected to teach nine courses throughout the academic year, which may include summer, fall, winter or spring quarters in the areas of applied business statistics, information technology, management information systems, business analytics, decision sciences, and/or data visualization. Teaching responsibilities may include both undergraduate and graduate level courses using face-to-face, hybrid and online delivery methods. Teaching responsibilities may involve day, night, evening, and weekend classes. Faculty members are expected to participate in Department and College faculty meetings, curriculum development, assurance of learning, and the advising of students. Faculty should be able to state past or proposed activities that promote diversity and equal opportunity (examples include, but are not limited to, developing strategies for the educational or professional advancement of students in underrepresented groups or activities such as recruitment, retention, and mentoring/advising of underrepresented students or new faculty.) At the Teaching Assistant Professor rank, the appointment is initially a one-year contract, renewable up to an additional two years pending satisfactory performance. A second contract may be awarded following a formal performance review.
Knowledge, Skills, and Abilities
- Demonstrated knowledge and experience with a variety of teaching methods and/or curricular perspectives to effectively engage diverse populations and learning styles.
- Demonstrated commitment to working with students from diverse backgrounds.
- Master's degree in statistics, information technology, management information systems, decision science, or related discipline. Other degrees (finance, marketing, management, or similar) will be considered with evidence of strong analytical training and/or experience.
- Demonstrated teaching excellence in statistics, information technology, decision sciences or related discipline.
- Work experience in one or more areas: statistics, information technology, business analytics, and/or education.
- Demonstrated commitment to the principles of multiculturalism/diversity/inclusive excellence through involvement and participation in university/division-wide projects and initiatives.
- Maintenance of appropriate faculty qualifications under AACSB standards.
- PhD in statistics, information technology, management information systems, decision science or related discipline.
- Active in the business community (e.g. through association membership, consulting, publications, presentations, etc.).
Class schedule, meetings, office hours and other service obligations.
For best consideration, please submit your application materials by June 19, 2017.
Candidates must apply online through www.du.edu/jobs to be considered. Only applications submitted online will be accepted. Once within the job description online, please scroll to the bottom of the page to apply. This position is expected to begin September 1, 2017. For questions about this position, please contact Scott Toney at
Please include the following documents with your application:
- Cover Letter
- List of three individuals who can serve as telephone references.
The University of Denver is committed to enhancing the diversity of its faculty and staff and encourages applications from women, minorities, members of the LGBTQ community, people with disabilities and veterans. The University is an equal opportunity/affirmative action employer.
All offers of employment are based upon satisfactory completion of a criminal history background check.