Visiting Teaching Assistant Professor, Business Information and Analytics

Job description

Daniels is proud to be among the top business schools nationally and internationally to receive recognition for its graduate and undergraduate programs from U.S. News & World Report, Bloomberg Businessweek, Financial Times and Forbes. With over 300 days of sunshine a year, the nations largest city park system and a thriving business community, a Pew Research Study lists Denver as the #1 city in which people want to live. The Department of Business Information and Analytics (BIA) merges the disciplines of Information Technology, Statistics and Operations Management into a department focusing on the key needs of todays organizations to create, manage and understand the wealth of information they possess. The Department of BIA offers a masters in Business Analytics and an undergraduate major in business analytics with minors focusing on business analytics or statistics. Building on a legacy of leadership and first-mover advantage, the Department offers rigorous academic instruction, enjoys strong industry support and has 18 full-time faculty members. The Department is well positioned to be a leader in the developing fields of Business Analytics and Business Intelligence.

Position Summary

The positions have a teaching responsibility of three classes per 10-week quarter for three quarters - September-November, January-March, and March-June. The areas of interest include statistics, predictive analytics, project management, simulation, optimization, and programming in Excel VBA and Python.

Teaching responsibilities may include both undergraduate and graduate level courses using traditional and hybrid delivery methods. Teaching responsibilities may involve day and night 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 persons.)

Essential Functions

  • Teaching: Expected to teach nine core courses throughout the academic year, which includes fall, winter and spring quarters in a combination of the areas of statistics, predictive analytics, project management, simulation, optimization, and programming in Excel VBA and Python.
  • Research, Scholarship, or Creative Work: Teaching Assistant Professors are encouraged to engage in research; however, publications are not a requirement of this position.
  • Service: The individuals who fill these positions will be expected to participate in the academic life of the Department of Business Information and Analytics and Daniels College faculty meetings, assurance of learning, curriculum development, and the advising of students.

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.

Required Qualifications

  • 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, or bachelor's degree in relevant field with 7 years of analytics/programming experience in a relevant area (statistics, predictive analytics, project management, simulation, optimization, and/or programming).
  • Demonstrated teaching excellence in statistics, information technology, management information systems, decision science or related discipline.

Preferred Qualifications

  • PhD in statistics, information technology, management information systems, decision science or related discipline.
  • Work experience in one or more areas: statistics, information technology, management information systems, business analytics, or education.
  • Active in the business community (e.g. through association membership, consulting, publications, presentations, etc.).

Application Deadline
Applications will be reviewed as they are received, and will continue to be reviewed until the positions are filled.

Special Instructions
Candidates must apply online through jobs.du.edu to be considered. Only applications submitted online will be accepted.

 

 

 

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Job No: 492590
Posted: 7/30/2019
Application Due: 9/28/2019
Work Type:
Salary: Negotiable