Adjunct Faculty: Statistics & Data Science

Company Description

Augsburg University offers more than 50 undergraduate majors and 11 graduate degrees to approximately 3,400 students of diverse backgrounds. The trademark of an Augsburg education is its emphasis on direct, personal experience. Guided by the faith and values of the Lutheran church, Augsburg educates students to be informed citizens, thoughtful stewards, critical thinkers, and responsible leaders.

Among the distinctive features of the university are its deep dedication to civic and community engagement, robust undergraduate research programs, and a strong belief in the integration of liberal arts and professional studies across all programs. The University’s commitments to our urban context and the world beyond it are enhanced through the work of four signature centers: the Christensen Center for Vocation, the Center for Global Education and Experience, the Sabo Center for Democracy and Citizenship, and the Strommen Center for Meaningful Work.

Augsburg’s Statement of Commitment to Equity

We believe that education is the key to healthy, meaningful and productive lives for individuals, as well as to the vibrancy of our democracy. Augsburg University is dedicated to achieving an educational experience free from the barriers of poverty, racism, and discrimination so that students can fully realize their unique gifts. Recognizing that higher education’s democratic promise is compromised by systemic and systematic barriers to college access and completion, Augsburg is called to stand for equity in everything we do to fulfill our academic mission, serve our students and engage our fellow citizens.

The Department of Mathematics, Statistics, and Computer Science at Augsburg University invites applications for adjunct faculty positions to teach Statistics & Data Science courses in 2026.

Teaching one or two sections of introductory or intermediate statistics courses in the Statistics and Data Science programs, such as DST 164 Introduction to Statistics (with R) or DST 334 Statistical Modeling.

Respond to student questions through email, hold regularly scheduled office hours, reach out to students with course progress information, and communicate regularly with the course coordinator.

Manage course syllabus with calendar, textbook and homework selection, sample activities and exams, and shared office space.

In-person instruction on the Minneapolis campus; each fall or spring semester course requires approximately 12–15 hours/week for 15–16 weeks.

• $5,800 to $6,175 per undergraduate course
  * for the 2025-26 academic year
• Eligible for 2–4% retirement contribution match
• Eligible for 1–1.5% retirement contribution match
• Tuition discount for employees and dependents
• Transit pass discount
• Not eligible for healthcare benefits

* Course refers to a typical 4-credit undergraduate course that has met minimum enrollment requirements.

Please note that due to employment law and payroll regulations, we can only employ adjunct faculty who reside in Minnesota or Wisconsin. This restriction applies even to courses taught online.

Candidates should be committed to student engagement and student success with a diverse group of learners.

The ideal candidate will have some experience teaching at the post-secondary level or significant experience teaching at the secondary level.

Master’s in Statistics or a related field.

For full consideration, candidates must submit the following information at the time of application:

• Cover letter
• Curriculum vitae or Resume
• Unofficial undergraduate and graduate transcripts

Your cover letter should:

• Highlight your experience or interest in teaching at the university level
• Identify your general availability during the day and/or evenings; and
• Indicate whether you are interested in in-person or synchronous online teaching (or either).

For specific inquiries about these adjunct opportunities, please email the Department Chair, John Zobitz (zobitz).

Augsburg University is an equal opportunity employer and does not discriminate on the basis of gender, sexual orientation,…