Adjunct Faculty: Statistics/Data Science 2025

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. 

As part of Augsburg University's commitment to intentional diversity, 50% of our current student body identifies as Black, Indigenous, and persons of color. The emerging interdisciplinary Department of Critical Race and Ethnicity Studies builds on this foundation to further diversify our academic curriculum and co-curricular programs. We do this work out of historical and contemporary obligations rooted in our ethical and intellectual commitments to prepare our diverse student body for a cosmopolitan world.

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.
 

Job Description

The Department of  Mathematics, Statistics, and Computer Science at Augsburg University invites applications for adjunct faculty positions to teach Statistics & Data Science courses in 2025. 

Responsibilities include 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. 

This search will establish a “pool” of instructors if such openings occur during Spring, Summer, or Fall of 2025. Applicants may be selected from this pool on an as-needed basis throughout the year. 

Available courses vary by term. Most classes are held during the day, 2-3 days per week. In addition to teaching the class and grading student work, instructors are expected to 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. A course syllabus with calendar, textbook and homework selection, sample activities and exams, and shared office space are typically provided. Most classes are taught in-person on our Minneapolis campus. Each course requires approximately 12-15 hours/week for 15-16 weeks. 

The successful candidate will possess both a high level of intercultural competency and a commitment to inclusive practice and authentic representation.

Compensation & Benefits

• Subject to the collective bargaining agreement with SEIU, Local 284
• $5,500 to $6,550 per course*
• 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 or 3-credit graduate course that has met minimum enrollment requirements.

Qualifications

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

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

Minimum Qualifications
Master's in Statistics or a related field. 

Additional Information

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

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

Your cover letter should 

• Highlight your experience or interest in teaching at the university level