Adjunct Faculty: Statistics & Data Science 2026-27
About The Position
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. 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 Fall of 2026 or Spring of 2027. 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 fall or spring semester course requires approximately 12-15 hours/week for 15-16 weeks.
Requirements
- Master's in Statistics or a related field.
- Commitment to student engagement and student success with a diverse group of learners.
- Reside in Minnesota or Wisconsin.
Nice To Haves
- Some experience teaching at the post-secondary level or significant experience teaching at the secondary level.
Responsibilities
- Teaching one or two sections of introductory or intermediate statistics courses
- Responding to student questions through email
- Holding regularly scheduled office hours
- Reaching out to students with course progress information
- Communicating regularly with the course coordinator
Benefits
- Tuition discount for employees and dependents
- Transit pass discount
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
