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QU Drake United College: Assistant Professor of Practice in Data Analytics (teaching in China)

Drake
Qingdao, China Posted Nov 3, 2026
Full-time

About this role

College of Arts and Sciences

Department Summary:

QU – Drake United College, a unique joint degree program between Drake University in Des Moines, Iowa, and Qingdao University in Qingdao, China, invites applications for multiple faculty positions to start Spring 2027 or Fall 2027. The QU-Drake United College is collaborative initiative between Drake University and Qingdao University that allows undergraduate students to earn both a Qingdao University Degree and a Drake University Degree through a jointly developed curriculum taught in Qingdao. The dual degree programs, offered in Biology and Data Analytics, enable students to complete four years of full-time study in Qingdao University. Students take six credits of ESL/Public Speaking over two semesters.

Qingdao University is located in Shandong, an eastern Chinese province on the Yellow Sea. Qingdao is a vibrant coastal city with a population of over 7 million, known for its temperate climate, rich history, and popularity as a travel destination. The university offers a wide range of undergraduate and graduate programs. Qingdao has been ranked among the world’s top 500 universities in the Academic Ranking of World Universities (ARWU).

Job Summary/What to Expect:

Depending on the applicable hiring arrangement, a selected candidate may be employed by Drake University or by a partner organization supporting the program. The employing organization will be identified during the hiring process and in the candidate's employment/offer documentation.

For visa purposes, the appointment title/rank may differ from the academic rank used in the recruitment process, as applicable.

Faculty will teach fall and spring semesters onsite in Qingdao, with a teaching load of four (4) sections per semester. All instruction will be in English. Candidates should be able to teach a variety of courses in programming, spreadsheets, statistics, machine learning, data mining, generalized linear models, regression, time series, databases, cloud computing, or digital ethics.

Minimum Qualifications:

A Ph.D., or near completion in Computer Science, Information Systems, Statistics, Data Science or a related area is required.

Preferred Qualifications:

Ideal candidates will have prior experience teaching a variety of courses in computer science, information systems, or statistics in a US higher education setting. Experience with teaching strategies that emphasize active student engagement is also preferred. Candidates should demonstrate strong cross-cultural communication skills and an ability to adapt their teaching to students from diverse educational and cultural backgrounds.

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