Assistant Adjunct Professor of Business (Quantitative Methods), Fall 2021 - Essential

Job description

Category:: Faculty
Locations:: Oakland, CA
Posted:: Mar 4, 2021
Closes:: Open Until Filled
Type:: Exempt
Position ID:: 128753

About Mills College:

Located in Oakland, California, in the heart of the San Francisco Bay Area, Mills College is a liberal arts college for women and gender non-binary students, with graduate programs for all genders. Consistently ranked one of the top master's universities and one of the best value colleges in the West by U.S. News & World Report, Mills also has been named one of the Best Colleges in the nation by The Princeton Review. The Mills experience is distinguished by small, interactive classes, one-on-one attention from exceptional faculty, a culture of creative experimentation, and cutting-edge interdisciplinary learning opportunities which empower students to make a statement in their careers and communities. As one of the most diverse liberal arts colleges in the country, we have a strong record of academic success with first-generation students, students of color, Latinx students, LGBTQ students, and other underrepresented students. Mills College has recently become a Hispanic Serving Institution. Applicants with expertise and experience in supporting and promoting success for Latina/o students are encouraged to apply.

Mills College encourages diversity in hiring and particularly welcomes applications and nominations from women, gender non-binary individuals, and minorities. Mills College seeks to recruit and retain a diverse workforce as a reflection of our commitment to equity, inclusion, and social justice and our desire to maintain the excellence of our faculty. In so doing, we offer our students not only the opportunity to learn about varied disciplines but to engage with diverse perspectives and ways of knowing and learning. For more information, please visit

Job Description:

The Business Administration department at Mills College is pleased to announce an opportunity for an instructor to teach a 3-credit course in Quantitative Methods during the Fall 2021 semester. Our business degree programs are distinguished by their focus on equity and justice, by the rich diversity of backgrounds and experiences our students bring, and by our small size which fosters a sense of community among students, faculty, and staff.

The person in this position would teach:
MGMT 263 Quantitative Methods. This 3-credit course is a required course for MBA and MPP students as well as students in our joint MPP/MBA and MBA/MA in Educational Leadership programs. This course is scheduled for Wednesday afternoons from 4:00 -6:30 pm. The fall semester begins on August 25 and final exams end on December 15. The course is expected to be delivered in-person or in a hybrid format. Remote learning options such as streaming in-person classes will be made available for students who need them. All in-person course experiences will end at the Thanksgiving Break. The remainder of the semester will be conducted remotely.

Course Description:
The course introduces standard statistical methods for data analysis. The topics covered include descriptive statistics, probability, sampling distributions, statistical inference, hypothesis testing, and multivariate regression analysis. The goal of this course is to provide students with a foundation in quantitative analysis techniques widely used by public policy makers and managers of for-profit and nonprofit organizations. Emphasis is placed on developing proficiency with standard statistical software (i.e., Excel), and on becoming a critical consumer of statistical information for purposes of decision making. By the end of the course, students are expected to analyze data, and interpret and report results in a succinct and systematic manner.

For faculty new to Mills, compensation is $6,500 per course with a terminal degree and $6,000 per course without a terminal degree. Adjunct compensation is governed by a Collective Bargaining Agreement and increases with seniority at Mills College.


Minimum qualifications are a Master's degree in Business Administration, Statistics, Data Analytics, or a related field. Doctorate and higher education teaching experience are highly preferred.

Additional Information:

This is an exempt, part-time position. The compensation includes state-mandated benefits including Social Security, State Disability Insurance, Workers' Compensation Insurance, Unemployment Insurance and Sick Day accrual. Employees also receive free admission to campus events, use of the pool, fitness center, and tennis courts.

Mills College does not permit discrimination based on pregnancy, childbirth or related medical conditions, race, religious creed, color, national origin or ancestry, physical or mental disability, medical condition, marital status, age, sex, sexual orientation, or gender identity. For more information on Mills' non-discrimination policy, please go to

All positions are subject to a background check. Prior to the first date of employment, an applicant's background check must be cleared.

Application Instructions:

Click the "Apply Now" button below and follow instructions to submit the following documents:

  • Employee Application
  • Cover Letter
  • Curriculum Vitae
  • Teaching Statement
  • Diversity, equity, and inclusion (DEI) statement: Please describe your commitment to DEI. How have you worked to advance DEI in your current or previous positions? If hired at Mills, how would you contribute to the College's commitments to racial and gender justice and inclusive excellence?
  • Names, addresses, and email contacts for two professional references. No letters of reference should be submitted at this time.

Please note that you can only upload 6 "Other" documents. You can consolidate multiple pages/documents into one file upload. The file size limit for each upload is 10Mb.

Review of applicants will begin immediately; applications will be accepted until the position is filled.




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Job No:
Posted: 3/5/2021
Application Due: 4/17/2021
Work Type: Full Time