Assistant/Associate Adjunct Faculty in Business Analytics - BUSAD 40 Business Statistics - Summer Session 2021

Saint Mary’s College of California

Moraga, CA

ID: 7075982 (Ref.No. 2182207)
Posted: March 12, 2021
Application Deadline: Open Until Filled

Job Description

Assistant/Associate Adjunct Faculty in Business Analytics - BUSAD 40 Business Statistics - Summer Session 2021

Location: Online

Open Date: Mar 8, 2021

Deadline:

Description:
Founded in 1863, Saint Mary's is a residential campus nestled 20 miles east of San Francisco in the picturesque Moraga Valley. Based in the Catholic, Lasallian and Liberal Arts traditions, Saint Mary's currently enrolls more than 4,000 students from diverse backgrounds in undergraduate and graduate programs. The De La Salle Christian Brothers, the largest teaching order of the Roman Catholic Church, guide the spiritual and academic character of the College.

As a comprehensive and independent institution, Saint Mary's offers undergraduate and graduate programs integrating liberal and professional education. Saint Mary's reputation for excellence, innovation, and responsiveness in education stems from its vibrant heritage as a Catholic, Lasallian and Liberal Arts institution. An outstanding, committed faculty and staff that value shared inquiry, integrative learning, and student interaction bring these traditions to life in the 21st century. The College is committed to the educational benefits of diversity.

Qualifications:

BUSAD 40, Business Statistics

Summer Session, 06/1/2021 - 06/25/2021, MTWTH 1:00 PM to 3:45 PM.

Course Modality: 100% Online. Applicant must reside in California.

Introduction to statistical concepts and methods used to assist in making decisions under conditions of uncertainty. Topics include collection and analysis of data, descriptive statistics, sampling, probability theory and probability distributions, estimation, inference, hypothesis testing, correlation analysis and regression modeling. Students will learn how to perform statistical analysis using Excel and R.

Qualifications

- Ph.D. degree in Statistics or a closely related field and a recent publication record in the field, OR

- A Master’s degree in Statistics or a closely related field and five years of current, relevant professional experience.

To apply, visit https://apptrkr.com/2182207

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