Assistant/Associate Adjunct Faculty in Business Analytics - BUSAD 139 Business Analytics and Big

Assistant/Associate Adjunct Faculty in Business Analytics - BUSAD 139 Business Analytics and Big Data

Location: Moraga, CA
Open Date: Oct 16, 2020
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 139, Business Analytics and Big Data

Spring Semester, 02/08/2021-05/20/2021, TTH 1:15 PM to 2:50 PM, Moraga Campus

This course covers predictive modeling techniques. Students will also be exposed to a collection of current practices and computer technologies used to transform business data into useful information and support the business decision-making process. Topics include data mining, text and web analytics, and big data strategies. RapidMiner will be used in the course.

Qualifications

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

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


To apply, visit https://apply.interfolio.com/79985

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