Faculty Part-time - Operations & Information Systems
Massachusetts Medical Device Development Center (M2D2)
General Summary of Position:
The Manning School of Business at the University of Massachusetts Lowell invites applications for an Adjunct Professor (standard teaching load 1-2 courses per semester). The successful candidates will be expected to begin work in August 2021 and teach courses in our graduate programs related to Business Analytics.
Specifically, successful candidates will be expected to teach following courses in the academic year 2021-22:
MIST.6160, Advanced Data Mining
For a more detailed description of the course, please visit: https://www.uml.edu/catalog/courses/MIST/6160
MIST.6030, Database Management
For a more detailed description of the course, please visit: https://www.uml.edu/catalog/courses/MIST/6030
Minimum Qualifications (Required):
- Applicants must have earned Master's degree in a business-related discipline from an accredited university.
- Applicants must have at least 10 years of industry experience in the areas of information technology or related fields with at least 5 years of experience working regularly with data mining, databases and big data technologies.
- Applicants must have expert knowledge of Python for data mining and SQL for database management.
Additional Considerations:
- Excellent interpersonal, oral and written communication skills
- Ability to work effectively with students, faculty and diverse populations
Preferred Qualifications:
- Experience using Blackboard Learn course platform or similar learning management system
Special Instructions to Applicants:
Initial review of applications will begin immediately and continue until the position is filled. However, the position may close when an adequate number of qualified applications is received.
This is a part-time, non-benefited, Union of Adjunct Faculty, Local 1596, UAW position.
Please include a CV and cover letter with your application. Names and contact information of three references will be required during the application process.