Occupational Administrators | Artificial Intelligence Machine Learning Upper Division

Faculty Expertise

The faculty serving on Instructional Councils are best positioned to provide consistent, expert evaluation of faculty coursework and credentials so as to determine relevance within a specific teaching field. Therefore, Human Resources, Department/Division Chairs, Deans, VPAAs, and other stakeholders must coordinate with the relevant Instructional Councils to determine if the established minimum qualifications are met by candidates for Faculty (Residential, Adjunct, or Dual Enrollment) positions.

Academic

A graduate degree is required. A faculty may qualify with any of the following:

  • Master’s degree or higher in the teaching field OR
  • Master’s degree or higher in any field with 18 graduate credit hours 
Instructional Council (IC)
Occupational Administrators
Faculty Service Area (FSA)
Artificial Intelligence Machine Learning Upper Division
Subjects
BAM
The following disciplines meet the requirements to teach in this field:

A Master’s Degree or higher is required in one of the following fields:

  • Mathematics, Applied Mathematics, Computational Mathematics, Statistics, Computer Science, Computer Engineering, Software Development, Engineering, Artificial Intelligence, Machine Learning, Robotics, Data Analysis, Data Science, Computer Systems Engineering, Computer Systems Analysis

OR A Master's Degree in any field with 18 graduate-level credits in these prefixes/subjects: 

  • Computer Science, Computer Engineering, Software Development, Artificial Intelligence, Machine Learning, Robotics, Data Analyst, Data Science

OR A Master's Degree in any field with 18 graduate-level credits in courses with these keywords:

  • Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Natural Language Processing (NLP), Computer Vision, Neural Networks, Robotics, Reinforcement Learning, Algorithm Development, Predictive Analytics, Cognitive Computing, Expert Systems, Pattern Recognition, Autonomous Systems

(updated July 2025)