Part-Time Faculty of Business Analytics - BAT 3302-1 - Data Science

Trinity University is seeking a Part-Time Faculty member for the Fall 2026 semester to teach the following course: BAT3302-001: Data Science.

About the Role

This course focuses on the storage, retrieval, and analysis of data sets, with a strong emphasis on data wrangling using Python and the practical application of specialized software, computational techniques, and algorithms to real-world business and analytical scenarios. The ideal candidate combines academic grounding in data science methods with hands-on industry experience applying these tools to solve practical problems.

Responsibilities

• Develop the course syllabus and ensure it meets departmental and University standards
• Design and deliver lectures, discussions, in-class activities, and assignments
• Grade assigned papers, quizzes, and exams
• Assign early, midterm, and final grades in compliance with University deadlines
• Maintain office hours as directed by the department chair or program director
• Provide student accommodations as determined by the Office of Student Accessibility Services
• Adhere to all instructional policies as published in the Faculty Handbook and the Courses of Study Bulletin

Qualifications

Education

• Required: Master's degree in Data Science, Business Analytics, Computer Science, Statistics, or a closely related field
• Preferred: Ph.D. in Data Science, Business Analytics, Computer Science, Mathematics, Statistics, or a closely related field

Experience

• Required:
  • Professional or applied experience in data analysis, data wrangling, or working with large data sets
  • Proficiency in Python
• Preferred:
  • Prior university-level teaching experience, particularly in analytics or data science courses
  • Evidence of impactful teaching practice demonstrated through submission of sample teaching materials and student evaluations
  • Industry experience applying data science techniques to business decision-making
  • Familiarity with data visualization tools and learning management systems (e.g., Canvas, Blackboard)

Skills

The ideal candidate will demonstrate:

• Mastery of the relevant subject matter
• Ability to deliver engaging lectures, discussions, or in-class activities
• Ability to design rigorous and meaningful assignments
• Commitment to the liberal arts mission of Trinity University