Statistics and Computing Foundations for Data Science and AI – Adjunct Faculty – Traditional Campus – College of Engineering and Technology

Make a Difference at Grand Canyon University

The College of Engineering and Technology employs faculty and faculty leaders who are passionate about engaging and mentoring students to best prepare them for the continuously changing worlds of IT and Engineering. Our faculty are energetic advisors who are committed to helping our students grow academically, spiritually, and personally. They are experts in their respective fields, in addition to being passionate educators and collaborators who help enhance the college experience for all students.

Join our mission in helping others find their purpose and start your instructor career with GCU. The College of Engineering and Technology offers rewarding opportunities for adjunct faculty to teach part-time, face-to-face instruction at our Phoenix campus. If you are highly motivated and passionate about teaching exceptional quality instruction in modern facilities with smaller class sizes, we’d like to hear from you.  

Why Work at GCU:

• Tuition benefits specifically for the adjunct employee
• 401(k)
• Employee Perks and Discounts
• Gym and Fitness Center
• Canyon Health & Wellness Center

Course: Statistics and Computing Foundations for Data Science and AI

This foundational course serves as an introduction to the core concepts and skills required for a successful journey into the world of data science. It covers the fundamental mathematical and programming principles needed to build a strong foundation for advanced data analysis.

What You Will Do:

• Facilitate classroom lecture and discussions
• Engage students in learning course objectives and topics
• Assess student performance and mentor success in the classroom
• Provide a positive example to students by supporting the University’s Doctrinal Statement, Ethical Position Statement, and Mission of Grand Canyon University

What You Will Bring:

• Minimum: MS in Computer Science, Computer Engineering, Software Engineering, or related discipline plus a minimum of 20 doctoral credits in Data Science or Data Analytics or Business Analytics or Statistics.

Before submitting your application, please attach the following to review:

• Your unofficial transcript reflecting degree earned with 18 graduate credit hours in the areas listed above
• Your unofficial transcripts for any applicable conferred graduate degrees

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