Data Science, Adjunct Faculty

Adjunct Faculty – Data Science

Department of Information Technology | University of Maryland Global Campus (UMGC)

This position is specifically to teach on-site at Dorsey, Maryland . Local applicants only; UMGC does not sponsor logistical support for this role.

At UMGC, we don’t just teach; we empower. Founded in 1947, UMGC is an open-access, minority-serving institution serving over 90,000 nontraditional learners worldwide, including a proud, large military-affiliated population. Our students are mature, highly dedicated, and balancing careers, families, and service. As an Adjunct Faculty member, you are the essential partner helping them bridge the gap between classroom theory and real-world career success.

Why Teach with UMGC?

• Focus on Students, Not Course Design: All courses follow a standardized, pre-designed, unified course model. Standardized rubrics, OER materials, library resources, and digital textbooks are fully provided at no cost to you. You get to focus 100% of your energy on mentoring, facilitating, and providing high-quality feedback—no unpaid course-building required.
• True Asynchronous Flexibility: Teach with flexibility, on your own schedule. As long as you meet weekly grading, responsiveness, and engagement milestones, your daily hours are entirely up to you.
• Ongoing Growth: We invest in you. All newly hired faculty receive comprehensive online orientation, alongside ongoing, cost-free professional development opportunities.

The Rhythm of Your Week (Key Responsibilities)

Adjunct faculty bring our pre-built curriculum to life through real-world expertise and active mentorship.

Classroom Engagement & Presence

• Be Visible: Maintain an active classroom presence at least 5 days per week, introducing yourself with a welcome announcement and driving discussions.
• Bridge Theory & Practice: Enrich the pre-built curriculum with your own professional expertise and real-world examples.
• Build Belonging: Foster an inclusive, culturally responsive environment where adult learners feel supported and motivated.

Responsiveness & Feedback

• Stay consistently engaged with learners throughout the course by responding to inquiries, returning feedback, and posting final grades within the expected timeframe.

Proactive Support & Collaboration

• Monitor Progress: Use available data tools to track student engagement and conduct proactive outreach to at-risk students.
• Team Up: Partner with success coaches, academic staff, and portfolio directors to refer struggling students to UMGC support resources.
• Stay Connected: Participate in UMGC's vibrant faculty community, including the Program Hub and ongoing training.

Course Structure & Time Commitment

• Format: 100% Online & Asynchronous
• Term Length: 8-week sessions (3-credit courses)
• Class Size: Typically, 25–35 students (smaller sections for select courses)
• Time Commitment: The adjunct faculty role requires a substantial commitment throughout the term focusing not only on academic success but also the social, personal, and professional growth of students

Minimum Qualifications:

• Education: Master's Degree in Data Science, Data Analytics, Artificial Intelligence, or a related field from an accredited institution of higher learning.
• Experience: 3-5 years of professional experience in Data Analytics, Data Science and Artificial Intelligence
• Legal Status: Applicants must have and be able to maintain their own legal status in the country in which they apply to teach.
• The Mindset: A deeply student-centered approach rooted in empathy, flexibility, professional integrity, and cultural responsiveness.

Preferred Qualifications:

• Experience teaching adult learners in an online, asynchronous environment.
• Prior postsecondary teaching experience.
• Active engagement in your discipline's professional community.

Materials needed for submission

• Resume/ Curriculum Vitae
• Cover letter highly preferred
• Unofficial Transcripts
• If selected, candidates with international degrees may be required to submit a translation/degree evaluation from a NACES approved vendor.