Online Visiting Professor, Data Analytics
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Job Description
Online data analytics professor teaching undergraduate and graduate courses for DeVry University. Developing curricula, assessing learning, and integrating responsible AI into instruction.
Responsibilities:
- Teach courses and programs in accordance with DeVry University requirements
- Develop course syllabi and lesson plans using appropriate teaching techniques
- Develop, organize, prepare, revise, and update course materials
- Use online technologies and course-related software, including websites, email, and online discussions
- Model effective oral and written communication
- Publish course objectives, assignment and examination dates, and evaluation-category weightings
- Ensure exams align with course terminal objectives
- Prepare and grade exams consistently and fairly, providing timely student feedback
- Integrate responsible AI technologies to enhance teaching and learning
- Recognize, evaluate, and address appropriate and inappropriate student use of AI tools
- Complete other duties as assigned
Requirements:
- Doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field required
- At least 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline
- Unofficial graduate-level transcripts must be uploaded with the application
- Degree awarded by an institution accredited by an agency recognized by the U.S. Department of Education or the Council for Higher Education Accreditation, or by an internationally equivalent accredited institution
- Three to five years of applied professional experience in data analytics, data science, business intelligence, statistical analysis, or data-driven decision support
- Demonstrated experience with data analysis tools and programming environments, including statistical software, data visualization platforms, database technologies, and analytics programming languages
- Industry-recognized certifications or professional credentials relevant to data analytics, data science, business intelligence, or statistical analysis
- Strong subject matter expertise in data analytics concepts and methodologies
- Effective communication skills and ability to translate complex quantitative concepts for diverse learners
- Knowledge of ethical and responsible data practices, including data governance, privacy, bias awareness, and responsible data use
- Additional requirements driven by state licensing, institutional policy, or accreditation standards may apply
- Commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices
Benefits:
- Comprehensive faculty training program
- Ongoing faculty development activities
- Opportunity to teach and share industry knowledge with undergraduate and graduate students
- Reasonable accommodations for individuals with disabilities
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