Online Visiting Professor of Data Analytics

Instructor Opportunity

DeVry University strives to close our society's opportunity gap and address emerging talent needs by preparing learners to thrive in careers shaped by continuous technological change. Through innovative programs, relevant partnerships, and exceptional care, we empower students to meaningfully improve their lives, communities, and workplaces.

DeVry University focuses on developing long-term relationships with superior instructors who have high professional standards, excellent communication skills, enthusiasm, and a commitment to providing the finest practitioner-focused education. We are seeking primarily industry professionals to teach and share their knowledge and experience with undergraduate and graduate students in a variety of fields.

Courses meet once or twice a week for eight weeks. Face-to-face interaction is blended with technology (such as online discussions and online assignments) for an enhanced learning environment. Faculty are responsible for facilitating student learning by teaching courses and programs in accordance with DeVry University requirements. Faculty develop course syllabi and lesson plans and apply teaching techniques to best achieve course and programmatic objectives. All DeVry instructors will participate in a comprehensive faculty training program and ongoing faculty development activities to ensure the highest quality instruction. DeVry University does not guarantee any specific number of work hours or assignments, which may vary based on the University's needs and discretion. As you explore this opportunity, we invite you to view this brief video highlighting how our faculty engage in meaningful student support.

Responsibilities include developing and providing students with an approved DeVry University syllabus that follows a template established by the local campus, organizing, preparing, and regularly revising and updating all course materials, using appropriate technological options for online technologies and course-related software, modeling effective oral and written communications that engage the students, setting clear expectations for the course by publishing course terminal objectives, assignment/examinations dates, and weight the distribution of various evaluation categories, ensuring that the content and level of material included on exams correspond to the course terminal objectives, demonstrating consistency and fairness in the preparation and grading of exams, and provide timely feedback to students. Embraces and integrates the responsible use of AI technologies in the classroom to enhance teaching and learning outcomes. Demonstrates the ability to recognize, evaluate, and address appropriate and inappropriate student use of AI tools in academic work. Completes other duties as assigned.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. A doctorate in Data Analytics, Data Science, Statistics, Computer Science, Information Systems, or a closely related field is required, with at least 18 graduate credit hours in data analytics, statistics, data science, quantitative analysis, or a related computational discipline. Applicants must upload unofficial graduate-level transcripts with their application. Degrees must be 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 international institution determined to hold equivalent accreditation. 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, which may include statistical software, data visualization platforms, database technologies, and programming languages used for analytics. 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, combined with effective communication skills and the ability to translate complex quantitative concepts for diverse learners. Knowledge of ethical and responsible data practices, including data governance, privacy considerations, bias awareness, and responsible use of data in decision-making. Faculty must have a commitment to ongoing professional development in instructional technology, digital literacy, and responsible AI practices.

Pay is based on level, credit hours taught per 8-week session, and location. Pay may vary in most states from $1500-$2700 per 8-week session. Pay in the states of AZ, CA, IN, and PA is paid at an hourly rate of either $22.00/hour or $23.50/hour. For Visiting Professor roles, we accept applications on an ongoing basis.

DeVry University offers benefit options for Visiting Professors, including 401(k) and Roth Plan, Paid Tuition Program, Remote and Flex Work Options, Paid Sick Time, and Technology Stipend. We believe that a vibrant and collaborative workplace is essential to our educational mission and the success of our community. We are committed to a workplace environment where all colleagues feel valued, respected, and supported.