Job Description:

Title: Adjunct Instructor - Information Technology & Decision Sciences

Employee Classification: Adjunct Faculty

Campus: University of North Texas

Division: UNT-Provost

SubDivision-Department: UNT-Ryan College of Business

Department: UNT-Info Tech & Decision Sci-131320

Job Location: Denton

Salary: Competitive salary based on experience

FTE: varies

Retirement Eligibility: Eligibility based on semesterly assignment, for more information visit https://hr.untsystem.edu/benefits/

About Us - Values Overview:

Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year. We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an inclusive environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team. Learn more about the UNT System and how we live our values at www.UNTSystem.edu.

Department Summary

The Department of Information Technology and Decision Sciences (ITDS) is comprised of two academic disciplines, Information Systems and Management Science. The ITDS department has over 40 research and teaching faculty whose mission is to conduct cutting edge research and prepare the next generation of information systems, management science, and business analytics professionals. Our department offers degrees at the bachelor's, master's, and PhD levels. Five of our degrees are STEM-designated - BS and MS in IS and BBA, MBA, and MS in Business Analytics. We also offer PhDs in Information Systems, Management Science, and Information Assurance. ITDS has a solid track record of producing well-prepared, motivated, and, ultimately successful business professionals and academicians.

Position Overview

The Department of Information Technology & Decision Sciences seeks qualified individuals for its Adjunct Instructor Pool and welcomes applicants at any time. This posting is for the Spring 2025, and Summer 2025 semesters. The specific courses involved may vary from semester to semester and openings to teach these courses develop on a periodic basis, depending on department teaching needs.


The anticipated need is for Adjunct Instructors whose duties may include, but are not limited to teaching introductory undergraduate courses in Information Systems (IS) and Management Science/Decision Sciences/Business Analytics (MS) courses, as well as technical undergraduate and graduate courses in information security, object-oriented programming (Python and Java), information systems development, and database management. In addition, we are looking for adjunct instructors to teach BUSI 3100, a one-credit professional development course which helps student develop proficiency with MS Excel and prepares students to take an MS Excel certification exam.


An offer of employment for this position will be made dependent upon available funding.

Minimum Qualifications

Candidates for teaching undergraduate BCIS and DSCI courses (2xxx-4xxx) must possess a master's degree and at least 18 graduate credit hours in IS and/or MS or a closely related field. Teaching and/or practical experience may be required for some courses.


Candidates for teaching BUSI 3100 must possess a master's degree and at least 18 graduate credit hours in IS, MS, business administration, finance, accounting, data analytics or a closely related field and teaching and/or practical experience using MS Excel for reporting and decision making.


Candidates for teaching graduate courses require a Ph.D. in IS and/or MS or a closely related field.


Degrees must be from Association to Advance Collegiate Schools of Business (AACSB) or similarly accredited institution.

Preferred Qualifications

Terminal degree in discipline is preferred.


Work experience in the area of course taught and/or teaching experience in the field. For advanced courses, demonstrated knowledge of that area, which may be through work, teaching experience, or transcripts.

Required License/Registration/Certifications

Work Schedule:

varies based on assignment

Driving University Vehicle:

No

Security Sensitive:

This is a Security Sensitive Position.

Special Instructions:

Benefits:

For information regarding our Benefits, click here.

EEO Statement:

The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, facilities and employment practices. The University of North Texas System immediately investigates complaints of discrimination and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.

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