Lecturer in Business Analytics

University of Colorado; Denver (CO); Hybrid; USD 5,700 - 6,100; Part time

Job summary

University of Colorado Denver is seeking a part-time Lecturer in Business Analytics to teach undergraduate and graduate courses. Classes may be in person, hybrid, or online and are typically limited to three credit hours.

The role involves preparing rigorous lesson plans and assessing student progress in alignment with curricular objectives. Applicants should hold a Master’s or higher degree in a related field, with preferred background in teaching analytics and at least three years of relevant

Qualifications

• Must have a Master’s or higher degree in a related field.
• Experience teaching analytics courses is preferred.
• Minimum three years of relevant professional experience.

Responsibilities

• Teach Business Analytics courses at undergraduate or graduate level.
• Deliver instruction in various modalities (in person, hybrid, or online).
• Assess student progress and report misconduct.
• Contribute to curriculum development and program policies.

Skills

Communication skills

Mentoring and teaching

Leadership

Curriculum planning

Relationship building

Education

Master's or higher degree in Operations Research, Statistics, Computer Science, Applied Mathematics, Operations Management, or closely related field

Job description

Position Details

University of Colorado | Denver

Faculty Level/Title: Lecturer

Working Title: Lecturer in Business Analytics

FTE: Part Time, Less than 50% (0.50) FTE | Hybrid

Salary Range : $5,660.00 per 3-credit undergraduate course/$6,135.00 per 3-credit graduate course

Position # 00350293 - Requisition #41500

Join the University of Colorado Denver

About the University of Colorado Denver

Millions of moments start at CU Denver, a place where innovation, research, and learning meet in the heart of a global city. We're the state's premier public urban research university with more than 100 in-demand, top-ranked bachelor's, master's, and doctoral degree programs. We partner with diverse learners-at any stage of their life and career-for transformative educational experiences. Across seven schools and colleges, our leading faculty inspires and works alongside students to solve complex challenges and produce impactful creative work. As part of the state's largest university system, CU Denver is a major contributor to the Colorado economy, with 2,000 employees and an annual economic impact of $665 million. To learn more about how CU Denver helps learners meet their moment, visit ucdenver.edu .

About the CU Denver Business School

"Denver Built. Global Ready". At the CU Denver Business School, we make the most of being deeply embedded in the heart of Denver and the nation's fastest growing economy. You'll find a welcoming, inclusive community that encourages what you bring with you and what you aspire to be. We're ready to equip any future - locally and globally. We offer more choices than any other Business School in Colorado, with 14 Undergraduate Majors, 4 Industry Programs, 7 MBA Options, 3 Centers of Excellence, and 11 Master of Science Programs. We rank at the top for Social Mobility in Colorado, maintaining over three hundred Business relationships in Colorado and across the country. 80% of our career-minded students work while enrolled, opening doors and lowering barriers to success. CU Denver Business School is the #1 top-ranked national university in Colorado for campus ethnic diversity (US News).

Job Description

The CU Denver Business School is seeking applications for a Lecturer in Business Analytics position. This posting will establish and maintain a pool of Lecturers from which future appointments to temporary, non-tenure-track positions for the 2026-2027 academic year will be made.

Appointments will be part-time (less than 50% FTE) and will be made semester-by-semester, as teaching needs arise.

Lecturer in Business Analytics

What you will do:

The Lecturer(s) selected will teach Business Analytics courses at the CU Denver Business School. Classes taught will be at either the undergraduate or graduate level and will generally be limited to three credit hours. Classes will be facilitated in varying modalities (in person, hybrid, or online).

Duties include delivery of tailored instruction to a variety of language and cultural backgrounds in accordance with prescribed curricular objectives and outcomes, preparing for each class ahead of time with balanced rigorous lesson plans, assessing student progress according to curricular objectives and outcomes, and adhering to program policies and procedures by reporting student offenses (plagiarism, cheating, absences, etc.).

Qualifications you already possess (Minimum Qualifications)

Applicants must meet minimum qualifications at the time of hire.

• Master's or higher degree in Operations Research, Statistics, Computer Science, Applied Mathematics, Operations Management, or closely related field.

Preferred Qualification to possess (Preferred Qualifications)

• Prior experience teaching in Business Analytics, Statistics, Operations Management, or Operations Research, and the record of teaching multiple analytics-focused courses.
• Recent significant professional, technical, or managerial experience in the discipline related to the teaching assignment; at a minimum, significant experience is interpreted as at least three years of duties and responsibilities.

Knowledge, Skills, and Abilities

• Knowledge and proficiency in related discipline.
• Demonstrated interest in mentoring and teaching in related discipline.
• Ability to communicate effectively, both in writing and orally.
• Ability to demonstrate exceptional leadership qualities.
• Ability to effectively plan, establish and implement teaching goals and objectives independently without guidance and direction from other faculty.
• Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.

Conditions of Employment

• Occasional work during the evening and/or weekends may be required.

This position follows a hybrid work structure where employees can work remotely or from the office, as needed, based on demands of specific tasks or personal work preferences. Working from the office is encouraged