Part-Time Faculty: SAL M700, Econometrics Sport Analytics

Part-Time Faculty: SAL 604 M700, Econometrics Sport Analytics (Spring 2027)

Job Title Part-Time Faculty: SAL 604 M700, Econometrics Sport Analytics (Spring 2027)

Location

Campus

Commitment to On-Campus Experience

Syracuse University is committed to delivering an exceptional student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in-person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus.

Remote work arrangements are limited in accordance with University policy.

Pay Range

Pay Range $1,400 - $1,700 per credit hour

Salary offers at Syracuse University will be based on education, experience, and relevant skills, as well as the academic or professional discipline of the position in the context of the home department, school, or college. Salary offers may also be influenced by prior relevant work or industry experience, where applicable. Faculty pay ranges are for 8.5 months’ salary unless otherwise specified.

FLSA Status

FLSA Status Exempt

Hours

As determined by department/chair

Job Type

Job Type Part-time

Rank

Rank PTI/Adjunct

Unionized Position Code Not Applicable

Job Description

Falk College of Sport seeks a part-time instructor to teach SAL 604 M700 (3 Credits), Econometrics Sport Analytics in Spring 2027- 8 W2 (3/8/2027-4/29/2027).
Course

Description:

The course covers linear regression, modeling techniques, interpretation of regression results, diagnostic tests and corrections for econometric issues, logistic regression, and key sport economic insights.
Class meets ONLINE ;
Asynchronous

Qualifications

• Bachelor’s degree in Sport Analytics, Sport Management, Data Science, or a related field with a strong analytics background.
• Industry experience in business analytics within sport, ideally at the professional or elite collegiate level.
• Proficiency in Python and/or R for data analysis.
• Familiarity with linear regression, logistic regression, and diagnostic/corrective techniques for common econometric issues (e.g., heteroskedasticity, multicollinearity, autocorrelation).
• Knowledge of topics such as sport economics, labor markets, and competitive balance

none

Responsibilities

• Developing and/or updating a class syllabus
• Preparation of lectures, projects, or other student assignments
• Maintaining regularly scheduled office hours
• Presenting instruction based on the competencies and performance levels of the course
• Meeting all designated class periods
• Submitting completed mid-semester progress reports and final grades according to University regulations
• Grading student assignments and exams in timely manner
• Providing departmentally sanctioned forms for completed student evaluations
• Building a positive rapport with students and other faculty

Physical Requirements

Not Applicable

Tools/Equipment

Not Applicable

About Syracuse University

Syracuse University is a private, international research university with distinctive academics, diversely unique offerings, and an undeniable spirit. Located in the geographic heart of New York State, with a global footprint, and over 150 years of history, Syracuse University offers a quintessential college experience.
The scope of Syracuse University is a testament to its strengths: a pioneering history dating back to 1870; a choice of more than 200 majors, 100 minors, and 200 advanced degree programs offered across the University’s 13 schools and colleges; over 15,000 undergraduates and over 6,000 graduate students; more than a quarter of a million alumni in 160 countries; and a student…