Lecturer - Business 324: Introduction to Business Analytics (Fall 2026, CSUSM Main campus)

The California State University; San Marcos (CA); On-site; USD 61,458 - 74,515; Part time

Job summary

The California State University in San Marcos is seeking a part-time lecturer for Fall 2026 to teach BUS 324: Introduction to Business Analytics. The position requires a master’s degree and industry experience in analytics. The role involves teaching in-person classes and contributing to students' understanding of business analytics concepts.

The anticipated salary range is $5,507 – $6,677 per month based on experience. Applications will be reviewed beginning June 30, 2026, until filled.

Qualifications

• A master’s degree in business administration or a related discipline.
• Active, current industry experience in an analytics‑related position.
• Compliance with California State University’s Out‑of‑State Employment Policy.

Responsibilities

• Teach a section of BUS 324: Introduction to Business Analytics.
• Introduce business analytics concepts and tools.

Skills

Active industry experience in analytics

Intercultural competence

Education

Master’s degree in business administration or related discipline

Doctorate or equivalent degree (preferred)

Job description

Lecturer – Business 324: Introduction to Business Analytics (Fall 2026, CSUSM Main campus)

Apply now Job no: 559095. Work type: Instructional Faculty – Temporary/Lecturer. Location: San Marcos. Categories: Unit 3 – CFA – California Faculty Association, Temporary, Part Time, Faculty – Business/Management.

BUS 324: Introduction to Business Analytics

• Semester: Fall 2026
• Day/Time: Tuesdays and Thursdays, from 8:00 a.m. to 9:50 a.m.
• Modality: In-person
• College: College of Business Administration
• Department: Operations & Supply Chain Management

The Department of Operations and Supply Chain Management at California State University San Marcos seeks a part‑time lecturer for Fall 2026 to teach a section of BUS 324: Introduction to Business Analytics.

Course Description

This course introduces business analytics concepts and tools that are employed in various business functions. It is divided into two parts: predictive and prescriptive modeling/analytics. The predictive section covers statistical data analysis including descriptive statistics, hypothesis testing, ANOVA, regression analysis, and data‑mining models. The prescriptive section focuses on deterministic optimization models, statistical software, and spreadsheet optimization.

Required Qualifications

• A master’s degree in business administration or a related discipline.
• Active, current industry experience in an analytics‑related position.
• Compliance with California State University’s Out‑of‑State Employment Policy; employment must be performed in California.

Preferred Qualifications

• A doctorate or equivalent degree.
• Previous teaching experience at a four‑year university and/or community college.
• Demonstrated intercultural competence and commitment to serving the campus community.

Salary

• Salary commensurate with degree level and experience.
• Anticipated hiring salary range: $5,507 – $6,677 per full‑time month (Lecturer A – AY).

Application

• Completed faculty application.
• Curriculum Vitae (uploaded).
• Contact information for three current references.
• Letter of interest (uploaded).

Applications will be reviewed beginning June 30, 2026, and the position will remain open until filled.

California State University San Marcos is an Equal Opportunity Employer. We consider qualified applicants for employment without regard to age, physical or mental disability, gender or sex, genetic information, gender identity, gender expression, marital status, medical condition, nationality, race or ethnicity, religion or religious creed, sexual orientation, and veteran or military status.

Per the California State University’s Out‑of‑State Employment Policy, the CSU is prohibited from hiring employees to perform CSU‑related work outside California. Working in the State of California is a condition of employment.