Adjunct Faculty - Analytics (Oakland)

About the Opportunity

About Northeastern: Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world‑renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus. Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; Miami; Oakland; Arlington and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student‑centered learning and collaborative, solutions‑focused research. Northeastern’s comprehensive array of undergraduate and graduate programs— in a variety of on‑campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi‑discipline majors and degrees designed to prepare students for purposeful lives and careers.

College of Professional Studies

The College of Professional Studies is one of nine colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

Role Overview

Northeastern University’s College of Professional Studies invites applicants for a part‑time faculty position to teach in the Master or Professional Studies Analytics, located on‑ground in Oakland.

Responsibilities

• Instructional areas included, but are not limited to, analytics, with particular expertise in probability and statistics, data exploration, data visualization, and predictive analytics.
• The mission of the Master of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals, including preparing data, conducting data analysis such as regression, forecasting, optimization, data visualization, and data story telling.
• This degree prepares students for entry‑and mid‑level roles in analytics, such as data analyst, data specialist, database analyst, program analyst, research analyst, or research associate. These roles are general analyst roles and are not specific to any particular professional domains or disciplines (e.g., business, marketing, and engineering).
• The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force.

Qualifications

• Minimum qualification: Masters in an aligned discipline and analytics‑industry experience.
• Preference for candidates with a PhD in a sciences field, or similar.
• Demonstration of teaching, coaching, and/or training is required, with a history of successful teaching (online/on ground) at the graduate level is strongly preferred.

Additional Information

• Position Type: Academic.
• Supervision: This position will report to the Faculty Director of the Domain Analytics and Enterprise Intelligence.
• Benefits: medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation.
• Visit for more information.

Pay Range

Pay Range: The per credit rate is $2,387.03.

Diversity and Inclusion

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

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