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Assistant Teaching Professor for MPS Analytics

Apply now Job no: 503044
Position Type: Faculty Full-time (Non-Tenure Track)
Location: Boston Main Campus
Categories: College of Professional Studies

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; 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.


About the Opportunity:

Looking for a qualified candidate who would teach on-ground, hybrid, and online graduate-level courses on the Masters of Professional Studies in Analytics degree program. This position is located at the Northeastern University Boston Campus.


Northeastern University, College of Professional Studies invites applications for a full-time non-tenure track, Assistant Teaching Professor position in the

The mission of the Masters of Professional Studies in Analytics program is to foster foundational analytics skills among working professionals and undergraduates, including managing data, conducting data analysis such as regression, forecasting, segmentation, optimization, data visualization, problem solving, and data story telling. This degree prepares students for entry-¬‐ and mid-¬‐level roles in analytics-enabled jobs, such as Financial Analyst, Management Analyst, and Research Associate, or Data Scientist jobs, like Business Intelligence Analyst, Data Mining Analyst, and Data Specialist. Furthermore, the degree prepares data driven decision makers like Chief Information Officers, Human Recourse Managers, and Marketing

Mangers, to leverage data and insight to inform strategy and operational decisions.

The degree is deeply rooted in experiential learning that is closely linked to professional applications in the work force, and prepares the student with the opportunity to apply the learnings to professional domains or disciplines (, marketing, research).

The position offering is a full-time, non-tenure track, one-year renewable appointment as an Assistant Teaching Professor. The candidate will be expected to teach as a content expert in analytics, with particular expertise in probability and statistics, data management, descriptive and predictive analytics, data visualization. The mastery of selected advanced systems technologies (such as Python, R, SQL, Hadoop, and Machine Learning) is a must, knowledge about Artificial Intelligence is a plus. The candidate is further expected to advance the Analytics Domain under the direction of the

Analytics Domain Lead Faculty, and in close collaboration with other Faculty, the regional campuses, and other departments such as Academic Quality Assessment, Online Experiential Learning, Marketing, Enrollment, and Admissions.

The position is based in Boston, Massachusetts; however, there is a possibility of traveling periodically throughout the year to our satellite campuses in Seattle, WA, Charlotte, NC, and other locations (the College would cover travel and lodging costs). Courses are taught in multiple formats including online, blended, and hybrid; however, faculty have the opportunity for a home office, but are required to maintain office hours as directed and necessary. Faculty enjoy a collegial work environment that allows for work-life balance, and are expected to be available to students, whether in-person or online. Opportunities exist for additional compensation through other non teaching activities. Faculty contribute to the College’s mission through teaching, service and scholarship. The faculty member will report directly to the Domain Lead Faculty Analytics.

This full-time, non-tenure track faculty member will teach a minimum of 6 courses throughout the academic year and work on academic and programmatic issues. Up to 50% of the candidates time will be allocated towards teaching (teaching load is subject to periodic reviews by the unit and college); actual course load may vary with other responsibilities, which include, but are not limited to the following:

  • Teach assigned courses and develop course content and materials. Blackboard certification through Northeastern University Online is required prior to teaching in the Analytics program.
  • Advance the Analytics Domain in close collaboration with the Analytics Domain Faculty, the regional campuses, and Administration, including, but not limited to recommendations for additions to, or upgrading of, curriculum, course materials, and textbooks.
  • Service to the program/college/university.
  • This service includes teaching, student advising, faculty mentoring and program support.
  • Participate in the curriculum development and assessment process.
  • Share course materials and related observations with other faculty members.
  • Be an advocate for students.
  • Keep up to date and in contact with employers regarding appropriateness of course/program content.
  • Participate in faculty recruitment and mentoring.
  • Participate in new student events such as open houses, info sessions, and orientation.


  • Terminal degree in Analytics or related field required.
  • A minimum of 5-7 years’ experience in a leadership role in advanced analytics at an enterprise. Knowledgeable about how to manage, analyze, communicate, visualize, and lead with Artificial Intelligence is a plus.
  • The ideal candidate will have taught previously at a master’s level courses and a high-level of student service.
  • A proven track record in developing programs in the analytics is preferred.
  • The successful candidate must demonstrate outstanding teaching competence (both on-ground and online), a dedication to continued improvement as an educator, and the ability to work with adult learners.

Preferred Qualifications:



Salary Grade:


Additional Information:

Northeastern University is a global, experiential and leading research university, built on a tradition of engagement with business, industry and communities to create a distinctive approach to education, research and service. Located in one of the most beautiful cities in the U.S., Boston is vibrant and stimulating and provides exciting opportunities to grow, learn and to make significant contributions. The College of Professional Studies offers innovative and flexible programs that allow adult learners and working professionals to complete their degrees. CPS offers associate, bachelor’s degree, certificate programs and post-baccalaureate programs in fast-growing fields such as biotechnology, leadership, business administration, finance, project management, information technology and management.

Degrees are delivered in full or part-time formats and courses are offered in a variety of on-campus and online options.

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff.  Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion. 

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.

To learn more about Northeastern University’s commitment and support of diversity and inclusion, please see


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