Adjunct Lecturer, Solving Real World Problems with Analytics (ONLINE - Summer/Fall '26)

Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.

The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional Master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.

Columbia University, School of Professional Studies (SPS) seeks candidates to serve as part-time Lecturers to participate on the faculty team for a graduate level Capstone course: Solving Real World Problems with Analytics . This course is the culminating experience for graduate students in our Applied Analytics Master of Science degree program. Students apply their academic learning to a real-world challenge by participating in a consulting engagement with a leading corporate or institutional project sponsor. Capstone sponsors span industry sectors including finance, healthcare, consumer retail, digital media, non-profit. Sponsors include large global companies, startups, and nonprofits.

Lecturers are the primary instructors for courses and an invaluable component of the faculty community.

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.

Responsibilities

Attend all class sessions. Weekly instructional sessions will be held on one of the following: Wed 6:10-8 PM ET, Thurs 6:10-8 PM ET, Thurs 8:10-10 PM ET.; Serve as a mentor and coach to students and a liaison with corporate project sponsors. Participate in meetings with sponsor companies & student project team.; Monitor and address student concerns and inquiries.; Conduct weekly office hours.; Serve as a liaison between students and corporate project sponsors. Participate in meetings with sponsor companies & student project teams.; Evaluate and grade student work and assessments.

Requirements

Doctoral degree in an academic area related to data analytics.; 7+ years of professional experience in roles related to data analytics.; Strong technical skills - especially proficiency with R and Python programming.; Consulting experience, working with either external or internal clients.

Nice to have

2+ years of teaching experience, ideally at the graduate level.