Adjunct Lecturer, Solving Real World Problems with Analytics (ONLINE - Summer/Fall '26)
About the position
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.
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-haves
• 2+ years of teaching experience, ideally at the graduate level.
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.
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-haves
• 2+ years of teaching experience, ideally at the graduate level.