Adjunct Lecturer, Solving Real World Problems with Analytics (ONLINE - Summer/Fall '26)
This adjunct role requires guiding graduate students through real-world analytics consulting projects for diverse sponsors, blending technical expertise with mentorship to bridge academic knowledge and industry applications. Lecturers must facilitate collaboration, interpret complex data insights, and ensure students deliver actionable solutions to corporate and nonprofit challenges.
Skills required
About this role
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.
Qualifications
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.
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.
Preferred Skills & Experience
2+ years of teaching experience, ideally at the graduate level.
Additional Information
Salary range: $11,000 - $13,000 per semester long course
Please submit a resume inclusive of university teaching experience.
All your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity Employer / Disability / Veteran
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