Adjunct Lecturer, Applied Analytics Capstone (Online), Fall '22

  • New York, NY, USA
  • Part-time
  • Program: Applied Analytics
  • Role: Lecturer, Part-time
  • Course Modality: Online
  • Employee Job Category: Faculty Job
  • Academic Program: APAN
  • Term: 2022 FALL
  • Division: Masters
  • Department: Applied Analytics

Company Description

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 seventeen 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.

Job Description

Columbia University, School of Professional Studies (SPS) seeks candidates to serve as a part-time Lecturer to lead a graduate-level Capstone online course on 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 and media. Sponsors include large global companies, startups, and nonprofits. 


  • Lead class lectures, instructional activities, and classroom discussion. Coach, advise and mentor student project teams over the semester-long course.

  • Attend all class sessions. Weekly instructional sessions will be held on one of the following: Wed 6-8 PM, Thurs 6-8 PM, Thurs 8-10 PM EST.

  • Serve as a liaison between students and corporate project sponsors. Participate in meetings with sponsor companies & student project teams.

  • Monitor and address student concerns and inquiries.

  • Conduct weekly office hours.

  • Evaluate, grade student work and assessments.



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. 


  • Masters degree, with a preference for a doctorate, 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

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/Affirmative Action employer.