Adjunct Associate Faculty, Intro to Blockchain, Cryptocurrencies & Analytics; On-campus​/Online

Adjunct Associate Faculty, Intro to Blockchain, Cryptocurrencies & Analytics (On-campus/Online, Fall '26)

• Part-time
• Employee Job Category:
  Faculty Job
• Term: 2026 FALL
• Role:
  Associate, Part-time
• Department:
  Applied Analytics
• Division:
  Masters
• Program:
  Applied Analytics
• Academic Program: APAN

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.

Seeking professionals to serve as a part-time Adjunct Associate for a graduate-level course in Introduction to Blockchain, Crypto-currencies & Analytics
. This course provides our Applied Analytics Master of Science degree students with an introduction to blockchains and crypto-currencies as well as cryptographic protocols, hash, digital signatures, chaining of blocks of transactions, decentralization using mining based on proof of work, and smart contracts.

An Adjunct Associate is a faculty line junior to a Lecturer, that provides subject matter expertise and supports the instructional process for a course section. Serving as an Adjunct Associate is an outstanding way to gain exposure to graduate level teaching at Columbia University.

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.

• Graduate degree in an area related to applied analytics such as statistics, economics, mathematics, etc.
• Solid knowledge and academic foundation in statistics.
• Deep understanding of machine learning concepts and algorithms.
• Proficiency in R and Python programming.
• 3+ years professional experience and demonstrated success in a role involving applied analytics.

• Teaching experience, ideally at the graduate level.

Salary range: $2,000 - $3,000 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/Affirmative Action employer.