Electronic markets. Digital cash. Open banking. Automated investing. These are just some of the latest disruptions to the financial services industry. But how do these new technologies actually function? What are the implications for banks, businesses, and consumers? And, perhaps most importantly, what are the limits, risks, and societal implications? Whether you work in finance or tech, hope to have a career in fintech one day, or want to learn more about this emerging area, Fintech will answer these questions and more.
Fintech is divided into six sections focused on key fintech areas: innovation, technology, incumbents vs. startups, valuation, risk, and implications. Each section contains lessons with video lectures, readings, and assessments to facilitate learning. Students will also have the option of attending live video sessions with Professor Kathleen DeRose where additional questions and topics will be addressed.
In 2001, Stern became the first business school to establish its own center for exploring new models in teaching and learning. The NYU Stern Learning Science Lab is a team of creatives, educators, designers, and technologists who work closely with faculty to create engaging and interactive courses. Leveraging the resources of Stern and NYU at large, the team applies their expertise in user experience design, learning science, and video production to build immersive digital learning environments for business school education.
Online Learning Terminology
The term "asynchronous" refers to courses or course elements that can be completed at any time within the parameters of the course schedule. Asynchronous activities are things you do independently, like watch videos and complete assignments, and interactions with others over time via email, discussion forums, collaborative documents, and other channels. The term "synchronous" refers to learning with others in real time using videoconferencing and other technologies. Our online certificate courses are asynchronous with optional synchronous elements.
This course is a non-credit, pass/fail program. To pass this course, you will need a cumulative score of at least 55%. Upon successful completion of this course, participants will receive the NYU Stern Certificate in Fintech.
Fintech Innovation and TechnologyDistinguish between financial and industrial innovation, the pros and cons of financial innovation, and its evolution and technologies
Incumbents, Startups, and the Challenge of ValuationGain an understanding of how Fintech is reconfiguring financial services business models and whether these business models will be meaningfully different than traditional financial services models
Fintech Risk and Policy ImplicationsIdentify the operational and technology risks of Fintech and its broader policy and social implications
Who Should Attend
Although there are no formal education or background requirements, this course is designed for participants who meet the criteria below. While we strongly encourage global participation, please note that all courses are taught in English. Proficiency in written and spoken English is required.
Years of ExperienceParticipants with all levels of work experience are welcome to attend
Job FunctionsIdeal for students seeking a general overview of Fintech, and for students planning for future in-depth study of any of the key topic areas
PrerequisitesIntended for individuals with general knowledge of the financial system and of basic finance concepts; additionally, students must have a desktop or laptop computer with an internet connection
The following agenda is a sample and subject to change.
- Module 0: Introduction
- Module 1: Innovation
- Module 2: Technology
- Module 3: Cases
- Module 4: Valuation
- Module 5: Risk
- Module 6: Implications
- In order to access the course, you will receive login credentials via email on the start date of the course. Activation instructions for your login credentials will be provided.
Required Books (Available Digitally)Narayanan, Arvind, Bonneau, Joseph, Felten, Edward, Miller, Andrew, and Goldfeder, Steven. 2016. Bitcoin and Cryptocurrency Technologies; A Comprehensive Introduction. Princeton University Press. Princeton, NJ. (Preface, Chapters 1, 2 and 9)
Provost, Foster, and Fawcett, Tom. 2013. Data Science for Business. O’Reilly. Sebastopol, CA. (Chapters 1 - 5)
Metrick, Andrew. 2007. Venture Capital and the Finance of Innovation. John Wiley & Sons. Hoboken, NJ. (Chapters 1 - 4)
Three Harvard Business Review articles are also required and may be purchased individually
Live Online Meetups with Faculty
- Our live online meetups provide you with the opportunity to engage face-to-face with Professor DeRose. Please note that all online meetups are recorded and available for your viewing at a later time. Missing a meetup will not impact your grade, however we recommend attending all sessions.
- Please expect to invest about 10 to 12 hours of your time per week to course lessons, exercises, and assignments.
Week 1: January 27th
- Introduction to Fintech
- Innovation and Technology
Week 2: February 3rd
- Innovation in Financial Services
- Defining Disruptive Innovation
- Live Online Meetup 1: February 5th 3:00 - 4:00 PM ET
- Quiz 1 Technology and Innovation: February 9th
Week 3: February 10th
- Data Analytics Overview
- Machine Learning Basics
Week 4: February 17th
- Machine Learning Use Cases in Fintech
- Digital Sales and Marketing
- Live Online Meetup 2: February 19th 11:00 AM - 12:00 PM ET
- Quiz 2 Machine Learning: February 23rd
Week 5: February 24th
- Behavioral Finance and Technology
- Encryption and Security
- Quiz 3 Behavioral Finance: March 1st
Week 6: March 2nd
- Blockchain and Cryptocurrencies
- Blockchain Use Cases and Business Models
- Live Online Meetup 3: March 4th 11:00 AM - 12:00 PM ET
- Quiz 4 Blockchain: March 8th
Week 7: March 9th
- Web Services
- Technology Strategy and Platforms
- Live Online Meetup 4: March 18th 12:00 - 1:00 PM ET
Week 8: March 16th
- Economics of Platforms
- Case Study - PayPal: Due March 22nd
Week 9: March 23rd
- Disruption in the Five Financial Functions
Week 10: March 30th
- Funding (VC)
- Case Study 1: Pirate Booty
- Live Online Meetup 5: April 1st 11:00 AM - 12:00 PM ET
Week 11: April 6th
- Case Study 2: Trumid
- Case Study 3: Betterment
- Case Study - Pirate Booty: Due April 12th
Week 12: April 13th
- Booms and Busts
- Live Online Meetup 6: April 15th 11:00 AM - 12:00 PM ET
- Quiz 5 Valuation Due: April 19th
Week 13: April 20th
- Operations and Technology: Smart Contracts
- Regulatory Risks, Sandboxes, and Regtech
Week 14: April 27th
- Cyber security, Fraud, and Crime
- Short Paper Due: May 3rd
Week 15: May 4th
- Financial Inclusion and Exclusion
- Fintech's Future
- Final Paper Due: May 10th
Join Our Mailing List
Stay up to date on new courses, special events, free content and more. Enter your email address below to subscribe.