UCL School of Management

Module Fact Sheet

MSIN0173: Emerging Business Technologies

Taught by
Nikhil Vadgama
Level
Masters
Prerequisites
None
Eligibility
UCL MAB PKU students only
Assessment
Coursework 100%
Previous Module Code
N/A

Course overview

This module explores how the emerging technologies of Artificial Intelligence (AI) and Distributed Ledger Systems (DLT) are affecting our socio-economic systems.

Students will learn the backgrounds of these technologies and then explore how they are affecting business models and processes as well as disrupting industries by creating new market opportunities. Students will examine how different stakeholders are being affected and how organisations can set strategies in the face of these technologies.

The module will introduce tools and frameworks for various stakeholders to understand how to act through the framing of AI as enabling cheaper prediction and DLT as enabling cheaper value transfer.

Learning outcomes

Upon successful completion of the course, students should:

  • Understand how Artificial Intelligence (AI), Machine Learning (ML), and Distributed Ledger Systems (DLT) are affecting businesses, markets, and their stakeholders.
  • Understand how to set strategies in the face of AI/ML and DLT.
  • Become familiar with tools and frameworks in AI/ML and DLT to understand how to act through the framing of AI as enabling cheaper prediction and DLT as enabling cheaper value transfer.

Assessment summary

Coursework 100%

Essential reading

Required Reading

  • Prediction Machines: The Simple Economics of Artificial Intelligence, (ISBN-13: 978-1633695672)
  • Catalini, Christian and Gans, Joshua S., Some Simple Economics of the Blockchain (September 21, 2017). Rotman School of Management Working Paper No. 2874598; MIT Sloan Research Paper No. 5191-16. Available at SSRN: https://ssrn.com/abstract=2874598 or http://dx.doi.org/10.2139/ssrn.2874598
Last updated Friday, 28 June 2019