Exponential growth in the availability of high quality real estate and real estate-related data is fueling a major shift in development, investment, and lending decision-making processes. In this highly applied course, students will be introduced to major data analysis and machine learning platforms; a wide range of public and private real estate and urban data sources; approaches to exploratory data analysis, real estate data visualization, and communication of findings; applied statistical modeling, including forecast modeling; and, emerging and prospective real estate applications for artificial intelligence and machine learning. Assessment will include case work focusing on real-world real estate decisions and coding assignments. While the data and applications for this course are principally in the real estate sector, the applied skills learned may be of interest for students across a wide range of industries.
This course examines the lifecycle of high-growth new ventures (i.e. startups), with a focus on how they are funded. We will follow a successful startup’s path from founding through the stages of new venture finance. These include developing a business plan and its financials, the core skills of valuation, the venture capital industry, and how entrepreneurs and investors realize returns. Through examples of specific companies and technologies, we will also learn about the emerging landscape of financial technology (fintech) startups. We will consider the following subsectors, where startups are either seeking to displace incumbents or sell them their services: personal finance, blockchain, equity crowdfunding, lending (peer-to-peer and AI-augmented), payments, insurance, institutional investment, and money transfer.
This course is designed for students who intend to pursue careers across the investment banking industry as well as those exploring careers in corporate strategy and management. Areas covered include equity and debt analysis, mergers and acquisitions, and corporate strategy. While the core of the course is corporate finance, the issues encompass strategy, marketing, and economics aspects. Students will learn the unique characteristics of telecom, media and technology companies/industries while building on fundamental analytical skills by examining a series of landmark and potential corporate transactions in telecom, media & technology industries to understand how TMT companies respond to secular changes and transform their business models in the midst of evolving ecosystems. Cases discussed/analyzed include: Instagram, ActivisionBlizzard, Twitch, Apple, Alphabet, Disney, FOX, AT&T, DirecTV and Time Warner.
A site for IMA NY Students to find equivalent courses outside of IMA NY
For most students joining IMA in Fall 2022 and beyond, there is a new program structure that affects the categorization of courses on this site:
Any class in any IMA major elective category (ie "Art & Design") refers to the IMA program structure previous to those entering in Fall 2022. If you are in the class of 2026 (most entering Fall 2022 or later), any course in an IMA elective category are generic IMA electives in the new structure.