Course Detail (Course Description By Faculty)

Healthcare Finance (35118)

This course discusses the challenges to finance progress in healthcare in the 21st century, and the possible solutions, with a specific focus on drug discovery. The course reviews the current framework for drug approval, including the economics of clinical trials, and introduces the tools used for investment valuation, such as decision trees, financial and real options, Monte Carlo simulations, and portfolio theory applied to drug discovery and development. We review the venture capital and private debt markets as source of funding. We finally discussthe recent area of personalized medicine and targeted therapies, its current challenges, and the promises offered by new technologies, such as machine learning and artificial intelligence, and their impact on healthcare finance. Case studies are used to cement the concepts discussed in class.

Prerequisites for this course are a course in Statistics such as 41000 (or equivalent), and either a course on Investments such as 35000 (or equivalent), or Corporate Finance such as 35200 (or equivalent): strict. Students are expected to use Excel spreadsheets or other similar tools to solve problem sets and case studies.
  • Strict Prerequisite

Lecture notes (on Canvas)

Case Studies (on Canvas)

Book: Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation, by Andrew W. Lo and Shomesh E. Chaudhuri

Based on class participation (10%), weekly homework (20%), in-class midterm (30%), and in-class final (40%).
Description and/or course criteria last updated: August 01 2025
SCHEDULE
  • Autumn 2025
    Section: 35118-01
    T 8:30 AM-11:30 AM
    Harper Center
    C09
    In-Person Only
    New Course

Healthcare Finance (35118) - Veronesi, Pietro>>

This course discusses the challenges to finance progress in healthcare in the 21st century, and the possible solutions, with a specific focus on drug discovery. The course reviews the current framework for drug approval, including the economics of clinical trials, and introduces the tools used for investment valuation, such as decision trees, financial and real options, Monte Carlo simulations, and portfolio theory applied to drug discovery and development. We review the venture capital and private debt markets as source of funding. We finally discussthe recent area of personalized medicine and targeted therapies, its current challenges, and the promises offered by new technologies, such as machine learning and artificial intelligence, and their impact on healthcare finance. Case studies are used to cement the concepts discussed in class.

Prerequisites for this course are a course in Statistics such as 41000 (or equivalent), and either a course on Investments such as 35000 (or equivalent), or Corporate Finance such as 35200 (or equivalent): strict. Students are expected to use Excel spreadsheets or other similar tools to solve problem sets and case studies.
  • Strict Prerequisite

Lecture notes (on Canvas)

Case Studies (on Canvas)

Book: Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation, by Andrew W. Lo and Shomesh E. Chaudhuri

Based on class participation (10%), weekly homework (20%), in-class midterm (30%), and in-class final (40%).
Description and/or course criteria last updated: August 01 2025
SCHEDULE
  • Autumn 2025
    Section: 35118-01
    T 8:30 AM-11:30 AM
    Harper Center
    C09
    In-Person Only
    New Course