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Biotechnology: Science, Business, and Innovation
Discover advanced biotech innovations and their market applications in this MIT program exploring biological engineering frontiers and business strategies.
Discover advanced biotech innovations and their market applications in this MIT program exploring biological engineering frontiers and business strategies.
Delve into the dynamic world of biotechnology with this MIT course that bridges scientific innovation and business acumen. Discover the latest advancements in biotherapeutics, including recombinant proteins, monoclonal antibodies, gene therapies, and cancer immunotherapies. Gain insights into the challenges of early-stage biotech companies, from drug discovery to clinical development. Learn how novel business structures and financing methods can accelerate the delivery of life-saving therapies. This course combines in-depth scientific knowledge with practical business and financial strategies, preparing you to navigate the complex landscape of biotechnology commercialization.
4.3
(16 ratings)
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What you'll learn
Understand the science behind cutting-edge biotherapeutics and their potential applications
Analyze the financial risks and returns of the biotechnology and pharmaceutical industries
Evaluate the scientific and business potential of biotech startups
Apply capital budgeting techniques to pharmaceutical company investments
Understand the process of drug development and clinical trials
Explore innovative financing methods for early-stage biotechnology companies
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 11 modules in this course
This comprehensive course explores the intersection of biotechnology science and business. It covers a wide range of topics, from the latest scientific innovations in biotherapeutics to novel business and financing models for commercializing these discoveries. The curriculum includes detailed study of various types of biotherapeutics, including recombinant proteins, monoclonal antibodies, gene therapies, and cancer immunotherapies. On the business side, students learn about financial analysis in life sciences, capital budgeting for pharmaceutical companies, biotech startup financing, and innovative funding structures like biomedical megafunds. The course also addresses crucial aspects of the biotechnology industry such as drug development processes, clinical trials, healthcare analytics, and ethical considerations in drug pricing and value assessment.
Intro to the Science of Biotech and Healthcare Finance
Module 1
Therapeutic Recombinant Proteins; Present Value
Module 2
AAV Vectors & In Vivo Gene Therapy; Capital Budgeting
Module 3
Ex Vivo Gene Therapy; Stocks and Bonds
Module 4
Gene Editing; Options
Module 6
Clinical Trials
Module 7
Antibody Generation; Venture Capital & New Business Models
Module 8
Monoclonal Antibodies; Securitization
Module 9
Cancer Immunotherapeutic; Healthcare Analytics
Module 10
New Cell Therapies; Pricing, Value & Ethics
Module 11
Fee Structure
Instructors
Pioneering Financial Economist and Adaptive Markets Theorist
Dr. Andrew W. Lo is the Charles E. and Susan T. Harris Professor at MIT's Sloan School of Management, where he directs the Laboratory for Financial Engineering. After earning his B.A. in economics from Yale University in 1980 and Ph.D. from Harvard University in 1984, he taught at Wharton before joining MIT in 1988. His research spans evolutionary approaches to investor behavior, systemic risk, financial regulation, and innovative funding models for biomedical research.
Financial Engineering Scholar and Risk Management Expert
Zied Ben Chaouch is a Ph.D. candidate in MIT's Electrical Engineering and Computer Science department, working under the supervision of Professor Andrew Lo at the Laboratory for Financial Engineering. After earning his undergraduate degree in Mathematics and Physics from McGill University in 2014, he completed his Master's at MIT studying opinion dynamics and network consensus under Professor John Tsitsiklis. His research spans risk management, asset pricing, portfolio theory, machine learning, and healthcare finance, with recent work focusing on empirical asset pricing and Bayesian decision analytics for healthcare applications. His teaching excellence was recognized with the Frederick C. Hennie II Teaching Award from MIT's EECS department for his contributions as a TA in probability courses and creating a math camp for incoming doctoral students. Beyond academia, he has published influential papers on COVID-19 vaccine allocation strategies, patient-centered clinical trials, and healthcare finance. His work combines sophisticated mathematical modeling with practical applications in finance and healthcare, reflecting his interdisciplinary background in physics, mathematics, and computer science.
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