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This module focuses on the technical, quantitative and analytical aspects of business. Courses cover strategy, data analytics, fintech, risk and leadership, delivered by some of NYU Stern’s best-rated professors.
New York University Stern School of Business, located in the heart of Greenwich Village and deeply connected with the City for which it is named, is one of the nation’s premier management education schools and research centers.
NYU Stern offers a broad portfolio of transformational programs at the graduate, undergraduate and executive levels, all of them enriched by the dynamism and deep resources of one of the world’s business capitals.
NYU Stern is a community that fosters inclusion, belonging, diversity and equity, and inspires its members to embrace change in a globally changing world.
Module 4’s courses give you the technical, quantitative and analytic foundation that all business leaders need fluency in.
We examine the concepts and tools required to devise Competitive and Analytic Strategies that enable firms to deliver superior value to chosen customers while simultaneously capturing a sufficient share of that value.
We look at the measurement and management of risk, examining the models and frameworks that underpin much of modern risk-management.
We will also give you a thorough understanding fintech and why it is important for all entrepreneurs to know about and recognize. This new course covers digital currencies, blockchains, and related topics in the fintech area.
We continually innovate the TRIUM program, so each year is set up slightly differently. The following courses are a sample of what you’ll cover in your time in New York.
A big-picture perspective from renowned valuation expert, Professor Aswath Damodaran. We start with the basics of valuation and how to convert tools and models into valuations, then Aswath shares his six big lessons learned across the years teaching, doing and acting on valuations.
This course explores how data can (and cannot) be used to make significant strategic decisions within organizations.
We build on your introductory coursework on finance, accounting, and strategy in a way that links these core business concepts both to each other, and to the broad idea of analytical (data-driven) decision making.
This course covers the current conditions and outlook in global corporate and sovereign credit markets and the development and applications of prediction models of corporate distress and reorganization. Professor Altman will review the incredible evolution of his Z-Score models over the last 50 years and its applications in financial and managerial markets.
We analyze firms and countries from both macro-financial and firm-level perspectives, assessing the impact of the recent financial crisis and recovery on yields and returns in risky debt markets, and how to understand risk and return tradeoffs. With respect to sovereign debt markets, we will explore Professor Altman’s new and unique model for assessing sovereign default risk and the survival of the Euro. Finally, we examine the evolution and current status of credit risk models and applications for predicting corporate distress, using techniques pioneered by the instructor and others.
This course looks at how Fintech is reconfiguring financial services business models and how financial innovation is evolving differently around the world.
We look at whether Fintech can deliver on its promise to improve financial transparency, accessibility, and cost, and investigate whether traditional financial intermediaries can adapt or will Fintech upstarts disrupt them, re-imagining business models just as Amazon reshaped book-selling and Uber transformed taxi-rides. We also look at the technology involved, as well as social and legal implications.
This course covers digital currencies, blockchains, and related topics in the Fintech area, perhaps the most significant innovation in the financial world since the advent of double-entry bookkeeping centuries ago.
The technology appears to represent an existential challenge for major parts of the finance industry.
This course examines the major trends in digital marketing using tools from business analytics. While there will be sufficient attention given to top level strategy used by companies adopting digital marketing, the focus of the course is also on business analytics: how to make firms more intelligent in how they conduct business in the digital age.
The course is based on cutting-edge projects and consulting assignments that the Professor has been involved in with various companies over the last few years.
Professor Marciano joined New York University Stern School of Business as a Clinical Associate Professor of Management and Organisations in July 2007. Prior to joining NYU Stern she taught Strategy at Columbia Business School and was an Institute Fellow and Senior Lecturer at Harvard University’s Institute for Strategy and Competitiveness.Faculty focus
Edward I. Altman is the Max L. Heine Professor of Finance, Emeritus at the Stern School of Business, New York University. He is the Director of Research in Credit and Debt Markets at the NYU Salomon Center for the Study of Financial Institutions. Prior to serving in his present position, Professor Altman chaired the Stern School's MBA Program for 12 years. Dr. Altman was named to the Max L. Heine endowed professorship at Stern in 1988 and his Emeritus status in September 2015.Faculty focus
Aswath’s contributions to the field of Finance have been recognized many times over, with numerous awards. Before coming to Stern, Aswath lectured in Finance at the University of California, Berkeley.Faculty focus
J.P. Eggers joined New York University Stern School of Business as an Assistant Professor of Management and Organizations in July 2008. Professor Eggers teaches the core M.B.A. strategy class and a strategy capstone elective. Professor Eggers's research interests focus on technological change, decision-making under uncertainty and new product development. Specifically, he studies the challenges faced by managers and executives in making good decisions and addressing new opportunities in emerging technologies. His recent work examines firms that backed the wrong technology during the emergence of the flat panel display industry and the role that managerial cognition played in determining the course of organizational action during the early years of the fiber optics industry.
Anindya Ghose is the Heinz Riehl Chair Professor of Business at New York University's Leonard N. Stern School of Business where he holds a joint appointment in the IOMS and Marketing departments. He is the author of TAP: Unlocking The Mobile Economy, which is a double winner in the 2018 Axiom Business Book Awards and has been translated into multiple languages. He is the Director of the Masters of Business Analytics Program at NYU Stern. He is a Leonard Stern Faculty Scholar with an MBA scholarship (the Ghose Scholarship) named after him. He has been a Visiting Professor at the Wharton School of Business. In 2014, he was named by Poets & Quants as one of the Top 40 Professors Under 40 Worldwide and by Analytics Week as one the "Top 200 Thought Leaders in Big Data and Business Analytics".Faculty focus
Following Module 4, you will work on group assignments and individual assignments that will be due in August, covering topics learnt in the courses of the module.
With your Capstone Team, you’ll prepare a formal presentation to share with your classmates during Module 5.
The benefits of TRIUM go beyond just the transformational academic program. By joining our program you will enter a remarkable network of high-achieving global business leaders. The TRIUM Global Executive MBA alumni are among the most qualified and insightful in the international business world.
Being a man who loves numbers, I have to say our Valuation class with Professor Damodaran was a unique experience. His mastery of the topic along with his ability to convey complex business scenarios in a simple and entertaining fashion is impressive.
I never thought number crunching would be so much fun! Quantitative Analysis with Professor Matt Mulford and Valuation with Professor Aswath Damodaran were just spectacular. Learning was never more fun than in these classes; their ability to teach processing numbers with a story is too brilliant.
You expect world-class academia and that was certainly the experience. You meet people who are specialists in their ﬁelds with resources and if you connect the dots as a group you can make fantastic projects happen.