Empowering venture capitalists with data, theory, and AI for informed decisions
In today’s fast-moving investment landscape, the vast availability of data and the potential of using AI-driven tools can reshape how venture capitalists evaluate opportunities and mitigate risk. This course is designed to teach venture capitalists to harness the power of rigorous thinking and AI tools for smarter, faster, and more informed decision-making. It offers a structured approach to:
Frame investment decisions using theories and data.
Employ AI tools to support the formulation and test of theories.
By integrating decision-making theories and AI into the investment process, this course provides venture capitalists with a practical, efficient pathway to mastering theoretical reasoning, statistical analysis, and AI-enhanced decision-making.
Pillar I
How Can Venture Capitalists Make Smarter Investment Decisions?
Pillar II
A Scientific Method for Investment Decision-Making
Pillar III
Basic Data Analysis Tools for Analyzing and Interpreting Data
Pillar IV
A scientific approach to framing and validating investment decisions
Pillar V
Running Data-Driven Experiments to Select Projects
Pillar VI
Artificial Intelligence for Smarter Investment Decisions
Same topic, Similar duration - Broader exploration across all institutes
Speak with an Advisor
Prashansa Uttam
Programme Advisor
Executive Education Office
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