CFA Institute Launches Data Science for Investment Professionals Certificate

Certificate will allow participants to learn about the use of AI and machine learning in the investment process and develop in-demand skills for jobs at the intersection of data science and investment management

CFA Institute, the global association of investment professionals, has launched its Data Science for Investment Professionals Certificate designed to provide current or aspiring investment professionals with practical knowledge of the fundamentals of artificial intelligence and machine learning techniques and how they are used in the investment process.

The Data Science for Investment Professionals Certificate is suitable for individuals from a variety of backgrounds and requires no prior data science knowledge. Among those most likely to benefit are current or aspiring investment professionals in roles including, but not limited to, investment analyst, portfolio manager, relationship manager, and trader.

What does studying for the Certificate involve?

The Certificate comprises five interactive courses totalling approximately 100 hours, which participants can study in their own time, followed by a final 90-minute assessment. The content is hands-on application-oriented and includes instructional videos, coding labs, and case studies from industry practitioners.

Participants will learn how to:

The five courses are:

Richard Fernand, Head of Certificate Management at CFA Institute comments:

Data science is sweeping the investment industry, but currently only about one in four investment professionals interested in acquiring the necessary knowledge is actively doing so. As asset managers continue to adapt to the fast-changing dynamics of the AI, big data, and machine learning environment, everyone in an investment role will need to understand how they can utilize data science techniques.

The Data Science for Investment Professionals Certificate seeks to address this skills gap by providing a strong foundational learning and practical content for anyone working in any investment-related job. It equips learners with the knowledge to understand the application of data science in the investment process, as well as the language to be able to explain and translate machine learning concepts and their application to real-world investment problems. These skills will be key for professionals wishing to position themselves for the growing number of jobs found at the intersection of data science and investment management.

According to a CFA Institute report The Future of Work in Investment Management: The Future of Skills and Learning, almost two thirds (64 percent) of surveyed investment professionals report an interest in learning more about AI and machine learning. In the same survey, just three percent of investment professionals say they are already proficient in AI and machine learning concepts.

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