Rensselaer Polytechnic Institute (RPI)’s Information Technology and Web Science (ITWS) program, the first of its kind in the United States, became part of the university’s Lally School of Management on August 16, 2025.
The Lally School of Management at Rensselaer Polytechnic Institute (RPI) has launched several new STEM-designated degree programs designed to mold a new generation of leaders fluent in the emerging technologies reshaping American society.The programs include Bachelor of Science degrees in finance and marketing, as well as an MBA focused on AI and advanced computing.
Jackson Tai '72, a leader in cross-border finance and risk governance, and his wife, Kay, have made a transformative $5 million gift to Rensselaer Polytechnic Institute (RPI), creating the Kay and Jackson Tai '72 Endowed Chair in Finance, Risk, and Advanced Computing at RPI's Lally School of Management.
Rensselaer Polytechnic Institute (RPI) announced the appointment of Professor Jennifer Pazour, Ph.D., from the School of Engineering and Professor M. Hakan Hekimoglu, Ph.D., from the Lally School of Management as James M. Tien ’66 Dean’s Faculty Fellows in Decision Sciences and Engineering Systems (DSES).
High school innovators and students with entrepreneurial aspirations have a new chance at a significant scholarship to Rensselaer Polytechnic Institute’s (RPI) Lally School of Management.
As Rensselaer Polytechnic Institute celebrates its Bicentennial, we reflect on the many great minds, pioneers, entrepreneurs, and game-changers who are Rensselaer alumni. In 1995, the Rensselaer Alumni Association, with the full endorsement of the Institute Board of Trustees, created the Rensselaer Alumni Hall of Fame to preserve and celebrate the exceptional heritage of alumni accomplishments throughout the years. Honorees are chosen by a selection committee based on reputation, professional achievements, service and career contributions, and uniqueness. Etched glass windows located centrally on the Rensselaer campus honor their accomplishments.
Optimizing an investment portfolio to maximize returns while minimizing risk is the ultimate goal for investors and their advisers. However, there is no set path and challenges always arise. One such limitation is the high-dimensional, small-sample problem (HDSS). HDSS refers to a portfolio with a large number of assets but little historical data, leading to unreliable portfolio optimization and resulting in weak investment performance.