Course Overview

The Quantitative and Computational Finance (MS) at Georgia Institute of Technology is an interdisciplinary program designed to equip students with advanced skills in financial theory, mathematics, and computational techniques. The curriculum focuses on preparing graduates to solve complex problems in financial markets through quantitative modeling, risk management, and algorithmic trading strategies. A unique feature of this program is its integration across multiple schools at the university, including the Scheller College of Business, the School of Mathematics, and the School of Industrial and Systems Engineering, fostering a blend of theoretical and applied learning.

Career Prospects

Graduates of this program are well-positioned for roles in investment banking, asset management, hedge funds, and financial technology sectors. The program emphasizes practical skills and industry relevance, ensuring students are prepared for high-demand, analytical roles in the finance industry.

Key Faculty and Staff

While specific faculty names are subject to change, the program is supported by distinguished professors from the Scheller College of Business, School of Mathematics, and School of Industrial and Systems Engineering, many of whom are recognized experts in financial modeling and computational methods.

Unique Facilities and Partnerships

The program benefits from access to state-of-the-art computational resources and financial data platforms at Georgia Tech. Additionally, its location in Atlanta provides proximity to major financial institutions and tech hubs, facilitating networking opportunities and industry collaborations.