Course Overview

The Computational Finance (MS) at Rochester Institute of Technology (RIT) is designed to provide students with a strong foundation in financial theory, mathematics, and computational techniques. This interdisciplinary program aims to prepare graduates for quantitative roles in the finance industry by combining advanced financial modeling with programming and data analysis skills. Unique features include a focus on real-world applications through case studies and access to cutting-edge financial software.

Career Prospects

Graduates of this program are well-positioned for careers in financial analysis, risk management, and quantitative trading. The curriculum emphasizes skills in data-driven decision-making, making students competitive in a rapidly evolving industry.

Key Faculty and Staff

Specific faculty information for this program is not publicly detailed in available sources. However, the program is supported by experienced professors from RIT's Saunders College of Business with expertise in finance and computational methods.

Unique Facilities and Partnerships

Students have access to RIT's state-of-the-art financial simulation labs and software tools commonly used in the industry. The university also maintains partnerships with financial institutions for internship and networking opportunities, enhancing practical learning experiences.