Announcing the new Master of Science in Computational Finance program launching in fall 2015 at Rochester Institute of Technology.
Quantitative skills found in Computational Finance are in high demand. Initially tailored for investment and commercial banks, more industries are increasingly faced with similar challenges of culling through reams of big data requiring quantitative expertise. These emerging employer needs offer powerful career options to students that are strong in STEM disciplines.
To meet these employer needs, Saunders College of Business and the RIT School of Mathematical Sciences have launched the new MS in Computational Finance degree program. As one of the largest producers of STEM graduates, RIT is uniquely positioned to integrate finance and applied mathematics with rich traditions in industrial engineering, data analytics, computing, and information sciences.
The program leverages a strong core of highly effective teachers and researchers which is now enhanced by two new faculty hires featuring impressive quantitative credentials. Highly selective admissions ensures small class sizes, giving students exceptional access to faculty. And through built in electives, students can specialize their degree by leveraging graduate courses at other RIT colleges.
RIT uniquely offers a solid foundation in applied learning. During the program's summer term, students execute quantitative projects using real industry data, reflecting the RIT tradition of offering practical and career-focused programs. The result is high placement rates as supported by a Career & Coop office that places over 5,000 students and graduates in over 3,000 companies every year.