This experience is designed for learners in the MS Financial Engineering Capstone course, where they will apply advanced financial techniques and data analysis skills to real-world industry projects. Participants will leverage their knowledge of factor models, Monte Carlo simulations, econometrics, and AI techniques to solve complex financial problems. By working closely with industry professionals, learners will gain practical insights and expertise in areas such as portfolio management, sustainable finance, and financial data analysis. This experience would take place during the fall semester: 9/2/25 - 12/11/25 Each project should require 100-120 hours/student hroughout the course of the semester, and student will receive a grade & credit for this.

This experience is designed for learners in the MS Financial Engineering Capstone course, where they will apply advanced financial techniques and data analysis skills to real-world industry projects. Participants will leverage their knowledge of factor models, Monte Carlo simulations, econometrics, and AI techniques to solve complex financial problems. By working closely with industry professionals, learners will gain practical insights and expertise in areas such as portfolio management, sustainable finance, and financial data analysis.

We know strategic data analysis - how to combine data science with strategic thinking . We have proven expertise in cutting edge research with the unique ability to develop proven capability to deliver large, complex, technology-based projects on-time and on-budget. This is the culminating project and serves as a unifying academic and intellectual experience for students to apply the full range of their coursework to a real-world business problem. Students will leverage their strategic data analysis knowledge towards a real-world analytical project focused on your organization's data issues. Analyses can contain technical areas, but should be focused on matching technical skills with your business needs. Examples of analyses that would be a good fit: software selection, system configuration decisions, and use recommendations. Visit our website for more information on our Capstone projects!

We know strategic data analysis - how to combine data science with strategic thinking . We have proven expertise in cutting edge research with the unique ability to develop proven capability to deliver large, complex, technology-based projects on-time and on-budget. This is the culminating project and serves as a unifying academic and intellectual experience for students to apply the full range of their coursework to a real-world business problem. Students will leverage their strategic data analysis knowledge towards a real-world analytical project focused on your organization's data issues. Analyses can contain technical areas, but should be focused on matching technical skills with your business needs. Examples of analyses that would be a good fit: software selection, system configuration decisions, and use recommendations. Visit our website for more information on our Capstone projects!

We know strategic data analysis - how to combine data science with strategic thinking . We have proven expertise in cutting edge research with the unique ability to develop proven capability to deliver large, complex, technology-based projects on-time and on-budget. This is the culminating project and serves as a unifying academic and intellectual experience for students to apply the full range of their coursework to a real-world business problem. Students will leverage their strategic data analysis knowledge towards a real-world analytical project focused on your organization's data issues. Analyses can contain technical areas, but should be focused on matching technical skills with your business needs. Examples of analyses that would be a good fit: software selection, system configuration decisions, and use recommendations. Visit our website for more information on our Capstone projects! Connect with our faculty on Linkedin! Christopher Policastro Thomas Mazzone Jabril Bensedrine Graham Dove

This is the culminating project and serves as a unifying academic and intellectual experience for students to apply the full range of their coursework to a real-world business problem. Please visit our website for more information on our Capstone projects! Connect with our Capstone faculty on LinkedIn! Professor Thomas Mazzone Professor Jabril Bensedrine

Students will leverage their data analysis knowledge while conducting a real-world analysis project focused on your organization's data issues. The analysis can contain technical areas, but it should be focused on matching technical capabilities with your business needs. Examples of analyses that would be a good fit include Software selection, system configuration decisions, and use recommendations. Please visit our website for more information on our Capstone projects! Connect with our Capstone faculty on Linkedin! Professor Christopher Policastro