Financial Engineering is a multidisciplinary field that combines financial theory, mathematics applications, engineering methods, and programming practices. Financial engineers apply mathematical and quantitative methods to financial problems.

Our accredited, two-year online Program offers nine instructor-guided courses and a Capstone project with a unique emphasis on applied learning and collaboration. Students are also given instruction to help them develop the presentation skills needed to succeed in professional business settings. By working together to address real-world problems, our students not only master essential skills but also learn to work effectively and to meet the growing "soft skills" expectation of global employers.

From Python and machine learning to econometric modeling, our students master the skills that modern employers demand.

The Applied Data Science Lab is a credentialed offering where students tackle real-world meaningful, and complex problems. By completing a series of end-to-end data science projects, they build the wrangling, analysis, model-building, and communication skills to prepare them for success in data-centric careers in both the private and public sectors.

During this self-paced course, students will complete 8 projects that range from exploring housing prices in Mexico to predicting air quality in Kenya. They will work with publicly available datasets, upon which they can develop larger portfolio projects. Each student will gain access to a learning environment in which they will receive real-time feedback on their progress, collaborate with their peers, and attend live sessions with an instructor.

Upon completion, students will be able to query different types of databases, clean messy data, build predictive models for regression and classification, create compelling visualizations for project stakeholders — all while considering the ethical, social, and environmental impact of their work.