作为常春藤院校之一,康奈尔大学一直都是不少同学在做美国研究生申请时的梦校。其中,康奈尔大学的金融工程硕士项目更是不少学子心中非去不可的选择。让我们来一起看看这个项目的官方介绍吧~
Cornell MFE consists of (3) semesters (Fall-Spring-Fall) and allows for a summer internship after the first year. All students begin their studies on our scenic Ithaca campus, and they will complete their studies at Cornell Financial Engineering Manhattan in the heart of New York City.
For the price of one program, students have a diversity of settings to experience the full range of Cornell University.
structured to offer a flexible curriculum, Cornell MFE allows students to focus on a career track of their choice. Some of the most popular career tracks include:
l Trading
l Quantitative Portfolio Management
l Financial Data Science/Fintech
l Financial Risk Management
To complete the ORIE Core Requirements, students must take a certain minimum number of credit hours from three modeling and data science modules (see chart above). While the selection of qualifying courses in each module is broad, each course is strategically hand-picked across various departments to offer students the knowledge most sought after in the field of quantitative finance. In addition, students must take certain credit-hours from the Financial Applications module for completion of the financial engineering concentration (MFE). Financial Applications Module includes courses from the Johnson Graduate School of Management and Cornell Financial Engineering Manhattan (CFEM).
CFEM, established in 2007 as a satellite New York City campus for Cornell MFEs, serves to connect our students with alumni and other practitioners working in the field of quantitative finance.
Most of the CFEM coursework is taught by practitioners. Our practitioner lecturers work in the same field as the courses they teach (see full list of faculty). CFEM courses change year to year in response to the fast-paced needs of the financial industry. For specific qualifying courses, please see the ORIE MEng Handbook (pages 6-7 for ORIE Core and pages 11-12 for Financial Applications). Please email us for a copy of the handbook.
The Financial Data Science Certificate (FDSC) is integrated in the curriculum and is designed specifically for students who are interested in deepening their knowledge of machine learning and data science applications. FDSC coursework equips students with the knowledge that brings immediate value to an organization. Upon completion, students will have solid backgrounds in each of the following:
l Theory: Understand the value-added and potential uses of data science in finance
l Data: Collect/scrape data and create data environment









