Shidler College of Business - (MFE)
Master of Financial Engineering Program

The Shidler College of Business's rigorous MFE program has employed world-class professors and practitioners to guarantee the highest academic standards. Class sizes are kept small to enhance student learning, and emphasize a real world experience with practical application. Students will have access to Bloomberg, and other resources used in the industry. Classes are held in one of our high-tech classrooms.

The MFE program will provide students with the necessary mathematical and computational skills to succeed in today's complex financial environment. The emphasis on practical application will provide students the ability to transition the studied material to a successful career.

As the financial world becomes increasingly complex, financial and non-financial institutions are actively working to various types of risk as market risk (interest rate risk, equity risk, commodity risk, currency risk), credit risk (default risk and migration risk), or different types of operational risk. Theses risks can comprise thousands of correlated positions.

In investment banking, numerous intricate structures used to increase investor returns as well as reduce various types of risk have come to the market, such as CMOs (Collateralized Mortgage Obligations) and CDOs (Collateralized Debt Obligations). Mathematics and Computer Science are two critical tools for valuing and managing institutions' complex risks and financial structures.

This is precisely where Financial Engineering comes in, applying Mathematics and Computer Science in order to value and reduce risks in the financial sector and thereby avoid, or at least reduce, financial crises.

CURRICULUM

The MFE program is an intensive one-year program, commencing in August and finishing exactly one year later. Our full-time academic calendar consists of a Fall Semester, Spring Semester, a Summer 1 term, and a Summer 2 Internship term from mid-July to the end of August.

MFE Program Courses

Fall 2009
PDEs and Stochastic Calculus (Tom Ramsey)
Programming in Finance (Peter Fuleky)
Capital Markets & Portfolio Optimization (David Hunter)
Financial Derivatives (Gunter Meissner)

Spring 2010
Econometrics & Financial Forecasting (Qianqiu Liu)
Insurance & Risk Management (Jing Ai)
Interest Rate & Credit Models (Gunter Meissner)
Environmental Finance & Weather Derivatives (S. Businger, K. Hamilton, G. Meissner)

Summer I
Financial Modeling (Dan Port)
Research Seminar (Victor Huang)

Summer II
Internship

JOB PROSPECTS

An education is a significant and valuable investment in yourself. We hold an aggressive job placement policy aimed at transitioning students from the class room to professionals in their desired career paths. Your decision to join us in the MFE program and invest yourself for one year will provide you with the necessary knowledge to prepare your a career in:

• Investment Banking
• Risk Management
• Portfolio Management
• Private Equity Management
• Carbon Credit Trading
• Financial Programming
• Algorithmic Trading