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Visitors Program

On-Campus Visits with Smith Ambassadors

Prospective students are invited to come and visit Smith this Spring! During one of our Visitors Program events, attendees will visit a class, have lunch with current students, and will attend presentations from our admissions team, a current student, and our Office of Career Services. Those in attendance will also receive an application fee waiver. One admitted student that attends a Visitors Program will receive a $20,000 scholarship!

These visits are a great opportunity to experience our diverse learning environment and to witness the top-notch instruction by our faculty. Having the opportunity to meet with current Smith MBA's is also an invaluable chance for candidates to view the program from the perspective of a current student. We believe that the best way for candidates to learn about our program here at Smith is to experience it first hand. Sign up for a Visitors Program to experience it for yourself!

February 28th
Leading Strategically
Leadership development is the process of enhancing your skills to influence and organize others to accomplish key goals. It goes beyond leadership theories by focusing on building skills to inspire and organize people to achieve tangible results. The approach taken in this class follows that used by most effective leadership development programs: comprehensive self-assessments, experiential exercises, action learning projects, and individually tailored skill-improvement plans.
 
Capital Markets
Designed to deepen the foundations necessary to finance focused students, especially those intending to specialize in the quantitative areas of finance including investments, fixed income, and financial engineering.
 
March 8th
Consumer Behavior
Analysis of customer decision-making and how marketing strategy can be used to influence those decisions. The framework is a buyer behavior model, in which concepts from psychology, sociology, and economics are applied to individual and organizational purchase decisions. Marketing strategies of leading firms in consumer products, technology, and services (including internet services) are analyzed using a variety of case study formats. Focus is consumer behavior; however, principles can also be applied to the decision-making of business.
 
Valuation Corporate Finance
An advanced topics course in Corporate Finance dealing with valuation. Main topics will be, building pro forma statements, cost of capital, using ratios and comparable to value projects and firms, discounted cash flow valuations, WACC and APV methods of valuation and Real Option Valuations.
 
April 4th
Financial Strategy for Corporations 
An advanced course in corporate finance, focusing on the issues that firms face when they plan to raise external capital from financial markets. The focus is on the financing problems faced by mid-market to large firms and on capital raised from public markets. The forms of external finance vary from simple debt or equity to more complex securities that bundle with an element of risk management.
 
Market Forecasting-
In this course, students will learn a number of market forecasting methods, each appropriate for different contexts. The majority of this course focuses on quantitative modeling techniques based on established statistical methods. We also cover non-statistical methods that are often used when empirical data is scarce. This is a very hands-on class where students will apply the forecasting methods learned to real data.
 
April 18th
Financial Strategy for Corporations
An advanced course in corporate finance, focusing on the issues that firms face when they plan to raise external capital from financial markets. The focus is on the financing problems faced by mid-market to large firms and on capital raised from public markets. The forms of external finance vary from simple debt or equity to more complex securities that bundle with an element of risk management.
 
Market Forecasting
In this course, students will learn a number of market forecasting methods, each appropriate for different contexts. The majority of this course focuses on quantitative modeling techniques based on established statistical methods. We also cover non-statistical methods that are often used when empirical data is scarce. This is a very hands-on class where students will apply the forecasting methods learned to real data.

For more information please contact Loreal Lance at llance@rhsmith.umd.edu.