Online Pre-Courses

All matriculated MMH students will be registered for six online pre-courses available through the eCornell system.  Successful completion of these courses is required to begin the MMH program. The online pre-courses prepare students for the rigor of the required Semester 1a and 1b block courses.  The pre-course curriculum is as follows:

Financial Management

  • HAME 507 MMH: Mastering the Time-Value of Money
  • HAME 508 MMH: Making Capital Investment Decisions

Financial Statements

  • HAME 513 MMH: Understanding Financial Statements
  • HAME 514 MMH: Using Ratio Analysis to Evaluate Financial Performance

Statistical Decision Making

  • HAME 515 MMH: Describing Data
  • HAME 516 MMH: Statistical Decision Making for Hospitality Management

Financial Management

  • Mastering the Time-Value of Money
  • Making Capital Investment Decisions

Using timelines and cash-flow calculations these two modules will teach you to project cash flow, calculate payments, establish the value of securities and investments, and determine when it is more cost-effective to lease or to buy. You will learn six capital-budgeting rules for making sound project-investment decisions, examine how these six rules differ from one another, and learn which rules are most appropriate when.

Financial Statements

  • Understanding Financial Statements
  • Using Ratio Analysis to Evaluate Financial Performance

These two modules will teach you how to read and interpret income statements, cash-flow statements, and balance sheets and thus gain a solid foundation for more advanced analysis of a firm's financial performance. You also will learn to use ratio-analysis instruments. The course also addresses how financial-health information can be used as a foundation on which to design and implement initiatives for increased productivity and profitability.

Statistical Decision Making

  • Describing Data
  • Statistical Decision Making for Hospitality Management

Good managers understand how to use numbers to help solve managerial problems. These hands-on modules cover statistical concepts including descriptive statistics, probability, sampling, and correlation and regression.