HOST 210 - Budgeting and Revenue Management

5 Credits

This course is analytical by design. Learners completing the course are equipped with the quantitative skills necessary for financial decision-making as managers. The course delves into budgeting techniques and revenue optimization strategies including yield management. Students use spreadsheet tools (e.g., Excel, Sheets, Numbers) to complete assignments that require formulas and data analysis stemming from case studies. By the end of the course, students will have an understanding of how to craft budgets, forecast revenues, and manage assets to drive profitability and growth.

Fees

Quarters Typically Offered
Winter Day, Online
Designed to Serve Students interested in entrepreneurship, business, management, and finance.
Active Date 20240401T16:20:54

Grading Basis Decimal Grade
Class Limit 22
Shared Learning Environment Yes
Contact Hours: Lecture 55
Total Contact Hours 55
Degree Distributions:
ProfTech Course Yes
Restricted Elective Yes
ProfTech Related Instruction

Computation

Course Outline
Students completing this course will:

Apply best practices in budgeting (i.e., ethical, standardized)
Leverage analytic software tools
Construct budget models
Make data-based decisions
Apply yield management strategies

Student Learning Outcomes
Apply the principles of Generally Accepted Accounting Principles (GAAP) and the Uniform System of Accounts for the Lodging Industry (USALI) to develop accurate and ethical financial reports.

Utilize analytical tools (e.g., Excel, Sheets, Numbers) for effective budgeting and financial forecasting.

Construct budget models reflecting financial operations including revenue streams and cost structures.

Analyze financial data to make informed decisions regarding management and investments.

Demonstrate proficiency in yield management strategies to optimize revenue across various market conditions and demand patterns.

Evaluate case studies to identify best practices in revenue management and apply quantitative methods for problem-solving.

Synthesize computation skills with software proficiency to implement effective pricing strategies and performance evaluations.