everything.study
REAL EST 412

REAL ESTATE ARGUS MODELING

1 credit.

Introduction to real estate modeling using ARGUS. ARGUS will be used to build a real estate model for acquisition transactions for office and retail mall properties. Learn how to input assumptions, make decisions using reports, perform sensitivity analysis on model inputs and explain terminology used in Office and Retail real estate.

Prerequisites & course information

Requisites: REAL EST 410 , 710 , or concurrent enrollment Course Designation: Core GenEd - Mathematics & Quantitative Reasoning Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Fall 2026 Learning Outcomes: 1. Demonstrate key components required to model a real estate transaction including, program summary, sources and uses of funds, income statement, debt waterfall, and reporting. Audience: Both Grad & Undergrad 2. Demonstrate key calculations in ARGUS that are used in the real estate profession including effective gross income, net operating income, tenant improvements, present value, levered and unlevered returns and internal rate of return. Audience: Both Grad & Undergrad 3. Model acquisition transactions for office and mall. Audience: Both Grad & Undergrad 4. Perform management reporting and sensitivity analysis on present value and internal rate of return for various leasing scenarios. Audience: Graduate Learning Outcomes: 1. Demonstrate key components required to model a real estate transaction including, program summary, sources and uses of funds, income statement, debt waterfall, and reporting. Audience: Both Grad & Undergrad 2. Demonstrate key calculations in ARGUS that are used in the real estate profession including effective gross income, net operating income, tenant improvements, present value, levered and unlevered returns and internal rate of return. Audience: Both Grad & Undergrad 3. Model acquisition transactions for office and mall. Audience: Both Grad & Undergrad 4. Perform management reporting and sensitivity analysis on present value and internal rate of return for various leasing scenarios. Audience: Graduate

Sources