Apr 20, 2024  
2022 - 2023 Catalog 
    
2022 - 2023 Catalog [ARCHIVED CATALOG]

Add to Portfolio (opens a new window)

ACC 233 - Managerial Cost Accounting

Credits: 3
Instructional Contact Hours: 3

Studies cost management and control systems including costs analysis and cost behavior concepts. Includes preparing accounting information that supports management decision-making, and integrates data analysis techniques with management decision-making.

Prerequisite(s): ACC 212  and ACC 219  with a C (2.0) minimum grade.
Corequisite(s): None
Lecture Hours: 45 Lab Hours: 0
Meets MTA Requirement: None
Pass/NoCredit: Yes

Outcomes and Objectives  

  1. Describe accounting information that supports management decision-making.
    1. Explain cost accounting concepts and procedures.
    2. Apply product costing methods and results to appropriate business analysis and decisions.
    3. Describe cost behavior concepts in the larger business decision making context.
  2. Explain cost analysis concepts.
    1. Perform Cost-Volume-Profit Analysis.
    2. Describe cost analysis for decision-making.
  3. Describe cost estimation.
    1. Explain the importance of cost estimation and its uses.
    2. Perform cost estimation techniques for use in planning and control.
    3. Explain the use and importance of budgets in the business planning and performance process.
  4. Explain cost management systems.
    1. Demonstrate an understanding of job costing.
    2. Demonstrate an understanding of process costing.
    3. Demonstrate an understanding of activity-based costing.
    4. Demonstrate an understanding of service department costing.
    5. Calculate product costs using various costing methods.
  5. Describe Management Control Systems.
    1. Explain the importance of management control systems as applied in various business types.
    2. Demonstrate procedures used for cost controls.
    3. Demonstrate planning and budgeting concepts and processes.
    4. Describe business unit performance measurement concepts and techniques.
    5. Explain variance analysis concepts and techniques.
  6. Integrate data analytics with management decision making procedures.
    1. Use data analysis technology to perform cost and managerial accounting procedures.
    2. Interpret data analytics results to support the work of management.



Add to Portfolio (opens a new window)