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MSBA - Accounting Track

Why earn your MSBA in Accounting?

This degree is designed for accountants or accounting majors who want to become valued advisors to their organizations.

You will gain a greater understanding of the tools used for cleansing, transforming and modeling data into actionable information supporting decision-making for accounting-related functions.

Our dynamic curriculum continuously adapts to emerging technologies, empowering you to think critically and evolve as a leader.

Become an expert user of data management tools like these:

  • Tableau
  • Power BI
  • Power Query
  • Power Pivot
  • Alteryx
  • Python
  • SQL 

Program Details

  • 30 Credits
  • 2-Semesters
  • On Campus

Curriculum

You may also see the courses in the .

MACC 600 Orientation Workshop - 0 Credits

MSBA 602 Introduction to Business Analytics - 3 Credits

MSBA 604 Fundamental Tech for Business Analytics - 3 Credits

MSBA 606 Database Management and SQL - 3 Credits

MBUS 613 Quant Stats and Analysis - 3 Credits

MACC 611 Audit Analytics - 3 Credits

 

MSBA 626 Descriptive Analytics - 3 Credits

MSBA 646 Predictive Analytics - 3 Credits

MACC 664 Professional Ethics - 2 Credits

MBUS 670 Foundations of Project Management - 3 Credits

MSBA 660 Emerging Technologies - 1 Credit

Elective - Choose 1 

MTAX 604 C Corporation Taxation - 3 Credits

MTAX 605 Partnership Taxation - 3 Credits

MACC 660 Advanced Financial Accounting - 3 Credits

MACC 662 Accounting Information Systems - 3 Credits

 

A Minimum B+ grade is required in each course.

  • MBUS 560 Accounting Analysis (or ACCT 260 and 261),
  • BFIN 320 Principles of Finance
  • BMIS 235 Management Information Systems
  • ACCT 360 Intermediate Accounting I*
  • ACCT 361 Intermediate Accounting II*
  • ACCT 363 Cost Accounting*
  • ACCT 365 Federal Taxation I*
  • ACCT 464 Auditing*
 
  • Students recognize the benefits analytics can provide to decision makers throughout an organization's value chain and suggest alternatives for improvement.
  • Students understand the different forms of analytics (descriptive, predictive and prescriptive) and can explain the use of informative, descriptive, and predictive questions.
  • Students produce descriptive and analytical conclusions using Python, SQL, Tableau, Power BI and other current trending technologies.
  • Students identify the inputs (resources required) for successful team processing.
 

Contact:

Hannah Johanson, Admissions Specialist
Call or Text: (509) 313-7047
Email: johansonh@gonzaga.edu