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Program Overview, Curriculum and Courses

Master of Science In Business Analytics - Chandler 

 

Contact Us

Program Specific Questions
Michelle Piontek, Program Manager
mhanoka@arizona.edu
 
Adam Molnar, Academic Director
adammolnar@arizona.edu

 

Breanna Borunda

Graduate Admissions Coach

breannaborunda@arizona.edu

 

Matthew Davila,
Graduate Admissions Coach
mdavila11@arizona.edu 
office: (520) 621-2722
text: (520) 477-0490

Meet the future of data and decision-making.

Discover the next frontier of business analytics. With a curriculum focused on real-world applications, our Master of Science in Business Analytics program in Chandler prepares you to make data-driven decisions that move businesses and entire industries forward. Full-time students can complete the program in as little as 10 months, while part-time students can complete it in 16 to 33 months based on their chosen pace. You will build analytics expertise and strategic business skills so you can harness the power of data to change the business landscape as we know it.”

What You’ll Learn

  • Structured and unstructured data management
  • Statistics and econometrics for analytics
  • Descriptive, predictive, and prescriptive analytics
  • Machine learning and AI techniques
  • Leveraging analytic skills in different business contexts
  • How to apply these skills to real-world problems

The Curriculum

Taught by world-class faculty and built on the foundation of our top-five MIS program, the Master’s in Business Analytics program not only helps you build in-demand analytics skills but also introduces you to the core principles of business and helps turn you into an effective decision-maker on a global economic scale.

We developed the curriculum in collaboration with industry partners to ensure you leave the program with the necessary skills to succeed in any role working with data. You’ll start by diving deep into three key areas: data management, statistics, and analytical methods. Then, you’ll have the opportunity to apply this knowledge in your foundational business courses, required selectives, and electives in accounting, economics, finance, management, management information systems, and marketing. Throughout the program, students will gain hands-on experience with the most widely used business analytics technologies, including advanced Excel for data cleaning, management, and analytics, SQL, Python/R, Tableau, and Power BI, along with additional tools and platforms based on their chosen electives and career path. With AI integrated throughout the curriculum, students will also learn to leverage artificial intelligence to enhance their analytical capabilities and drive smarter business decisions.

The Master of Science in Business Analytics coursework consists of core courses outlined below. To earn the degree, students must complete at least 33 units of Business Analytics courses, earn a passing grade (C or above) in each course, and have at least a 3.0 cumulative GPA.

An overview of the curriculum is outlined below. A detailed description for each course can be found in the U of A course catalog

90+%
job placement at 6 months post-graduation

#14

public graduate Business Analytics program
U.S. News & World Report 2024

Overview

  • BNAN 505 Strategic Communication: Engaging Stakeholders through Storytelling (3)
  • BNAN 525: Statistical Foundations of Business Analytics (2)
  • BNAN 530: Foundations of Python for Analytics (2)
  • BNAN 532: Database Foundations (2)
  • BNAN 565 Regression and Analytical Models (3)
  • MIS 545: Data Mining for Business Intelligence (3)
  • BNAD 597A: Business Consulting (3)

  • ACCT 542: Introduction to Financial and Managerial Accounting (2)
  • FIN 510A: Financial Management (2)
  • MKTG 510: Market-Based Management (2)
  • FIN 510B: Financial Management (2)
  • OSCM 560: Operations Management (2)
  • ECON 550: Economics for Managers (2)

  • MIS 561: Data Visualization (3)

  • MIS 548: Deep Learning (3)
  • OSCM 571: Optimization for Business (3)
  • ECON 515: Econometrics and Machine Learning (3)

  • MIS 548 Big Data Technologies
  • BNAN 5XX Data Handling in Analytics and Interpretative Decision Making
  • BNAN 572 Enterprise Artificial Intelligence
  • MIS 544 Healthcare Analytics (online)
  • FIN 521 Investment Analysis (online)
  • MIS 531 Enterprise Data Management (online)

Others available online and in-person based on student interest/demand

Additional 500-level courses offered by the various Eller departments pending the approval of the Academic Director

*Note: Students who enter with a business background can potentially opt out of the required business foundation courses with permission from the Academic Director. Those with a related graduate degree may be eligible to transfer in up to 6 units of their past graduate work to count towards the completion of the MSBA degree. Contact the Academic Director to learn more.

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