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Master's in Business Analytics Program Overview, Curriculum and Courses

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’s in Business Analytics program prepares you to make data-driven decisions that move businesses and entire industries forward. In just 10-16 months, 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.

90+%
job placement at 6 months post-graduation

10-16
months of immersive learning

5
dual-degree options: MBA, MSA, MSF, MS MIS, MSM

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 — including those from our top-five ranked MIS program — the MS in Business Analytics goes beyond technical skill-building. You'll develop in-demand analytics competencies alongside core business principles and the communication skills needed to translate data insights for any audience. Our curriculum is continuously updated in collaboration with industry partners to ensure you graduate ready to thrive in data-driven roles.

Degree Requirements To earn the degree, students must complete a minimum of 33 units, earn a passing grade (C or above) in each course, and maintain at least a 3.0 cumulative GPA. Students with relevant post-baccalaureate coursework — including completed graduate degrees — may be eligible to transfer up to 6 units of credit. Contact the Academic Director to learn more.

Background Courses No prior business coursework or programming experience is required. Most students begin with online background courses covering statistics, Python programming, and databases including SQL. Students who already have substantial knowledge in these areas may substitute background courses with electives.

Business Foundations All students complete a selective set of business courses tailored to their experience level. Those early in their careers or without a business degree will take foundational courses spanning accounting, economics, finance, marketing, and operations research. Students with a business degree or significant work experience can move directly into applied courses such as strategy implementation, project management, and financial modeling.

Analytics & Communication Core At the heart of the program is a dual focus on analytical modeling and communication. You'll work with regression models, quantitative methods, and data mining using Python, R, SQL, and AI tools. Distinctively, the program places equal emphasis on communicating results — through visualization platforms like Tableau and Power BI, and a dedicated course in strategic analytical storytelling. You'll put both skill sets to work in a capstone industry consulting project or working practicum.

  • BNAN 562: Applied Business Statistics
  • BNAN 530: Python for Business Analytics
  • BNAN 532: Database Foundations

  • ACCT 540: Introduction to Financial Accounting
  • ECON 550: Economics for Managers
  • FIN 510A and 510B: Financial Management
  • MKTG 500: Marketing Management OR MKTG 510: Market-Based Management
  • OSCM 560: Operations Management
  • BNAN 596: Data and Strategy Implementation
  • FIN 521: Investment Analysis
  • MIS 578: Project Management
  • MKTG 572: Marketing Research for Managers

    Other Eller graduate courses offered on applied analytics

  • BNAN 565: Regression and Analytics Models
  • MIS 545: Data Mining for Business Intelligence
  • MIS 561: Data Visualization
  • BNAN 505: Strategic Communication–Engaging Stakeholders through Storytelling
  • BNAD 597A: Business Consulting OR BNAN 594: Practicum

  • BNAN 570: Generative AI for Market Insight and Strategies
  • BNAN 572: Enterprise Artificial Intelligence for Business Strategies
  • MIS 531: Enterprise Data Mining
  • MIS 544: Healthcare Analytics

Quantitative elective required, from options including:

  • ECON 515 Econometrics and Machine Learning
  • MIS 548 Introduction to Deep Learning
  • OSCM 571 Optimization and Decision Support Modeling for Business

Other Eller graduate-level courses with analytical or quantitative components

Dual Degrees

Accelerate your Business Analytics career with a dual degree. Earn your dual degree in just one or two more semesters and gain the expertise you need to succeed in today's competitive job market. Choose from programs in Business, Finance, Marketing, MIS, or Accounting to build a strong foundation for your future. With a dual degree, 12 to 15 units of courses count in both programs, keeping you in line to complete both programs within four semesters. To earn a dual degree, students must apply to and be accepted into both programs. Contact a Graduate Admissions Coach for more information.

  • MSBA/Master of Business Administration (MBA)
    Earn an MBA as well as a Master of Science in Business Analytics to provide a wide view of industry as well as a focus on analytical models.
  • MSBA/Master of Science in Accounting (MSA)
    Students can pursue a career at the intersection of accounting and business analytics, using two skill sets that are increasingly in demand together, by pursuing a dual Master of Science in Accounting and in Business Analytics.
  • MSBA/Master of Science in Finance (MSF)
    Go far in a career in finance and analytics, with mastery in all the critical areas of finance, data management, statistics and analytic methods.
  • MSBA/Master of Science in Management Information Systems (MSMIS)
    Earn an MBA as well as a Master of Science in Management Information Systems to blend computer systems, artificial intelligence and other models, analytical knowledge, and business communication.
  • MSBA/Master of Science in Marketing (MSM)
    Earn a dual Master’s in Business Analytics as well as Marketing and climb to the forefront of marketing and analytics.