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Harness the Power of Data

MS in Business Analytics

Bridge the Worlds of IT and Business in a Growing Field

Put your quantitative and analytical skills to good use as a sought-after business analyst—one of the fastest growing careers in the nation.

Offered in partnership between the St. Thomas Graduate Programs in Software in the School of Engineering and the Opus College of Business, the MS in Business Analytics program is specially designed for people who operate in both data analytics and business operations. Stand out to employers after gaining fundamental skills in statistics, modeling, data analysis, database management, software, business communication, and industry analytics.

Designed in partnership with experienced analytics leaders, our experiential learning model uses group projects, simulations, case studies and guest speakers to prepare you to solve actual business problems.

With an MS in Business Analytics, you’ll learn how to build a narrative and use data visualization to influence key business decisions. You’ll have the ability to work within a database and talk shop with IT, and then translate that technical knowledge to senior leadership. Put yourself in the heart of smarter decision making and better problem solving by harnessing the power of data.

22%
Increase in business data analyst jobs by 2020, according to the U.S. Bureau of Labor Statistics.
60%
Of IT executives plan to increase salaries for business intelligence and big data handling.
7K
New business analytics jobs created in the 7-county metro area over the next 3 years.

Program Overview

  • Format & Schedule
  • Admission Requirements
  • Elective Courses
  • Applied Learning
  • Career Impact
  • Format & Schedule

    With our flexible schedule and course load, you can set your own pace and tailor the MS in Business Analytics program to your individual situation and career goals. Complete this 30-credit degree in as little as 16 months or up to a maximum of five years.

    7 required courses (21 credits): Get a solid foundation of technical and quantitative knowledge in data science and analytics, and develop your data presentation and communication skills from the program’s core courses.

    3 elective courses (9 credits): Build additional analytics skills, develop valuable business context, or focus on a specialty by filling the rest of your program with elective courses of your choosing.

    Explore the Curriculum

    Admission Requirements

    • Bachelor's degree
    • Undergraduate GPA of 2.7
    • Application form and essays
    • One letter of recommendation
    • Analytics background
    • No entrance exam required
    View the Application Checklist

    Elective Courses

    Select three elective courses for a total of nine credits to complete your MS in Business Analytics degree program. Make yourself even more marketable to potential employers with the electives you choose. Expand your technical skills or broaden your knowledge to understand how analytics are applied in various business contexts and industries. Topics of specialized study include supply chain management, marketing analytics, data warehousing, health care analytics, Lean Six Sigma, and more.
    Explore the Curriculum

    Applied Learning

    Our applied learning approach in the MS in Business Analytics program is designed to help you succeed in the classroom, and in today’s evolving business analytics landscape. Through real-world applications, you will explore business concepts through group projects and practical exercises, staying up-to-date by working in programming language used in many leading companies, reading case studies, and engaging with guest speakers. You will also work hands-on with professors and fellow students to promote individual growth as a dynamic, creative problem-solver. This applied learning approach will equip you to:

    • Utilize data-driven decision making skills to influence key business decisions
    • Play a key role and act as the bridge between data analytics and business operations within your organization
    • Translate and provide technical knowledge to senior leadership
    • Network with fellow professionals in your field
    Explore Applied Learning Opportunities

    Career Impact

    According to the U.S. Bureau of Labor Statistics (BLS), the average salary for a data analyst is $79,990 per year at master's degree level. Growth is also expected to be strong—34% between 2014 and 2024—one of the strongest growth rates of all industries.
    See Career Impact Facts and Figures

    Format & Schedule

    With our flexible schedule and course load, you can set your own pace and tailor the MS in Business Analytics program to your individual situation and career goals. Complete this 30-credit degree in as little as 16 months or up to a maximum of five years.

    7 required courses (21 credits): Get a solid foundation of technical and quantitative knowledge in data science and analytics, and develop your data presentation and communication skills from the program’s core courses.

    3 elective courses (9 credits): Build additional analytics skills, develop valuable business context, or focus on a specialty by filling the rest of your program with elective courses of your choosing.

    See Career Impact Facts and Figures

    Admission Requirements

    • Bachelor's degree
    • Undergraduate GPA of 2.7
    • Application form and essays
    • One letter of recommendation
    • Analytics background
    • No entrance exam required
    See Career Impact Facts and Figures

    Elective Courses

    Select three elective courses for a total of nine credits to complete your MS in Business Analytics degree program. Make yourself even more marketable to potential employers with the electives you choose. Expand your technical skills or broaden your knowledge to understand how analytics are applied in various business contexts and industries. Topics of specialized study include supply chain management, marketing analytics, data warehousing, health care analytics, Lean Six Sigma, and more.
    See Career Impact Facts and Figures

    Applied Learning

    Our applied learning approach in the MS in Business Analytics program is designed to help you succeed in the classroom, and in today’s evolving business analytics landscape. Through real-world applications, you will explore business concepts through group projects and practical exercises, staying up-to-date by working in programming language used in many leading companies, reading case studies, and engaging with guest speakers. You will also work hands-on with professors and fellow students to promote individual growth as a dynamic, creative problem-solver. This applied learning approach will equip you to:

    • Utilize data-driven decision making skills to influence key business decisions
    • Play a key role and act as the bridge between data analytics and business operations within your organization
    • Translate and provide technical knowledge to senior leadership
    • Network with fellow professionals in your field
    See Career Impact Facts and Figures

    Career Impact

    According to the U.S. Bureau of Labor Statistics (BLS), the average salary for a data analyst is $79,990 per year at master's degree level. Growth is also expected to be strong—34% between 2014 and 2024—one of the strongest growth rates of all industries.
    See Career Impact Facts and Figures

    Events

    All Events
    Jared Moen
    Jared Moen portrait

    Telling the Story of Data

    Jared Moen uses data visualization and storytelling to be a stronger communicator at Wells Fargo.

    Featured Courses

    Statistical Methods For Decision Making

    Examine statistical and analytical methods including sampling concepts, regression analysis, hypothesis testing, forecasting, quality control, simulation and database management.

    Data Analytics And Visualization

    Get an introduction to concepts and techniques used in the field of data analytics and visualization. Communicate insights discovered from the data using data visualization. Learn about predictive analytics, pattern discovery and best practices for creating effective data visualizations to develop proficiency in using analytics tools.

    Spreadsheet Modeling and Visualization

    Learn to analyze and solve management problems using spreadsheet-based methods aimed to clarify objectives, develop alternatives, address trade-offs and conduct a defensible quantitative analysis. Topics include spreadsheet modeling, linear programming, transportation modeling, decision analysis, project management and simulation.
    View Curriculum

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    Get in Touch

    St. Thomas Opus College of Business is an incredible place to learn, meet inspiring peers and mentors, and build a strong career path. Don’t just take our word for it—experience St. Thomas firsthand. Visit a class, attend an info session, or chat with the admissions team.