MBA with Business Analytics Concentration

Equip yourself with the data science and analytical skills necessary for managing organizations and teams in today’s data-driven economy. Eastern University’s Business Analytics Concentration is an optional concentration for students enrolled in the College of Business and Leadership’s MBA in Organizational Management. Created in partnership with Eastern’s renowned Data Science program, these classes can also be applied to a second Master’s in Data Science if desired.

Concentration Details

  • Location: Online
  • Delivery: Self-paced within 7-week online courses
  • Length: This concentration requires 4 classes (12 credits) on top of the MBA Core Curriculum. However, one of the concentrations classes fulfills a core curriculum requirement, which means you're really only taking 3 additional classes (9 credits).
  • Cost: 
    • Total tuition & program fees combined for the general MBA (30 credits) are $9,900 for 2023-2024 
    • Adding this concentration brings the total program to 39 credits, bringing the total to $12,870 for 2022-2023.
    • Note: The total numbers above do not include the cost of course materials such as textbooks.
    • Students with advanced standing can count the concentration toward their elective requirements and will graduate with a total of 30 credits for $9,900.

Concentration Curriculum

The Business Analytics Concentration consists of the 4 classes below (12 credits) in addition to the MBA Core Curriculum.

  • DTSC 550: Introduction to statistical modeling*
  • DTSC 560 - Data Science for Business
  • DTSC 600: Information visualization
  • DTSC 660: Data and Database Management with SQL

*This course covers the MBA in Organizational Management requirement for BUSA 575, so students do not need to take both. 

View the full curriculum for the MBA on the MBA in Organizational Management page.

Course Descriptions:

DTSC 550: Introduction to Statistical Modeling (3 credits): Introduction to foundational concepts, theories, and techniques of statistical analysis for data science.  Students will begin with descriptive statistics and probability, and advance through multiple and logistic regression.  Students will also conduct analyses in R.  This course is approachable for students with little statistical background and prepares them for DTSC 650: Data Analytics in R.

DTSC 560: Data Science for Business (3 credits): Businesses have come to increasingly rely on data in all aspects of operation. This course explores the various ways data science skills can be applied to business scenarios. Topics include how to identify business decision problems and formulate research questions, how to use analytical techniques in spreadsheets and R to address these issues, and how these tools can inform decision making.

DTSC 600: Information Visualization (3 credits): This course is designed to teach students the best practices in Data Visualization, the key trends in the industry, and how to become great storytellers with data. Students taking this class will learn the importance of using actionable dashboards that enable their organizations to make data-driven decisions. For this class students will use Tableau, one of the most used visual analytics platforms in the industry. 

DTSC 660: Data and Database Management with SQL (3 credits): This course considers the ways data can be organized, cleaned and managed within and between disparate data sets. It also covers database design and the use of databases in data science applications with an emphasis on SQL.  Additional topics include version control and Git.