MBA with a 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.
- 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 & fees combined for the general MBA (30 credits) are $9,900 for for 2021-2022 (not including the cost of course materials such as textbooks.) Adding this concentration brings the total program to 39 credits, bringing the total to $12,870 for 2021-2022.
- DTSC 550: Introduction to statistical modeling*
- DTSC 600: Information visualization
- DTSC 650: Data analytics in R
- 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.
Total Credit Hours: 12
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 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 be exposed to the main two software in the industry: Qlik and Tableau. Prerequisite: DTSC 550: Introduction to Statistical Modeling
DTSC 650: Data Analytics in R (3 credits): Continuation of DTSC 550, with an emphasis on statistical techniques most used in modern data science. Will explore in greater depth linear and logistic regression, and continue to additional regression and classification techniques with a focus on application. Analyses will be completed in R. Prerequisite: DTSC 550: Introduction to Statistical Modeling
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.