A group of professionals collaborating around a laptop.

Online MBA-Data Analytics Track

Prepare yourself with new in-demand skills necessary to compete in the global marketplace. In the age of information, the use of business analytics has become increasingly more important in both the academic and business communities.

Request Information

Admission Criteria

Application Materials

Interested applicants must submit:

  • Completed Application
  • Official Undergraduate Transcripts
    *Transcripts must be issued directly to Walsh University
  • Updated Resume

Degree Requirement

Applicants must hold a Bachelor’s degree from an accredited college or university. We welcome candidates from all academic backgrounds—not just Business majors.

To ensure a strong foundation for success, applicants without a business degree or background will complete a self-paced, 1-credit hour course that covers essential business principles.

GPA

Applicants with an undergraduate GPA of 2.75 or higher will receive automatic acceptance to the MBA program.

Candidates with a GPA between 2.0 and 2.74 still have the opportunity to demonstrate their academic readiness through the Casper Assessment , an online situational judgment test that takes 65–85 minutes to complete.

Our holistic approach to admission ensures that motivated applicants have the ability to succeed.

More information about Walsh University’s Casper testing can be found here.

Fast Facts

  • No application fee
  • 100% online or hybrid format available
  • 36 credit hours
  • Finish in as few as 12 Months
  • Six start dates per year

Have Questions? Contact Bridget England for more information at bengland@walsh.edu .

Online MBA - Data Analytics Track - Core Curriculum

This course focuses on various information and communications technologies. Students will examine how information systems are used to solve problems, manage data, and make better business decisions. Topics include management information systems, databases, ERP systems, cloud computing, and information privacy.

In this course, students examine quality management as it provides the means for the organization to define its culture and support the constant attainment of stakeholder satisfaction through an integrated system of tools, techniques and training. Concepts and practices to effectively manage, measure and improve the organizational performance are also examined. Topics include a comparative analysis of influential quality theorists such as Deming, Crosby, Taguchi and others, application of various continuous improvement techniques, definition and development of individual, group and organization-level performance indicators and performance improvement systems.

This course provides review of business analytics and advanced business intelligence concepts. The emphasis is on conceptual understanding as well as conducting statistical analyses using available application programs utilized within the business enterprise. Students gain an understanding of the key methods of predictive analytics and analytics-driven solutions to facilitate decisions and actions. This course will practice these methods with hands-on analyses of real datasets. Topics include an introduction to business analytics, uses of statistical data, statistical and quantitative analysis, exploratory and predictive modeling, and analytics driven solutions.

This course discusses business analytics tools and their application to management problems. Topics discussed include: types of business analytics, understanding the value of big data, business intelligence tools, the nature of analytical competition, analytics and business performance, the architecture of analytics and big data, and applied analytics and strategies. Real world company examples and strategies will be discussed.

This course presents the principles of database management. The course is designed to prepare business leaders to understand how data is stored, retrieved, and analyzed for effective decision making. Topics include database design, schemas, database manipulation utilizing SQL, database security, data integrity, and privacy issues.

Online MBA - Data Analytics Track - Careers & Outcomes

  • 26% Growth Market (2018-2028)
  • $95,942 Average Base Salary for Data Scientist
  • Job titles: Data Scientist, Data Analyst

Source: Payscale, US BLS

Student Testimonials

"I feel Walsh has prepared me for my career by making me take a step back and really think about things and organization as the whole, rather than just the pieces and parts. Here, everyone is engaged and wants you to be successful." 

Jon Bishop, Chief Strategy Officer at Nymbl Systems

Request More Information