An MSBDA designed by experts. For you. Successful businesses rely on analytics to look for trends, make decisions, and identify opportunities. That’s why Maryville University has developed a degree that aims to teach you how to combine operational data with analytical tools to present complex and competitive information.
100% online coursework
No GRE or GMAT required
9 courses plus capstone
6 start times per year
Why this program?
Maryville University offers the online master’s in data analytics through the John E. Simon School of Business. Built for students to gain practical knowledge that can be applied immediately in the workplace, this program is led by an accomplished faculty of active professionals who use real-world examples fueled by current business news.
Student-centered learning you can apply now
Gain practical knowledge that can be used immediately in your workplace
Learn how to combine operational data with analytical tools
Be able to present complex and competitive information
Become a valued contributor with the ability to deliver timely, high-quality analytics
Maryville’s master’s in business data analytics online consists of courses that touch on the following concepts:
Data analytics. Study the proper use of data, programming languages, and how to draw insight from what you discover.
Database principles. Become familiar with database tools and architecture and relevant security issues.
Data visualization. Learn to turn data into charts, graphs, maps, and more to affect and inform business decision-making.
Forecasting and predictive modeling. Delve into the field of predictive analytics, where you’ll learn how to use forecasting and predictive modeling.
You can complete your online MS in Business Data Analytics in just 30 credit hours. Start at the right time for you by choosing from six admission points. Explore the curriculum below to see how you can complete your MSBDA in as little as one year of full-time or two years of part-time study.
This course serves as an introduction to programming and develops foundational programming skills. The course covers basic principles and practical issues while effectively integrating data analytics topics using Python and R.
BDAT 605 – Database Principles (3 credits)
This course examines the design, development, and management of relational databases and the integration of these databases with applications across the enterprise. Topics include database tools, basic Structured Query Language, design trade-offs, middleware, database server architectures, web-enabled technologies, security issues, and emerging database technologies.
BDAT 610 – Introduction to Business Data Analytics (3 credits)
This course serves as an introduction to programming and develops foundational programming skills. It covers basic principles and practical issues while effectively integrating data analytics topics using Python and SQL.
This course is a follow-up to BDAT-600 and further discusses data analytics techniques as they relate to business decision-making situations. It uses the R programming language.
BDAT 620 – Data Warehousing (3 credits)
This course focuses on the technology of data warehousing with a specific application toward business intelligence. The course will cover requirements gathering, architecture, and design for data warehousing. Extracting, transforming, and loading strategies to support business intelligence applications will also be covered.
This course examines data mining techniques such as classification, regression, cluster analysis, and recommendation systems. Analysis of both structured and unstructured data will be discussed including coverage of NoSQL.
BDAT 630 – Data Visualization (3 credits)
This course discusses techniques for developing effective dashboards to facilitate business decision making. Students will prototype several interactive visualizations based on existing datasets using three industry-leading technologies (Power BI, R Shiny, Bokeh with Python).
BDAT 640 – Forecasting and Predictive Modeling (3 credits)
This covers the concept of predictive analytics, which combines business strategy, information technology, and modeling methods.
BDAT 635 – Advanced Topics in Data Analytics (3 credits)
This course covers advanced timely topics as they related to the field of data analytics.
BDAT 650 – Business Data Analytics Capstone (3 credits)
This is the final course of the business data analytics program. It provides students an opportunity to demonstrate the skills learned in the program in a final capstone project experience.
*To ensure the best possible educational experience for students, Maryville may update the curriculum to reflect emerging and changing employer and industry trends.
The following criteria are considered during the admission process for the Master of Science in Business Data Analytics:
Bachelor’s degree from a regionally accredited institution
3.0 cumulative GPA required for full admission
Applicants to the program with a cumulative undergraduate grade point average below a 3.0 can be considered for conditional acceptance
Personal statement explaining qualifications for graduate work
International students must have a minimum TOEFL score of 563
No Graduate Management Admission Test (GMAT) or letters of recommendation required
Tuition and fees
Maryville University was named as one of the best values in private college education by Kiplinger’s Personal Finance.
A college degree is an investment in yourself and your future. That’s why Maryville strives to offer value and give you the best possible return on your investment.
Tuition rates vary depending on the type of degree you are interested in pursuing. The costs below reflect tuition rates for 2020-21 and are subject to change.
MS in Business Data Analytics
30 credits, $765 per credit
Online program fees
Each semester, your billing statement will include a per-semester student fee called OneFee. This fee covers your access to all services and resources provided by the university and made available to you as a Maryville University student.
Please note: Some programs do have additional fees. Your enrollment advisor can help answer any questions you may have regarding program fees.
Online Master’s and Doctorate Programs OneFee: $675 per semester
About Maryville University
Innovation, service, and bravery are woven into the fabric of this institution. Maryville University has been challenging the norms of higher education for nearly 150 years. When the status quo doesn’t make sense, this university has the courage to change it.
Today, Maryville University is a nationally ranked private college recognized for comprehensive and innovative education focused on student learning, outcomes, and success — both online and on campus.
Accreditation and ranking
Maryville University is regionally accredited by the Higher Learning Commission
Ranked by Forbes among “America’s Top Colleges” for 2019
Named a 2019-2020 Military Friendly® School
Named an “Apple Distinguished School” for 2018-2021
Listed among the “Best College Values 2019” by Kiplinger’s Personal Finance
Ranked a “Best National University” for 2020 by U.S. News & World Report
Ranked among Money’s “Best Colleges” 2019
Maryville faculty members are a large part of what makes the experience different, and the biggest reason students are so successful. No matter which Maryville program you choose, you’ll have the opportunity to learn from a renowned group of industry leaders and subject matter experts with both real-world experience and a passion for helping you excel.
Maryville faculty are professionals and leaders in their fields who bring their experiences and knowledge into the classroom, but what makes them truly unique is that they’re about teaching first. They are invested in helping you excel in the classroom, in your career, and beyond.