Data tells a story. What will yours be? Start a new chapter in your career with an online master’s degree in data analytics from Maryville University. Grow your skills in computer science, statistics, data mining, data warehousing, and visualization to become an in-demand professional capable of helping any organization make strategic decisions based on deep knowledge and understanding.Get Curriculum Details
Why Earn Your Online Master’s in Data Analytics?
If you have a mind for business and a knack for numbers, then an online master’s in data analytics may be for you. Data analytics professionals harness the power of big data to transform business intelligence into actionable insights that can help organizations create opportunities and competitive advantages. More and more, data analytics professionals are the go-to problem solvers for top management, providing the key information decision-makers need to optimize efficiency, reduce costs, predict trends, and increase profits.
Data analytics professionals are in high demand. The U.S. Bureau of Labor Statistics (BLS) predicts the employment of management analysts and operations research analysts, two of the most popular careers in data analytics, to grow by 11% and 25%, respectively, from 2019 to 2029.
What Can You Do with an Online Data Analytics Master’s Degree?
Earning your master’s in data analytics online can qualify you for a wide range of careers in which you can play a critical role in an organization’s success. Data analytics professionals’ primary job is to transform business intelligence into business insights that allow their organizations to:
- Identify new markets
- Improve the customer experience
- Optimize strategies and processes
- Competitively price products and services
- Forecast sales and market trends
Data analytics professionals who possess a master’s degree are often more likely to advance to senior-level positions with higher annual salaries. Based on salary information from PayScale, data analytics professionals with a master’s degree could earn some $15,000 more than those with a bachelor’s degree.
Top Careers in Data Analytics
Earn your online master’s degree in data analytics from Maryville, and you can start or prepare to advance your career as a:
What is the Median Data Analytics Salary?
Your online master’s in data analytics can qualify you to pursue careers with median annual salaries such as these:
Operations Research Analyst
Market Research Analyst
Big Data Engineer
*BLS, May 2020; **PayScale, August 2021
What Is the Job Outlook for Data Analytics Graduates?
Pursuing your online master’s in data analytics can position you for new opportunities in a world dominated by big data. Grand View Research predicts a compound annual growth rate (CAGR) of about 26% through 2028 for the analytics technology and solutions market, as well as global advanced analytics revenue of $75 billion in 2028. Other promising predictions, according to the International Data Corporation, include:
- Annual data created worldwide will skyrocket to 175 zettabytes (a billion terabytes) by 2025.
- Top industries investing in business data analytics include banking, discrete manufacturing, professional services, process manufacturing, and federal/central government.
- Industries showing the fastest data analytics investment growth are securities and investment services (15.3% CAGR) and retail (15.2% CAGR).
- Strong growth will enable the retail industry to move into the top five industries investing in data analytics in 2022.
Why Choose Maryville for Your Master’s in Data Analytics Online Program?
Our online master’s in data analytics program, which is part of the John E. Simon School of Business, prepares you for a career on the leading edge of data science. Led by an accomplished faculty of active professionals who teach using real-world examples pulled from up-to-the-minute business headlines, the online MS in Data Analytics provides an opportunity for both current practitioners and career changers to obtain graduate-level credentials with a top-quality online business degree.
Student-centered learning you can apply now.
Gain practical knowledge that can be used immediately in your workplace today.
Learn how to combine operational data with analytical tools.
Be able to present complex information in ways that nontechnical stakeholders can easily understand.
Become a valued contributor with the ability to deliver high-quality analytics on time, every time.
We’re distinguished by our dedication to your success
Insights from Our Faculty
Beth Cudney, program coordinator and associate professor of data analytics, has been teaching in higher education for more than 20 years. She also has industry experience at companies including Jacobs Vehicle Systems and Dana Corporation (Spicer Axle Division), and she is a Lean Six Sigma Master Black Belt.
We asked Beth to share her thoughts on the master’s in data analytics program. Here are her responses:
Many individuals are moving into the data analytics field without fully understanding the basics of data analytics, its practical applications, and the knowledge of what the data means. For example, you can create beautiful visualizations, but if you cannot properly interpret what the various statistical measures mean or understand why a specific analysis is more appropriate than other statistics, then incorrect conclusions are drawn, which can hurt businesses. While we are focusing on new trends, we are ensuring that the core foundations are not lost.
Data analytics use in organizations is growing. Organizations are ramping up business value by integrating data and analytics throughout the company, making it the responsibility of all departments and employees. The data analytics department is now leading training to get everyone up to speed. This points to the need for data analysts to have a strong foundation in statistics and communication.
In addition, we are focusing on how we can help organizations accelerate change with respect to data and analytics. Big data has been around for some time; therefore, we really have to focus on efficiently integrating diverse data sources. This means handling messy data from multiple sources that must be cleaned prior to integration while also focusing on developing agile data warehouses.
Always think about your audience. You will be presenting data and making recommendations to all levels of the organization, so you have to know who your audience is. You will need to effectively communicate your analysis and recommendations in a variety of contexts and modes.
Understand how your analysis is linked to the key performance indicators (KPIs) of your organization. This will drive your analysis and recommendations. Make sure you give yourself ample time to develop thoughtful recommendations based on grounded assumptions and analyses.
Know your data. Exploratory analysis is critical to understanding your data and the relationships within your data. You cannot jump straight to the analysis without properly evaluating your data first.
The courses are designed with a focus on hands-on application. Students learn the theory and then apply it directly to a real-world application. The courses are designed such that students can immediately apply what they learn to their jobs.
Data visualization. I really enjoy making data come to life by telling a story. That story tells you where you have been as an organization, which then points you in the direction of where you need to go. It is all about using data to continuously improve and grow your organization.
Master’s in Data Analytics Online Curriculum
As a student in Maryville’s data analytics master’s degree online program, you’ll gain in-depth knowledge and skills in key aspects of data analytics. Your studies will focus on looking for trends, identifying opportunities, making data-driven decisions, combining operational data with analytical tools, and presenting complex information.
Courses in this 100% online program include:
- Data Analytics. Study the proper use of data, programming languages, and how to draw insight from your discoveries.
- 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 effectively communicate with stakeholders and inform decision-making.
- Forecasting and Predictive Modeling. Delve into the field of predictive analytics, where you’ll learn how to use information technology tools and modeling methods to inform business strategy.
Master’s in Data Analytics Online: Admission Requirements
The following criteria are considered during the admission process for the Master of Science in Data Analytics:
- Bachelor’s degree from a regionally accredited institution
- 2.75 cumulative GPA required for full admission; though applicants with a cumulative undergraduate grade point average below a 2.75 can be considered for conditional acceptance
Learn more at our admissions page.
- Personal letter explaining qualifications for graduate work
- International students must have a minimum TOEFL score of 563
- No GMAT/GRE