Maryville University Master of Science Data Analytics | OnlineMaryville University Master of Science Data Analytics | OnlineMaryville University Master of Science Data Analytics | Online

We are a tech-forward and future-focused university that has been disrupting higher education for over 150 years. With our 100% online Master of Science in Data Analytics, you’ll learn to use your knowledge of operational data, analytical tools, and industry programming languages to present data-driven insights.We are a tech-forward and future-focused university that has been disrupting higher education for over 150 years. With our 100% online Master of Science in Data Analytics, you’ll learn to use your knowledge of operational data, analytical tools, and industry programming languages to present data-driven insights.We are a tech-forward and future-focused university that has been disrupting higher education for over 150 years. With our 100% online Master of Science in Data Analytics, you’ll learn to use your knowledge of operational data, analytical tools, and industry programming languages to present data-driven insights.

  • Graduate in as few as 12 months – Full-time students can complete the program in as few as 12 months.
  • Experienced Faculty – Learn from accomplished faculty who teach using real-world examples from today’s business headlines.
  • 100% Online – Earn your Master’s in Data Analytics without interrupting your day-to-day responsibilities.

Earn your Master of Science in Data Analytics online

Become an expert in data analysis

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 modeling, business intelligence, dashboards and visualization to become an in-demand professional capable of helping organizations make strategic decisions based on deep knowledge and understanding.

Top career skills you can develop:

  • SQL, Python, R
  • Data collection
  • Dashboard
  • Business intelligence
  • Analytics
  • Data modeling

View our program guide for more information.

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Develop critical, in-demand skills in leading technologies like R, Python, Power BI and more

No GMAT, GRE or application fee

Nine courses, plus a capstone, for 30 credit hours total

Complete 100% online and choose from 6 start times per year

Why earn your online master’s in data analytics?

Data analytics professionals harness the power of big data, data collection and data modeling to transform business intelligence into actionable insights. Maryville’s online master’s in data analytics equips you to collect, store, analyze, interpret and visualize data to solve real-world challenges across private, public and nonprofit organizations.

Data analytics professionals are in high demand. The U.S. Bureau of Labor Statistics (BLS) predicts that the employment of management analysts will grow by 10%1 while the employment of operations research analysts will grow by 23%2 from 2022 to 2032 — much faster than the average.

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What can you do with an online data analytics master’s degree?

Earning your master’s in data analytics online prepares you to create data-driven strategies that drive success for your organization. You’ll explore leading technologies like R, Python and Power BI and build proficiency in computer science, statistics, data mining, data modeling, business intelligence, dashboards and visualization, priming you to:

  • Identify new markets
  • Improve the customer experience
  • Optimize business intelligence strategies and processes
  • Competitively price products and services
  • Forecast sales and market trends

Gain the skills employers actively seek, including a firm foundation in machine learning and structured query language.

Top Careers in Data Analytics

Earn your online master’s degree in data analytics from Maryville, and you can begin or prepare to advance your career as a:

  • Big data engineer
  • Data analyst
  • Digital marketer
  • Financial analyst
  • Logistician
  • Management analyst
  • Marketing analyst
  • Market research analyst
  • Operations research analyst
  • Quantitative analyst

In settings such as:

  • Business and finance
  • Energy
  • Government and defense
  • Healthcare
  • Manufacturing
  • Marketing
  • Travel and transportation

What is the median salary for professionals with a master of science in data analytics?

Your online master’s in data analytics can qualify you to pursue careers with median annual salaries such as these:

Operations Research Analyst3

$83,640

Financial Analyst4

$99,890

Market Research Analyst5

$74,680

Management Analyst6

$99,410

Why choose Maryville for your master’s in data analytics online program?

The online master’s in data analytics program is offered by the John E. Simon School of Business, which is accredited by the Association to Advance Collegiate Schools of Business (AACSB). Throughout nine courses and a capstone, you’ll learn to use your knowledge of operational data, analytical tools and industry programming languages to present data-driven insights.

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 who can deliver high-quality analytics on time, every time.

Why Maryville?

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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’re focusing on new trends, we’re ensuring the core foundations aren’t 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’re 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’ll be presenting data and making recommendations to all levels of the organization, so you have to know who your audience is. You’ll 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’s 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 (SQL, Python, R) and how to draw insight from your discoveries.
  • Database Principles. Become familiar with data collection, database tools and architecture and relevant security issues.
  • Data Visualization. Learn to turn data into charts, graphs, and maps, and to communicate more effectively with stakeholders to 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.

For course details in the Master of Science in Data Analytics online program, please visit our curriculum page.

Master’s in data analytics online: admission requirements

To be eligible for admission into the Master of Science in Data Analytics, you’ll need:

  • A bachelor’s degree from a regionally accredited institution
  • A minimum 2.5 cumulative GPA. We’ll consider applications with a lower GPA for conditional admission.

You’ll need to submit the online application, official transcripts and a personal statement explaining your qualifications for graduate work. No application fee, GMAT/GRE scores or letters of recommendation are required to apply. 

International applicants may be required to submit English proficiency scores that meet a certain threshold.

Learn more at our admissions page.

Frequently Asked Questions

  • Completing your online master’s in data analytics can qualify you for a wide range of careers in which you would play a critical role in an organization’s success.

    Popular careers for Maryville data analytics graduates include:

    • Big data engineer
    • Digital marketer
    • Logistician
    • Market research analyst
    • Operations research analyst
    • Quantitative analyst

  • Our online master’s degree in data analytics requires 30 graduate credit hours and can be completed in as few as 12 months. Students with eligible transfer credits may be able to complete it sooner.

  • Data analytics professionals are in high demand. For instance, the U.S. Bureau of Labor Statistics projects the employment of management analysts and operations research analysts will grow by 10%7 and 23%,8 respectively (2022-2032).

  • A data analyst focuses on identifying data trends and curating meaningful insights from their findings. A data scientist primarily collects data, with a focus on programming machines and optimizing systems.

Apply to the online master’s degree in data analytics program at Maryville University

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Be Brave

Bring us your ambition and we’ll guide you along a personalized path to a quality education that’s designed to change your life.

  1. Management Analysts: Occupational Outlook Handbook. (2024). U.S. Bureau of Labor Statistics. Retrieved May 16, 2024. ↩︎
  2. Operations Research Analysts: Occupational Outlook Handbook. (2024). U.S. Bureau of Labor Statistics. Retrieved May 16, 2024. ↩︎
  3. Operations Research Analysts: Occupational Outlook Handbook. (2024). U.S. Bureau of Labor Statistics. Retrieved May 16, 2024. ↩︎
  4. Financial Analysts: Occupational Outlook Handbook. (2024). U.S. Bureau of Labor Statistics. Retrieved May 16, 2024. ↩︎
  5. Market Research Analysts: Occupational Outlook Handbook. (2024). U.S. Bureau of Labor Statistics. Retrieved May 16, 2024. ↩︎
  6. Management Analysts: Occupational Outlook Handbook. (2024). U.S. Bureau of Labor Statistics. Retrieved May 16, 2024. ↩︎
  7. Management Analysts: Occupational Outlook Handbook. (2024). U.S. Bureau of Labor Statistics. Retrieved May 28, 2024.
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  8. Operations Research Analysts: Occupational Outlook Handbook. (2024). U.S. Bureau of Labor Statistics. Retrieved May 28, 2024. ↩︎