MS in Data Analytics

Unlock the Power of Data Analytics

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Locations Offered
In Person in
Webster Groves, Missouri
3-4 Years
Time to Completion
Cost Per Credit Hour
Credit Hours Required

Become a strategic problem solver

With unprecedented access to vast amounts of data, organizations need analysts skilled in translating that data into well-informed strategic decisions. Meet these challenges with your master’s in Data Analytics degree from Webster University.

Benefit from a comprehensive program that combines business concepts with cutting-edge technologies and methodologies to resolve complex issues. Webster’s Master of Science in Data Analytics equips you with a versatile skill set you can apply to any area of business intelligence. In as soon as three to four years, you will be well prepared to advance your career upon graduation.

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Why Webster for your master’s in Data Analytics?

Launch or advance your career

A master's in Data Analytics will give you the knowledge and skill set to succeed in a data analytics career. This program is ideal for:

Support today’s businesses

Develop highly sought-after skills, like data warehousing, advanced visualization, predictive analysis and forecasting to prepare for a variety of business settings. You’ll graduate highly marketable with the ability to:

Classes designed by industry experts

Learn modern, sought-after skills from data analytics experts. The quality Data Analytics curriculum they’ve designed—one of few offered in Missouri—utilizes the latest technologies, including SAP’s BusinessObjects Business Intelligence and Power BI, as well as others from leading companies, like Oracle and Tableau.

Several Data Analytics courses are dedicated to cybersecurity, empowering you to safeguard data and operational integrity. Additionally, you have the option to specialize in industry-specific applications, such as marketing or health care analytics, to align your coursework with your career goals.

Your course list

The 36 credit hours required for the MS in Data Analytics must include:

Introductory Courses
  • Analytics Programming with R
  • Applied Business Statistics
  • Basic Finance for Managers
  • Databases and Data Warehouses
  • Social and Ethical Issues in Analytics

Reinforcement Courses
  • Analytics Applications using Python
  • Data Analytics OR Database Programming
  • Data Mining
  • Data Visualization

Proficiency Courses
  • Predictive Analytics
  • Time Series Analytics

Subject Specific Courses
  • Analytics Practicum

Learn More About Classes

Get hands-on, real-world experience

Webster’s Data Analytics program prioritizes personal learning through small class sizes. With a maximum of 20 students per course, we ensure close interaction between faculty and fellow students. Gain hands-on experience with data warehousing tools, create data marts and interactive dashboards, and use data mining processes to analyze and solve complex problems. This learning approach gives you practical knowledge you can apply in real-world scenarios.

Accelerate your career growth with a data analytics degree

According to the U.S. Bureau of Labor Statistics, data analytics is a growing industry with lucrative job opportunities. Graduate able to harness the power of data to solve problems and achieve organizational growth, putting you in high demand. Your MS in Data Analytics prepares you for positions like:

Data Scientist


Average annual salary (National, September 2022)

Operations Analyst


Average annual salary (National, September 2022)

IT Systems Analyst


Average annual salary (National, September 2022)

Source: Bureau of Labor Statistics

Tell Us About Your Goals

Achieve your personal and professional goals

We’re here to help

Webster is committed to your success. You'll never be alone as you pursue your MS in Data Analytics.

An education nationally recognized for quality

Earn your ACBSP-accredited MS in Data Analytics from Webster, an independent, nonprofit university accredited by the Higher Learning Commission (HLC).

Learn from industry experts

Combine theory and practice as you work alongside faculty members with professional experience in the field. They serve as mentors who are willing and eager to support your career goals.

Hear from one of our recent graduates

As someone who loves to work with data and computers, through my Webster degree I will be able to work with big and small organizations on the national and international level to find solutions for the many challenges the world faces right now.

- Ali Panah Niro
MS In Data Analytics, '22

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