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Compare online master’s in analytics programs

Online master of analytics programs teach programming, statistics, and analysis skills. Discover top programs, related benefits, and popular career paths.

Explore online master’s in analytics programs

Why earn an online master of data analytics degree?

New technology

Attendees may have the opportunity to study machine learning, data mining, and programming languages.

Interesting career paths

Online master's of analytics graduates can pursue interesting careers that allow them to collect, clean, and analyze data.

Flexibility of study

Online programs may offer asynchronous courses. Asynchronous attendees can study and continue working simultaneously.


Master's in analytics programs teach data mining, processing, and visualization techniques. Graduates of these programs can then pursue high-level math and computer science roles with strong salaries.

Learn about various master's in data analytics programs, curricula, and common career paths.

Browse online analytics degree programs

Online master's in data analytics programs

Online master's in business analytics programs

What can you do with a master's in analytics degree?

Online master's of analytics degree-holders can pursue multiple careers, including data scientist and business analyst. These professionals can transform datasets into digestible information with visual aids. Almost all industries produce large amounts of data and can benefit from analytical insights.

Graduates of master's in data analytics programs can pursue additional education through certificates and PhD programs. Highly qualified individuals can pursue advanced roles, including machine learning engineer.

Here are a handful of career opportunities for data analytics professionals:

  • Business intelligence manager
  • Information security manager
  • Data architect
  • Database administrator

Salary expectations for online master's in data analytics graduates

Salaries for graduates of online master's of analytics programs depend on career path, location, and experience. According to the Bureau of Labor Statistics (BLS), data analytics professionals can pursue multiple roles with over a $100,000 median pay, including data scientist, database administrator, and information security analyst.

Data scientists earned a median annual salary of $108,020 in 2023, while information security analysts earned a median annual salary of $120,360 during that same period, according to the BLS.

Career outlook for online master's in data analytics graduates

Data scientists represent one of the fastest-growing data analyst careers, with an expected growth rate of 36% between 2023 to 2033, according to the BLS.

The BLS expects careers that require math and computer science skills to grow significantly faster than the average U.S. occupation from 2023 to 2033. Job growth rates can be influenced by emerging technologies, corporate needs, and consumer demands.

What can you expect from a master's in analytics program?

Master's in data analytics programs typically require one to two years to complete and include roughly 30 to 36 credit hours.

These programs teach students how to collect, organize, and analyze datasets. Attendees will study statistics, programming languages, and software engineering to understand the data transformation process.

Enrollees may learn about advanced technologies, including machine learning and artificial intelligence. Graduates are expected to understand data storage security measures, various analytical methodologies, and how to summarize findings for non-technical individuals.

Types of master's in data analytics programs

Data analytics programs may provide specialization options, including business data, marketing, or big data analytics. Students can pursue a specialization that aligns with their future career goals, such as:

  • Business data analytics: Business data analytics programs teach students how to influence business decisions through data analysis. Students can learn how to gather and utilize data from multiple corporate departments, including operations, logistics, and finance.
  • Marketing analytics: Marketing analytics programs focus on solving marketing issues via analyzing online shopper experiences, digital marketing campaigns, and social media interactions data.
  • Big data: Big data programs teach attendees how to design and build large-scale databases and data sets. Attendees may learn about automatic error detection methods, NoSQL database systems, and real-time analysis techniques.
  • Data science: Data science programs teach advanced data analytics and forecasting methods. Program curricula may cover machine learning, neural networks, and algorithmic optimization.

Earning a master's in data analytics degree online

Online master's of analytics enrollees have additional flexibility compared to in-person attendees. Remote learners can pursue any online program within the U.S. and may have the option to complete courses at-will.

Data analytics online students can simultaneously take courses and implement lessons on their computer. Individuals can download datasets, try new programming languages, and create visuals throughout a lesson.

In-person programs offer benefits as well, however, including additional structure, networking opportunities, and live extracurricular options.

Curriculum for master's programs in data analytics

Master's of data analytics programs provide different curricula that usually include core and elective classes. Select programs may also provide specialization or capstone courses. Some common courses include:

  • Foundations of data: This introductory course teaches the principles of data collection and analytical techniques. Students may learn data verification methods, open source tools, and potential ethical issues.
  • Decision methods and modeling: Decision methods and modeling courses underscore the importance of data evaluation and interpretation. Courses may discuss data mining, predictive modeling, and data management.
  • Visualization of data: Visualization classes teach attendees how to create visual aids to assist reports and presentations. Class graduates will likely understand how to create a digital story and tailor it for various audiences.
  • Ethics in data analytics: Data analytics ethics courses cover the importance of keeping data private and secure. Topics may include legal frameworks, data permissions, and data privacy laws for various industries.

Frequently asked questions

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