Master’s in Analytics Programs

Data has the power to make businesses more successful, improve healthcare, and advance scientific research. This makes it—and the skills needed to analyze and interpret it—a valuable asset for organizations of all types and sizes. Demand for analysts who can provide data-driven solutions has more than doubled over the last few years, giving rise to new career opportunities for those who want to work in the field. As demand for data expertise has grown, so have the number and diversity of master’s degree programs in the field of analytics. Currently, three types of programs are most prevalent: master’s in data analytics, master’s in data science, and master’s in business intelligence.

Analytics degree programs are both evolving and interdisciplinary. In addition, there is not a specific accrediting body that sets curricular guidelines, or oversees degree requirements and naming conventions. Consequently, master’s in analytics programs are offered by many different departments, including data science, computer science, engineering, statistics, and more. Also, because there is no standardized name for these degrees, it can be hard to compare programs across universities, as programs with the same name may have a different focus. Conversely, programs with totally different names may actually have very similar curricula.

Online Master’s in Analytics Programs

For students interested in earning a master’s degree in analytics online, OnlineEducation.com has researched over 200 programs with set criteria to classify programs into one of three buckets:

  • Master’s in Data Analytics: These programs must have at least four highly targeted courses that address the applied mathematics, statistical modeling, and data mining skills that are central to analytics.
  • Master’s in Data Science: In addition to foundational analytics coursework in mathematics, statistics, and data mining, these programs must include focused data science courses in subjects like big data management, applied machine learning, and programming in R, Python, or SAS.
  • Master’s in Business Intelligence: In addition to core training in data mining and data analysis, these programs must include data-oriented information technology classes in areas like data warehousing and dashboarding.

With this research, we have created a comprehensive and proprietary database of programs that allows students to compare programs across universities without worrying about different naming conventions. For each program, we have included detailed information about course requirements and options, admissions criteria, tuition costs, and more.

In addition to classifying programs based on their curricula, on OnlineEducation.com we also classify programs based on the number of campus visits they require per year. For a program to be included on the site and classified as online, it must require two or fewer campus visits per year. Programs that require more than two visits per year are considered hybrid-online programs and are not included on the site.

As of February 2017, we have 68 non-profit universities offering 82 online masters in analytics programs in our comprehensive database. (On OnlineEducation.com, we only list programs offered by non-profit universities). The majority of programs are categorized as online Master’s in Data Analytics programs, followed by online Master’s in Data Science programs and then online Master’s in Business Intelligence programs. The exact breakdown is as follows:

  • Master’s in Data Analytics: 54 programs offered by 50 universities
  • Master’s in Data Science: 19 programs offered by 19 universities
  • Master’s in Business Intelligence: 9 programs offered by 9 universities

A complete list of the 68 universities offering these programs can be found on our Online Masters in Analytics Schools page.

Additional Analytics Resources on OnlineEducation.com

To complement our comprehensive directory of programs, we have created a Guide to Careers in Data Analytics and Data Science. This guide features information from interviews we conducted with industry experts and includes sections on the major types of data analysis; careers within data analytics, data science, and business intelligence; key skills and knowledge employers look for in data hires; and relevant programming languages and platforms. It also provides details on how analytics is used across many different industries. This guide is a must read for anyone interested in learning more about careers in analytics. We have also created an analytics FAQ section and featured content that explores different aspects of data analytics, data science, and business intelligence.


Online Master’s in Analytics Program Pages:

Online Master’s in Business Intelligence Programs

Business intelligence combines the tools of data analytics and information technology with theories of organizational management. It is a distinct approach to analytics, with its own methodologies and training protocols. This page provides prospective students with research into online master’s in BI degrees. It also covers the coursework and training typical in BI degrees, and offers an overview of online learning considerations.

Online Master’s in Data Analytics Programs

“Big data” and “analytics” have become popular terms, but those considering a career in data analytics should know that it is a far more diverse field than commonly regarded. This page offers prospective students an inside look at online master’s in data analytics degree programs, including how they differ from programs in data science and business intelligence.

Online Master’s in Data Science Programs

Data science degree programs teach students how to collect, optimize, and analyze even the largest and most varied datasets. This involves programming advanced algorithms and using machine learning. As a result, data science programs are more closely related to computer science than other analytics disciplines. This page details the courses and core concepts associated with online data science master’s degree programs.