Compare online master’s in analytics programs
Master of analytics programs prepare graduates for advanced, well-paid roles in math and computer science. Explore top programs, core coursework, and career paths in analytics.
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 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.
Which master of data analytics program is right for you?
What can you expect from a master's in analytics program?
Master's in data analytics programs typically require 1-2 years of full-time study and include roughly 30-36 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 and various analytical methodologies. They must know how to summarize findings for non-technical individuals.
Types of master's in data analytics programs
Data analytics programs allow students to specialize in various areas, including business data, marketing, and 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 by analyzing online shopper experiences, digital marketing campaigns, and social media interactions.
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 online
Online master 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 their own pace.
The flexibility of an online program may suit learners with responsibilities outside of school, such as work, family, and personal life. However, in-person programs offer benefits as well, including additional structure, networking opportunities, and campus amenities.
Curriculum for master's programs in data analytics
Master of data analytics programs usually include core and elective classes. Select programs may also offer 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.
What can you do with a master's in analytics degree?
Online master's of analytics degree-holders , 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 certificate and PhD programs. Highly qualified individuals can pursue advanced roles, including machine learning engineer.
Data analytics professionals may seek positions like:
- Business intelligence manager
- Information security manager
- Data architect
- Database administrator
Salary expectations for online master's in data analytics graduates
Salaries vary for master's in analytics graduates. The amount you can make depends on your specific career path, location, and experience. According to the Bureau of Labor Statistics (BLS), data analytics professionals can pursue multiple roles with a median annual salary of $100,000 or more, including data scientist, database administrator, and information security analyst.
Data scientists earned a median annual salary of $112,590 in 2024, while information security analysts earned a median annual salary of $124,910 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 the BLS projecting a growth rate of 34% between 2024 and 2034.
The BLS expects careers that require math and computer science skills to grow significantly faster than the average U.S. occupation during the period. Job growth rates can be influenced by emerging technologies, corporate needs, and consumer demands.
Frequently asked questions
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