Online Data Science Masters Rankings

Last Updated on December 20, 2022

A college education is one of the most valuable things you can invest in. With that in mind, we’ve compiled a list based on input from faculty and staff at colleges and universities around the country about which online data science masters programs offer the best return on investment within the first 6-12 months of graduating.

Best Universities for Masters (MS) in Data Science in USA |

Students interested in earning a master’s in data science can review this page to learn more about the variety of resources and benefits available to them. Below, we highlight the best online master’s in data science programs of 2020, common coursework at the master’s level, common concentration opportunities, admission requirements, pathways and related careers, and additional resources to help students better explore their program options.

Best Online Master's in Data Science Programs of 2021 | BestColleges

Best Data science Masters

1University of Southern CaliforniaLos Angeles, CA
2University of VirginiaCharlottesville, VA
3Brandeis UniversityWaltham, MA
4George Mason UniversityFairfax, VA
5DePaul UniversityChicago, IL
6Western Governors UniversitySalt Lake City, UT
7Regis UniversityDenver, CO
8Northeastern UniversityBoston, MA
9Davenport UniversityGrand Rapids, MI
10Austin Peay State UniversityClarksville, TN

Across the data science field, professionals who hold a master’s degree are eligible for lucrative, in-demand careers. According to the Bureau of Labor Statistics, computer and information research scientists earn an annual mean wage of $118,370 and these positions are projected to grow by 16% from 2018-2028; both of these numbers far outpace national averages for all jobs. Data science professionals can also find high-paying careers in the navigational, measuring, electro medical, and control instruments manufacturing industry.

The 10 Best AI And Data Science Master's Courses For 2021

How Do You Choose an Online Master’s in Data Science Program?

Students pursuing their online master’s in data science balance theory and fundamentals with industry-relevant projects and applications. Learners explore data analytics and data science concepts while maintaining ethical standards in data management. Upon graduating, students can create infographics and visualizations to explain data, identify patterns and trends in data, and use data to find new revenue sources to define business strategies. Students study a variety of important topics, including database administration, data warehousing design, data analytics, big data, and technical foundations.

Some data science programs allow students to choose a concentration and tailor their degree to meet their interests. While every data science program differs, each provides students with a solid skill set and knowledge base to thrive in the field. Some programs require students to complete a thesis, final project, or other on-campus component prior to graduation.

data science degree online

Students in an online master’s in data science program explore topics that prepare them for successful careers. Learners study different aspects of data science, including data analytics, administration, data warehousing design, database design, implementing databases, and web-enabled information systems. Some programs place more emphasis on business and management, while some focus more on the technical and scientific aspects of the field. While course topics vary by program, students can examine key components in their area of interest.

Curriculum for a Master’s in Data Science Degree Programs

  • Database Administration: The database administration course introduces students to the roles, responsibilities, critical knowledge, and skills necessary for database administrators.
  • Data Analytics: Focused on investigating and understanding data, data analytics courses develop fundamental concepts for students who anticipate working in big data, including modeling, mining, hypothesizing, transforming, and cleaning data.
  • Data Warehousing Design: Focusing on the implementation of data warehouses, the data warehousing design course teaches students fundamental concepts, including record of source, metadata, granularity, and partitioning. Students learn how data warehousing can support various roles in the field.
  • Database Design and Implementation: Focusing on the relational database model and logical, conceptual, and physical phases of database development and design, the database design and implementation course allows students to discover emerging data warehouse technologies.
  • Web Enabled Information Systems: Introducing the design of web-enabled information systems and reviewing programming principles, the web-enabled information systems course teaches students about object-oriented principles. Students learn about web applications, exploitation of technology, and data retention and integrity.
  • Technical Foundations: Providing students with a substantive review of technology, the technical foundations course reviews networking technology, hardware, databases, applications, and information services. Students learn about data in transit, data at rest, and data being processed.

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