10 Online Data Science Master's Programs With No GRE 2026

A master's degree in data science can help you develop advanced skills in statistics, machine learning, data visualization and predictive analytics. As organizations increasingly rely on data to guide decision-making, demand continues to grow for professionals who can collect, analyze and interpret complex information across industries such as healthcare, finance, technology and government.

Today, you can find accredited online data science programs at grad schools with no GRE requirements. Below, we'll explain what the GRE is, whether data science programs still require it and some of the best online options available for students interested in building expertise in data-driven problem-solving.

What Is the GRE and Why Do Some Schools Require It? 

The Graduate Record Examination (GRE) is a standardized test that has traditionally been used in graduate admissions. The exam measures verbal reasoning, quantitative reasoning and analytical writing skills, providing universities with one way to evaluate applicants from different educational and professional backgrounds.

Historically, some data science programs required GRE scores because graduate-level coursework often involves statistics, mathematics, programming, machine learning and analytical problem-solving. Admissions committees viewed the exam as one indicator of whether applicants were prepared for the quantitative demands of a technical graduate program.

In recent years, however, many universities have moved away from standardized testing requirements. Instead, admissions committees increasingly focus on factors such as undergraduate GPA, quantitative coursework, programming experience, professional accomplishments and personal statements. As a result, many online data science programs now offer admissions pathways that do not require GRE scores.

Is the GRE Required for Data Science Master's Programs?

A growing number of online data science master's programs no longer require GRE scores for admission. This shift reflects a broader trend toward holistic admissions practices that evaluate applicants based on their academic preparation, technical skills and professional experience rather than a single test score.

Many data science programs attract students from backgrounds such as computer science, mathematics, statistics, engineering, information technology and business analytics. Because applicants bring varying levels of technical experience and education, many schools now place greater emphasis on prior coursework, work experience and demonstrated analytical ability than on standardized testing.

While some data science master's programs continue to require GRE scores, they are becoming less common than they once were. For prospective students, no-GRE admissions policies can reduce application costs, simplify the admissions process and make graduate education more accessible. Even at schools that do not require the GRE, applicants should carefully review prerequisite coursework and admissions requirements before applying.

Top Online Data Science Master's Programs That Don't Require the GRE 

Data science professionals help organizations turn large amounts of information into actionable insights through statistics, machine learning, programming and data visualization. The schools below offer online data science master's programs that do not require GRE scores for admission, helping students develop advanced analytical and technical skills while maintaining the flexibility of online learning. 

1. Arizona State University

Arizona State University (ASU) is located in Tempe, Arizona, and is accredited by the Higher Learning Commission (HLC). The university offers multiple online data-focused master's programs, allowing students to select a pathway that aligns with their academic interests and career goals. Available program options include:

• Master of Science in Social Data Science
• Master of Science in Biological Data Science
• Master of Science in Applied Statistics for Data Science

While each program has a different focus, students develop skills in data analysis, statistics, programming, machine learning and data-driven decision-making. Depending on the program selected, coursework may emphasize applications in social science research, biological and healthcare data or advanced statistical modeling. Admission requirements include a bachelor's degree from an accredited institution, official transcripts and other required application materials. Arizona State University does not require GRE scores for admission.

2. Bellevue University

Bellevue University is located in Bellevue, Nebraska, and offers an online Master of Science in Data Science designed for students who want to build expertise in analytics, predictive modeling and data-driven decision-making. The program combines technical training with practical applications that prepare graduates to work with large and complex datasets.

The university is accredited by the HLC and offers one of the top online data science programs in the county. Coursework explores topics such as machine learning, data mining, artificial intelligence, statistical analysis and data visualization. Students learn how to extract insights from data and communicate findings that support organizational decision-making. Applicants must hold a bachelor's degree from an accredited institution and submit official transcripts and other required admissions materials. Bellevue University does not require GRE scores for admission.

3. Eastern University

Eastern University's Master of Science in Data Science is designed to help students develop advanced analytical and technical skills that can be applied across industries such as healthcare, business, technology and government. The program emphasizes data-driven decision-making through coursework in statistics, programming, machine learning and data visualization.

Located in St. Davids, Pennsylvania, Eastern University is accredited by the Middle States Commission on Higher Education (MSCHE). Students learn how to collect, analyze and interpret complex datasets while gaining experience with industry-relevant tools and technologies. Admission requirements include a bachelor's degree from an accredited institution, official transcripts and other required application materials. Eastern University does not require GRE scores for admission.

4. Johns Hopkins University

Johns Hopkins University's Master of Science in Data Science is accredited by the MSCHE. The program provides advanced training in machine learning, statistical analysis, data engineering and computational methods, preparing students for technical roles that require sophisticated data analysis skills.

The university is located in Baltimore. Students can customize their studies through electives that explore areas such as artificial intelligence, cloud computing, natural language processing and big data systems. Coursework emphasizes both theoretical foundations and practical applications, helping students develop expertise in extracting insights from large and complex datasets. Admission requirements include a bachelor's degree from an accredited institution and official transcripts. Johns Hopkins University does not require GRE scores for admission.

5. Merrimack College

Merrimack College is located in North Andover, Massachusetts, and is accredited by the New England Commission of Higher Education (NECHE). Its online Master of Science in Data Science is designed for students seeking careers in analytics, data engineering, machine learning and business intelligence.

The program combines technical coursework with hands-on applications in data analysis, predictive modeling and visualization. Students learn how to work with large datasets, develop data-driven solutions and communicate findings to support organizational decision-making. Applicants must hold a bachelor's degree from an accredited institution and submit official transcripts and other required admissions materials. Merrimack College does not require GRE scores for admission.

6. Tufts University

Tufts University is located in Medford, Massachusetts, and offers an online Master of Science in Data Science designed for students who want to develop advanced expertise in machine learning, statistical modeling and large-scale data analysis. The program combines technical rigor with practical applications, preparing graduates to solve complex problems using data-driven approaches.

The university is accredited by the NECHE. Coursework explores topics such as machine learning, artificial intelligence, data engineering, data visualization and big data analytics. Applicants must hold a bachelor's degree from an accredited institution and submit official transcripts and other required application materials. Tufts University does not require GRE scores for admission.

7. University of Colorado Boulder

The University of Colorado Boulder's Master of Science in Data Science is designed to help students develop advanced skills in statistics, machine learning, programming and data-driven decision-making. The program emphasizes practical applications and flexible online learning, making it a popular option for working professionals seeking to expand their technical expertise.

Located in Boulder, Colorado, the university is accredited by the HLC and is one of the best STEM colleges in Colorado. Students complete coursework in areas such as statistical inference, machine learning, data mining and data visualization while learning how to apply data science techniques to real-world challenges. Admission requirements vary by pathway, but GRE scores are not required for admission.

8. University of Illinois Urbana-Champaign

The University of Illinois Urbana-Champaign's online Master of Computer Science provides students with opportunities to build advanced computing and analytical skills through coursework in software systems, artificial intelligence and data science. Students interested in data-focused careers may pursue the program's Data Science Track, which combines computer science principles with advanced analytics and machine learning concepts.

The university is located in Champaign and Urbana, Illinois, and is accredited by the HLC. The Data Science Track includes coursework in machine learning, data visualization, data mining and large-scale data management. Applicants must hold a bachelor's degree from an accredited institution and submit official transcripts and other required admissions materials. The University of Illinois Urbana-Champaign does not require GRE scores for admission.

9. University of North Dakota

The University of North Dakota is located in Grand Forks, North Dakota, and is accredited by the HLC. Its online Master of Science in Data Science is designed to help students develop expertise in statistical analysis, machine learning, data engineering and predictive modeling. The program prepares graduates to work with large and complex datasets across a variety of industries.

Coursework explores topics such as data management, artificial intelligence, machine learning and advanced analytics while helping students build practical skills in data-driven problem-solving. Admission requirements include a bachelor's degree from an accredited institution and official transcripts. GRE scores are generally not required, although applicants whose prerequisite degree was not earned through a Computing Sciences Accreditation Board (CSAB) or Computing Accreditation Commission (CAC) accredited program may be asked to submit GRE scores as part of the admissions process.

10. University of Wisconsin–Green Bay

The University of Wisconsin–Green Bay is located in Green Bay, Wisconsin, and offers an online Master of Science in Data Science designed for students seeking advanced skills in analytics, machine learning, data visualization and data management. The program emphasizes practical applications that help graduates turn complex datasets into actionable business and organizational insights.

The university is accredited by the HLC. Coursework combines statistics, computer science and data analytics while preparing students for data-focused roles across industries such as healthcare, finance, manufacturing and technology. Applicants must hold a bachelor's degree from an accredited institution and submit official transcripts and other required admissions materials. The University of Wisconsin–Green Bay does not require GRE scores for admission.

How We Rank Schools

To create this list, we review data from the U.S. Department of Education College Scorecard and the National Center for Education Statistics (NCES), along with program-level details published by each university.

Because data science is an interdisciplinary field that combines statistics, computer science and analytics, we focus on programs that provide strong quantitative training and practical experience working with real-world data. We also prioritize:

• Accreditation: We give preference to regionally accredited colleges and universities. Accreditation helps ensure that programs meet recognized academic standards and may support employer recognition, financial aid eligibility and future educational opportunities.
• Data Science and Analytics Curriculum: We evaluate coursework in areas such as machine learning, predictive analytics, statistical modeling, data visualization, artificial intelligence, programming and data management. Programs that provide a strong balance of technical and analytical training receive additional consideration.
• Specializations and Program Options: We review available concentrations, tracks and focus areas that allow students to tailor their education to specific interests. Examples include applied statistics, biological data science, social data science, machine learning and business analytics.
• Admissions Accessibility: Schools that do not require GRE scores receive additional weight in our rankings. We also consider prerequisite requirements, GPA expectations and admissions policies that may affect accessibility for prospective students.
• Industry Relevance and Career Preparation: We evaluate opportunities for hands-on learning, applied projects, portfolio development and exposure to industry-standard tools and technologies. Programs that help students build practical skills for data-focused careers receive additional consideration.
• Online Flexibility and Student Support: We review online course delivery, scheduling options, faculty accessibility and student support resources that help learners balance graduate education with work and personal responsibilities.

Typical Admissions Requirements for Data Science Master's Programs

Admissions requirements for data science master's programs vary by university, but most schools seek applicants who demonstrate quantitative aptitude, analytical thinking and readiness for graduate-level technical coursework. Because data science combines elements of statistics, computer science and mathematics, admissions committees often evaluate both academic preparation and technical experience.

Most online data science master's programs require applicants to hold a bachelor's degree from a regionally accredited institution. Schools typically request official transcripts and may establish minimum GPA requirements, often ranging from 2.75 to 3.0. Some programs also require a résumé, personal statement or letters of recommendation that highlight academic achievement, professional experience and career goals.

Many data science programs no longer require GRE scores and instead focus on prior coursework and technical preparation. Applicants with backgrounds in computer science, mathematics, statistics, engineering, information technology, economics or related fields may have an advantage during the admissions process. Some universities may also require or recommend prior coursework in statistics, calculus, programming or data analysis before enrollment.

How Much Do Online Data Science Master's Programs Cost?

The cost of an online data science master's program varies based on factors such as the university, program length and residency status. In many cases, total tuition ranges from approximately $12,000 to $60,000, although highly ranked private universities and specialized programs may cost more.

Students should also budget for expenses beyond tuition, including technology fees, software subscriptions, cloud computing resources, textbooks and graduation fees. Programs that include specialized certificates, concentration tracks or advanced project experiences may have additional costs beyond standard tuition.

Most accredited universities accept the Free Application for Federal Student Aid (FAFSA), allowing eligible students to access federal loans and other forms of financial aid. Students may also qualify for scholarships, employer tuition assistance programs, military education benefits and workforce development grants. Comparing total costs alongside available financial aid can help you identify a data science program that aligns with your budget and professional goals.

How To Choose the Right No-GRE Data Science Master's Program     

With more universities removing GRE requirements, prospective students have a growing number of data science programs to consider. As you compare schools, it is important to look beyond admissions policies and evaluate factors that can influence your technical development, specialization opportunities and long-term career goals.

Evaluate the Technical Curriculum

Data science programs vary significantly in their focus areas. Some emphasize machine learning and artificial intelligence, while others focus more heavily on statistics, data analytics or business applications. Review the curriculum carefully to ensure it includes coursework in areas that align with your interests and career objectives.

Consider Available Specializations

Many universities offer concentrations or tracks that allow students to develop expertise in a particular area of data science. Depending on the program, you may find options in machine learning, data analytics, applied statistics, business intelligence, healthcare analytics or social data science. Choosing a specialization can help you build targeted skills for specific industries and roles.

Review Prerequisite Requirements

Because data science is a technical field, many programs expect students to have prior experience in mathematics, statistics, programming or computer science. Before applying, review prerequisite coursework requirements and determine whether you may need additional preparation before beginning graduate-level studies.

Look for Hands-On Learning Opportunities

Employers often value practical experience alongside academic credentials. Programs that include applied projects, capstone experiences, portfolio development or opportunities to work with real-world datasets can help you build skills that translate directly to the workplace.

Compare Costs and Financial Aid

Graduate education is a significant investment, making it important to compare tuition, fees and other expenses. Review scholarship opportunities, employer tuition assistance programs and federal financial aid options. Most accredited universities accept FAFSA applications and participate in federal aid programs.

Career Outlook With a Data Science Master's Degree

A master's degree in data science can prepare graduates for careers that involve collecting, analyzing and interpreting data to support business, scientific and organizational decision-making. As organizations continue to generate larger volumes of data, demand remains strong for professionals who can transform information into actionable insights.

According to the U.S. Bureau of Labor Statistics (BLS), employment of data scientists is projected to grow 34%, much faster than the average for all occupations, over the next decade. Growth is being driven by increasing use of big data, artificial intelligence, machine learning and predictive analytics across industries such as healthcare, finance, technology, manufacturing and government.

FAQs About No-GRE Data Science Master's Programs

If you're considering a data science master's degree, you may have questions about admissions requirements, technical backgrounds and career opportunities. Below are answers to some of the most common questions prospective students ask when researching online data science programs with no GRE requirement.

Can You Get Into a Data Science Master's Program Without the GRE?

Many universities no longer require GRE scores for admission to data science master's programs. Instead, schools often evaluate applicants based on undergraduate GPA, quantitative coursework, programming experience, professional accomplishments and personal statements. This approach allows admissions committees to assess an applicant's overall readiness for graduate-level study rather than relying on a standardized test score.

Do You Need a Computer Science Degree To Study Data Science?

Many data science programs accept students from backgrounds such as mathematics, statistics, engineering, economics, information technology and other quantitative fields. Some universities may require prerequisite coursework in programming, calculus or statistics before enrollment, particularly for applicants without a technical undergraduate degree.

Are No-GRE Data Science Programs Easier To Get Into?

While eliminating the GRE can make the admissions process more accessible, universities still evaluate academic performance, technical preparation and professional experience. Many programs maintain rigorous admissions standards because data science coursework often involves advanced mathematics, programming and statistical analysis.

Can You Earn a Data Science Master's Degree Fully Online?

Many universities offer fully online data science master's programs that allow students to complete coursework from anywhere. Depending on the school, students may participate in asynchronous courses, live online classes or a combination of both. Some programs also include hands-on projects and portfolio-building experiences that can be completed remotely.

Is a Data Science Master's Degree Worth It?

For students interested in analytics, machine learning, artificial intelligence and data-driven decision-making, a data science master's degree can provide advanced technical skills that are valued across many industries. The degree may help graduates qualify for specialized technical roles, expand their expertise or move into leadership positions that require advanced analytical capabilities. Career outcomes vary based on experience, specialization and industry demand.  

Find No-GRE Grad Schools 

Find your perfect data science master’s program by exploring the online options featured on Learn.org. Reach out to specific schools to find out more about admissions, enrollment, and financial aid.