Accredited Online Data Science Degrees

Online data science degrees equip students with essential data science skills to analyze, interpret, and leverage complex data sets to drive informed decision-making. As organizations increasingly rely on data analytics and predictive modeling for strategy and operations, data science has become one of the fastest-growing and most in-demand fields in technology.

This page helps you evaluate whether data science is the right career path, understand how online data science programs are structured, and compare options using GetEducated’s comprehensive online degree database.

Browse over 350 online data science degree listings below to explore accredited programs designed for working professionals.

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What to Expect from an Online Data Science Degree

Online data science degree programs focus on extracting meaningful insights from raw data and applying those insights to solve real world problems. Compared to other technology degrees, data science blends statistics, programming, and business analysis.

Most programs emphasize:

• Data analysis, statistical inference, and data mining
• Programming languages such as Python, R, and SQL
• Data visualization to communicate findings effectively
• Machine learning fundamentals including deep learning and natural language processing
• Handling large datasets and cloud computing platforms

Unlike computer science, which centers on building software systems, data science focuses on interpreting data and generating actionable business insights.

• Computer Science and IT Degree Category

Students comparing all program options across fields can also explore

• All Online Degrees

Is Data Science the Right Career Path?

Data science is ideal for individuals who enjoy working with data, identifying patterns, and solving problems through analytical thinking.

This field is a strong fit for those who:

• Enjoy working with numbers, complex data sets, and statistical models
• Like uncovering trends and insights to influence business or public policy
• Are interested in strategic decision-making using data analytics
• Prefer analytical work over traditional software engineering roles

Compared to related fields:

• Data science is more analysis-focused than computer science
• It overlaps with artificial intelligence but is less focused on deep algorithmic modeling
• It is more technical than business analytics but more applied than pure mathematics

Students exploring related fields may also consider:

• Artificial Intelligence Degrees
• Computer Science Degrees
• Computer Information Systems Degrees

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Data Science Degree Levels and Career Alignment

Different degree levels prepare students for various roles in data science.

Bachelor’s Degree in Data Science or Related Fields

A bachelor’s degree provides foundational data science skills for entry-level roles.

Students develop proficiency in:

• Data analysis, visualization, and statistical modeling
• Programming and database management systems
• Linear algebra and essential concepts in machine learning
• Business intelligence and data-driven decision tools

Browse online bachelor’s degrees in data science.

Graduates are prepared for roles such as data analyst, junior data scientist, or data engineer.

Master’s Degree in Data Science

A master’s degree in data science is preferred for advanced roles and specialization.

Students may focus on:

• Advanced machine learning including Bayesian machine learning and deep learning
• Predictive modeling and big data systems
• Research design and capstone projects integrating real world challenges
• Elective courses in areas like natural language processing, text analytics, and cloud computing

Browse online master’s degrees in data science.

Graduate education is commonly expected for leadership roles and specialized positions such as machine learning engineer.

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Core Skills Developed in Data Science Programs

Data science programs emphasize both technical and analytical skills essential for today’s data-driven careers.

Students build:

• Data analysis and interpretation skills using statistical inference
• Programming expertise in Python and other data science tools
• Data visualization techniques to effectively communicate insights
• Problem-solving skills using real world datasets and predictive modeling
• Understanding of data privacy and ethical data use

These skills are critical for turning data into actionable business insights.

Career Paths in Data Science

Data science graduates are in demand across diverse industries.

Common roles include:

• Data Analyst
• Data Scientist
• Business Intelligence Analyst
• Data Engineer
• Machine Learning Engineer

Professionals in this field work in:

• Technology and software engineering companies
• Finance and banking sectors
• Healthcare and biomedical research
• Retail, e-commerce, and marketing analytics
• Government agencies and public policy organizations

Students interested in adjacent roles may also explore GetEducated articles on jobs and careers in the IT space:

• Information Technology Careers - Top 20 Jobs
• Computer Science and Information Technology Career Center
• 13 Best Paying Jobs in Technology
• How to become a data scientist

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Salary Expectations for Data Science Careers

Data science offers strong earning potential, especially as experience and specialization increase.

Typical salary ranges include:

• Entry-level roles: $75,000 to $95,000 median base salary
• Mid-level roles: $95,000 to $130,000
• Advanced and leadership roles: $130,000 to $160,000+

Highly specialized roles such as machine learning engineer or data science manager may exceed these ranges.

How to Choose the Right Online Data Science Degree

When comparing online programs, focus on factors that directly impact your ability to work with data in real-world settings.

Key considerations include:

• Balanced curriculum covering statistics, programming, and business applications
• Inclusion of data science courses such as data mining, data analytics, and machine learning
• Opportunities for hands-on projects and a capstone project
• Program flexibility allowing study at your own pace
• Cost, accreditation, and return on investment

Students should also evaluate whether the program emphasizes theory, applied skills, or a combination of both.

GetEducated has several ranking reports for data science degrees:

• Bachelor's degree in data science ranking report
• Master's degree in data science ranking report

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Compare Accredited Online Data Science Degrees

GetEducated’s database includes accredited online data science programs from reputable U.S. universities.

You can:

• Compare degree levels including bachelor’s, master’s in data science, and online MS options
• Evaluate program costs and flexible payment options
• Explore course offerings including elective courses with special emphasis on emerging topics
• Review faculty expertise and career services available to students

Browse online data science degree programs below to find the right fit for your career goals.

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Frequently Asked Questions About Data Science Degrees

Is a data science degree worth it compared to bootcamps?

A degree provides deeper foundational knowledge in statistics, data modeling, and systems, while bootcamps focus on short-term skill acquisition. Degrees typically offer better preparation for long-term career growth and leadership roles, especially in handling complex data sets and ethical data privacy considerations.

Do I need programming experience before starting a data science degree?

No, many online data science programs start with foundational programming courses. However, having basic familiarity with programming concepts can make the transition easier.

What’s the difference between data science and business analytics?

Data science is more technical and includes programming, machine learning, and statistical inference. Business analytics focuses more on interpreting data for business decisions and may require less technical depth.

What entry-level jobs can I get with a data science degree?

Most graduates start as data analysts or junior data scientists. These roles involve working with datasets, building reports, and supporting decision-making processes before advancing to specialized positions such as data engineer or machine learning engineer.