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Key takeaway: An online data analytics degree teaches you to collect, clean, analyze, and communicate data so organizations can make decisions from it. Most online offerings at this level are bachelor’s degrees, usually titled BS in Data Analytics, though some schools title the same degree Business Analytics or Data Science. A bachelor’s is generally the entry credential for analyst roles, and the field has no programmatic accreditor, so institutional accreditation is the check that matters. Compare accredited programs below.
Data analytics sits between statistics, computing, and business. Coursework typically pairs statistical reasoning with practical tooling – SQL, a programming language such as Python or R, and visualization software – then applies both to real business questions. Accredited online programs generally deliver the same curriculum and degree titles as campus programs; browse the best accredited online colleges to compare schools that offer them.
These accredited schools offer online programs. Request information to compare programs, costs, and formats.
Every school list on this site is ordered by the BOC Score, computed from the most recent school-level data published by the U.S. Department of Education (College Scorecard and IPEDS). To qualify, a school must be currently operating and accredited by an agency recognized by the U.S. Department of Education. Each eligible school is then scored on five measures, percentile-ranked against schools at the same credential level:
Schools without enough outcome data appear after ranked schools, without a score. Advertising never affects these rankings. Read the full methodology.
Source:Accreditor: Western Association of Schools and Colleges Senior Colleges and University CommissionIPEDSCollege Scorecard
Source:IPEDSCollege Scorecard
Source:IPEDSCollege Scorecard
Data analytics graduates work across technology, healthcare, finance, government, retail, and consulting. The occupations below are commonly associated with analytics coursework. Median annual wages come from the Bureau of Labor Statistics Occupational Employment and Wage Statistics program.
Entry requirements differ by occupation. For example, data scientist roles, which had a median annual wage of $120,230 (BLS OEWS, May 2025), often expect graduate coursework or substantial applied experience, while market research analyst and marketing specialist roles, at a median annual wage of $78,760 (BLS OEWS, May 2025), are more commonly entered with a bachelor’s degree. Individual outcomes vary by employer, geography, and experience.
Online data analytics programs cover statistics and probability, SQL and databases, programming in Python or R, data visualization, machine learning fundamentals, business intelligence, and data ethics and governance. Most conclude with a capstone project.
The bachelor’s degree is the most common online offering, typically awarded as a BS in Data Analytics. Some schools title an equivalent program Business Analytics or Data Science, so compare the course list rather than the degree name.
No. There is no recognized programmatic accreditor specific to data analytics degrees. Verify that the institution holds accreditation from a recognized institutional accreditor such as HLC or SACSCOC through the U.S. Department of Education database.
Generally no. Most bachelor’s programs assume no prior programming experience and teach Python or R from the beginning. Comfort with algebra-level math is a more common expectation than coding background.
Data analytics focuses on drawing conclusions from data and communicating them to decision-makers. Computer science focuses on building software systems and the theory behind them. If you want the computing-heavy version of this work, see the data science concentration within computer science, which covers data science as a specialization inside a CS degree.
Data analytics curricula generally move through three layers. The first is quantitative foundation: statistics and probability, plus the algebra needed to support them. The second is tooling: SQL and relational databases, programming in Python or R, and data visualization software. The third is application: business intelligence, machine learning fundamentals, and data ethics and governance, usually pulled together in a capstone project that works a dataset from raw source through to a presented recommendation.
Programs vary in how much weight they put on the business side versus the technical side. A program titled Business Analytics usually leans toward the former, with more coursework in management and decision modeling. A program titled Data Science usually leans toward the latter, with more programming and statistical modeling. Read the required course list before assuming the title tells you which you are getting.
Analytics graduates typically start in roles that sit close to a specific business function: a marketing team, a clinical operations group, a supply chain unit, a risk department. The job is usually a mix of pulling data, checking whether it is trustworthy, analyzing it, and explaining the result to people who will act on it. That last part matters more than newcomers expect, and communication coursework in an analytics program is not filler.
Titles vary widely and often do not include the word “analytics.” For general labor-market context on the occupations analytics graduates commonly enter, see the Bureau of Labor Statistics Occupational Outlook Handbook.
Data analytics or a related field? Choose data analytics for a focus on drawing and communicating conclusions from data. Consider computer science if you want to build software systems, technology for a broader IT foundation, business administration for general management, or an MBA later if you are aiming at analytics leadership rather than hands-on analysis.
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