Best Data Analytics Degree Programs

These are the best data analytics programs in the United States based on our comprehensive methodology that considers graduation rates, program size, institutional reputation, and career outcomes. Rankings are updated annually using data from IPEDS and BLS.

Our rankings methodology weighs program strength (25%), graduation rate (20%), career outcomes (15%), institutional quality (12%), industry recognition (10%), selectivity (10%), and data transparency (8%). Learn more about our methodology →

Data analytics is the science of examining raw data to extract meaningful insights, patterns, and trends that inform business decisions. Unlike data science (which emphasizes machine learning and advanced modeling) or computer science (which focuses on software development), data analytics centers on transforming data into actionable business intelligence.

A data analytics degree covers statistical analysis, data visualization, SQL and database management, business intelligence tools (Tableau, Power BI), programming (Python, R), and domain-specific applications across marketing, finance, healthcare, and operations.

Data analytics professionals work across virtually every industry: tech companies, consulting firms, retail, healthcare, finance, government, and nonprofits. The degree provides both technical analytical skills and business acumen valued by employers seeking data-driven decision makers.

Data analytics is ideal for students who enjoy working with numbers, finding patterns in data, and translating insights into business recommendations. You don't need advanced programming skills—most programs teach necessary technical tools—but you should be comfortable with mathematics and logical thinking.

• Problem solvers who enjoy investigating questions and finding evidence-based answers
• Detail-oriented students comfortable with statistics, mathematics, and logical reasoning
• Curious analysts who want to understand what data reveals about trends and behaviors
• Business-minded students seeking roles that bridge technology and strategy
• Communication-focused individuals who can translate complex findings into clear recommendations

Data analytics degrees are available at multiple levels, each designed for different career goals and experience levels.

A bachelor's degree in data analytics is the standard credential for entry-level positions. These 4-year programs provide comprehensive training and hands-on experience.

4. University of Michigan-Ann Arbor (Ann Arbor, MI) - Score: 77.7, Tuition: $17,977

5. University of Pennsylvania (Philadelphia, PA) - Score: 73.6, Tuition: $58,620

6. University of California-San Diego (La Jolla, CA) - Score: 73.4, Tuition: $11,834

7. University of Wisconsin-Madison (Madison, WI) - Score: 73.1, Tuition: $9,644

8. University of Maryland-College Park (College Park, MD) - Score: 72.2, Tuition: $9,889

9. Massachusetts Institute of Technology (Cambridge, MA) - Score: 72.2, Tuition: $59,750

10. Rutgers University-New Brunswick (New Brunswick, NJ) - Score: 71.9, Tuition: $13,674

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A master's degree in data analytics prepares students for senior and specialized roles. These 1-2 year programs offer advanced expertise and leadership training.

4. University of Southern California (Los Angeles, CA) - Score: 92.5, Tuition: $66,640

5. Stanford University (Stanford, CA) - Score: 89.4, Tuition: $61,731

6. Cornell University (Ithaca, NY) - Score: 88.6, Tuition: $65,204

7. University of California-Los Angeles (Los Angeles, CA) - Score: 87.4, Tuition: $11,834

8. Northwestern University (Evanston, IL) - Score: 84.0, Tuition: $64,887

9. University of Washington-Seattle Campus (Seattle, WA) - Score: 84.0, Tuition: $11,524

10. University of North Carolina at Chapel Hill (Chapel Hill, NC) - Score: 82.7, Tuition: $7,019

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Online data analytics programs offer flexibility for working professionals. Top accredited programs provide the same curriculum quality as on-campus alternatives.

4. Stanford University (Stanford, CA) - Score: 89.4, Tuition: $61,731

5. Cornell University (Ithaca, NY) - Score: 88.6, Tuition: $65,204

6. University of California-Los Angeles (Los Angeles, CA) - Score: 87.4, Tuition: $11,834

7. University of North Carolina at Chapel Hill (Chapel Hill, NC) - Score: 82.7, Tuition: $7,019

8. University of Washington-Seattle Campus (Seattle, WA) - Score: 82.6, Tuition: $11,524

9. Virginia Polytechnic Institute and State University (Blacksburg, VA) - Score: 81.3, Tuition: $12,698

10. University of California-Davis (Davis, CA) - Score: 80.1, Tuition: $11,834

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An associate's degree in data analytics provides a 2-year pathway into the field. These programs are ideal for career starters or those planning to transfer to a 4-year program.

4. College of Southern Nevada (Las Vegas, NV) - Score: 41.8, Tuition: $3,465

5. Miami Dade College (Miami, FL) - Score: 41.0, Tuition: $1,987

6. Remington College-Online Dallas (Dallas, TX) - Score: 39.3, Tuition: $15,764

7. St Petersburg College (St. Petersburg, FL) - Score: 39.3, Tuition: $1,943

8. De Anza College (Cupertino, CA) - Score: 38.8, Tuition: $1,395

9. Gateway Technical College (Kenosha, WI) - Score: 38.4, Tuition: $4,386

10. Cleary University (Howell, MI) - Score: 37.8, Tuition: $23,292

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Graduate programs in data analytics (PhD and doctoral degrees) prepare students for research, academic, and senior leadership positions.

4. Stanford University (Stanford, CA) - Score: 75.8, Tuition: $61,731

5. University of Michigan-Ann Arbor (Ann Arbor, MI) - Score: 70.5, Tuition: $17,977

6. Washington University in St Louis (Saint Louis, MO) - Score: 68.6, Tuition: $61,750

7. University of California-Irvine (Irvine, CA) - Score: 68.3, Tuition: $11,834

8. University of Pennsylvania (Philadelphia, PA) - Score: 67.2, Tuition: $58,620

9. University of California-Santa Barbara (Santa Barbara, CA) - Score: 62.7, Tuition: $11,834

10. The University of Texas at Austin (Austin, TX) - Score: 62.4, Tuition: $11,678

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Looking for quality data analytics education without the hefty price tag? These programs offer the best value—balancing tuition costs with strong academic outcomes and career prospects. Our Value Score factors in graduation rates, program strength, and institutional quality relative to cost.

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Data analytics graduates enter one of the fastest-growing fields in technology. The Bureau of Labor Statistics projects 35% job growth for data analysts through 2032—much faster than average for all occupations. This growth is driven by increasing data volumes and the need for data-driven decision making across all industries.

Data analytics programs combine technical skills, statistical knowledge, and business acumen. Core courses typically include statistics, database management, programming, visualization, and applied analytics projects.

• Statistics and Probability: Descriptive and inferential statistics, hypothesis testing, regression analysis
• Programming: Python and R for data analysis, SQL for database querying
• Data Management: Database design, data warehousing, ETL processes
• Visualization: Tableau, Power BI, and programming-based visualization tools
• Business Intelligence: Dashboard design, reporting, KPI development
• Applied Analytics: Real-world projects in marketing, finance, operations, or healthcare analytics

Many programs also include capstone projects, internships, or industry partnerships. Advanced courses may cover predictive analytics, machine learning fundamentals, and specialized domain applications.

Data analytics focuses on business intelligence and decision support rather than building predictive models. Analytics professionals create dashboards, reports, and visualizations that help organizations understand their data and make informed decisions.

The emphasis on communication and business context distinguishes analytics from data science. While data scientists build models, analysts explain what the data means to business stakeholders who make decisions based on those insights.

Analytics tools like SQL, Excel, Tableau, and Power BI are more accessible than ML frameworks, making analytics a viable entry point for people transitioning into data careers without extensive programming backgrounds. Many analysts later specialize in data science or data engineering.

For most students, yes. The combination of strong starting salaries ($52,000+ for new grads), exceptional job growth (35% through 2032), and increasing demand across all industries makes data analytics one of the most promising career paths in technology.

When it's worth it: You're interested in working with data, comfortable with statistics and basic programming, and want a career that bridges technology and business. The degree provides structured learning, networking opportunities, and credibility with employers that bootcamps and self-study often can't match.

When to consider alternatives: You already have strong technical skills and just need analytics tools (data analytics bootcamps or certifications might be faster), you have significant financial constraints (consider starting at community college), or you're certain you want to focus only on machine learning (data science degrees might be better).

The field offers excellent job security because every organization needs people who can make sense of their data. Unlike some tech roles that may be automated, data analytics requires human judgment and business understanding.

While a degree is the most comprehensive path, alternatives exist for those with different timelines, budgets, or goals

• Best Data Analytics Bootcamps — 12-24 week intensive programs for career switchers
• Data Analytics Certification Guide — Industry credentials for skill validation
• Best Data Science Bootcamps — If you want more machine learning focus
• Self-Taught vs Degree: An Honest Comparison — Pros and cons of each path
• Bootcamp vs Masters: ROI Analysis — Cost-benefit comparison for working professionals

Many successful analysts combine approaches—starting with online courses or bootcamps, then adding formal education for advancement. The key is matching your path to your timeline, budget, and career goals.