Best Data Analytics Programs in Virginia 2025
Updated December 2025

Best Data Analytics Programs in Virginia 2025

Comprehensive ranking of Virginia's top data analytics degree programs, featuring career outcomes, tuition costs, and admission requirements.

Programs Analyzed15
Avg. Starting Salary$72,400
Job Growth Rate35%

Top 3 Data Analytics Programs in Virginia

๐Ÿฅ‡ #1

Virginia Tech

Blacksburg, VAPublic Research University

Top-ranked analytics program with strong industry partnerships and 94% job placement rate

$14K
Tuition/yr
83%
Grad Rate
95.0
Score
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Program
๐Ÿฅˆ #2

Virginia Commonwealth University

Richmond, VAPublic Research University

Comprehensive data science curriculum with healthcare analytics specialization

$16K
Tuition/yr
71%
Grad Rate
89.0
Score
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Program
๐Ÿฅ‰ #3

George Mason University

Fairfax, VAPublic Research University

Strong connections to DC tech corridor with hands-on industry projects

$14K
Tuition/yr
70%
Grad Rate
87.0
Score
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Program
Key Takeaways
  • 1.Data analytics jobs in Virginia are projected to grow 35% through 2032, significantly faster than the national average
  • 2.Virginia Tech leads with the highest graduate employment rate at 94% within six months
  • 3.Average starting salaries for data analytics graduates range from $65,000-$78,000 across Virginia programs
  • 4.The Washington DC metro area provides the highest concentration of analytics jobs with Fortune 500 companies
  • 5.In-state tuition averages $14,200 annually across Virginia's top data analytics programs

Virginia Data Analytics Job Market Overview

Virginia's data analytics job market ranks among the strongest nationally, driven by the concentration of federal agencies, defense contractors, and Fortune 500 companies in the Northern Virginia region. The state offers 12,400 data analytics positions with a median salary of $94,200 (Bureau of Labor Statistics).

The Washington DC metropolitan area, which includes Northern Virginia, represents the second-largest tech hub on the East Coast. Major employers like Amazon Web Services, Capital One, Booz Allen Hamilton, and Lockheed Martin actively recruit Virginia data analytics graduates. These companies offer starting salaries 15-20% above the national average for entry-level analysts.

Virginia's unique position as home to both government agencies and private sector technology companies creates diverse career paths for data analytics graduates. Federal contractors specializing in cybersecurity and defense analytics offer some of the highest compensation packages, while fintech companies in Richmond and Norfolk provide opportunities in financial data analysis.

The state's investment in technology education through the Virginia Innovation Partnership Authority has strengthened industry-university collaborations. Programs like Virginia Tech's Corporate Research Center and VCU's da Vinci Center provide students direct access to real-world analytics projects and internship opportunities with leading employers.

Ranking Methodology

Based on 15 programs from College Scorecard, IPEDS, and institutional reporting

Graduate Employment Rate25%

Percentage employed within 6 months of graduation

Starting Salary Data20%

Average salary for recent graduates

Industry Partnerships20%

Corporate connections and internship programs

Curriculum Quality15%

Technical skills coverage and hands-on projects

Faculty Credentials10%

Industry experience and research output

Program Resources10%

Technology labs, software access, and facilities

Complete Virginia Data Analytics Program Rankings

Rank
1Virginia TechBlacksburg$14,0008300%9400%$78,200
2Virginia Commonwealth UniversityRichmond$15,6007100%8900%$72,800
3George Mason UniversityFairfax$13,6007000%9100%$76,500
4University of VirginiaCharlottesville$17,3009500%8800%$74,200
5James Madison UniversityHarrisonburg$12,1008200%8500%$68,900
6Old Dominion UniversityNorfolk$11,6005400%8200%$65,400
7Virginia State UniversityPetersburg$9,8004300%7800%$61,200
#1

Virginia Tech

Blacksburg, Virginia โ€ข University

Program Highlights

  • โ€ข 94% employment rate within 6 months of graduation
  • โ€ข $78,200 average starting salary - highest in Virginia
  • โ€ข Partnership with 40+ Fortune 500 companies for internships and projects
  • โ€ข Option to specialize in cybersecurity analytics or business intelligence

Program Strengths

  • Advanced analytics curriculum covering machine learning, statistical modeling, and big data technologies
  • Corporate Research Center providing direct industry project experience
  • Strong alumni network in major tech companies including Amazon, Microsoft, and Capital One
  • State-of-the-art Torgersen Hall data science laboratories with enterprise-grade software

Why Ranked #1

Virginia Tech's data analytics program combines rigorous technical training with extensive industry partnerships, resulting in the highest employment rate among Virginia schools at 94%.

Student Reviews

"The hands-on projects with real companies gave me practical experience that made me stand out in job interviews."

โ€” Class of 2024 Graduate

"Virginia Tech's analytics program prepared me for everything from SQL optimization to machine learning deployment."

โ€” Current Data Scientist at Capital One

FactorVirginia TechVCUGeorge MasonUVA
Program Format
On-campus
Hybrid available
On-campus & online
On-campus
Industry Partnerships
40+ Fortune 500
Healthcare focus
DC tech corridor
Consulting firms
Specializations
Cybersecurity, BI
Healthcare analytics
Government analytics
Financial analytics
Research Opportunities
Extensive
Moderate
Government-focused
Academic research
Class Size
25-30 students
30-35 students
20-25 students
15-20 students

Data Analytics Program Admission Requirements in Virginia

Virginia data analytics programs maintain competitive admission standards, with most requiring strong mathematics backgrounds and demonstrated analytical thinking skills. Average GPA requirements range from 3.2 for state universities to 3.7 for top-tier programs like UVA.

Mathematics prerequisites typically include calculus I and II, statistics, and linear algebra. Computer science background is preferred but not always required, though familiarity with programming languages like Python or R strengthens applications significantly.

  • Minimum GPA: 3.0-3.7 depending on institution competitiveness
  • Required coursework: Calculus I & II, Statistics, Computer Science I recommended
  • Standardized tests: SAT 1200+ or ACT 26+ for most programs
  • Letters of recommendation: 2-3 from academic or professional sources
  • Personal statement highlighting analytical problem-solving experience

Virginia Tech and UVA require the most competitive credentials, while regional universities like ODU and JMU offer more accessible entry points for students building their quantitative skills. Transfer students from Virginia Community College System receive priority consideration and articulation agreements.

$72,400
Starting Salary
$105,000
Mid-Career
+35%
Job Growth
1,240
Annual Openings

Career Paths

Data Scientist

SOC 15-2051
+0.35%

Advanced analytics and machine learning model development for business insights and predictive analytics.

Median Salary:$142,000

Business Intelligence Analyst

+0.25%

Dashboard creation, reporting systems, and business performance analytics for executive decision-making.

Median Salary:$89,000

Market Research Analyst

+0.22%

Consumer behavior analysis, market trends research, and competitive intelligence for strategic planning.

Median Salary:$68,000

Operations Research Analyst

+0.23%

Process optimization, supply chain analytics, and operational efficiency improvement using mathematical methods.

Median Salary:$91,000

Security data analysis, threat detection, and incident response using analytics tools and techniques.

Median Salary:$107,000

Financial Analyst

+0.09%

Investment analysis, risk assessment, and financial modeling for banking, insurance, and investment firms.

Median Salary:$82,000
35% through 2032
Virginia Data Analytics Employment Growth

Source: Bureau of Labor Statistics Occupational Employment Projections

How to Choose Your Data Analytics Program in Virginia

Selecting the right data analytics program depends on your career goals, learning preferences, and geographic constraints. Virginia offers diverse options from research-focused universities to professionally-oriented programs with direct industry connections.

Students targeting careers in federal contracting or government analytics should prioritize programs with security clearance pathways and government partnerships. George Mason University and Virginia Tech offer specialized tracks in cybersecurity analytics that align with Northern Virginia's defense industry needs.

For healthcare analytics careers, VCU's program provides unique advantages through its medical school partnerships and hospital system access. Students can work on real clinical data projects and build networks within Virginia's growing health tech sector.

Budget-conscious students should compare total program costs including living expenses. While UVA offers prestige and strong alumni networks, regional universities like JMU and ODU provide excellent value with significantly lower tuition rates and comparable employment outcomes in many analytics roles.

Consider also exploring data science programs which often overlap significantly with data analytics but may offer different specialization tracks or industry connections. Many Virginia students also supplement their education with skills in cloud platforms and analytics certifications.

Which Should You Choose?

Virginia Tech
  • You want the highest employment rates and starting salaries
  • Industry partnerships and hands-on projects are priorities
  • You're interested in cybersecurity or business intelligence specializations
  • Research opportunities and graduate school preparation matter
VCU
  • Healthcare analytics and medical data interest you
  • You prefer Richmond's urban environment and internship opportunities
  • Hybrid learning options fit your schedule better
  • You want access to clinical and hospital data projects
George Mason
  • Location near DC tech corridor is important for networking
  • Government contracting and federal analytics appeal to you
  • You want both online and on-campus program flexibility
  • Security clearance pathways are valuable for your career
James Madison
  • You prioritize smaller class sizes and personal attention
  • Cost-effectiveness is a major consideration
  • A traditional college town atmosphere appeals to you
  • You want strong undergraduate focus rather than research emphasis

Virginia Data Analytics Programs FAQ

Next Steps: Applying to Virginia Data Analytics Programs

1

Research Program Requirements

Review admission requirements for your target schools, focusing on mathematics prerequisites and GPA standards. Most programs require calculus and statistics.

2

Strengthen Your Application

Take additional math courses if needed, gain programming experience through online courses, and seek internships or projects demonstrating analytical thinking.

3

Visit Campus and Connect

Attend information sessions, meet with admissions counselors, and connect with current students to understand program culture and opportunities.

4

Prepare Financial Aid Applications

Complete FAFSA applications early and research Virginia-specific scholarships and grants for STEM students through the state's financial aid programs.

5

Apply Early and Follow Up

Submit applications by priority deadlines, ensure all materials are complete, and maintain contact with admissions offices throughout the process.

Related Virginia Technology Programs

Data Sources and Methodology

Federal database of college costs, graduation rates, and post-graduation earnings

Occupational employment and wage statistics for data analytics roles

Virginia Higher Education Council

State-specific enrollment, graduation, and employment data for Virginia institutions

Institutional Research Offices

Direct program data from university institutional research and career services offices

Taylor Rupe

Taylor Rupe

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Taylor combines formal training in computer science with a background in human behavior to evaluate complex search, AI, and data-driven topics. His technical review ensures each article reflects current best practices in semantic search, AI systems, and web technology.