Best Value CS Programs: Highest ROI 2025
Updated December 2025

Best Value CS Programs: Highest ROI 2026

Compare 742 computer science programs by return on investment, graduation rates, and career outcomes. Find the highest value CS degrees using IPEDS 2023 and BLS 2024 data.

Programs Analyzed742
Best ROI1,840%
Median Starting Salary$78,500
Avg Payback Period3.2 years
Key Takeaways
  • 1.Software Developers earn a median salary of $136,620 with 25% projected job growth through 2032 (BLS OES 2024)
  • 2.Top-ranked Computer Science programs include University of California-Berkeley, Cornell University, Columbia University in the City of New York based on graduation rates, program strength, and career outcomes
  • 3.Best value: University of California-Berkeley offers computer science education at $11,834/year with 96% graduation rate
  • 4.50 accredited Computer Science programs analyzed using IPEDS 2023 completion data
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Best Computer Science Programs - Top 10 Best Value

🥇

University of California-Berkeley

Berkeley, CAPublic

Berkeley EECS created BAIR, one of the world's most influential AI research labs, and maintains unique Silicon Valley connections where the most exceptional teachers are often also the most exceptional researchers, unlike many peer institutions.

Programs:PhD in Computer ScienceMS in Computer Science+2 more
$12K
Tuition/yr
96%
Grad Rate
100.0
Score

Program Overview

UC Berkeley's Computer Science program stands as one of the world's most prestigious and influential CS programs, housed within the Department of Electrical Engineering and Computer Sciences (EECS). The program offers multiple pathways including a PhD in Computer Science, MS in Computer Science, and the innovative one-year Master of Engineering (MEng) designed for industry professionals. Berkeley's CS program is uniquely positioned in the Bay Area, where regular faculty - many of whom are leading researchers - teach the majority of courses, ensuring students learn from the most exceptional minds in the field. The program spans cutting-edge research areas from artificial intelligence and robotics at the Berkeley Artificial Intelligence Research Lab (BAIR) to quantum computing at the Berkeley Quantum Information and Computation Center (BQIC). With over 200 graduate programs university-wide and consistently ranking among the top doctoral programs nationwide, Berkeley offers an unparalleled academic environment where students work alongside faculty on projects that cross disciplinary boundaries to improve everyday life.

Degree Programs

PhD in Computer Science
5-7 years typicalon-campus
MS in Computer Science
2 yearson-campus
Master of Engineering (MEng) in EECS
1 academic yearon-campus
MS/PhD in Computer Science
5-7 yearson-campus

Research Labs & Institutes

Berkeley Artificial Intelligence Research Lab (BAIR)

Brings together researchers across computer vision, machine learning, NLP, planning, and robotics with over two dozen faculty and hundreds of graduate students

Berkeley Quantum Information and Computation Center (BQIC)

Quantum information processing investigating computational tasks like integer factorization and secure quantum communication

Berkeley Laboratory for Information and System Sciences (BLISS)

Research center focused on communications, information and coding theory, optimization, statistics and control

Berkeley Laboratory for Usable and Experimental Security (BLUES)

Research at intersection of computer security, online privacy, and human-computer interaction

Berkeley Institute for Data Science (BIDS)

Brings together domain experts from life, social, and physical sciences with methodological experts from computer science and statistics

Industry Partners

Berkeley Deep Drive (BDD)Lawrence Berkeley National Laboratory

Admissions

GPA: 3.0 minimum for MEng program, 3.7 average for admitted students
Acceptance: 12% average for MEng program
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Cornell University

Ithaca, NYPrivate

Cornell uniquely offers both a fully-funded research MS in Ithaca with mandatory teaching experience and a one-year industry-focused MEng at Cornell Tech in NYC, where students build actual products for real companies through the first-of-its-kind Studio curriculum.

Programs:MS in Computer Science (Ithaca...Master of Engineering in Compu...+1 more
$65K
Tuition/yr
95%
Grad Rate
89.3
Score

Program Overview

Cornell University offers multiple pathways into computer science graduate education, each with distinct advantages for different career trajectories. The Master of Science in Computer Science, housed at Cornell's Ithaca campus, represents a highly selective, research-intensive program that combines advanced coursework with mandatory thesis research and teaching assistantships. This four-semester program requires 34 credit hours, including 6-12 credits of thesis research, and provides full funding through teaching assistantships for students maintaining good standing. In New York City, Cornell Tech offers a one-year Master of Engineering in Computer Science designed for immediate industry impact, featuring the innovative Studio curriculum where students build complete digital solutions for real companies in cross-disciplinary teams with business and law students.

The Ithaca MS program particularly appeals to self-motivated researchers who thrive in mentoring environments, as students gain valuable teaching experience with undergraduates while conducting specialized research. Cornell Tech's Manhattan location provides direct access to NYC's tech ecosystem, with students working on innovation challenges from real companies and learning from faculty with extensive industry experience. Both programs benefit from Cornell's broader research infrastructure, including world-class facilities like the Cornell Center for Advanced Computing and specialized research groups in artificial intelligence, security and privacy, and human-computer interaction.

Degree Programs

MS in Computer Science (Ithaca)
2 yearson-campus
Part-time: Not available
Master of Engineering in Computer Science (Cornell Tech)
1 yearon-campus
Part-time: Part-time option available
Special Master's in Computer Science
Variableon-campus
Part-time: Designed for concurrent PhD students

Research Labs & Institutes

Initiative for Cryptocurrencies & Contracts (IC3)

Blockchain science and cryptocurrency research

Digital Life Initiative (DLI)

Ethics, policy, and quality of life in socio-technical systems

People-Aware Computing Lab

Mobile sensing systems for capturing human context and activities

XR Collaboratory (XRC)

Augmented reality, virtual reality, and mixed reality research

Industry Partners

GoogleGrammarlyIBMBill & Melinda Gates Foundation

Admissions

Cohort Size: Small program with strong preference for Cornell undergraduates (MS program)
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Columbia University in the City of New York

New York, NYPrivate

Columbia CS uniquely combines Ivy League academic rigor with Manhattan's tech ecosystem, offering specialized pathways like the dual MS in Journalism and Computer Science and faculty-invite-only personalized tracks that leverage the university's position as a global research hub in one of the world's major technology centers.

Programs:MS in Computer ScienceDual MS in Journalism and Comp...+2 more
$65K
Tuition/yr
100%
Grad Rate
88.2
Score

Program Overview

Columbia University's Computer Science program sits at the heart of Manhattan's vibrant tech ecosystem, offering a comprehensive Master of Science degree that spans ten specialized pathways from Machine Learning to Computational Biology. The 30-credit program requires students to complete coursework at the 4000 level or above, with at least 6 points at the advanced 6000 level, while maintaining a 2.7 GPA. What sets Columbia apart is its faculty-determined pathway system that allows deep specialization in areas like Computer Security, Natural Language Processing, Vision Graphics Interaction and Robotics, and Software Systems, alongside unique offerings like the dual MS in Journalism and Computer Science.

The program leverages Columbia's position in New York City to provide unparalleled industry connections and career opportunities across multiple sectors. Students can participate in state-of-the-art research within the department's specialized labs and research groups, while the Columbia Video Network (CVN) option extends access to working professionals. The department also offers an innovative MS Bridge Program and maintains strong ties to Columbia Engineering's broader research ecosystem, including partnerships with the Data Science Institute and various interdisciplinary centers.

Degree Programs

MS in Computer Science
2 yearson-campus and online (CVN)
Part-time: Available through Columbia Video Network
Dual MS in Journalism and Computer Science
5 semesterson-campus
MS Bridge Program
2 yearson-campus
Computer Engineering MS
2 yearson-campus

Research Labs & Institutes

Machine Learning Research Groups

Artificial Intelligence and Machine Learning pathway research

Vision and Robotics Labs

Computer vision, graphics, interaction, and robotics research

Security and Privacy Research Groups

Computer security, privacy, and cryptography

Natural Language Processing Labs

Speech and language processing research

Industry Partners

New York City Tech Industry

Admissions

GPA: Minimum 2.7 GPA to maintain standing
#4

University of California-Irvine

Irvine, CAPublic

467 computer science graduates annually

$12K
Tuition/yr
96%
Grad Rate
87.0
Score
#5

University of Maryland-College Park

College Park, MDPublic

873 computer science graduates annually

$10K
Tuition/yr
84%
Grad Rate
85.7
Score
#6

University of California-Los Angeles

Los Angeles, CAPublic

340 computer science graduates annually

$12K
Tuition/yr
92%
Grad Rate
85.6
Score
#7

University of California-San Diego

La Jolla, CAPublic

UCSD's CS program uniquely combines access to the San Diego Supercomputer Center's national-scale computing infrastructure with an interdisciplinary curriculum option, while maintaining direct pathways for exceptional MS students to transition into the PhD program.

Programs:MS in Computer Science and Eng...MS in Computer Science and Eng...+2 more
$12K
Tuition/yr
81%
Grad Rate
84.7
Score
#8

University of Southern California

Los Angeles, CAPrivate

USC launched the School of Advanced Computing in 2024 as the university's 23rd school, making it the hub for advanced computing research across USC and positioning computer science at the center of an unprecedented interdisciplinary computing initiative.

Programs:MS in Computer Science (Genera...MS in Computer Science - Artif...+2 more
$67K
Tuition/yr
92%
Grad Rate
84.5
Score
#9

University of Washington-Seattle Campus

Seattle, WAPublic

UW Allen School uniquely eliminates the traditional standalone master's degree in favor of specialized pathways: a fully-funded Ph.D. track, an exclusive fifth-year master's for their own undergraduates, and a part-time professional program for regional tech workers, all housed in the state-of-the-art Paul G. Allen Center and Bill & Melinda Gates Center facilities.

Programs:Full-time Ph.D. ProgramCombined B.S./M.S. Program (Fi...+2 more
$12K
Tuition/yr
97%
Grad Rate
84.3
Score
#10

University of California-Santa Cruz

Santa Cruz, CAPublic

658 computer science graduates annually

$12K
Tuition/yr
93%
Grad Rate
83.0
Score

Best Computer Science Programs - Compare Top 5 Best Value

SchoolLocationTypeTuitionGrad RateScore
#1 University of California-Berkeley
Berkeley, CA
Public
$11,834
96%
100/100
#2 Cornell University
Ithaca, NY
Private
$65,204
95%
89.3/100
#3 Columbia University in the City of New York
New York, NY
Private
$64,526
1%
88.2/100
#4 University of California-Irvine
Irvine, CA
Public
$11,834
96%
87/100
#5 University of Maryland-College Park
College Park, MD
Public
$9,889
84%
85.7/100

Top 50 Computer Science Programs by ROI

Rank
1University of California-BerkeleyBerkeley, CAPublic
2Cornell UniversityIthaca, NYPrivate
3Columbia University in the City of New YorkNew York, NYPrivate
4University of California-IrvineIrvine, CAPublic
5University of Maryland-College ParkCollege Park, MDPublic
6University of California-Los AngelesLos Angeles, CAPublic
7University of California-San DiegoLa Jolla, CAPublic
8University of Southern CaliforniaLos Angeles, CAPrivate
9University of Washington-Seattle CampusSeattle, WAPublic
10University of California-Santa CruzSanta Cruz, CAPublic
11University of North Carolina at Chapel HillChapel Hill, NCPublic
12University of California-DavisDavis, CAPublic
13Brown UniversityProvidence, RIPrivate
14Princeton UniversityPrinceton, NJPrivate
15Carnegie Mellon UniversityPittsburgh, PAPrivate
16Vanderbilt UniversityNashville, TNPrivate
17California Polytechnic State University-San Luis ObispoSan Luis Obispo, CAPublic
18University of Massachusetts-AmherstAmherst, MAPublic
19Oregon State UniversityCorvallis, ORPublic
20Purdue University-Main CampusWest Lafayette, INPublic
21Washington University in St LouisSaint Louis, MOPrivate
22Tufts UniversityMedford, MAPrivate
23Massachusetts Institute of TechnologyCambridge, MAPrivate
24University of California-Santa BarbaraSanta Barbara, CAPublic
25Stanford UniversityStanford, CAPrivate

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Computer Science ROI Overview: Public Programs Lead Value Rankings

Computer science offers exceptional return on investment, but program costs vary dramatically. Our analysis of 742 ABET-accredited programs reveals that public universities consistently deliver the highest ROI, with top programs generating over 1,800% returns based on IPEDS 2023 cost data and BLS 2024 salary outcomes.

The highest value programs combine affordable tuition with strong career outcomes. University of Texas at Austin leads with 1,840% ROI, while Georgia Tech and University of Washington round out the top three. These programs demonstrate that prestigious CS education doesn't require private school pricing.

Value extends beyond tuition costs. Top ROI programs offer strong career outcomes, with graduates earning -$102,000. Combined with graduation rates above 85%, these programs provide both educational quality and financial returns that justify the investment.

$78,500
Starting Salary
$165,000
Mid-Career
+0.25%
Job Growth
162,900
Annual Openings

Career Paths

+0.25%

Design, develop, and maintain software applications and systems. Most common career path for CS graduates.

Median Salary:$130,160

Data Scientist

SOC 15-2051
+0.35%

Analyze complex data to extract insights and build predictive models for business decisions.

Median Salary:$129,890

AI/ML Engineer

SOC 15-1299
+0.32%

Develop artificial intelligence and machine learning systems and algorithms.

Median Salary:$148,140

DevOps Engineer

SOC 15-1244
+0.28%

Bridge development and operations teams, focusing on automation and infrastructure.

Median Salary:$120,520
+0.32%

Protect computer systems and networks from security threats and breaches.

Median Salary:$109,170

Value Programs by State

Financial Aid Strategies for Value Programs

Public universities offer additional value through generous financial aid and scholarship programs. In-state residents benefit from state grants and need-based aid that can reduce costs by 30-50%. Merit scholarships are also more accessible at public institutions compared to highly selective private schools.

Work-study programs and research assistantships provide both financial support and valuable experience. Many value programs offer paid undergraduate research opportunities that private schools reserve for graduate students. These experiences enhance both education quality and financial aid packages.

Detailed Program Analysis: Top Value Leaders

The following spotlights examine the top 5 value programs in detail, analyzing their unique strengths, student outcomes, and why they deliver exceptional ROI. Each program combines affordable pricing with strong career preparation and industry connections.

Detailed Program Analysis: Top Value Leaders

The following spotlights examine the top 5 value programs in detail, analyzing their unique strengths, student outcomes, and why they deliver exceptional ROI. Each program combines affordable pricing with strong career preparation and industry connections.

Choose Your Program Based on Your Profile

University of Texas at Austin
  • You qualify for Texas residency
  • You want maximum ROI (1,840%)
  • Austin's startup ecosystem appeals to you
  • You prefer a large research university environment
  • You want strong alumni networks in both tech hubs and Texas
University of Washington
  • You want direct access to Amazon/Microsoft
  • Seattle's tech scene interests you
  • You prefer a collaborative, less competitive environment
  • Research in AI or systems is important
  • You can handle the competitive admission process
Georgia Institute of Technology
  • You want top-5 program quality at public prices
  • Atlanta's growing tech sector appeals to you
  • You thrive in rigorous academic environments
  • Research opportunities are important
  • You want excellent job placement (96%)
UC San Diego
  • You can afford higher UC tuition ($57K total)
  • Biotech/AI intersection interests you
  • You prefer California lifestyle and climate
  • Research in emerging fields is priority
  • You want highest starting salaries ($105K)

Frequently Asked Questions About Value CS Programs

Ranking Methodology

Based on 742 programs from IPEDS 2023, BLS OES May 2024

Program Strength35%

Computer Science degree completions indicating program size, faculty, and resources

Graduation Rate25%

6-year completion rate from IPEDS 2023 (4-year institutions weighted higher)

Selectivity20%

Admission rate from IPEDS 2023 (lower = more selective)

Career Outcomes20%

State-specific computer science salaries from BLS OES 2024

Data Sources & Methodology

Tuition, graduation rates, and institutional characteristics for all 742 ABET-accredited CS programs

Occupational employment and wage statistics for software developers and related CS careers

Starting and mid-career salary data for CS graduates by institution

Graduate earnings and debt levels by program and institution

Taylor Rupe

Taylor Rupe

Full-Stack Developer (B.S. Computer Science, B.A. Psychology)

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.