UTSA School of Data Science

What UTSA School of Data Science does

The College of AI, Cyber and Computing (CAICC) is an academic unit within The University of Texas at San Antonio (UTSA), established in 2023 by consolidating programs in artificial intelligence, cybersecurity, computing, and data science under a single college structure. UTSA itself was founded in 1969, and the college now spans four academic departments — Computer Engineering, Computer Science, Information Systems and Cybersecurity, and Statistics and Data Science — delivering 11 undergraduate programs and 12 graduate programs to more than 5,300 students. The college is located at the downtown San Antonio San Pedro I campus, with San Pedro II announced as a forthcoming expansion.

The portfolio covers the full educational stack: undergraduate and master's degrees, doctoral research programs, and graduate certificates, supported by research centers, institutes, labs, and Research Interest Groups. The USAA Student Success Center delivers mentoring, hands-on learning, and professional development, while external engagement is anchored by long-term partnerships with the U.S. Army (a 10-year research partnership announced in 2026-06), H-E-B (Community Innovation Scholars program, 2026-07), and USAA. The college publishes Los Datos Magazine and uses its website, news, and events as primary marketing and recruitment channels.

As a state-funded public university college within The University of Texas System, the entity operates as a government state entity with no venture, private equity, or individual ownership. Revenue derives from tuition and fees (governed by central UTSA administration), supplemented by state appropriations, research grants, and private donations; specific revenue figures are not publicly disclosed. Distribution of programs runs through the UTSA admissions portal (future.utsa.edu) and on-campus recruitment, with regional recruitment focused on the Southwest United States.

Name

UTSA School of Data Science

Legal name

The University of Texas at San Antonio

Website

https://sds.utsa.edu

Company type

Private

Founded year

1969

Operating status

Operating

Headcount range

11–50 employees

Short description

The College of AI, Cyber and Computing at UTSA is a public university academic unit delivering undergraduate, master's, doctoral, and certificate programs in AI, cybersecurity, computing, and data science to 5,300+ students from its downtown San Antonio campus, with applied research partnerships spanning the U.S. Army, H-E-B, and USAA.

Ownership category

akta.pro rank

Product category

Higher Education

NAICS

Colleges, Universities, and Professional Schools (6113), Colleges, Universities, and Professional Schools (61131)

SIC

Services-Educational Services (8200)

akta.pro primary industry

Technical Universities with Computing, Data & AI Focus (EDAHAEAK)

Keywords

• Data science education
• Artificial intelligence programs
• Cybersecurity degree
• Computer science programs
• Graduate certificates

Headquarters

HQ city

San Antonio

HQ country

United States

HQ region

North America

Offices2 records

Markets served

GTM type

B2C

Offering type

Services

Cost components

Personnel, Operations, Technology or R&D, Infrastructure, Marketing or Sales, Others

Revenue model

1. Tuition and Fees: As a public university college, revenue is generated primarily through tuition and fees from undergraduate and graduate students enrolled in AI, cybersecurity, computing, and data science programs.

Pricing tiers

Go-to-market motion1 record

Distribution channels2 records

Marketing channels3 records

Core offering

The College of AI, Cyber and Computing delivers higher-education academic programs in artificial intelligence, cybersecurity, computing, and data science spanning undergraduate degrees, master's degrees, doctoral research degrees, and graduate certificates across four departments. It also operates research centers, institutes, and labs, and supports students through the USAA Student Success Center, serving more than 5,300 students at its downtown San Antonio campus.

Product overview

The College of AI, Cyber and Computing at UT San Antonio is an academic institution offering a comprehensive portfolio of educational programs in artificial intelligence, cybersecurity, computing, and data science. The institution provides undergraduate programs, master's programs, doctoral programs, and graduate certificates across four academic departments (Computer Engineering, Computer Science, Information Systems & Cybersecurity, and Statistics & Data Science). The college operates research centers, institutes, and labs, and supports students through the USAA Student Success Center. Located in downtown San Antonio at the San Pedro I facility, the college serves over 5,300 students through 11 undergraduate programs and 12 graduate programs.

Differentiator

Problem solved

Functional benefit

Products and services

• Undergraduate Programs Undergraduate degree programs in artificial intelligence, cybersecurity, computing, and data science offered across four academic departments, providing bachelor's-level education and career preparation in tech-driven fields.
• Master's Programs Graduate-level master's degree programs in artificial intelligence, cybersecurity, computing, and data science disciplines providing advanced credentials for professional and research careers.
• Doctoral Programs Doctoral and research degree programs for advanced study and original research in artificial intelligence, cybersecurity, computing, and data science disciplines.
• Graduate Certificates Professional graduate certificates providing specialized, shorter-form training in artificial intelligence, cybersecurity, computing, and data science for working professionals.

Quantifiable outcome

• 5300+ students enrolled
• +1 more outcomes

Segments2 records

Ideal customer profiles2 records

Technology focussed No

API detail

Has API

No

API docs

API detail

Core technology

AI maturity

App detail

Partnerships

Three partnerships are on record, tiered core.

• H-E-BcoreStrategic or Co-development Partner · 1 July 2026H-E-B Community Innovation Scholars program enables data science students to help nonprofits solve pressing community challenges. Students gain hands-on experience while providing value to local community organizations.
• U.S. ArmycoreStrategic or Co-development Partner · 1 June 2026A new 10-year partnership with the U.S. Army creates a pathway for students to advance impactful research. This strategic partnership provides students with opportunities to engage in meaningful research initiatives and contributes to national defense and technology advancement.
• USAAcoreStrategic or Co-development PartnerUSAA Student Success Center provides resources including mentoring, hands-on learning, professional development, and support services that help students become confident, career-ready leaders in technology fields.

Scale indicators3 records

Recent moves5 records

Expansion highlights4 records

Broad incumbents

• Virginia Tech College of Engineering: Virginia Tech's computer science and cybersecurity programs compete for similar federal research dollars (including Army and DoD funding) and serve comparable student demographics at a public research university.
• Georgia Institute of Technology: Georgia Tech's College of Computing is a leading public research university with strong AI, cybersecurity, and data science programs serving a comparable tech-focused student base with a similar public-university model.
• Carnegie Mellon University: Carnegie Mellon's School of Computer Science is a global benchmark for AI, cybersecurity, and data science education and research, directly competing for the same faculty talent, students, and research funding as UTSA CAICC.
• University of Maryland, College Park (CMNS): UMD's College of Computer, Mathematical, and Natural Sciences is a leading public university in cybersecurity and AI with a strong federal proximity to defense and intelligence agencies, closely mirroring UTSA's defense-aligned positioning.
• University of California, Berkeley (EECS): UC Berkeley's EECS division is a leading public-university peer in AI, cybersecurity, and data science, competing for the same research funding pools and top-tier faculty candidates.
• The University of Texas at Austin: UT Austin's College of Natural Sciences and Department of Computer Science offer directly overlapping AI, data science, and cybersecurity programs within the same UT System, competing for system-level resources and top applicants in Texas.
• Stanford University (School of Engineering / CS Department): Stanford's CS and AI programs are the global benchmark for AI and data science education, competing for the same top faculty, research grants, and high-caliber applicants that UTSA CAICC must attract to scale.
• Texas A&M University Department of Computer Science and Engineering: Texas A&M's computing and data science programs are a direct in-state peer, competing for the same Texas applicant pool, state appropriations, and faculty with similar public-university positioning.
• Purdue University College of Science (Computer Science): Purdue's computer science and data science programs are direct public-R1 peers competing for similar industry partnerships, federal research dollars, and AI/cybersecurity students.
• University of Illinois Urbana-Champaign (Grainger College of Engineering): UIUC's School of Information Sciences and CS department are nationally ranked peers in data science, AI, and cybersecurity education at a public R1 university with comparable program breadth.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat4 records

Key risks6 records

Customer concentration

• LinkedInlinkedin.com/company/utsadata

Revenue estimate

Valuation estimate

Number of profiles

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about UTSA School of Data Science