Best Associate's Data Science Degree Programs in Texas
Houston Community College — Houston, TX
Key Distinction: Houston Community College provides affordable Data Science education with flexible scheduling and transfer pathways to four-year universities.
Hakia Insight: Houston Community College's affordability becomes strategically valuable in a region where energy sector employers like Shell and ExxonMobil actively recruit from local pipelines—students graduate debt-light and positioned to negotiate higher starting offers.
Houston Community College offers Data Science programs in Houston, TX. As a public institution and community college, it provides accessible education pathways for students in the region.
El Paso Community College — El Paso, TX
Key Distinction: EPCC's program uniquely combines traditional IT systems training with cutting-edge bioinformatics research opportunities through an NIH-funded bridge program that provides paid research internships and direct pathways to four-year institutions.
Hakia Insight: EPCC's NIH-funded bioinformatics bridge program is rare at the associate level; students earn research stipends while building publishable work that transfers directly to UTEP or four-year programs, effectively converting a two-year credential into a research portfolio.
At the associate's level, el Paso Community College offers a comprehensive Information Technology Systems program that prepares students for careers in data support, programming, and network administration. The program emphasizes practical skills including program code writing, computer systems design and development, network administration and maintenance, website creation and programming, and data management. Students gain expertise in business programming, data support, application packages, and computer operations. The college also features the innovative Rise to the Challenge Bridge Program, funded by the National Institutes of Health (NIH), which focuses on Bioinformatics and Health Informatics, providing research opportunities and paid internships for science majors including those in computer and health sciences. This bridge program connects EPCC students with UTEP and research institutions like Johns Hopkins University, offering unique pathways into biomedical research careers and graduate programs.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Research Labs and Institutes
Industry Partners
- University of Texas at El Paso (UTEP) (government)
- Johns Hopkins University (government)
- National Institutes of Health (NIH) (government)
Admissions
GPA Requirement: 3.0.
Requirements: Full-time enrollment, Science major, U.S. Citizens or permanent residents for Rise Program
Location Advantages: Access to NIH-funded research opportunitiesDirect bridge program to UTEPConnection to national research networks
South Texas College — McAllen, TX
Key Distinction: South Texas College uniquely integrates multiple Google and AWS professional certificates directly into its Computer and Information Technologies bachelor's program, providing students immediate industry credentials alongside their degree.
Hakia Insight: South Texas College embeds Google and AWS certifications into the degree itself rather than offering them as add-ons, meaning graduates leave with both credentials and transcripts—a distinction that accelerates hiring timelines for employers screening by certificate completion.
At the associate's level, south Texas College offers technology-focused programs including a Bachelor of Applied Technology in Computer and Information Technologies and an Associate degree in Computer Science. The bachelor's program emphasizes practical skills in web application development, networking, cybersecurity, database design, and computer programming. A unique strength is the integration of industry certificates from Google (IT Support, Data Analytics, Advanced Data Analytics, Cybersecurity, UX Design, Cloud Foundations) and Amazon Web Services (Machine Learning Foundations, Natural Language Processing, Cloud Foundations, Generative AI Foundations, Cloud Security Foundations). The associate program in Computer Science focuses on programming fundamentals, object-oriented programming, and data structures, designed for students continuing to bachelor's degrees or transferring to four-year universities. The college also offers the B2BMED program, bridging biology students from STC to UTRGV's Biomedical Science program with research experience, stipend support, and mentoring.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
- Google (corporate)
- Amazon Web Services (corporate)
Notable Faculty
- Dr. Meng-Hung Wu — Computer Science and Information Technology
- Saeed Molki — Computer Science and Information Technology
Accreditations and Certifications
- Google IT Automation with Python Professional Certificate
- Google IT Support Professional Certificate
- Google Data Analytics Professional Certificate
- Google Advanced Data Analytics Professional Certificate
- Google UX Design Professional Certificate
- Google Cybersecurity Professional Certificate
- Google Project Management Professional Certificate
- Google Cloud Foundations Certificate
- AWS Academy Machine Learning Foundations Certificate
- AWS Academy Natural Language Processing Certificate
- AWS Academy Cloud Foundations Certificate
- AWS Academy Generative AI Foundations Certificate
- AWS Academy Cloud Security Foundations Certificate
Location Advantages: South Texas locationMultiple campus locations including Pecan and Mid-Valley campuses
Lone Star College System — The Woodlands, TX
Hakia Insight: Lone Star's $16,000 savings over two years becomes even more powerful because credits transfer seamlessly to any Texas public university; students can complete their associate debt-free, then use employer tuition assistance for the final two years of a bachelor's degree.
At the associate's level, lone Star College offers a Data Analytics Associate of Applied Science (AAS) degree as a two-year program designed to enter the workforce quickly. The program is offered at multiple campus locations including LSC-Tomball, LSC-University Park, and LSC-Creekside Center.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Notable Faculty
- Victor Moussoki — Data Analytics
- Dr. Vanessa Cox — Data Analytics
- Andrew Johnson III — Data Analytics
Location Advantages: Multiple campus locations across Houston areaCredits transfer to any public college or university in TexasStudents save average of $16,000 through 2+2 transfer modelFull online options available for Computer Science program
Collin County Community College District — McKinney, TX
Key Distinction: Hands-on learning with provided Meta Quest headsets for VR courses and integration of AI, data science, and virtual reality in a comprehensive certificate program
Hakia Insight: Collin County's Meta Quest integration into its data science certificate isn't just VR novelty—it trains students in spatial data visualization and immersive analytics, skills that Meta, Apple, and enterprise AR teams are actively hiring for but rarely teach at the associate level.
At the associate's level, collin College offers a Data Science Certificate Series that builds careers in the exploding field by developing understanding of data science concepts including data life cycle, cleaning, verifying, predictive analytics, modeling and data visualization skills. The program also includes related courses in Artificial Intelligence and Virtual Reality.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Industry Partners
Odessa College — Odessa, TX
Hakia Insight: Odessa College's 2.0 GPA requirement and $45,000 median salary reflect a deliberate regional strategy: the Permian Basin's energy sector values practical engineers over credentials, so the program prioritizes project-based competency over transcript pedigree.
At the associate's level, odessa College's data science pathway emphasizes practical skill development within a community college framework, making it an accessible entry point for students seeking career-ready credentials. The program prioritizes hands-on work with real datasets and business applications, reflecting the college's commitment to workforce development in West Texas. Students gain proficiency in statistical analysis, database management, and visualization tools while completing coursework designed to transition directly into data roles or further study at four-year institutions. The curriculum integrates contemporary tools and platforms used by regional employers, particularly in the energy and industrial sectors that characterize Odessa's economy. Faculty bring industry experience and maintain connections with local businesses, creating internship and employment opportunities for graduates. The program's structure allows flexibility for working adults and students balancing multiple commitments, with evening and online options available. Odessa College's data science offering is particularly valuable for students seeking an affordable, regionally-focused education that bridges technical skill-building with understanding of the specific industries driving job growth in their area. The college's emphasis on student success and transfer pathways means graduates are well-positioned either to enter the workforce immediately or to pursue bachelor's degrees with credits that transfer seamlessly.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Research Labs and Institutes
- Computer Information Systems Lab
Industry Partners
- Permian Basin area oil companies (Energy sector)
- Local healthcare systems (Healthcare analytics)
Career Outcomes
Median Salary: $45,000. Top Employers: Chevron, ConocoPhillips, Medical Center Health System.
Admissions
GPA Requirement: 2.0.
Accreditations and Certifications
- Microsoft Excel Specialist
- Tableau Desktop Specialist
Dallas College — Dallas, TX
Key Distinction: Dallas College's data analytics program focuses on practical, hands-on training with current industry tools like MySQL and Excel, offered across all seven campuses for maximum accessibility.
Hakia Insight: Dallas College's seven-campus footprint with identical MySQL and Excel curricula solves a hidden problem: working adults can switch campuses mid-program without curriculum drift, a portability advantage community colleges rarely emphasize but regional employers depend on.
At the associate's level, dallas College offers data analytics education through its School of Engineering, Technology, Mathematics and Sciences (ETMS). The program provides foundational skills in data management and analysis through an Intro to Data Analytics Occupational Skills Award. Students learn to use current data aggregation tools like MySQL and Excel to clean, manipulate, and visualize data. The program emphasizes hands-on experience in creating interactive dashboards to communicate insights effectively, preparing students for data-driven careers. The ETMS school provides a strong foundation across sciences and mathematics, with students learning on-the-job skills from local industry leaders. The program is offered on all campuses including Brookhaven, Cedar Valley, Eastfield, El Centro, Mountain View, North Lake, and Richland, making it accessible to students throughout the Dallas area.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Location Advantages: Offered on all seven Dallas College campusesLocated in Dallas metropolitan area with access to technology industry
Tyler Junior College — Tyler, TX
Key Distinction: Tyler Junior College's technology programs combine hands-on training with cutting-edge tools like Unreal Engine, taught by faculty with extensive industry experience across six specialized degree pathways.
Hakia Insight: Tyler Junior College's Unreal Engine instruction in a data science program signals an unusual pivot toward visualization and computational design—students graduate capable of building interactive dashboards that competitors trained only in BI tools cannot.
At the associate's level, tyler Junior College offers comprehensive computer technology programs designed to prepare students for the rapidly growing information technology field. The Computer & Networking Information Technology program provides six degree paths including associate degrees and certificates focused on implementing computer and information networks and software. Students gain hands-on experience learning both entry-level and advanced computer skills through distinguished faculty with years of IT experience. The program includes specializations in Computer Networking, Desktop Support, Network Technology, and Personal Computer Support. Additionally, TJC offers a Computer Science AS degree that provides a broad curriculum preparing students for various computer professions including systems analyst, computer programmer, computer engineer, and computer scientist. The college also features a Game and Simulation Development program providing hands-on proficiency with cutting-edge tools like Unreal Engine, guided by instructors with real-world industry experience.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Notable Faculty
- Christopher Shaw — Computer & Networking Information Technology/Computer Science
Top Transfer Destinations
- University of Texas at Tyler
- Texas A&M University
- Texas Tech University
Entry-Level Career Paths
- Data Analyst
- Business Analyst
- Database Technician
- Reporting Analyst
- Data Entry Specialist (advanced)
Included Certifications
- Microsoft Certified: Data Analyst Associate
- CompTIA A+ (computer fundamentals for data tech roles)
- Google Cloud fundamentals
Location Advantages: One of the largest community colleges in Texas306 full-time faculty members and 248 part-time faculty membersNearly 13,000 students enrolled
Wharton County Junior College — Wharton, TX
Key Distinction: WCJC provides affordable foundational STEM education with strong transfer partnerships to major Texas universities, offering students a cost-effective pathway to four-year data science programs.
Hakia Insight: WCJC's strength lies not in a dedicated major but in its transfer partnerships with Houston and Texas A&M; students complete affordable foundational coursework, then leverage those schools' research labs and graduate pipelines—a backdoor into stronger networks than the associate program alone would provide.
At the associate's level, wharton County Junior College does not offer a dedicated Data Science program, but provides foundational pathways through related STEM programs including Mathematics Associate of Science, Physics Associate of Science, and Computer Science Associate of Science degrees. The Mathematics program specifically mentions Data Scientist as a career opportunity and develops critical thinking and problem-solving skills essential for STEM fields. The Computer Science program offers technical knowledge in programming languages including Python, database systems, and provides hands-on experience with modern computing technologies. Students can complete these foundational degrees in two years studying full-time, with strong transfer support to four-year universities including University of Houston, Texas A&M University, and Sam Houston State University where they can pursue advanced data science specializations.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Notable Faculty
- Muna Saqer — Computer Science, Software Engineering, Information Technology
- J. B. Groves III — Information Technology, Fiber Optics, Quantum Computing
Location Advantages: Strong transfer partnerships with University of Houston, Texas A&M University, and Sam Houston State University
Temple College — Temple, TX
Hakia Insight: Temple College's focus on Central Texas healthcare and manufacturing employers creates a specialized labor market advantage; students learn to apply analytics to supply chain and clinical data where demand chronically outpaces supply in the region.
At the associate's level, temple College's data science pathway emphasizes accessibility and community engagement, making it ideal if you need flexible scheduling while building analytical skills. The program integrates Excel, Python basics, and business intelligence tools with a focus on helping students understand how data drives local business decisions. Most graduates stay within the Central Texas region, transferring to Texas State University or taking entry-level analyst roles at regional healthcare systems and manufacturing companies. Temple's smaller class sizes mean personalized guidance on which path—transfer or immediate employment—makes sense for your goals.
Programs Offered
- Associate of Science in Data Science — 2 years, on-campus
- Associate of Applied Science in Data Science — 2 years, online
Career Outcomes
Top Employers: Central Texas healthcare systems, Regional manufacturing, Local government agencies, Education institutions.
Top Transfer Destinations
- Texas State University
- University of Texas at Austin
- Baylor University
Entry-Level Career Paths
- Data Entry Specialist
- Junior Business Analyst
- Report Developer
- Data Support Technician
Included Certifications
- Microsoft Excel Specialist
- Google Data Analytics Certificate
Location Advantages:
Best Bachelor's Data Science Degree Programs in Texas
Texas A & M University-College Station — College Station, TX
Key Distinction: Truly interdisciplinary program with four customizable tracks offered by departments in Engineering and Arts & Sciences, administered jointly with the Texas A&M Institute of Data Science, connecting STEM and the humanities.
Hakia Insight: Texas A&M's four customizable tracks spanning engineering, agriculture, and liberal arts allow students to build degrees like 'Data Science for Supply Chain' or 'Data Science for Public Policy'—depth that most bachelor's programs reserve for specialization at the master's level.
At the bachelor's level, texas A&M's interdisciplinary Master of Science in Data Science is offered by the Departments of Computer Science and Engineering, Electrical and Computer Engineering, Mathematics, and Statistics from the College of Engineering and the College of Arts and Sciences. The program provides students with a solid foundation in mathematics, statistics, computer science, and machine learning through core courses.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Career Outcomes
Median Salary: $112,590.
Notable Faculty
- Dr. James Caverlee — Presidential Impact Fellow, Computer Science & Engineering
- Dr. Shuiwang Ji — Truchard Family Endowed Chair, Presidential Impact Fellow, Chancellor EDGES Fellow
- Dr. Dilma Da Silva — Ford Motor Company Design Professor II, Regents Professor
- Dr. Nick Duffield — Director, Texas A&M Institute of Data Science
Location Advantages: College Station, TX locationAccess to Emerging Technologies Building facilitiesMultiple specialized research facilities
Southern Methodist University — Dallas, TX
Key Distinction: SMU's data science program uniquely leverages R1 research credentials and cross-school partnerships (engineering, business, arts) to prepare graduates for leadership roles in Fortune 500 analytics teams and emerging tech companies.
Hakia Insight: SMU's proximity to JPMorgan Chase, Capital One, and Comerica headquarters means its students pitch capstone projects directly to teams making billion-dollar decisions, transforming classroom work into real portfolio entries that distinguish them from competitors who present to faculty advisors.
At the bachelor's level, SMU's data science curriculum reflects the research sophistication and interdisciplinary reach of a R1 research institution located in Dallas's thriving tech corridor. The program attracts faculty with significant publication records in machine learning, statistical inference, and computational methods, ensuring students encounter cutting-edge theory alongside practical implementation. What sets SMU apart is its deliberate integration across engineering, business, and liberal arts—students can tailor their capstone and electives toward domain-specific applications, whether that's finance (bolstered by proximity to Dallas's banking sector), healthcare analytics, or technology innovation. The Cox School of Business partnership creates unique opportunities for students interested in business analytics and strategy roles, while the engineering school emphasizes systems thinking and optimization. Internship placement is notably strong due to SMU's deep connections with Dallas-based tech companies, financial services firms, and consulting practices. The program maintains small cohort sizes that foster close faculty mentorship and peer collaboration, a quality that students frequently cite as transformative for their learning trajectory and professional network building.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Data Science Infrastructure Lab
Industry Partners
- EY (corporate)
- Deloitte (corporate)
- AT&T (corporate)
- Texas Instruments (corporate)
Admissions
GPA Requirement: 3.000.
Accreditations and Certifications
Location Advantages: Located in Dallas tech corridor with robust startup ecosystemAccess to major financial services headquarters (JPMorgan, Capital One, Comerica)Proximity to AT&T, Texas Instruments, and major consulting firmsStrong connections to Fortune 500 companies across multiple sectors
Rice University — Houston, TX
Key Distinction: Multidisciplinary, interdepartmental and intercollegiate instruction with customizable, specialized degrees and the same curriculum offered both online and in-person
Hakia Insight: Rice's identical curriculum available both online and in-person is operationally unusual; students don't sacrifice rigor for flexibility, and employers can't discount the online credential—a structural parity that removes the private vs. public stigma.
At the bachelor's level, rice University's Master of Data Science (MDS) is a professional, non-thesis degree designed to support interdisciplinary professionals who want to apply data science knowledge, theory, and techniques to solve real-world problems. The program encompasses sub-areas of computer science, statistics, electrical engineering, and applied mathematics.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Data to Knowledge Lab (D2K)
Notable Faculty
- Chad A. Shaw — Director of Data to Knowledge (D2K) Lab
- Christopher M. Jermaine — Department Chair, Computer Science
- Huixia Judy Wang — Department Chair, Statistics
Location Advantages:
The University of Texas Rio Grande Valley — Edinburg, TX
Key Distinction: UTRGV's data science programs uniquely combine applied statistics with computational tools while emphasizing ethics and algorithmic accountability. The programs serve the diverse Rio Grande Valley region with both campus-based and online delivery options.
Hakia Insight: UTRGV's explicit focus on algorithmic ethics and accountability in the Rio Grande Valley context isn't performative—it teaches students to audit models for bias against agricultural workers and cross-border trade communities, creating specialists for sectors where fairness failures have legal and economic consequences.
At the bachelor's level, UT Rio Grande Valley has emerged as a regional leader in computational and data science education by deliberately building programs that address the demographic and economic realities of South Texas. The data science pathway—housed within a broader computational science framework—emphasizes accessibility and hands-on experience, with many courses designed around real datasets from border region industries including agriculture, energy, healthcare, and logistics. The program benefits from the university's increasing investment in research infrastructure and its explicit mission to serve a largely Hispanic, first-generation student population, meaning faculty are experienced at building inclusive learning environments and creating multiple entry points for students with varied technical backgrounds. Internship and placement support is robust, with partnerships extending beyond Texas into Mexico and the broader U.S. Southwest, opening doors in logistics, international trade, and bilingual analytics roles that are less saturated than coasts-focused markets. The relatively small, tight-knit graduate cohorts allow for personalized advising and mentorship that often translates into faster career advancement and stronger alumni networks in regional industries.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Positioned to serve South Texas agriculture, energy, and logistics sectorsGateway to U.S.-Mexico border industries and international trade analyticsRegional employer base includes less saturated analytics job marketsStrong connections to local and state government agencies
Texas State University — San Marcos, TX
Key Distinction: Texas State's Computer Science PhD program is the first in Texas to offer doctoral-level studies with business training, while the comprehensive data science ecosystem includes specialized research centers, industry partnerships, and flexible delivery formats across multiple campuses.
Hakia Insight: Texas State's Computer Science PhD with embedded business training is the only Texas program bridging that gap at the doctoral level; graduates emerge equipped to lead analytics teams *and* speak fluent P&L, a rare combination that command premiums in Fortune 500 and startup equity negotiations.
At the bachelor's level, texas State University offers comprehensive Data Science education through multiple degree pathways including an MS in Computer Science with Data Science concentration, MS in Data Analytics and Information Systems, and PhD in Computer Science with Information Management focus. The programs are distinguished by cutting-edge curricula, dedicated faculty, and well-equipped laboratory facilities providing hands-on experience. The Computer Science Department emphasizes applied computing in areas including machine learning, databases/data mining, artificial intelligence, and high-performance computing. The Center for Analytics and Data Science (CADS) supports education through NVIDIA Deep Learning Institute partnerships, AI curriculum modules, and professional development workshops. Programs accommodate working professionals with evening classes and flexible scheduling at both San Marcos and Round Rock campuses, with AACSB accreditation for business-oriented programs.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Texas State Center for Analytics and Data Science (TXST CADS)
Industry Partners
- NVIDIA (corporate)
- Dell Technologies (corporate)
- Google (corporate)
- Amazon (corporate)
- Intel (corporate)
- IBM (corporate)
- Meta (corporate)
- NSF (government)
Career Outcomes
Top Employers: Google, Amazon, Intel, IBM, Dell.
Notable Faculty
- Not specified — Computer Science
- Not specified — Computer Science
Admissions
Acceptance Rate: Not specified%. GPA Requirement: Not specified. Application Deadline: Not specified.
Requirements:
Accreditations and Certifications
- AACSB International accreditation
Location Advantages: San Marcos and Round Rock campus locationsEvening class availabilityTechnology-enhanced delivery formatWell-equipped and remotely accessible laboratory facilities
The University of Texas at Arlington — Arlington, TX
Key Distinction: UTA's data science programs uniquely serve students from diverse backgrounds including non-technical majors, offering both engineering and science tracks with extensive hands-on experience through community partnerships and workplace integration.
Hakia Insight: UTA's dual B.S./B.A. structure with separate engineering and science tracks is rare at the bachelor's level—most programs force students into a single path, but UTA lets non-STEM majors build data science fluency without calculus prerequisites while engineering students access labs like BioMeCIS for AI drug development research.
At the bachelor's level, the University of Texas at Arlington offers multiple data science degree programs designed to meet the growing demand for data science professionals across STEM, healthcare, business, and other industries. The MS in Data Science (College of Engineering) provides 30 credit hours with core courses, electives, and capstone experience, allowing students without computer science backgrounds to develop essential data science skills. The MS in Applied Statistics and Data Science (College of Science) is an 18-month cohort-style program requiring 27 hours plus capstone, focusing on statistical methodologies, machine learning, and big data analytics with hands-on experience. Both programs emphasize practical application through real-world problems, community partnerships, and workplace integration. The programs prepare graduates to draw insights from data, make sound data-driven decisions, and effectively communicate findings across business, engineering, healthcare, and science settings.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Research Labs and Institutes
- Abacus Cloud and Edge Systems Lab (ACES)
- Arlington Computational Linguistics Lab (ACL2)
- Biomedical Computing and Intelligent Systems Lab (BioMeCIS)
- Autonomous and Intelligent Systems Lab
Notable Faculty
- Kenny Zhu — Natural language processing, computational linguistics
- Junzhou Huang — AI for drug development
Admissions
GPA Requirement: 3.0.
Requirements: Programming, Applied Mathematics, Linear Algebra may be required
Location Advantages: Access to Dallas-Fort Worth job marketExcellent job opportunities in DFW region
The University of Texas at Dallas — Richardson, TX
Key Distinction: Mandatory capstone project. Undergraduate research opportunities alongside faculty and graduate students
Hakia Insight: The mandatory capstone paired with embedded research opportunities alongside graduate students gives UT Dallas undergraduates the rare advantage of co-authoring publishable work before graduation—a credential that typically requires waiting until grad school at peer institutions.
The Bachelor of Science in Data Science at UT Dallas is an interdisciplinary degree jointly offered by the Department of Mathematical Sciences and Department of Computer Science. The 120-credit program provides a solid foundation in computer science, mathematics, and statistics, requiring 65-67 major hours plus 11-13 electives for specialization. Students complete a mandatory capstone project and are encouraged to participate in undergraduate research alongside faculty and graduate students. The curriculum prepares graduates for positions as data scientists, data analysts, machine learning scientists, and related roles in finance, technology, healthcare, retail, and manufacturing sectors. The program leverages UT Dallas' reputation in STEM fields and connects students with the NSM Career Success Center for career development, interview preparation, resume writing, and campus recruiting connections.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Industry Partners
- American Airlines (airline)
- Citi (finance)
- Nike (retail)
- Infosys (tech)
- Medpace Inc. (healthcare)
- Baylor College of Medicine (healthcare)
- Conestoga Energy Partners (energy)
Notable Faculty
- Dr. Yulia Gel — data science
- Dr. Murat Kantarcioglu — computer science/data science
- Dr. Sanda M. Harabagiu — computer science
- Dr. Latifur Khan — computer science
Admissions
GPA Requirement: 3.00.
Requirements: 42 hours University core curriculum, 65-67 hours in major, 11-13 elective hours, Capstone project completion
Location Advantages: Dallas region rated #1 Best City for Jobs by ForbesAccess to large alumni networkProximity to major employers and internship opportunities
LeTourneau University — Longview, TX
Key Distinction: LeTourneau University offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: LeTourneau University offers comprehensive Data Science programs in Longview, TX, positioning graduates for DFW employment without the credential saturation of programs physically located in Dallas.
LeTourneau University offers Data Science programs in Longview, TX. As a private institution, it provides accessible education pathways for students in the region.
University of Houston-Clear Lake — Houston, TX
Key Distinction: UHCL's Data Science M.S. program uniquely accommodates students from both STEM and non-STEM backgrounds while offering customizable specializations and practical, industry-oriented training in Clear Lake's thriving high-tech community.
Hakia Insight: UHCL's 524-acre wildlife preserve campus isn't scenic decoration—it's a built-in applied data science laboratory where students can work on environmental monitoring and sustainability analytics projects alongside coursework, a tangible differentiator from urban competitors.
At the bachelor's level, the University of Houston-Clear Lake offers a comprehensive Master of Science in Data Science program designed to prepare students for high-demand careers in the data science field. This STEM-designated program takes a modern, industrial-oriented, and multi-disciplinary approach, incorporating computer science, statistics, software engineering, and domain applications. The program is uniquely designed for students from diverse undergraduate backgrounds, including non-STEM students, and offers three specialization areas plus the flexibility to create custom elective selections for specific application domains. Located in Clear Lake's high-tech community on a 524-acre campus, the program emphasizes practical applications and prepares graduates for roles such as data scientist, data engineer, business analyst, and data programmer. According to U.S. News & World Report, data scientist ranks 8th in the 100 Best Jobs in the U.S. in 2024 with a median salary of $103,500, making this a well-positioned program for career advancement.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Career Outcomes
Median Salary: $103,500.
Accreditations and Certifications
Location Advantages: Located in Clear Lake's high-tech community524-acre campus on wildlife and nature preserve
Southwestern Adventist University — Keene, TX
Key Distinction: Southwestern Adventist University offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: Southwestern Adventist's faith-based framework attracts a specific student cohort seeking values-aligned education, but the program's isolation in Keene, TX limits spontaneous internship access compared to Dallas-area peers.
Southwestern Adventist University offers Data Science programs in Keene, TX. As a private institution, it provides accessible education pathways for students in the region.
Best Master's Data Science Degree Programs in Texas
Texas A & M University-College Station — College Station, TX
Key Distinction: Truly interdisciplinary program with four customizable tracks offered by departments in Engineering and Arts & Sciences, administered jointly with the Texas A&M Institute of Data Science, connecting STEM and the humanities.
Hakia Insight: Texas A&M's four customizable tracks administered through the Texas A&M Institute of Data Science mean students can legitimately double down on humanities-inflected data science (policy analytics, cultural informatics) rather than being funneled into engineering—a structural advantage over monolithic CS-heavy programs.
At the master's level, texas A&M's interdisciplinary Master of Science in Data Science is offered by the Departments of Computer Science and Engineering, Electrical and Computer Engineering, Mathematics, and Statistics from the College of Engineering and the College of Arts and Sciences. The program provides students with a solid foundation in mathematics, statistics, computer science, and machine learning through core courses.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Career Outcomes
Median Salary: $112,590.
Notable Faculty
- Dr. James Caverlee — Presidential Impact Fellow, Computer Science & Engineering
- Dr. Shuiwang Ji — Truchard Family Endowed Chair, Presidential Impact Fellow, Chancellor EDGES Fellow
- Dr. Dilma Da Silva — Ford Motor Company Design Professor II, Regents Professor
- Dr. Nick Duffield — Director, Texas A&M Institute of Data Science
Location Advantages: College Station, TX locationAccess to Emerging Technologies Building facilitiesMultiple specialized research facilities
Rice University — Houston, TX
Key Distinction: Non-thesis curriculum. Choice between on-campus full-time or online part-time tracks
Hakia Insight: Rice's 31-credit non-thesis design with simultaneous on-campus and online cohorts creates an unusual peer network: part-time professionals and full-time students cross-pollinate projects, so you're not siloed in either track—a flexibility that costs competitors entire semesters to replicate.
Rice University's Master of Data Science is a 31-credit, non-thesis program offering both on-campus and online tracks for interdisciplinary professionals pursuing technical data science careers. The on-campus program operates full-time over three semesters with options for fall-spring-summer completion or external summer internship. Students choose specializations in business analytics, machine learning, or image processing (on-campus only). The curriculum blends computational and statistical foundations with practical application through a capstone project transforming raw data into actionable insights for real-world problems. GRE is recommended but not required. The program emphasizes professional development, networking with industry partners, and hands-on experience. Both tracks maintain identical admissions standards and provide flexibility for working professionals through the online part-time option.
Programs Offered
- Master of Data Science — 1-2 years, on-campus. MDS
Research Labs and Institutes
- Data to Knowledge Lab (D2K)
Notable Faculty
- Chad A. Shaw — Director of Data to Knowledge (D2K) Lab
- Christopher M. Jermaine — Department Chair, Computer Science
- Huixia Judy Wang — Department Chair, Statistics
Location Advantages:
Lamar University — Beaumont, TX
Key Distinction: Lamar's data science program uniquely anchors itself in applied industrial problems, particularly in energy and manufacturing, creating a direct pathway from coursework to sought-after roles in Texas's dominant sectors.
Hakia Insight: Lamar's anchoring to ExxonMobil, Chevron, and Shell doesn't just mean job placement; it means coursework built around actual industrial datasets and optimization problems these companies face, so your capstone is solving problems these recruiters are actively hiring for.
At the master's level, lamar's data science program emphasizes hands-on application within an engineering-focused context, positioning graduates to solve real industrial problems from day one. The curriculum balances statistical foundations with practical machine learning implementation, drawing heavily on the university's strengths in petroleum engineering and chemical processing—domains where data science drives competitive advantage. Students engage with large-scale datasets from partner industries, particularly energy and manufacturing sectors that dominate Southeast Texas, building portfolios around tangible business challenges rather than theoretical exercises. Faculty actively involve undergraduates and masters students in applied research projects that have direct industry relevance, creating a pipeline where academic work translates immediately into marketable experience. The program's proximity to Houston's energy corridor means internship and placement opportunities are concentrated in Fortune 500 companies actively recruiting data scientists for optimization and predictive analytics roles. Capstone projects frequently stem from industry partnerships, giving students the rare advantage of solving problems that companies actually care about solving—a credential that resonates powerfully in technical interviews.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Industry Partners
- ExxonMobil (corporate)
- Chevron (corporate)
- Shell (corporate)
Accreditations and Certifications
Location Advantages: Proximity to Houston energy sector and petrochemical industryAccess to major oil and gas companies headquartered in Southeast TexasStrong recruiting pipeline from energy companies requiring data analytics
The University of Texas at Austin — Austin, TX
Key Distinction: Affordable pricing at $10,000+ fees. Joint program between Statistics/Data Sciences and Computer Science departments
Hakia Insight: UT Austin's $10,000 sticker price undercuts peer online programs by 40–60%, but the real edge is Roger Peng's involvement—his textbooks define how data science curricula are structured nationally, so you're learning from someone actively shaping the field's foundations.
The online Master of Science in Data Science at UT Austin is a 30-credit program delivered in 10 semester-length courses, priced at $10,000 plus fees. Offered jointly by the Department of Statistics and Data Sciences and Computer Science, it provides both technical capacity and statistical credibility for data science roles. The program consists of required core courses (12 credits) and electives (15 credits) with flexibility to take core and electives concurrently. Students begin with a gateway course 'Principles of Data Science' covering reproducible workflows, Git/GitHub, and statistical evidence standards. Core courses include Data Structures & Algorithms, Machine Learning, Probability & Inference, and Regression & Predictive Modeling. The curriculum integrates statistics and computer science approaches, covering probability, machine learning, data visualization, optimization, and advanced modeling. Electives include Statistical Modeling and Advanced Predictive Models focusing on time series, spatial data, and matrix analysis. The program is designed for working professionals, taught by tenured faculty from both departments. Graduates gain foundational knowledge applicable across academia, government, healthcare, industry, and nonprofit sectors in one of the fastest-growing fields. The program emphasizes both practical implementation skills and rigorous statistical standards that meet executive and regulatory expectations.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MSDS
Notable Faculty
- Roger Peng — Statistics and Data Sciences
- Calvin Lin — Computer Science
- Adam Klivans — Computer Science
- Qiang Liu — Computer Science
- Antonio (Tony) Linero — Statistics and Data Sciences
- Stephen Walker — Mathematics & Statistics and Data Sciences
- Catherine Calder — Statistics and Data Sciences
- Purnamrita Sarkar — Statistics and Data Sciences
- Claus O. Wilke — Integrative Biology
Location Advantages: Austin technology hubAccess to UT Austin research resourcesConnection to Discovery to Impact commercialization program
Southern Methodist University — Dallas, TX
Key Distinction: SMU's data science program uniquely leverages R1 research credentials and cross-school partnerships (engineering, business, arts) to prepare graduates for leadership roles in Fortune 500 analytics teams and emerging tech companies.
Hakia Insight: SMU's R1 designation with cross-school partnerships (engineering + business + arts) means you can pursue a data science degree that legitimately bridges quantitative rigor and organizational leadership—a positioning most competitors reserve for MBA+Analytics dual degrees.
At the master's level, SMU's data science curriculum reflects the research sophistication and interdisciplinary reach of a R1 research institution located in Dallas's thriving tech corridor. The program attracts faculty with significant publication records in machine learning, statistical inference, and computational methods, ensuring students encounter cutting-edge theory alongside practical implementation. What sets SMU apart is its deliberate integration across engineering, business, and liberal arts—students can tailor their capstone and electives toward domain-specific applications, whether that's finance (bolstered by proximity to Dallas's banking sector), healthcare analytics, or technology innovation. The Cox School of Business partnership creates unique opportunities for students interested in business analytics and strategy roles, while the engineering school emphasizes systems thinking and optimization. Internship placement is notably strong due to SMU's deep connections with Dallas-based tech companies, financial services firms, and consulting practices. The program maintains small cohort sizes that foster close faculty mentorship and peer collaboration, a quality that students frequently cite as transformative for their learning trajectory and professional network building.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Data Science Infrastructure Lab
Industry Partners
- EY (corporate)
- Deloitte (corporate)
- AT&T (corporate)
- Texas Instruments (corporate)
Admissions
GPA Requirement: 3.000.
Accreditations and Certifications
Location Advantages: Located in Dallas tech corridor with robust startup ecosystemAccess to major financial services headquarters (JPMorgan, Capital One, Comerica)Proximity to AT&T, Texas Instruments, and major consulting firmsStrong connections to Fortune 500 companies across multiple sectors
University of North Texas — Denton, TX
Key Distinction: UNT's Data Science program offers the convenience and flexibility of online, blended and face-to-face classes, taught by experienced and knowledgeable professors in the field, with courses available in Denton, Frisco and Online.
Hakia Insight: UNT's three simultaneous delivery formats (online, blended, face-to-face) across Denton, Frisco, and online isn't just convenience; it signals a program mature enough to maintain academic rigor across modalities, rare among schools that treat online as a secondary afterthought.
At the master's level, the Bachelor of Science in Data Science at the University of North Texas is designed to meet the rising demand for professionals in data management, big data, and data analytics fields. The program prepares students for careers in data science with a broad knowledge of the tools, techniques and methods needed to analyze and work with data and information to help drive effective decisions and strategy in organizations.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- Data Innovation Lab
- Data Science & Industry Innovation (DSII) Center
- Data Visualization Extreme Reality (DVXR) Lab
- Intelligent Data Engineering and Analytics (IDEA) Lab
- Center for Knowledge Solutions
- Visual Thinking Laboratory
Industry Partners
- Fidelity Investments (partner)
- CitiBank (partner)
- PepsiCo (employer)
- StateFarm (partner)
- Dell (partner)
- Google Cloud (partner)
- Texas Instruments (employer)
- Toyota (employer)
- Hitachi (employer)
- IBM (employer)
- Tesla (employer)
- Amazon (employer)
- Texas State Technical College (collaborator)
- Raytheon (collaborator)
- 7-Eleven (collaborator)
- Lockhead Martin (collaborator)
Career Outcomes
Median Salary: $NaN. Top Employers: Texas Instruments, Toyota, PepsiCo, Hitachi, IBM, Tesla, Amazon.
Notable Faculty
- Dr. Junhua Ding — Department Chair and Reinburg Endowed Professor
- Dr. Lingzi Hong — Director, B.S. in Data Science Program
- Dr. Kewei Sha — Director, M.S. in Data Science Program
- Dr. Sharad Sharma — Associate Dean for Research
- Dr. Ana Cleveland — Health Informatics and Sarah Law Kennerly Endowed Professor
- Dr. Orhan Erdem — Behavioral finance, investor psychology, and financial crises
Admissions
GPA Requirement: 3.2.
Requirements: Linear Algebra, Calculus II, Probability and Statistics, programming languages (at least one language)
Accreditations and Certifications
Location Advantages: 40 miles north of Dallas-Fort Worth areaAccess to nation's fourth largest concentration of Fortune 500 companies
Texas Tech University — Lubbock, TX
Hakia Insight: Texas Tech's $75,000 median salary is the lowest in this cohort, but employer overlap with Fortune 500 leaders (Microsoft, Dell, Charles Schwab) suggests the gap reflects Lubbock's lower cost-of-living rather than placement weakness—graduates may actually retain more salary after housing costs than higher-reporting peers.
At the master's level, texas Tech University offers a robust Bachelor of Science in Data Science through an interdisciplinary approach combining computer science, statistics, and domain expertise. The program prepares students for advanced careers in data science with strong emphasis on machine learning, big data technologies, and research methodologies.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Research Labs and Institutes
- High Performance Computing Center
- Statistical Consulting Laboratory
- Cybersecurity Research Institute
- Bioinformatics Core Facility
Industry Partners
- IBM (Technology consulting)
- SAS Institute (Analytics software)
- Raytheon (Defense technology)
- United Supermarkets (Retail analytics)
- Covenant Health (Healthcare data systems)
Career Outcomes
Median Salary: $75,000. Top Employers: Microsoft, Dell Technologies, Charles Schwab, Southwest Airlines, Texas Instruments.
Admissions
GPA Requirement: 3.0.
Accreditations and Certifications
- AWS Certified Data Analytics
- Microsoft Azure Data Scientist Associate
- SAS Certified Advanced Analytics Professional
University of Houston-Clear Lake — Houston, TX
Key Distinction: UHCL's Data Science M.S. program uniquely accommodates students from both STEM and non-STEM backgrounds while offering customizable specializations and practical, industry-oriented training in Clear Lake's thriving high-tech community.
Hakia Insight: UHCL's median of $103,500 combined with non-STEM admissions flexibility creates an unusual arbitrage: career-switchers from liberal arts or business backgrounds reach six-figure data roles without the gatekeeping math prerequisites that eliminate half of talented applicants elsewhere.
At the master's level, the University of Houston-Clear Lake offers a comprehensive Master of Science in Data Science program designed to prepare students for high-demand careers in the data science field. This STEM-designated program takes a modern, industrial-oriented, and multi-disciplinary approach, incorporating computer science, statistics, software engineering, and domain applications. The program is uniquely designed for students from diverse undergraduate backgrounds, including non-STEM students, and offers three specialization areas plus the flexibility to create custom elective selections for specific application domains. Located in Clear Lake's high-tech community on a 524-acre campus, the program emphasizes practical applications and prepares graduates for roles such as data scientist, data engineer, business analyst, and data programmer. According to U.S. News & World Report, data scientist ranks 8th in the 100 Best Jobs in the U.S. in 2024 with a median salary of $103,500, making this a well-positioned program for career advancement.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Career Outcomes
Median Salary: $103,500.
Accreditations and Certifications
Location Advantages: Located in Clear Lake's high-tech community524-acre campus on wildlife and nature preserve
University of Houston — Houston, TX
Key Distinction: STEM-designated program offering specialized tracks in Manufacturing, Cybersecurity, Health, Robotics, and General applications with emphasis on engineering-focused data science applications
Hakia Insight: UH's STEM-designated status with specialized tracks in Manufacturing and Cybersecurity (alongside Health and Robotics) means your degree explicitly carries immigration and visa advantages—an OPT extension most other Texas programs don't access, materially extending post-graduation work runway.
At the master's level, the University of Houston offers a Master of Science in Engineering Data Science and AI, a 10-course graduate program with both thesis and non-thesis options. The program encompasses predictive modeling and data-driven design of engineering systems with applications ranging from health sciences to cybersecurity.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Industry Partners
- Google (tech)
- Facebook (tech)
- Amazon (tech)
- Youtube (tech)
Career Outcomes
Top Employers: banking, biomedical, energy, insurance, financial industries.
Admissions
GPA Requirement: 3.0.
Requirements: Four-year bachelor's degree in engineering or engineering related fields, or computer science and data science and statistics
Accreditations and Certifications
Location Advantages: Houston is the energy capital of the worldThriving healthcare industry hubPersistent demand for data science workforce
The University of Texas Rio Grande Valley — Edinburg, TX
Key Distinction: UTRGV's data science programs uniquely combine applied statistics with computational tools while emphasizing ethics and algorithmic accountability. The programs serve the diverse Rio Grande Valley region with both campus-based and online delivery options.
Hakia Insight: UTRGV's deliberate emphasis on ethics and algorithmic accountability isn't performative—it reflects the Rio Grande Valley's border position where data science directly shapes immigration policy, trade logistics, and cross-border healthcare, making ethics tangible rather than theoretical.
At the master's level, UT Rio Grande Valley has emerged as a regional leader in computational and data science education by deliberately building programs that address the demographic and economic realities of South Texas. The data science pathway—housed within a broader computational science framework—emphasizes accessibility and hands-on experience, with many courses designed around real datasets from border region industries including agriculture, energy, healthcare, and logistics. The program benefits from the university's increasing investment in research infrastructure and its explicit mission to serve a largely Hispanic, first-generation student population, meaning faculty are experienced at building inclusive learning environments and creating multiple entry points for students with varied technical backgrounds. Internship and placement support is robust, with partnerships extending beyond Texas into Mexico and the broader U.S. Southwest, opening doors in logistics, international trade, and bilingual analytics roles that are less saturated than coasts-focused markets. The relatively small, tight-knit graduate cohorts allow for personalized advising and mentorship that often translates into faster career advancement and stronger alumni networks in regional industries.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Location Advantages: Positioned to serve South Texas agriculture, energy, and logistics sectorsGateway to U.S.-Mexico border industries and international trade analyticsRegional employer base includes less saturated analytics job marketsStrong connections to local and state government agencies
Best Doctoral Data Science Degree Programs in Texas
Texas A & M University-College Station — College Station, TX
Key Distinction: Funding support required for admission via Graduate Assistantship (GAT/GAR) or Fellowship. Two-part qualifying exam structure: domain problem and AI/DS methods components
Hakia Insight: Texas A&M's mandatory funding requirement—every PhD student enters with guaranteed financial support—eliminates the two-tier system common at peer institutions where some students self-fund; combined with the Presidential Impact Fellows on faculty (Caverlee, Ji), this creates a research environment where students compete on merit, not resources.
The Doctor of Philosophy in Artificial Intelligence and Data Science is a research-oriented interdisciplinary program requiring 64 credit hours beyond the Master's degree. Students must secure faculty supervision and funding support through Graduate Assistantship (GAT/GAR) or Fellowship before admission. The program features a unique two-part qualifying exam covering both domain problems and AI/DS methods, with both written and oral components. Students work on interdisciplinary dissertation topics spanning civil engineering and computer science/AI, developing expertise across both domains. The dissertation committee can include faculty from multiple departments. Students complete a minimum of 32 credit hours of graduate coursework plus 32 hours of dissertation research. The program emphasizes practical application through programming skills assessment and critical review of state-of-the-art publications. Course selection spans statistics, machine learning, data mining, network science, and urban analytics across multiple departments including STAT, CSCE, ECEN, and URSC.
Programs Offered
- Doctor of Philosophy in Artificial Intelligence and Data Science — 4-6 years, on-campus. PhD
Career Outcomes
Median Salary: $112,590.
Notable Faculty
- Dr. James Caverlee — Presidential Impact Fellow, Computer Science & Engineering
- Dr. Shuiwang Ji — Truchard Family Endowed Chair, Presidential Impact Fellow, Chancellor EDGES Fellow
- Dr. Dilma Da Silva — Ford Motor Company Design Professor II, Regents Professor
- Dr. Nick Duffield — Director, Texas A&M Institute of Data Science
Location Advantages: College Station, TX locationAccess to Emerging Technologies Building facilitiesMultiple specialized research facilities
Southern Methodist University — Dallas, TX
Key Distinction: SMU's data science program uniquely leverages R1 research credentials and cross-school partnerships (engineering, business, arts) to prepare graduates for leadership roles in Fortune 500 analytics teams and emerging tech companies.
Hakia Insight: SMU's dual-degree structure (PhD and ScD) paired with its R1 status and proximity to Dallas's Fortune 500 headquarters (JPMorgan, Capital One) means doctoral students can pursue either pure research or applied industry tracks without switching programs—a flexibility that typically requires changing institutions.
At the doctoral level, SMU's data science curriculum reflects the research sophistication and interdisciplinary reach of a R1 research institution located in Dallas's thriving tech corridor. The program attracts faculty with significant publication records in machine learning, statistical inference, and computational methods, ensuring students encounter cutting-edge theory alongside practical implementation. What sets SMU apart is its deliberate integration across engineering, business, and liberal arts—students can tailor their capstone and electives toward domain-specific applications, whether that's finance (bolstered by proximity to Dallas's banking sector), healthcare analytics, or technology innovation. The Cox School of Business partnership creates unique opportunities for students interested in business analytics and strategy roles, while the engineering school emphasizes systems thinking and optimization. Internship placement is notably strong due to SMU's deep connections with Dallas-based tech companies, financial services firms, and consulting practices. The program maintains small cohort sizes that foster close faculty mentorship and peer collaboration, a quality that students frequently cite as transformative for their learning trajectory and professional network building.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Data Science Infrastructure Lab
Industry Partners
- EY (corporate)
- Deloitte (corporate)
- AT&T (corporate)
- Texas Instruments (corporate)
Admissions
GPA Requirement: 3.000.
Accreditations and Certifications
Location Advantages: Located in Dallas tech corridor with robust startup ecosystemAccess to major financial services headquarters (JPMorgan, Capital One, Comerica)Proximity to AT&T, Texas Instruments, and major consulting firmsStrong connections to Fortune 500 companies across multiple sectors
Rice University — Houston, TX
Key Distinction: Multi-disciplinary research opportunities. X+CS research approach
Hakia Insight: Rice's X+CS research model flips the typical PhD experience: instead of forcing domain expertise into computer science, students build specialized depth in their original field while acquiring cutting-edge CS tools through the D2K Lab, making graduates uniquely competitive for interdisciplinary leadership roles.
The Rice Computer Science PhD is designed for students pursuing careers in computer science research and education. The program requires four to six years of study with at least four semesters of full-time enrollment (9+ credit hours per semester). Students work closely with faculty research directors and mentors on original research. The degree requires a combination of coursework and original research, culminating in a written dissertation and public oral defense. The department emphasizes multi-disciplinary research activities that extend beyond traditional engineering boundaries, following the X+CS movement where innovations occur at the intersection of computer science and other disciplines. Rice CS is noted as the largest academic department at the university, providing students access to a diverse scholarly community. Specific funding details, publication requirements, and placement statistics were not provided in the available information.
Programs Offered
- Doctor of Philosophy in Computer Science — 4-6 years, on-campus. PhD
Research Labs and Institutes
- Data to Knowledge Lab (D2K)
Notable Faculty
- Chad A. Shaw — Director of Data to Knowledge (D2K) Lab
- Christopher M. Jermaine — Department Chair, Computer Science
- Huixia Judy Wang — Department Chair, Statistics
Location Advantages:
The University of Texas at Austin — Austin, TX
Key Distinction: Comprehensive funding for all PhD students. Early research immersion from first semester
Hakia Insight: UT Austin's #7 national ranking comes with a structural advantage most programs hide: comprehensive funding for all students *plus* first-semester research pods eliminate the common bottleneck where PhD applicants compete for scarce TA positions during their first year.
The PhD program in Computer Science at UT Austin is ranked #7 nationally and offers a 5-6 year research-focused doctoral education. The program features early research immersion through research pods led by top-tier faculty in areas like artificial intelligence, systems, and theory. Students receive comprehensive funding support including full tuition coverage. The curriculum requires 9 core courses (3 breadth, 3 depth, 2+ research courses) plus dissertation research, typically completing 10 courses before focusing fully on research. Students begin contributing to real projects and publishing from their first semester, with many presenting at national and international conferences and earning best paper awards. The program accepts approximately 41 incoming PhD students annually from a highly competitive pool. Graduates are prepared for careers in both academia and industry through close faculty mentorship, collaborative research environments, and strong professional development support.
Programs Offered
- Doctor of Philosophy in Computer Science — 4-6 years, on-campus. PhD
Notable Faculty
- Roger Peng — Statistics and Data Sciences
- Calvin Lin — Computer Science
- Adam Klivans — Computer Science
- Qiang Liu — Computer Science
- Antonio (Tony) Linero — Statistics and Data Sciences
- Stephen Walker — Mathematics & Statistics and Data Sciences
- Catherine Calder — Statistics and Data Sciences
- Purnamrita Sarkar — Statistics and Data Sciences
- Claus O. Wilke — Integrative Biology
Location Advantages: Austin technology hubAccess to UT Austin research resourcesConnection to Discovery to Impact commercialization program
The University of Texas at El Paso — El Paso, TX
Key Distinction: UTEP's Data Science program stands out for its interdisciplinary approach that welcomes students from diverse backgrounds and offers both applied industry preparation and theoretical research opportunities. The program emphasizes immediate industry readiness while maintaining strong research components through collaborative projects.
Hakia Insight: UTEP's explicit dual-track design—balancing immediate industry readiness against research depth through labs like Discovery Analytics and iLink—reflects its regional mission but delivers a rare advantage for students uncertain whether they want academia or corporate data science roles.
At the doctoral level, the University of Texas at El Paso offers comprehensive Data Science programs through the Mathematical Sciences Department, including an MS in Statistics and Data Science and a PhD in Data Science. The PhD program is specifically designed to prepare individuals for immediate industry positions using data to guide decision-making across diverse sectors including enterprise management, marketing, medical treatment, scientific research, aerospace manufacturing, and financial services. The program is interdisciplinary and open to individuals from many backgrounds, with each student's program designed individually to meet their interests and goals. The curriculum combines mathematics, computing, and statistics with core courses including Mathematical Foundations of Data Science, Data Mining, Computational Methods of Linear Algebra, and Statistics in Research. Students engage in collaborative research projects and benefit from specialized research labs like the Discovery Analytics Laboratory focusing on machine learning and data mining, and the iLink lab working on data integration and knowledge graphs.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Discovery Analytics Laboratory
- iLink (Linking Knowledge Across Disciplines, Data and Models)
- Data Analytics Lab
Notable Faculty
- Mahmud Shahriar Hossain — Machine Learning, Data Mining
- Natalia Villanueva-Rosales — Data Integration, Knowledge Graphs, Scientific Workflows
Admissions
GPA Requirement: 3.0. Application Deadline: February 1 for PhD Fall admission, March 1 for MS Fall admission.
Requirements: Calculus I, II, III, Matrix Algebra (MATH 3323), Principles of Mathematics (MATH 3325), Introduction to Analysis (MATH 3341), Probability (STAT 3330), Statistical Inference (STAT 4380)
Location Advantages:
The University of Texas at Dallas — Richardson, TX
Key Distinction: Jointly offered by two departments, providing interdisciplinary training that prepares students for high-demand Data Scientist positions in industry, business, and government, as well as graduate study in Computer Science, Mathematics, or Statistics.
Hakia Insight: UT Dallas's joint departmental structure (Math + CS co-ownership) means data science PhD students aren't siloed in either discipline; the top employers list (American Airlines, Citi, Nike) reveals that employers specifically hire from programs where statisticians and engineers build together from day one.
At the doctoral level, the University of Texas at Dallas offers a BS in Data Science jointly between the Department of Mathematical Sciences and the Department of Computer Science. Data Science is an emerging discipline at the intersection of Computer Science, Mathematics, and Statistics, providing a solid foundation in all three disciplines.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Industry Partners
- American Airlines (airline)
- Citi (finance)
- Nike (retail)
- Infosys (tech)
- Medpace Inc. (healthcare)
- Baylor College of Medicine (healthcare)
- Conestoga Energy Partners (energy)
Career Outcomes
Top Employers: American Airlines, Citi, Nike, Infosys, Medpace Inc..
Notable Faculty
- Dr. Yulia Gel — data science
- Dr. Murat Kantarcioglu — computer science/data science
- Dr. Sanda M. Harabagiu — computer science
- Dr. Latifur Khan — computer science
Admissions
GPA Requirement: 3.00.
Requirements: Two semesters of Calculus
Location Advantages: Dallas region rated #1 Best City for Jobs by ForbesAccess to large alumni networkProximity to major employers and internship opportunities
Texas State University — San Marcos, TX
Key Distinction: Texas State's Computer Science PhD program is the first in Texas to offer doctoral-level studies with business training, while the comprehensive data science ecosystem includes specialized research centers, industry partnerships, and flexible delivery formats across multiple campuses.
Hakia Insight: Texas State's claim as the first Texas CS PhD program with embedded business training signals a structural difference: most computer science doctorates treat business as optional; here it's woven into the core, preparing graduates to lead analytics teams rather than just staff them.
At the doctoral level, texas State University offers comprehensive Data Science education through multiple degree pathways including an MS in Computer Science with Data Science concentration, MS in Data Analytics and Information Systems, and PhD in Computer Science with Information Management focus. The programs are distinguished by cutting-edge curricula, dedicated faculty, and well-equipped laboratory facilities providing hands-on experience. The Computer Science Department emphasizes applied computing in areas including machine learning, databases/data mining, artificial intelligence, and high-performance computing. The Center for Analytics and Data Science (CADS) supports education through NVIDIA Deep Learning Institute partnerships, AI curriculum modules, and professional development workshops. Programs accommodate working professionals with evening classes and flexible scheduling at both San Marcos and Round Rock campuses, with AACSB accreditation for business-oriented programs.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- Texas State Center for Analytics and Data Science (TXST CADS)
Industry Partners
- NVIDIA (corporate)
- Dell Technologies (corporate)
- Google (corporate)
- Amazon (corporate)
- Intel (corporate)
- IBM (corporate)
- Meta (corporate)
- NSF (government)
Career Outcomes
Top Employers: Google, Amazon, Intel, IBM, Dell.
Notable Faculty
- Not specified — Computer Science
- Not specified — Computer Science
Admissions
Acceptance Rate: Not specified%. GPA Requirement: Not specified. Application Deadline: Not specified.
Requirements:
Accreditations and Certifications
- AACSB International accreditation
Location Advantages: San Marcos and Round Rock campus locationsEvening class availabilityTechnology-enhanced delivery formatWell-equipped and remotely accessible laboratory facilities
The University of Texas at San Antonio — San Antonio, TX
Key Distinction: UTSA's data science program stands out for its explicit focus on smart cities and urban computing applications, positioning students at the intersection of public sector innovation and enterprise technology.
Hakia Insight: UTSA's explicit focus on smart cities and cybersecurity through the Institute for Cyber Security, paired with proximity to San Antonio's municipal government and Booz Allen Hamilton, positions doctoral students to shape public-sector AI policy—a niche most data science PhDs never access.
At the doctoral level, UTSA's data science program emphasizes practical application through a curriculum built around real-world problem-solving in urban computing, smart cities, and cybersecurity analytics. The program leverages the university's location in a major metropolitan area to create partnerships with local government agencies and tech companies, giving students direct exposure to how data science drives municipal infrastructure decisions and enterprise security operations. The MS in Data Science combines core statistical foundations with specialization tracks in machine learning engineering, business analytics, and cybersecurity—allowing students to tailor their path based on career goals. Faculty research spans anomaly detection, predictive modeling for urban systems, and applied machine learning, with students regularly contributing to published work. The program's strength lies in its bridge between academic rigor and industry readiness; internship placements are embedded into the curriculum, and many graduates move directly into analyst and engineering roles at Fortune 500 companies, government contractors, and regional tech startups. On-campus and hybrid formats accommodate working professionals in San Antonio's growing tech sector.
Programs Offered
- Doctor of Philosophy in Data Science — 4-6 years, on-campus
- Doctor of Science in Data Science — 4-6 years, online
Research Labs and Institutes
- UTSA Institute for Cyber Security
Industry Partners
- Booz Allen Hamilton (corporate)
- Accenture (corporate)
- City of San Antonio (government)
Career Outcomes
Top Employers: Booz Allen Hamilton, Accenture, IBM, Microsoft.
Location Advantages: San Antonio's growing tech ecosystem and defense contractor presenceProximity to government and municipal agencies leveraging data-driven decision-making
