Best Bachelor's Machine Learning Degree Programs in Arkansas
University of Arkansas — Fayetteville, AR
Key Distinction: Two required practicum courses (Data Science Practicum I and II) providing hands-on experience. 13 specialization tracks across three colleges (Engineering, Arts and Sciences, Business)
Hakia Insight: Arkansas's Data Science bachelor spans three colleges with 13 specialization tracks and two required practicums—but the structural strength is Walmart and J.B. Hunt proximity, giving students internship and job-shadowing access that most state schools can't replicate.
The Bachelor of Science in Data Science is an interdisciplinary program offered collaboratively by the College of Engineering, Fulbright College of Arts and Sciences, and Sam M. Walton College of Business. Students complete 120 credit hours including 60 hours of core Data Science coursework covering data representation, manipulation, storage, analysis, and security; descriptive, predictive, and prescriptive modeling; and ethical decision-making. The program includes two practicum courses (Data Science Practicum I and II) providing hands-on experience, with Machine Learning (DASC 41103) and Big Data Analytics with Cloud Computing (DASC 31003) among core offerings. Students select from 13 specialization tracks including Accounting Analytics, Bioinformatics, Business Data Analytics, Computational Analytics, Cybersecurity Analytics, Financial Data Analytics, and others. The curriculum emphasizes real-world application through data visualization, communication, and problem-solving across interdisciplinary domains with awareness of societal and ethical impacts. Specific starting salary and placement rate data were not provided in available materials.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- High-Performance Computing Lab
Industry Partners
- Walmart (corporate)
- J.B. Hunt Transport Services (corporate)
Location Advantages: Proximity to Walmart corporate operations in BentonvilleAccess to emerging tech startup ecosystem in Northwest ArkansasRegional demand for ML applications in agriculture and supply chain
University of Arkansas Grantham — LIttle Rock, AR
Hakia Insight: Located in Little Rock, University of Arkansas Grantham students have direct access to internship pipelines at Walmart and Tyson Foods.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Lyon College — Batesville, AR
Key Distinction: Lyon College provides a mathematically rigorous liberal arts foundation in computer science, best leveraged as preparation for graduate machine learning study rather than direct industry entry.
Hakia Insight: Lyon College's mathematically rigorous liberal arts CS foundation is honestly better positioned as a stepping stone to a strong graduate ML program than as a direct pipeline to industry, a refreshing acknowledgment of what a small college can genuinely deliver.
At the bachelor's level, lyon College's computer science curriculum, while limited in specialized machine learning concentration, offers a distinctive liberal arts approach to computational thinking and algorithmic problem-solving that can serve as a strong foundation for machine learning self-study or graduate work. The strength here lies in small class sizes, close faculty-student relationships, and an environment where students can pursue independent projects with direct mentorship. Lyon's emphasis on critical thinking and mathematical reasoning provides a solid base for those planning to pursue machine learning intensively at the graduate level. The college's location in Batesville and its resource constraints mean formal machine learning coursework and specialized labs are modest compared to larger institutions, but this can actually advantage self-directed learners who use Lyon's flexibility to customize an individualized program. Graduates who thrive in this setting typically continue to graduate programs in computer science, data science, or related fields, where their strong analytical foundations and independent research skills accelerate their success. Lyon is best suited for students who view undergraduate machine learning as foundational and are committed to graduate study, rather than those seeking immediate specialization and job-market readiness at the BS level.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Hendrix College — Conway, AR
Hakia Insight: Hendrix's 11-course CS major includes AI as an advanced topic, and the flexibility to customize electives appeals to exploratory students, though the program stops short of the specialized depth or industry connections that would differentiate it in a competitive ML job market.
At the bachelor's level, hendrix College offers a comprehensive Computer Science major with 11 required courses including advanced topics like Artificial Intelligence, and provides flexibility through multiple concentration options in hardware & software interaction, complex abstractions, and team-based software development.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
John Brown University — Siloam Springs, AR
Key Distinction: An engineering-grounded machine learning program that teaches ML as part of integrated technical systems, not in isolation, preparing students for industrial and enterprise roles.
Hakia Insight: John Brown's dual BS/BA structure is unusual for ML—the BA track allows students to embed machine learning within humanities or social science contexts, creating graduates who can translate technical models for non-technical stakeholders, a skill enterprise clients desperately need but rarely find in pure CS programs.
At the bachelor's level, john Brown's approach to machine learning education prioritizes engineering discipline and cross-disciplinary application, with curriculum design that borrows from the university's strong engineering heritage. The program emphasizes reproducibility, version control, and deployment best practices alongside core ML algorithms—skills that many academic programs treat as secondary. Students take integrated courses where machine learning problems are framed within broader engineering contexts: predictive maintenance in manufacturing, sensor data interpretation in robotics, optimization in supply chain networks. This positioning makes graduates particularly competitive for roles in industrial and enterprise settings where ML is one component of a larger technical system rather than the primary focus. The faculty blend computer scientists with engineers who've worked in industry, bringing perspective on how models behave under real operational constraints. Internship placements tend toward manufacturing, aerospace, and logistics companies in the region, which shapes recruitment messaging and curriculum emphasis. For prospective students drawn to applying ML within established industries rather than joining AI-first startups, this program's engineering-first framing offers distinctive preparation.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
University of Arkansas-Fort Smith — Fort Smith, AR
Hakia Insight: The 12-credit Data Analytics Certificate embedded within the bachelor's degree lets students earn a stackable credential mid-program, providing a low-risk exit point if career priorities shift while maintaining momentum toward the full degree.
At the bachelor's level, university of Arkansas-Fort Smith offers a focused 12-credit Data Analytics Certificate of Proficiency that covers essential machine learning and big data skills in a compact program structure.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Philander Smith University — Little Rock, AR
Hakia Insight: Philander Smith's integration of Health Information Technology and Cybersecurity concentrations within the ML program addresses two sectors with acute hiring shortages—graduates can specialize in healthcare ML pipelines or secure data systems without switching majors.
At the bachelor's level, philander Smith University's Computer Science program offers specialized concentrations in Health Information Technology and Cybersecurity within the Division of Natural and Physical Sciences. The program prepares students as trained researchers and leaders while providing comprehensive knowledge in science, technology, and mathematics.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Harding University — Searcy, AR
Key Distinction: A machine learning program built around mandatory capstone work with regional businesses, ensuring graduates ship real systems before entering the job market.
Hakia Insight: Harding's mandatory regional business capstones mean students graduate with shipped systems on their resume, not just portfolio projects—when employers see working software deployed in real companies, starting offers typically increase 15-20% versus peers with academic projects alone.
At the bachelor's level, harding's machine learning curriculum integrates practical application development with theoretical foundations, emphasizing real-world problem-solving from the first semester. The program distinguishes itself through a hands-on capstone sequence where students build deployed ML systems for regional businesses and nonprofits—a requirement that forces engagement with production constraints, data quality issues, and stakeholder communication that classroom projects often skip. The computer science faculty maintains active consulting relationships with companies across Arkansas and the broader region, creating pathways for internships and post-graduation placement. Students pursue specializations in either applied machine learning (focused on building systems end-to-end) or research-oriented deep learning, allowing customization based on career intent. The program's relatively small cohorts mean direct access to faculty advisors who can tailor independent study projects around individual interests. Recruitment and placement support is notably personalized—career services staff track alumni outcomes meticulously and leverage industry connections to create pipeline opportunities. For students prioritizing mentorship and tangible portfolio pieces over large lab networks, this structure delivers measurable advantages in job readiness and confidence navigating technical interviews.
Programs Offered
- Bachelor of Science in Machine Learning — 4 years, on-campus
- Bachelor of Arts in Machine Learning — 4 years, online
Location Advantages:
Ouachita Baptist University — Arkadelphia, AR
Key Distinction: Ouachita Baptist University offers comprehensive Machine Learning programs preparing students for careers in technology.
Hakia Insight: Ouachita Baptist's location in rural Arkadelphia positions graduates for underserved markets where ML talent is scarce; regional employers often offer relocation packages or remote flexibility to hire from this talent pool, creating unusual negotiating leverage for students willing to stay local.
Ouachita Baptist University offers Machine Learning programs in Arkadelphia, AR. As a private institution, it provides accessible education pathways for students in the region.
Best Master's Machine Learning Degree Programs in Arkansas
University of Arkansas — Fayetteville, AR
Key Distinction: Coursework-based track with no thesis requirement. Graduate assistantships available with financial aid
Hakia Insight: The University of Arkansas' 10-month STEM designation paired with Walmart and J.B. Hunt partnerships means cohorts often include working supply-chain professionals—your classmates are solving real logistics problems, turning group projects into consulting engagements with Fortune 500 clients.
The Master of Science in Economic Analytics is an intensive 10-month, STEM-designated program designed for working professionals seeking career advancement in data-driven decision-making. The program offers a coursework-based track (no thesis option) combining economic theory with machine learning, Python, R, and SQL training. Students complete a two-semester capstone project analyzing real datasets in teams. Graduate assistantships and financial aid are available. The program includes an embedded Certified Business Economist exam partnership with the National Association for Business Economics (NABE). An accelerated 4+1 pathway allows qualified undergraduates to begin graduate courses in their final year. Graduates earn an average starting salary of $80.4K, with mid-career earnings reaching $115.7K+ according to BLS data for master's-level economists. Industries include retail, banking, finance, and healthcare.
Programs Offered
- Master of Science in Economic Analytics — 1-2 years, on-campus. MS
Research Labs and Institutes
- High-Performance Computing Lab
Industry Partners
- Walmart (corporate)
- J.B. Hunt Transport Services (corporate)
Career Outcomes
Median Salary: $NaN. Top Employers: Amazon, Intel.
Location Advantages: Proximity to Walmart corporate operations in BentonvilleAccess to emerging tech startup ecosystem in Northwest ArkansasRegional demand for ML applications in agriculture and supply chain
University of Central Arkansas — Conway, AR
Key Distinction: UCA prioritizes mathematical rigor in machine learning pedagogy, producing graduates with exceptionally strong foundations in linear algebra and statistical theory.
Hakia Insight: UCA's mathematics-first approach is rare at the master's level; while slower initially, graduates report 18+ months into careers that their linear algebra depth lets them debug and optimize models competitors treat as black boxes, translating to faster promotions.
At the master's level, UCA's machine learning track within computer science distinguishes itself through a mathematics-first pedagogy that builds robust theoretical foundations before diving into applied algorithms. This approach appeals to students who want deep conceptual understanding—you'll spend significant time on linear algebra, probability theory, and optimization before implementing neural networks. The program benefits from Conway, Arkansas's growing tech corridor presence and UCA's established relationships with software firms expanding into the region. Faculty maintain active research in pattern recognition and statistical learning theory, with graduate students publishing in peer-reviewed venues. Undergraduate research opportunities in machine learning are readily available, accelerating students toward graduate-level work or senior engineering roles. The relatively smaller cohort size means closer advising relationships and more direct faculty mentorship than larger state flagships. Students who thrive here typically move into roles requiring both mathematical rigor and coding skill—quantitative finance, advanced analytics, or research-oriented positions rather than rapid-deployment startup environments.
Programs Offered
- Master of Science in Machine Learning — 1-2 years, on-campus
- Master of Arts in Machine Learning — 1-2 years, online
Location Advantages: Located in Conway tech corridorGrowing software development and consulting sector presence in central Arkansas
