Best Bachelor's Data Science Degree Programs in Vermont
University of Vermont — Burlington, VT
Key Distinction: Capstone projects with industry partners. Undergraduate research opportunities with faculty mentorship
Hakia Insight: UVM's capstone projects with the Vermont Medical Center and Department of Health give undergraduates direct entry into healthcare analytics—the sector with highest data science job growth—while still in school, compressing the typical 2-3 year ramp to autonomy.
The Bachelor of Science in Data Science at UVM combines coursework from Statistics, Mathematics, and Computer Science to prepare students for Big Data Science and Analytics careers. The 120-credit program emphasizes hands-on experience through capstone projects connecting students with industry partners and mandatory 3-credit Professional Development Electives. Students gain practical skills in data wrangling, statistical analysis, and programming while working with real-world datasets. The interdisciplinary approach includes collaboration with the Vermont Complex Systems Center and opportunities for undergraduate research with faculty mentorship. The curriculum focuses on ethical data practices, preparing graduates for the rapidly growing field with huge unmet demand. Students develop both technical expertise and communication skills to present findings to technical and non-technical audiences.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Vermont Complex Systems Center
Industry Partners
- University of Vermont Medical Center (nonprofit)
- Vermont Department of Health (government)
Admissions
GPA Requirement: 3.00.
Requirements: Minimum 3 credits Professional Development Electives
Location Advantages: Access to environmental and climate research communitiesProximity to health system research partnersHub for Northern New England innovation ecosystem
Middlebury College — Middlebury, VT
Key Distinction: Middlebury's data science program uniquely roots technical training in a liberal arts ethos, producing graduates who think critically across disciplines rather than as pure technicians.
Hakia Insight: Middlebury's placement into Capital One, McKinsey, and Goldman Sachs isn't random: the program's liberal arts foundation teaches students to translate between technical and executive languages, a skill pure CS programs don't prioritize but finance and consulting explicitly reward.
At the bachelor's level, middlebury College structures its data science program around a coherent pathway combining computer science, mathematics, and statistics into a unified analytical toolkit, rather than treating them as separate disciplines. The curriculum progresses from foundational courses in algorithms and linear algebra through applied work in machine learning, statistical inference, and data visualization, culminating in a capstone project where students tackle real datasets from faculty research, local organizations, or industry partners. What distinguishes Middlebury's offering is its integration with the college's broader quantitative literacy mission and its emphasis on communication—students learn to translate technical findings for non-technical audiences, a skill that employers consistently value. Faculty bring active research interests in areas like network analysis, computational linguistics, and environmental data science, and they actively involve undergraduates in their work. The college's location in Vermont and its connections to regional institutions and socially-minded companies create pathways into analytics roles at nonprofits, educational tech firms, and socially-conscious startups, alongside more traditional finance and tech placements. Middlebury graduates leave with solid technical credentials and a refined ability to frame data science questions within real-world constraints and ethical considerations.
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
- Health and Environmental Assessment Lab (HEAL)
- META Lab
Industry Partners
- Capital One (corporate)
- McKinsey & Company (corporate)
- Goldman Sachs (employer)
- JP Morgan Chase (employer)
- Bank of America (employer)
- Morgan Stanley (employer)
- Bain & Co. (employer)
- L.E.K. Consulting (employer)
- Accenture Federal Services (employer)
- AlphaSights (employer)
- Charles River Associates (employer)
- Analysis Group (employer)
- Barclays Investment Bank (employer)
- Epic (employer)
Career Outcomes
Top Employers: Capital One, McKinsey & Company, Tech companies (Google, Microsoft).
Notable Faculty
- Dr. Christopher Andrews — Visual analytics and computational art
- Dr. Phil Chodrow — Network science and applied data science
- Dr. Daniel Scharstein — Computer vision and 3D reconstruction
- Dr. Sam Byrne — Environmental health and epidemiology
- Dr. Laura Biester — Natural language processing and computational social science
Location Advantages: Strong alumni network in finance and tech sectorsRelationships with major consulting and tech firms
Champlain College — Burlington, VT
Key Distinction: Champlain integrates real client projects into the core curriculum from freshman year, ensuring every data science student builds a professional consulting portfolio while studying.
Hakia Insight: Champlain's freshman-year client projects aren't internship substitutes—they're curriculum: students graduate with a multi-project consulting portfolio built during core courses, immediately competing for roles requiring 2+ years of applied experience.
At the bachelor's level, champlain College's data science program is built on a foundation of hands-on project work from day one, with students engaging in real consulting projects for local businesses and nonprofits through the college's applied learning model. The curriculum balances foundational mathematics and programming with immediate application, emphasizing R, Python, and SQL across case studies that mirror professional analytics workflows. What distinguishes Champlain's approach is its integration of business acumen alongside technical skills—students develop not just modeling expertise but communication and stakeholder management capabilities that employers consistently prize. The program benefits from Burlington's growing tech ecosystem, with connections to healthcare systems like University of Vermont Medical Center and digital agencies headquartered in the region. Faculty include practitioners with active industry experience, and the college maintains partnerships with companies like IBM and local fintech startups, creating internship pipelines and guest lecture opportunities. Career outcomes show strong placement in mid-market analytics roles, particularly in healthcare analytics, financial services, and e-commerce, with graduates often moving into senior analyst or junior scientist positions within 2–3 years.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- IBM (corporate)
- University of Vermont Medical Center (corporate)
- Local Burlington fintech startups (startup)
Career Outcomes
Top Employers: IBM, University of Vermont, Local fintech firms.
Location Advantages: Burlington tech ecosystem growthHealthcare sector concentration (UVM Medical Center)Regional fintech presence
Bennington College — Bennington, VT
Key Distinction: Bennington's Field Work Term requirement embeds paid industry internships directly into degree requirements, producing graduates with genuine client-facing data science projects on their resumes before graduation.
Hakia Insight: Bennington's Field Work Term requirement (paid internships embedded in degree) combined with faculty like Katie Montovan (healthcare data) creates a rare advantage: graduates work on genuine healthcare analytics problems with mentorship, not summer placements, entering the job market with paid client projects already completed.
At the bachelor's level, bennington's approach to data science emphasizes experiential learning and real-world application through its signature Plan process, where students design individualized curricula around their specific interests in data science, machine learning, or computational statistics. Rather than following a standardized sequence, undergraduates work closely with faculty mentors to combine rigorous coursework in mathematics, computer science, and statistics with hands-on projects in areas like environmental data analysis, social network modeling, or computational biology. The program benefits from Bennington's intimate scale—small class sizes and direct faculty access mean students can pursue specialized topics (Bayesian inference, natural language processing, data visualization) that larger programs might not offer. Field work and internships are central; students spend their January term and summer months working with research labs, nonprofits, and tech companies, often returning to campus to apply those experiences in advanced seminars. This integration of liberal arts breadth with technical depth produces graduates comfortable navigating both the mathematical foundations of data science and the ethical, social, and business contexts in which they work. Alumni often move into roles spanning data analysis at tech companies, quantitative research in finance, or policy analysis at nonprofits—reflecting the program's emphasis on flexibility and intellectual independence.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- Local Vermont nonprofits and social enterprises (nonprofit)
- Regional healthcare organizations (corporate)
- Southwestern Vermont Medical Center (collaborator)
- Dartmouth Health (collaborator)
- NASA (sponsor)
- National Institutes of Health (sponsor)
- National Science Foundation (sponsor)
- Amazon (employer)
- American Museum of Natural History (collaborator)
- Centers for Disease Control and Prevention (collaborator)
- Massachusetts Institute of Technology (collaborator)
- Stanford University (collaborator)
Career Outcomes
Top Employers: Google, Deloitte.
Notable Faculty
- Meltem Ballan — Data science, artificial intelligence, machine learning
- Katie Montovan — Applied Research in Mathematics with healthcare data
- John Bullock — Inorganic chemistry, reaction pathways and mechanisms
Location Advantages: Proximity to Boston tech corridor (2.5 hours)Access to regional nonprofits and environmental organizations
Landmark College — Putney, VT
Key Distinction: Landmark College's neurodiversity-affirming approach to data science instruction provides structured, individualized learning pathways specifically designed for students who thrive with alternative pedagogical frameworks.
Hakia Insight: Landmark College's rural Vermont location and neurodiversity-affirming pedagogy create an uncommon retention advantage—students with ADHD, dyslexia, and autism spectrum profiles often outperform in focused, structured environments designed around their cognitive strengths rather than forced to adapt to neurotypical classroom norms.
At the bachelor's level, landmark College's data science curriculum is engineered around a neurodiversity-affirming pedagogical model, making it distinctly valuable for students who benefit from alternative learning structures and intensive support systems. The program emphasizes foundational statistical reasoning and computational thinking through applied, project-based modules rather than abstract theory-heavy coursework. Students engage with real datasets across business, health sciences, and environmental domains from the first semester, building practical competency alongside theoretical depth. The college's smaller cohort sizes—typical across its programs—enable close mentorship from faculty who actively incorporate accessibility-centered design thinking into their teaching. While Landmark's data science offerings remain limited compared to larger research institutions, the program's strength lies in its deliberately scaffolded progression, individualized academic planning, and institutional commitment to removing barriers that often derail neurodivergent learners in STEM. Graduates report strong confidence in applied analytics and data visualization skills, with many proceeding to roles in healthcare analytics, nonprofit data strategy, and small-to-medium business intelligence where their methodical problem-solving approach and attention to detail prove immediately valuable.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Rural Vermont setting conducive to focused study
Norwich University — Northfield, VT
Key Distinction: Norwich integrates data science with a military-civilian dual mission, creating unique pathways into defense and intelligence sectors alongside commercial tech roles.
Hakia Insight: Norwich's military-civilian dual mission uniquely qualifies graduates for federal and defense sector roles (NSA, DIA, NRO) where security clearances and structured problem-solving are prerequisites—a pathway most civilian data science programs don't even recognize.
At the bachelor's level, norwich University's data science program is built on a foundation of military-grade analytical rigor and a student body trained in structured problem-solving—distinguishing characteristics that attract both traditional and non-traditional learners. The curriculum integrates cybersecurity and data protection fundamentals earlier than most programs, reflecting Norwich's institutional DNA and the market reality that data professionals increasingly need security fluency. Students access the university's computing infrastructure and collaborate with faculty on applied projects spanning defense analytics, critical infrastructure modeling, and intelligence analysis—domains where Norwich's faculty bring direct domain expertise. The program explicitly prepares students for both commercial analytics careers and government/defense sector positions, with many internship placements routing through defense contractors and federal agencies. Norwich's online and hybrid format options accommodate working professionals and active-duty military members, a demographic representation that enriches classroom discussions with real-world operational context. Graduates consistently report strong placement in federal agencies, defense-adjacent analytics roles, and commercial positions with security clearance benefits. The emphasis on data ethics, governance, and responsible AI application—woven through the curriculum rather than siloed—aligns Norwich's program with contemporary hiring manager priorities in regulated industries.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Access to defense sector employers and federal agenciesVeteran and military-connected student network
Saint Michael's College — Colchester, VT
Key Distinction: Saint Michael's emphasizes data science for social good and public-sector impact, with curriculum and partnerships reflecting applied analytics in nonprofit and government contexts.
Hakia Insight: Saint Michael's curriculum explicitly teaches data ethics and social impact, positioning graduates for nonprofit and government analytics roles where technical skill + mission alignment commands premium placement rates most computer science programs can't match.
At the bachelor's level, saint Michael's College integrates data science within a liberal arts context that emphasizes ethical reasoning and social impact—positioning graduates to lead where technical capability alone is insufficient. The program architecture demands engagement with questions of algorithmic bias, data privacy, and equitable AI deployment before diving into implementation details, a sequencing that produces practitioners genuinely equipped to build trustworthy systems. Coursework in statistics, machine learning, and data engineering is anchored by required seminars exploring the societal implications of data-driven decision-making, particularly in domains touching vulnerable populations. Faculty bring research interests in fairness-aware machine learning, privacy-preserving analytics, and data journalism; students routinely engage in capstone projects addressing real community challenges—from analyzing disparities in educational access to building prediction models that explicitly constrain discriminatory outcomes. Saint Michael's location near Burlington's growing tech corridor and its affiliation with Vermont's social innovation ecosystem create internship opportunities with nonprofits, social enterprises, and mission-driven companies where ethical data practice is non-negotiable. Graduates frequently transition to roles in social impact analytics, nonprofit data strategy, responsible AI teams within tech companies, and civic tech organizations—sectors where the college's emphasis on normative reasoning and community-centered problem-solving directly differentiates them from technically-only training.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Proximity to Burlington's growing tech and social innovation ecosystemAccess to nonprofit and social enterprise employers
Vermont State University — Randolph, VT
Key Distinction: Vermont State University's data science curriculum is tightly aligned with regional employer needs, featuring direct partnerships with state agencies and healthcare systems that actively recruit graduates.
Hakia Insight: Vermont State's direct partnerships with state agencies and the Vermont Health Quality Alliance mean recruitment happens during the program, not after—students often secure employment before graduation through embedded practicum relationships.
At the bachelor's level, vermont State University's data science program reflects both the state's growing tech sector and a commitment to practical, applied education that prepares students for immediate professional impact. The curriculum emphasizes modern programming languages, data manipulation, and visualization techniques alongside statistical modeling and machine learning, structured around the workflow that data professionals actually encounter in industry roles. Students engage with real datasets from Vermont-based organizations and regional employers, building portfolios on genuine problems rather than toy datasets, which accelerates their readiness for entry-level analytics positions. The program's location provides unique access to businesses and research initiatives focused on environmental data, agriculture technology, and renewable energy analytics—emerging fields where data science expertise commands competitive salaries and offers meaningful work. Partnerships with regional employers create clear pathways to internships and post-graduation employment, with many hiring managers maintaining direct relationships with faculty and regularly engaging with student projects. The teaching approach prioritizes hands-on labs and project-based learning over lecture-heavy instruction, recognizing that data science skills are best developed through doing. Vermont State's commitment to affordable, career-focused education means students graduate with both relevant technical skills and minimal debt, positioning them to take entry-level roles in analytics, data engineering, or business intelligence without the financial pressure that might otherwise constrain their job choices.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- Vermont Health Quality Alliance (nonprofit)
Location Advantages: Strong relationships with Vermont state government agenciesProximity to healthcare analytics employers in central Vermont
