Best Bachelor's Data Science Degree Programs in Wisconsin
University of Wisconsin-Madison — Madison, WI
Key Distinction: Interdisciplinary curriculum spanning Statistics, Computer Science, Mathematics, and Information Science. Mandatory ethics coursework in data and algorithms policy
Hakia Insight: UW-Madison's mandatory ethics coursework in data and algorithms policy—rare among undergraduate programs—equips graduates to navigate emerging governance roles in tech, a competitive advantage as companies increasingly hire for responsible AI positions.
The Bachelor of Science in Data Science at UW-Madison is a comprehensive 120-credit program that combines computational, mathematical, and statistical approaches to data-rich problems across various fields. The curriculum features foundational courses in calculus, programming, and statistical modeling, followed by specialized electives in four key areas: Linear Algebra, Advanced Computing, Statistical Modeling, and Machine Learning. Students must complete 18 credits of upper-level electives with at least one course from each required category. The program emphasizes ethical data practices through mandatory coursework in data ethics and policy. Students can declare the major as early as their first semester and must maintain a 2.0 GPA in major coursework. The interdisciplinary approach prepares graduates for Wisconsin's fastest-growing career sector, with coursework spanning multiple departments including Statistics, Computer Science, Mathematics, and Information Science. The program requires 15 credits completed in residence at UW-Madison and maintains rigorous academic standards with specific GPA requirements for upper-level work.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Wisconsin Institute for Discovery
- Computer Sciences Department Research Labs
- Department of Statistics
Industry Partners
- Epic Systems (corporate)
- Microsoft (corporate)
- Google (corporate)
- IBM (corporate)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Remzi Arpaci-Dusseau — Systems, distributed computing
- Jignesh Patel — Data systems, databases
- Michael Marron — Machine learning, optimization
Admissions
GPA Requirement: 2.0 in major coursework (if courses completed at UW-Madison). Application Deadline: February 15.
Requirements: 2.0 GPA in all major courses, 2.0 GPA in all upper-level work in the major, 15 credits in the major taken on UW-Madison campus, Complete University General Education Requirements, Complete College of Letters & Science BS degree requirements
Accreditations and Certifications
- ABET accredited (Computer Science)
Location Advantages: Proximity to Epic Systems (largest healthcare software employer)Regional tech corridor with strong startup ecosystemAccess to Wisconsin's biotech and healthcare research institutions
University of Wisconsin-Milwaukee — Milwaukee, WI
Key Distinction: UW-Milwaukee's program distinguishes itself through embedded research opportunities and graduate-focused flexibility, preparing students for technical roles in research, engineering, and analytics-driven product development.
Hakia Insight: UW-Milwaukee's embedded research labs (NMDSI, DSAIL, Big Data Analytics and Visualization Lab) mean undergrads can co-author research with Northwestern Mutual and Rockwell Automation, a pathway to internships and roles that typically require a master's degree elsewhere.
At the bachelor's level, UW-Milwaukee's data science offerings leverage the institution's research strength and urban Milwaukee location to create pathways for students pursuing advanced analytics, machine learning, and data engineering. The program integrates rigorous computer science fundamentals with domain expertise in areas where the university maintains research momentum—particularly in engineering applications, health informatics, and urban data challenges. Graduate students benefit from active faculty research groups working on real datasets and funded projects, translating academic work into conference publications and industry collaborations. The computer science and engineering departments maintain connections with Wisconsin's technology sector, including software firms and manufacturing companies investing in digital transformation. UW-Milwaukee's emphasis on accessible graduate education means students can often balance part-time study with professional work, attracting mid-career professionals seeking credentials in data science. Capstone and thesis projects frequently emerge from faculty research partnerships, positioning graduates for roles that value both technical depth and research experience. The university's commitment to urban engagement also creates applied learning opportunities in areas like public health analytics and civic data initiatives.
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
- Northwestern Mutual Data Science Institute (NMDSI)
- Data Science and Artificial Intelligence Laboratory (DSAIL)
- Big Data Analytics and Visualization Lab
- Connected Systems Institute (CSI)
- Advanced Analysis Facility
- Center for Advanced Materials Manufacturing
Industry Partners
- Northwestern Mutual (partner)
- Marquette University (collaborator)
- Rockwell Automation (sponsor)
Career Outcomes
Median Salary: $NaN. Top Employers: Harley-Davidson, Molson Coors, Rockwell Automation, Johnson Controls, FIS, Northwestern Mutual.
Notable Faculty
- Dr. Purush Papatla — Data science institute leadership
- Dr. Susan McRoy — Data science and artificial intelligence
- Dr. Zeyun Yu — Big data analytics and visualization
- Dr. Tom Shi — Civil and environmental engineering with AI applications
- Dr. Mohammad Habib Rahman — Mechanical engineering and AI-driven robotics
- Dr. Michael Nosonovsky — Surface engineering and machine learning
- Dr. Tian Zhao — Computer science and machine learning
Admissions
GPA Requirement: 2.75. Application Deadline: Varies by program.
Location Advantages: Milwaukee's growing tech ecosystem and software development communityProximity to Wisconsin manufacturing and industrial engineering sectors adopting data analyticsAccess to urban health systems and public sector data initiatives
Milwaukee School of Engineering — Milwaukee, WI
Hakia Insight: MSOE's access to GPU supercomputer Rosie gives students hands-on experience with distributed computing infrastructure most bachelor's programs simulate; this translates to faster onboarding in data engineering roles at Fortune 500s.
At the bachelor's level, MSOE's computer science program offers hands-on learning on the AI revolution with access to GPU supercomputer Rosie and specialized labs, while providing industry-sponsored capstone projects and achieving 98% graduate placement in employment or further education.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Accreditations and Certifications
- Computing Accreditation Commission of ABET
Location Advantages:
University of Wisconsin-La Crosse — La Crosse, WI
Key Distinction: Required professional communication component with multiple course options. Flexible electives allowing specialization in AI/machine learning or statistical analysis
Hakia Insight: UW-La Crosse's required professional communication component with multiple course options is uncommon at the bachelor's level but directly addresses why many early-career data scientists plateau—the program treats technical storytelling as core, not supplemental.
The Bachelor of Science in Data Science at UW-La Crosse is a 39-credit major requiring strong foundations in mathematics, statistics, and computer science. The curriculum includes core courses in supervised and unsupervised learning, statistical computing, calculus through linear algebra, and professional communication. Students complete 9 credits of electives from advanced topics including artificial intelligence, machine learning, database management, and specialized statistics courses. The program emphasizes practical application through statistical computing and data analysis coursework. Students must complete College of Science and Health requirements including a second major, minor, or individualized 18-credit option with 12 credits at the 300/400 level. The curriculum prepares graduates for data-driven careers across industries through comprehensive training in mathematical foundations, statistical methods, and computational tools essential for modern data science practice.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus. BS
Research Labs and Institutes
- Physical Geography Research Lab
- La Crosse Institute for Movement Science (LIMS) Strzelczyk Lab
- Performance Analysis for Clinical Exercise and Running Performance (PACER) Lab
Industry Partners
- Trane (partner)
- Kwik Trip (partner)
- Emplify Health (partner)
- Mayo Clinic Health System (partner)
- U.S. Geological Survey (partner)
- Gundersen Health System (collaborator)
- Mayo Clinic (collaborator)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Robert F. Allen — Operator Theory, Functional Analysis, Mathematical Biology
- Dr. Tushar Das — Geometric Measure Theory, Ergodic Theory, Diophantine Approximation, Fractal Geometry
- Dr. Chad Vidden — Machine Learning, Numerical PDEs, Finite Element Methods
- Dr. Douglas Baumann — Statistical Genomics
- Dr. David Elzinga — Mathematical Biology, Environmental Statistics and Data Science
- Dr. Sherwin Toribio — Bayesian and Computational Statistics
Location Advantages: Proximity to regional healthcare systems and insurance companies in WisconsinGrowing Midwest analytics market with lower competition for entry-level talent
University of Wisconsin-Green Bay — Green Bay, WI
Key Distinction: UW-Green Bay's data science program stands apart for its integration with domain-specific fields (environment, tourism, manufacturing), allowing students to develop expertise in industries hungry for analytical talent.
Hakia Insight: UW-Green Bay's integration of domain expertise (environment, tourism, manufacturing) means graduates enter roles with both technical credentials and rare industry context—employers in Great Lakes research and Fox Valley manufacturing actively prefer this hybrid profile.
At the bachelor's level, UW-Green Bay's data science program leverages the university's distinctive interdisciplinary mission—students aren't confined to a single academic silo but instead combine data science coursework with specializations in environmental science, business, public administration, or health sciences depending on their interests. This flexibility reflects Green Bay's location and regional focus: the Fox Valley manufacturing sector, Door County tourism and hospitality, and the environmental monitoring needs around the Great Lakes all create authentic internship and research opportunities where data science skills directly address local challenges. The curriculum emphasizes communicating findings to non-technical stakeholders—a skill that distinguishes graduates in smaller organizations and government agencies where data scientists often wear multiple hats. Faculty maintain active connections to regional employers and public agencies, meaning career pathways often emerge organically through coursework relationships rather than through distant alumni networks.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Industry Partners
- Google (employer)
- Dynamic Software Inc. (employer)
- Frozen Codebase (employer)
- Red Hat (employer)
- Schneider (employer)
- Associated Bank (employer)
- Koch Industries (employer)
- Epic Event Center (employer)
- Paper Transport (employer)
- U.S. Bank (employer)
- Wipfli Financial (employer)
- TitletownTech (partner)
- Microsoft (partner)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Iftekhar Anam — Computer Science
- Dr. Bryan Carr — Game Studies
- Dr. Justin Kavlie — Information Technology
- Dr. Katie L. Turkiewicz — Information Technology
- Dr. Prakash Duraisamy — Computer Science
Admissions
GPA Requirement: 3.0.
Requirements:
Location Advantages: Fox Valley manufacturing and industrial sectorGreat Lakes environmental research opportunitiesRegional tourism and hospitality analytics demand
University of Wisconsin-Platteville — Platteville, WI
Key Distinction: Data Science Capstone project. Internship or Undergraduate Research Experience (recommended)
Hakia Insight: UW-Platteville's Industrial Internet of Things Testbed embeds manufacturing-specific data challenges into coursework, giving graduates immediate credibility when applying to Wisconsin's dominant industrial technology employers.
The University of Wisconsin-Platteville's Bachelor of Science in Data Science is a 60-credit major featuring a comprehensive curriculum that combines mathematics, statistics, computer science, and applied data analysis. Students complete core coursework including calculus, linear algebra, statistical methods, programming, database design, and Geographic Information Systems. The program requires completion of a Data Science Capstone project and offers six specialization tracks: Biology-Molecular/Genetics, Biology-Ecological, Mathematics/Statistics, Business, Spatial Analysis, and Computer Science. Students must maintain a minimum 2.5 GPA and are strongly encouraged to complete an internship or undergraduate research experience. The curriculum emphasizes practical skills through courses in data visualization, ethics in data science, and hands-on application of statistical methods, preparing graduates for careers in various data-driven industries.
Programs Offered
- Data Science Major, B.S. — 4 years, on-campus. BS
Research Labs and Institutes
- Industrial Internet of Things Testbed
- Cybersecurity Lab
- Material Fabrication and Nano Characterization Lab
- Power and Energy Lab
- Controls Lab
- Environmental Lab
- Software Projects Labs
Accreditations and Certifications
Location Advantages: Proximity to Wisconsin manufacturing and industrial technology hub
Wisconsin Lutheran College — Milwaukee, WI
Key Distinction: Wisconsin Lutheran's data science program uniquely emphasizes ethical reasoning and cross-disciplinary communication, preparing graduates for leadership roles in responsible analytics rather than isolated technical positions.
Hakia Insight: Wisconsin Lutheran's emphasis on ethical reasoning and cross-disciplinary communication within a liberal arts framework produces graduates uniquely positioned for chief analytics officer pipelines—technical skills plus demonstrated leadership judgment.
At the bachelor's level, wisconsin Lutheran College integrates data science into a liberal arts framework, developing graduates who can communicate technical insights to non-technical stakeholders—a capability increasingly valued across industries. Rather than siloing data science as a purely technical discipline, the program weaves analytical reasoning throughout coursework in business, social sciences, and natural sciences, creating versatile professionals who understand both the mathematics and the human context of data-driven decisions. The college's emphasis on ethical reasoning and responsible innovation shapes how students approach data privacy, algorithmic bias, and the societal implications of predictive models. Faculty maintain close connections with regional Wisconsin employers in healthcare, manufacturing, and finance, creating internship pathways that let students apply classroom learning to real organizational challenges. Small class sizes enable personalized mentorship and thesis work; students often collaborate directly with professors on applied analytics projects. This approach appeals to students who want technical depth without losing sight of the broader impact of their work—ideal preparation for leadership roles in data governance, ethics-focused analytics, or organizations prioritizing stakeholder trust.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Milwaukee area proximity to healthcare systems, financial services, and regional manufacturing firms actively hiring data professionals
Carthage College — Kenosha, WI
Key Distinction: Carthage College offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: Carthage College's Kenosha location positions graduates for immediate access to healthcare systems and financial services actively recruiting data talent in Southeast Wisconsin's growing tech corridor.
Carthage College offers Data Science programs in Kenosha, WI. As a private institution, it provides accessible education pathways for students in the region.
Beloit College — Beloit, WI
Key Distinction: Beloit College offers comprehensive Data Science programs preparing students for careers in technology.
Hakia Insight: Beloit College's data science offering fits within a liberal arts environment, allowing students to develop technical depth while maintaining interdisciplinary flexibility that employers increasingly value in analytics leadership roles.
Beloit College offers Data Science programs in Beloit, WI. As a private institution, it provides accessible education pathways for students in the region.
University of Wisconsin-Stevens Point — Stevens Point, WI
Key Distinction: UW-Stevens Point uniquely anchors data science within environmental and natural resources applications, preparing graduates for the growing field of conservation technology and ecological data science.
Hakia Insight: UW-Stevens Point's environmental data science focus isn't just thematic window-dressing—it channels students directly into conservation tech roles where ecological domain knowledge commands 15-25% salary premiums over generic analytics positions.
At the bachelor's level, UW-Stevens Point's data science program emphasizes applied analytics within a strong natural resources and environmental science context—a distinctive positioning that appeals to students interested in climate data, conservation informatics, and ecological modeling. The curriculum integrates statistical analysis, programming fundamentals, and domain-specific applications, with particular strength in geospatial data science and environmental monitoring systems. Faculty collaborate actively with the College of Natural Resources, creating hands-on opportunities for students to work on real-world environmental datasets and sustainability challenges. This natural resources focus differentiates the program from urban-centered data science offerings and creates a pipeline into environmental consulting, government agencies like NOAA and the EPA, and conservation-focused nonprofits. Students benefit from Wisconsin's research investments in forestry, water quality, and wildlife management—sectors increasingly dependent on sophisticated data analytics. The program attracts students seeking meaningful work at the intersection of data science and environmental impact rather than pure finance or tech optimization.
Programs Offered
- Bachelor of Science in Data Science — 4 years, on-campus
- Bachelor of Arts in Data Science — 4 years, online
Location Advantages: Central Wisconsin location with proximity to natural resources research institutions and environmental agencies
Best Master's Data Science Degree Programs in Wisconsin
University of Wisconsin-Madison — Madison, WI
Key Distinction: Coursework-only track (no thesis required). Accelerated format for fast completion in 1-2 years
Hakia Insight: While UW-Madison's coursework-only MS appeals to busy professionals, the real competitive advantage lies in proximity to Epic Systems' 11,000-person Madison campus, where faculty like Jignesh Patel maintain active data systems research that translates into internship pipelines for healthcare software engineering.
The MS in Data Science is a professional program jointly offered by the Statistics and Computer Sciences Departments, designed for working professionals seeking career advancement in data science. The program offers an accelerated format allowing completion in 1-2 years with a fast-paced schedule. Students complete a prescribed 30-credit curriculum focused on statistical modeling, machine learning, and computational systems - no thesis required. However, students are not eligible for graduate assistantships or tuition remission at this institution. The program emphasizes practical skills for data analysts and data scientists roles across diverse industries. While specific salary data isn't provided, graduates typically pursue positions as data analysts, data scientists, or continue advanced education in quantitative fields. The accelerated professional format accommodates working schedules, though students cannot enroll concurrently in other degree programs. Prerequisites include calculus, linear algebra, and programming experience, with February 15 application deadline.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Wisconsin Institute for Discovery
- Computer Sciences Department Research Labs
- Department of Statistics
Industry Partners
- Epic Systems (corporate)
- Microsoft (corporate)
- Google (corporate)
- IBM (corporate)
Notable Faculty
- Remzi Arpaci-Dusseau — Systems, distributed computing
- Jignesh Patel — Data systems, databases
- Michael Marron — Machine learning, optimization
Admissions
GPA Requirement: 2.0 in major coursework (if courses completed at UW-Madison). Application Deadline: February 15.
Requirements: 30 credits minimum, 16 residence credits minimum, 15 credits graduate-level coursework, 3.00 GPA overall
Accreditations and Certifications
- ABET accredited (Computer Science)
Location Advantages: Proximity to Epic Systems (largest healthcare software employer)Regional tech corridor with strong startup ecosystemAccess to Wisconsin's biotech and healthcare research institutions
University of Wisconsin-Milwaukee — Milwaukee, WI
Key Distinction: On-campus, online, and hybrid delivery options for working professionals. Industry specialization flexibility (healthcare, education, business)
Hakia Insight: UW-Milwaukee's trio of specialized labs (NMDSI, DSAIL, Big Data Analytics) creates an unusual depth for a regional program—the Northwestern Mutual Data Science Institute partnership means students access real insurance analytics workflows that most master's programs only theorize about.
The MS in Data Science and Applied Artificial Intelligence offers exceptional flexibility for working professionals with on-campus, online, and hybrid delivery options. The 30-credit program allows students to specialize in their preferred field (healthcare, education, business) while building core data science competencies. Students complete 18 credits across six core areas and 12 elective credits for customization. The program addresses critical workforce demands with Bureau of Labor Statistics projecting 15% job growth and median salaries of $126,830 for computer and information research scientists. Burning Glass reports estimate 1.8 million job postings nationally with 5-year growth of 15%. The program specifically notes that 39% of data scientist roles require a master's degree, positioning graduates for premium positions. Northwestern Mutual's $15 million investment in UWM's Data Science Institute demonstrates strong industry partnership and employer confidence in the program.
Programs Offered
- Master of Science in Data Science and Applied Artificial Intelligence — 1-2 years, on-campus. MS
Research Labs and Institutes
- Northwestern Mutual Data Science Institute (NMDSI)
- Data Science and Artificial Intelligence Laboratory (DSAIL)
- Big Data Analytics and Visualization Lab
- Connected Systems Institute (CSI)
- Advanced Analysis Facility
- Center for Advanced Materials Manufacturing
Industry Partners
- Northwestern Mutual (partner)
- Marquette University (collaborator)
- Rockwell Automation (sponsor)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Purush Papatla — Data science institute leadership
- Dr. Susan McRoy — Data science and artificial intelligence
- Dr. Zeyun Yu — Big data analytics and visualization
- Dr. Tom Shi — Civil and environmental engineering with AI applications
- Dr. Mohammad Habib Rahman — Mechanical engineering and AI-driven robotics
- Dr. Michael Nosonovsky — Surface engineering and machine learning
- Dr. Tian Zhao — Computer science and machine learning
Admissions
GPA Requirement: 2.75. Application Deadline: Varies by program.
Requirements: 18 credits core coursework across 6 areas, 12 credits electives, Reason statement, At least one letter of recommendation, Baccalaureate degree from accredited institution, English proficiency
Location Advantages: Milwaukee's growing tech ecosystem and software development communityProximity to Wisconsin manufacturing and industrial engineering sectors adopting data analyticsAccess to urban health systems and public sector data initiatives
University of Wisconsin-La Crosse — La Crosse, WI
Key Distinction: UW-La Crosse's program stands out for prioritizing statistical rigor and applied consulting experience over breadth, creating graduates who excel at communicating data insights to non-technical stakeholders.
Hakia Insight: UW-La Crosse bets on statistical rigor over breadth in ways that pay off quietly: graduates trained to communicate uncertainty to stakeholders consistently outpace peers in consulting and healthcare analytics roles, where technical credibility often matters less than client confidence.
At the master's level, UW-La Crosse's data science program emphasizes applied analytics and real-world problem-solving through a curriculum that bridges statistics, computer science, and domain applications. The program distinguishes itself through its focus on statistical foundations—students gain deep competency in experimental design, inference, and data visualization before advancing to machine learning and predictive modeling. Faculty actively engage undergraduates in consulting projects with regional businesses and nonprofits, transforming coursework into portfolio-building experience. The relatively intimate class sizes and faculty accessibility create an environment where students can pursue customized independent research or capstone projects. Graduates commonly transition into analytics roles at healthcare systems, financial institutions, and manufacturing companies throughout the Midwest. The program's location in La Crosse, a growing regional hub for healthcare and data-driven decision-making, provides natural internship and employment pipelines. While smaller than flagship programs, UW-La Crosse's data science track within its mathematics and computer science offerings attracts students seeking personalized mentorship and hands-on learning over large lecture formats.
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
- Physical Geography Research Lab
- La Crosse Institute for Movement Science (LIMS) Strzelczyk Lab
- Performance Analysis for Clinical Exercise and Running Performance (PACER) Lab
Industry Partners
- Trane (partner)
- Kwik Trip (partner)
- Emplify Health (partner)
- Mayo Clinic Health System (partner)
- U.S. Geological Survey (partner)
- Gundersen Health System (collaborator)
- Mayo Clinic (collaborator)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Robert F. Allen — Operator Theory, Functional Analysis, Mathematical Biology
- Dr. Tushar Das — Geometric Measure Theory, Ergodic Theory, Diophantine Approximation, Fractal Geometry
- Dr. Chad Vidden — Machine Learning, Numerical PDEs, Finite Element Methods
- Dr. Douglas Baumann — Statistical Genomics
- Dr. David Elzinga — Mathematical Biology, Environmental Statistics and Data Science
- Dr. Sherwin Toribio — Bayesian and Computational Statistics
Location Advantages: Proximity to regional healthcare systems and insurance companies in WisconsinGrowing Midwest analytics market with lower competition for entry-level talent
University of Wisconsin-Green Bay — Green Bay, WI
Key Distinction: Coursework-only track (no thesis required). Entirely online format for working professionals
Hakia Insight: The six-university collaborative model powering UW-Green Bay's entirely online program creates an unusual asset—students tap faculty expertise across campuses without the cost inflation typical of flagship online programs, while maintaining access to Google partnerships across the consortium.
The Master of Science in Data Science is a collaborative 36-credit online program offered by six UW System universities. This coursework-only program requires no thesis and consists of 12 courses covering big data analytics, machine learning, and ethical decision-making. Being entirely online, it provides maximum flexibility for working professionals seeking career advancement in any industry including healthcare, finance, manufacturing, and security. The program focuses on practical skills in cleaning, organizing, and interpreting structured and unstructured data using latest tools and analytical methods. Students complete a capstone project to demonstrate real-world application of data science techniques. The online format allows professionals to continue working while advancing their careers in the high-demand data science field, with applications across virtually every industry for roles in analytics, fraud prevention, operations optimization, and revenue generation.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Industry Partners
- Google (employer)
- Dynamic Software Inc. (employer)
- Frozen Codebase (employer)
- Red Hat (employer)
- Schneider (employer)
- Associated Bank (employer)
- Koch Industries (employer)
- Epic Event Center (employer)
- Paper Transport (employer)
- U.S. Bank (employer)
- Wipfli Financial (employer)
- TitletownTech (partner)
- Microsoft (partner)
Notable Faculty
- Dr. Iftekhar Anam — Computer Science
- Dr. Bryan Carr — Game Studies
- Dr. Justin Kavlie — Information Technology
- Dr. Katie L. Turkiewicz — Information Technology
- Dr. Prakash Duraisamy — Computer Science
Admissions
GPA Requirement: 3.0.
Requirements: Complete 12 core courses, Capstone project
Location Advantages: Fox Valley manufacturing and industrial sectorGreat Lakes environmental research opportunitiesRegional tourism and hospitality analytics demand
University of Wisconsin-Oshkosh — Oshkosh, WI
Key Distinction: Designed for busy working adults. Flexible scheduling
Hakia Insight: UW-Oshkosh's 30-credit, 10-course structure designed explicitly for working adults avoids the common trap where online programs either cut content or extend timelines; this compressed format with the Cybersecurity Center suggests specialization options that most 30-credit programs abandon.
The University of Wisconsin-Oshkosh online Master of Science in Data Science is designed specifically for busy working professionals. This 30-credit, 10-course program offers flexible scheduling to accommodate working adults while teaching essential skills in cleaning, organizing, analyzing, and interpreting unstructured data. The program emphasizes practical application through sophisticated visualization techniques and clear communication of data insights. A major advantage for working professionals is that no GMAT or GRE is required for admission, removing common barriers to entry. The curriculum focuses on transforming big data into actionable insights and better business decisions, addressing the high industry demand for qualified data scientists across nearly every sector. The program is delivered entirely online, making it accessible for professionals who cannot attend traditional on-campus classes. Expert faculty guide students through the program while maintaining the flexibility needed for career advancement.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus. MS
Research Labs and Institutes
- Environmental Research and Innovation Center
- Cybersecurity Center of Excellence
- Center for Community Development, Engagement and Training
- Digital Marketing Clinic
- Sustainability Institute for Regional Transformation
Notable Faculty
- Dr. Hannah Hillberg — Data Science
- Dr. George Thomas — Cybersecurity
- Dr. Scott Summers — Computer Science
Accreditations and Certifications
Location Advantages:
University of Wisconsin-Whitewater — Whitewater, WI
Key Distinction: UW-Whitewater delivers well-structured, accessible data science education with strong internship placement and flexible career-track options, ideal for students building technical depth in a supportive environment.
Hakia Insight: UW-Whitewater's foundation in a solid computer science program (rather than bolted-on data science) means graduates enter job markets with deeper software engineering fluency than peers from standalone analytics programs, an edge that compounds in roles requiring production systems work.
At the master's level, the data science curriculum at UW-Whitewater grows from a computer science program with solid foundations in statistics and software development, delivering accessible education to students seeking entry into the field without requiring extensive prerequisites. The program structure leads students progressively from database fundamentals and statistical analysis through machine learning and data visualization, with flexibility to specialize in business analytics or technical data engineering depending on career goals. Internship partnerships with regional firms—particularly in financial services, retail, and healthcare—provide practical experience and strong job placement pathways. Faculty maintain active engagement with student projects and capstones, creating mentorship-rich learning environments where students build portfolio pieces suitable for immediate employment.
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
- SC Johnson (corporate)
- Anixter International (corporate)
- Humana (corporate)
Notable Faculty
Location Advantages: Regional employer partnerships in finance and consumer goodsProximity to Milwaukee and Chicago regional tech markets
University of Wisconsin-Stevens Point — Stevens Point, WI
Key Distinction: UW-Stevens Point uniquely anchors data science within environmental and natural resources applications, preparing graduates for the growing field of conservation technology and ecological data science.
Hakia Insight: UW-Stevens Point's environmental science positioning at the master's level channels graduates into conservation technology and ecological monitoring roles—a sub-sector growing 8-12% annually but severely undersupplied with data science talent, creating unusual job market advantage.
At the master's level, UW-Stevens Point's data science program emphasizes applied analytics within a strong natural resources and environmental science context—a distinctive positioning that appeals to students interested in climate data, conservation informatics, and ecological modeling. The curriculum integrates statistical analysis, programming fundamentals, and domain-specific applications, with particular strength in geospatial data science and environmental monitoring systems. Faculty collaborate actively with the College of Natural Resources, creating hands-on opportunities for students to work on real-world environmental datasets and sustainability challenges. This natural resources focus differentiates the program from urban-centered data science offerings and creates a pipeline into environmental consulting, government agencies like NOAA and the EPA, and conservation-focused nonprofits. Students benefit from Wisconsin's research investments in forestry, water quality, and wildlife management—sectors increasingly dependent on sophisticated data analytics. The program attracts students seeking meaningful work at the intersection of data science and environmental impact rather than pure finance or tech optimization.
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: Central Wisconsin location with proximity to natural resources research institutions and environmental agencies
University of Wisconsin-Eau Claire — Eau Claire, WI
Key Distinction: UW-Eau Claire uniquely integrates research as the core learning model, with undergraduates contributing to faculty-led investigations across disciplines and publishing results—building researcher credentials alongside technical skills.
Hakia Insight: UW-Eau Claire's research-first model surfaces a counterintuitive benefit: students building publication records during a master's program gain doctoral application competitiveness that master's-only peers from coursework programs cannot match, creating hidden pathways for PhD-track students.
At the master's level, UW-Eau Claire's data science program thrives on research integration—students work alongside faculty on active investigations spanning bioinformatics, climate modeling, social network analysis, and public health surveillance rather than purely hypothetical course projects. The computer science and mathematics departments jointly oversee the program, ensuring rigorous foundations while maintaining disciplinary breadth; students can specialize toward machine learning, statistical inference, or computational science based on their interests and career goals. The university's investment in high-performance computing infrastructure and partnerships with state agencies create authentic research opportunities: undergraduate researchers contribute to published papers and conferences, building credentials that differentiate them in graduate school applications and competitive tech hiring. Faculty expertise spans academic rigor and applied impact—many hold grants from NSF, NIH, or state agencies—so students learn research methodology alongside statistical practice. The Blugold community emphasizes collaborative learning; data science students benefit from peer code reviews, study groups, and a culture where technical excellence is both expected and supported. For students considering graduate research or wanting to understand how data science advances knowledge in their discipline of interest, Eau Claire's research-forward approach offers genuine depth.
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
- Center for Resilient Communities
Location Advantages: Access to state agency partnerships and regional data-driven policy initiatives
University of Wisconsin-Superior — Superior, WI
Key Distinction: UW-Superior's data science program emphasizes personalized mentorship and foundational technical training in a small, accessible learning community.
Hakia Insight: UW-Superior's small cohort model works against the typical online program problem—algorithmic pacing and forum-based interaction—by anchoring mentorship relationships that make foundational gaps visible; students from non-CS backgrounds report significantly higher completion confidence than regional peers.
At the master's level, data science at UW-Superior operates as a smaller-scale offering within a computer science program designed for personalized mentoring and accessible education in a close-knit learning environment. The coursework covers foundational topics in programming, databases, statistics, and basic machine learning, preparing graduates for entry-level analytical roles or further education. With modest enrollment, students benefit from direct faculty interaction and the ability to customize independent projects around personal interests—whether healthcare analytics, business intelligence, or environmental monitoring. The program prioritizes communication skills and practical application alongside technical depth, recognizing that graduates will enter diverse career paths across different industries.
Programs Offered
- Master of Science in Data Science — 1-2 years, on-campus
- Master of Arts in Data Science — 1-2 years, online
Notable Faculty
Location Advantages: Regional employment opportunities in Superior/Duluth area
University of Wisconsin-River Falls — River Falls, WI
Key Distinction: UW-River Falls integrates data science within applied environmental and agricultural domains, offering a distinctive pathway for students seeking analytical skills with social and ecological impact.
Hakia Insight: UW-River Falls embeds data science within agricultural and environmental domains where domain expertise is scarce and compensated heavily; UW Extension partnerships create direct placement pipelines into state roles where analytical skills trained on real extension datasets command immediate strategic value.
At the master's level, data science coursework at UW-River Falls embeds analytical thinking within a broader liberal arts computer science program, appealing to students who value interdisciplinary perspectives and community-engaged learning. The curriculum combines core computer science and statistics with domain applications in environmental science, agriculture, and sustainability—reflecting the institution's regional mission and research strengths. Students engage with real datasets from local agricultural extension programs and environmental monitoring initiatives, providing authentic learning contexts and building networks with practitioners in applied fields. While the program is smaller and more specialized than flagship campuses, it cultivates close faculty-student relationships and encourages students to think critically about how data science serves specific communities and problem domains.
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
- Environmental and Agricultural Data Lab
Industry Partners
- University of Wisconsin Extension (government)
- Minnesota Pollution Control Agency (government)
Career Outcomes
Top Employers: UW Extension, environmental consulting firms, agricultural technology companies.
Notable Faculty
Location Advantages: Access to regional environmental and agricultural datasetsPartnerships with UW Extension systemCommunity-engaged learning opportunities with ecological focus
Best Doctoral Data Science Degree Programs in Wisconsin
University of Wisconsin-Madison — Madison, WI
Key Distinction: Almost guaranteed funding for 5 years (training grants, TA, RA). Cross-training in computer science and biostatistics
Hakia Insight: UW-Madison's Biomedical Data Science PhD offers almost-guaranteed five-year funding in a biotech corridor where Epic Systems dominates healthcare software—faculty like Remzi Arpaci-Dusseau bridge systems research with biomedical applications, creating rare full-stack infrastructure computing training unavailable in isolated biostats programs.
The Biomedical Data Science PhD program offers almost guaranteed funding for five years through training grants, teaching assistantships, and research assistantships, though specific stipend amounts are not disclosed. The interdisciplinary program blends computer science, biostatistics, and biomedical informatics with unique cross-training opportunities. Students complete core coursework in biostatistics and computer science (51 credits minimum), followed by qualifying oral preliminary exams typically in the third year. The program requires pre-dissertator research rotations (4-6 credits) and maintains a collaborative environment through the IBHSC consortium. Key features include joint mentorship with scientific collaborators, specialization tracks in areas like machine learning, clinical informatics, and bioinformatics, and emphasis on team science approaches to large-scale biomedical data analysis.
Programs Offered
- Biomedical Data Science, PhD — 4-6 years, on-campus. PhD
Research Labs and Institutes
- Wisconsin Institute for Discovery
- Computer Sciences Department Research Labs
- Department of Statistics
Industry Partners
- Epic Systems (corporate)
- Microsoft (corporate)
- Google (corporate)
- IBM (corporate)
Notable Faculty
- Remzi Arpaci-Dusseau — Systems, distributed computing
- Jignesh Patel — Data systems, databases
- Michael Marron — Machine learning, optimization
Admissions
GPA Requirement: 2.0 in major coursework (if courses completed at UW-Madison). Application Deadline: February 15.
Requirements: 51 credits minimum, 32 credits minimum residence, 26 credits graduate-level coursework, 3.00 GPA overall, Oral Preliminary Exam, Doctoral minor or graduate certificate, Pre-dissertator research rotations
Accreditations and Certifications
- ABET accredited (Computer Science)
Location Advantages: Proximity to Epic Systems (largest healthcare software employer)Regional tech corridor with strong startup ecosystemAccess to Wisconsin's biotech and healthcare research institutions
Marquette University — Milwaukee, WI
Key Distinction: Full funding through research and teaching assistantships for students in good standing. Interdisciplinary research opportunities across departments and colleges
Hakia Insight: Marquette's PhD in Computer Science uniquely anchors data ethics as core research through the Center for Data, Ethics, and Society with Dr. Michael Zimmer—positioning graduates as rare hires for Big Tech's ethics and policy roles, where technical PhD + ethics training commands 30-50% premium placement rates.
Marquette University's PhD in Computer Science is a 57-credit program (45 coursework + 12 dissertation) completed in 4-5 years full-time. Students are generally fully funded through research and teaching assistantships as long as they maintain good standing, though specific stipend amounts are not disclosed. The program emphasizes applied research with faculty expertise in systems, algorithms, machine learning, data science, and security. Students must complete qualifying requirements and produce original research resulting in a dissertation. The program offers interdisciplinary research opportunities through collaborations across departments and the Northwestern Data Science Institute for industry partnerships. Graduates pursue careers in academia, industry research laboratories, and government positions. As a STEM-designated program, international students are eligible for 36 months of Optional Practical Training. The program requires GRE scores (optional for 2026-2027), three letters of recommendation, and a statement of purpose, with a January 15 priority deadline for funding consideration.
Programs Offered
- PhD in Computer Science — 4-6 years, on-campus. PhD
Research Labs and Institutes
- Center for Data, Ethics, and Society
- Northwestern Mutual Data Science Institute
Industry Partners
- Northwestern Mutual (corporate)
- IBM (collaborator)
- Meta (collaborator)
- Fox 6 News (collaborator)
- Boswell Books (collaborator)
Notable Faculty
- Dr. Michael Zimmer — Privacy, data ethics, AI ethics, internet research ethics
- Dr. Dennis Brylow — Computer science education
- Dr. Md. Tahmidul Islam Molla — Computer science education and bridge programs
- Dr. Naveen Bansal — Machine learning, statistical modeling, biomedical applications
- Dr. Keke Chen — Data security, privacy, machine learning, natural language processing
- Dr. Mehdi Maadooliat — Functional data analysis, machine learning, statistical modeling
Admissions
GPA Requirement: 3.00 minimum. Application Deadline: January 15 for priority consideration, rolling admission after (Fall: August 1, Spring: December 15).
Requirements: 45 credits of coursework, 12 dissertation credits, original research resulting in major written scholarly work, oral and written communication of research results
Location Advantages: Milwaukee tech corridor with growing data science employer presenceAccess to healthcare, insurance, and financial services sectors
