University campus in Wisconsin
Updated June 26, 2026

Best Data Science Degree Programs in Wisconsin, 2026 Rankings

Compare the top data science colleges in Wisconsin. 24 accredited data science schools ranked by graduation rate, career outcomes, and value, from Gateway Technical College to University of Wisconsin-Madison.

#1 ProgramU of Wisconsin-Madison
Avg Salary$103,360
Tuition From$4,386/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

18

Programs ranked

IPEDS 2024

$103,360

Wisconsin median data science salary

BLS OEWS 2024

95.1/100

Top program score

Hakia methodology

36%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best data science degree programs: U of Wisconsin-Madison, U of Wisconsin-Milwaukee, Milwaukee School of Engin...

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $4,386 to $58,042/year

Gateway Technical College offers the most affordable option at $4,386/yr

IPEDS 2024

Data Science degree programs available: 3 associate's, 10 master's, 2 doctoral in Wisconsin

From community college pathways to advanced research degrees

IPEDS 2024

3 online data science degree programs in Wisconsin

Flexible scheduling for working professionals

IPEDS 2024

Wisconsin community college transfer can save 40-60% on total degree costs

3 associate's programs provide transfer pathways to bachelor's degrees

Education Commission of the States

Major employers: Epic Systems, Rockwell Automation, Northwestern Mutual, Exact Sciences

Tech hubs in Madison and Milwaukee

Hakia Research 2026

Data Science degree programs near 45+ cities across Wisconsin

Search by city to find programs within 200 miles of your location

IPEDS 2024

Updated June 26, 2026

How we ranked Wisconsin Data Science programs

We rank 33 accredited data science programs in Wisconsin using IPEDS 2024 institutional data, BLS OEWS 2024 state salary data, and College Scorecard outcomes. A 4-factor weighted composite is normalized to a 0–100 score. Schools cannot pay for placement; rankings are produced algorithmically.

Program completions (35%)Graduation rate (25%)Selectivity (20%)Career outcomes (20%)
See full methodology
$103,360
Are Data Science Degree Programs in Wisconsin Worth It?
Yes. The best data science degree programs in Wisconsin deliver strong ROI, graduates earn $103,360 median salary with +22% job growth through 2032. In-state tuition averages $22,385/year.

Source: BLS OEWS May 2024

Data Science Degree Rankings in Wisconsin

Compare the top-ranked Data Science programs in Wisconsin by degree level. Tuition, graduation rate, and Hakia Score for every accredited program.

Best Associate's Data Science Programs in Wisconsin

3
Programs ranked
$4,485
Avg tuition/yr
41%
Avg grad rate

Program Landscape

Wisconsin offers 3 accredited associate's degree programs in data science, providing an affordable entry point into the technology field. The top-ranked programs include Gateway Technical College, Waukesha County Technical..., Fox Valley Technical College, which combine rigorous technical curriculum with practical skills training.

Costs & Value

Community colleges in Wisconsin offer these two-year programs at an average cost of $4,386/yr, significantly less than four-year university tuition. Students completing associate's degrees can pursue entry-level technical positions and transfer opportunities, with entry-level salaries averaging $56,848 in Wisconsin.

Career Pathways

Many programs feature guaranteed transfer agreements with Wisconsin's public universities, allowing students to complete their first two years at reduced cost before transferring to complete a bachelor's degree. The Madison, Milwaukee areas offer particularly strong job markets for associate's degree holders, with employers like Epic Systems, Rockwell Automation, Northwestern Mutual hiring for technical support, junior development, and IT specialist positions.

Curriculum & Specializations

Programs typically include coursework in programming fundamentals, database management, networking basics, and software development. Among data science schools in Wisconsin, these associate's programs offer the best value for students beginning their data science degrees in Wisconsin.

Best Bachelor's Data Science Programs in Wisconsin

7
Programs ranked
$23,870
Avg tuition/yr
65%
Avg grad rate

Program Landscape

Wisconsin ranks among the nation's top destinations for data science education, with 18 accredited bachelor's degree programs across 8 public and 10 private institutions. The highest-ranked programs are U of Wisconsin-Madison, U of Wisconsin-Milwaukee, Milwaukee School of Engin..., recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Wisconsin data science programs earn a median salary of $87,856, 11% below the national average. The state's robust technology sector, anchored by the Madison, Milwaukee metropolitan areas, provides abundant internship and employment opportunities with companies including Epic Systems, Rockwell Automation, Northwestern Mutual.

Costs & Value

Tuition ranges from $6,767 to $58,042 annually, with an average of $27,933/yr. Top programs maintain graduation rates above 88%, with the highest reaching 99%. Many programs hold ABET accreditation, the gold standard for computing education, ensuring curriculum meets rigorous industry standards.

Curriculum & Specializations

Students can choose from specializations including software engineering, cybersecurity, artificial intelligence, data science, and systems architecture. Strong industry partnerships provide access to co-op programs, capstone projects with real companies, and direct recruiting pipelines to Wisconsin's leading technology employers. For students seeking data science degrees in Wisconsin, these top-ranked data science schools offer the strongest combination of academic rigor and career preparation.

🥈
Beloit College
Beloit, WIPrivate nonprofit
$60,364
Tuition/yr
71%
Grad rate
77.9
Hakia Score
#5
Carthage College
Kenosha, WIPrivate nonprofit
$38,750
Tuition/yr
64%
Grad rate
67.2
Hakia Score
Show all 7 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6University of Wisconsin-PlattevillePlatteville, WIPublic$7,12656%65.9
#7University of Wisconsin-MilwaukeeMilwaukee, WIPublic$8,77249%63.2

Best Master's Data Science Programs in Wisconsin

8
Programs ranked
$7,961
Avg tuition/yr
58%
Avg grad rate

Program Landscape

Wisconsin offers 10 master's degree programs in data science, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, U of Wisconsin-Madison, U of Wisconsin-Milwaukee, U of Wisconsin-La Crosse, combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in Wisconsin earn a median salary of $103,360, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Madison, Milwaukee creates strong demand for graduate-level talent, with Epic Systems, Rockwell Automation, Northwestern Mutual actively recruiting from these programs.

Costs & Value

Program formats include traditional full-time study (typically 2 years), part-time options for working professionals (2-3 years), and accelerated tracks. Tuition averages $7,488/yr, with many employers offering tuition reimbursement for graduate education. Some programs offer thesis and non-thesis tracks, allowing students to focus on research or professional development based on their career goals.

Curriculum & Specializations

Curriculum covers advanced topics including machine learning, distributed systems, software architecture, and technical management. Many programs include practicum experiences, industry capstone projects, or consulting engagements that provide real-world application of advanced concepts. Among Wisconsin's data science schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Show all 8 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6University of Wisconsin-MilwaukeeMilwaukee, WIPublic$8,77249%62.0
#7University of Wisconsin-Stevens PointStevens Point, WIPublic$7,37851%59.4
#8University of Wisconsin-SuperiorSuperior, WIPublic$7,08142%56.1

Data Science Degree Costs & Tuition in Wisconsin

MetricValue
Average in-state tuition$22,385/year
Average out-of-state tuition$55,963/year
Community college tuition$5,596/year
4-year savings for residents$134,312
2+2 transfer pathway savings$33,578

Source: IPEDS 2024

Financial Aid & Scholarships for Data Science Students in Wisconsin

State Aid Programs

Wisconsin students pursuing data science degrees have access to strong financial aid options through both federal and state programs. The primary state resource is the Wisconsin Grant, a need-based grant program specifically designed for Wisconsin residents attending University of Wisconsin System institutions (Wisconsin Grant). This program complements federal aid available through the Free Application for Federal Student Aid (FAFSA), which determines eligibility for Pell Grants, federal loans, and work-study opportunities (Federal Student Aid). All prospective students should complete the FAFSA to unlock these funding pathways.

Key Programs & Amounts

Beyond grants and loans, many Wisconsin institutions offer institutional scholarships and merit-based aid specifically for data science and STEM majors. The University of Wisconsin System's Universal Credit Transfer Agreement (UCTA) (Universal Credit Transfer Agreement) guarantees the transfer of general education credits within the system, allowing students to start at more affordable community colleges and seamlessly transition to four-year programs while maintaining financial aid eligibility. Students should contact their institution's financial aid office to explore discipline-specific scholarships, employer partnerships, and graduate assistantship opportunities. Additional resources are available through the College Scorecard, which provides net price calculators for individual institutions. For comprehensive guidance, visit Federal Student Aid to understand loan repayment options and income-driven plans relevant to data science career paths.

Data Science Degree ROI Calculator, Wisconsin

Use our interactive ROI calculator to estimate your return on investment for a data science degree in Wisconsin. Enter your expected tuition costs, financial aid, and career goals to see projected payback periods and lifetime earnings. The calculator uses current salary data from BLS and tuition data from IPEDS to provide accurate estimates.

Data Science Degree ROI Calculator

Estimate your return on investment for a data science degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+697%

Net gain divided by total investment. ROI above 200% is considered excellent for education investments.

Net Gain

$1,289,731

Your additional lifetime earnings with this degree vs. working without one, minus the total investment.

Break-Even

6 years

Years until your cumulative earnings exceed total investment. Shorter programs often break even faster due to lower opportunity cost.

COL-Adjusted Salary

$114,286

Your starting salary adjusted for local cost of living. This shows real purchasing power compared to a $100K national baseline.

Why does break-even change with program type? Your "total investment" includes both tuition AND opportunity cost (foregone earnings while in school). A 4-year full-time public university (in-state) means 4 years of not earning a salary ($140,000 in opportunity cost). Shorter full-time programs may have higher tuition but lower total investment because you return to the workforce sooner.

Detailed Breakdown

How we calculate your degree ROI using real salary data

Total Investment$185,000

Tuition plus opportunity cost (earnings you miss while in school)

Program Cost (Tuition)$45,000

Direct cost of the degree program

Opportunity Cost$140,000

4 years × $35K/year foregone salary while studying full-time

20-Year Earnings (with degree)$2,325,139

Projected career earnings starting after graduation, with salary growth

20-Year Earnings (without degree)$850,408

What you'd earn working at $35K/year with 2% annual growth

Starting Salary (Austin, TX)$120,000

Median salary for this role in your selected location (BLS 2024)

Annualized Return4.1%

Your investment's compound annual growth rate (similar to stock market returns)

Data sources: BLS OEWS May 2024, IPEDS 2024. Calculations use median salaries, 3% discount rate, and assume salary growth declines from 6% to 2% over career. Individual results will vary. | Powered by Hakia.com

Data Science Salaries by Metro Area

Median annual salary in Wisconsin metro areas

Madison$114K
Milwaukee$109K
View data table
CategoryValue
Madison$114K
Milwaukee$109K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Data Science Graduates in Wisconsin

Find data science jobs in Wisconsin. These major employers across Wisconsin metro areas are actively hiring data science degree holders. Click employer names to view current job openings.

Data Science Jobs in Madison

WI
Epic Systems
healthtech
Exact Sciences
biotech
American Family Insurance
insurance
University of Wisconsin-Madison
education

Data Science Jobs in Milwaukee

WI
Northwestern Mutual
finance
Rockwell Automation
manufacturing
Johnson Controls
tech
Kohl's
retail-tech

Transfer Pathways for Data Science Degrees in Wisconsin

State Transfer System

Wisconsin's transfer system is designed to help seamless academic progression from two-year to four-year institutions. The Universal Credit Transfer Agreement (UCTA) guarantees that general education credits earned at any public university, college, or technical college in Wisconsin will transfer to other public institutions within the system. This agreement significantly benefits students pursuing data science degrees, as it allows completion of foundational mathematics and general education requirements at 21 two-year institutions before transferring to a four-year program. Students can complete an associate's degree at institutions like Gateway Technical College. Wisconsin's top-ranked associate's program with tuition of $4,386, and then seamlessly transition to bachelor's programs at UW System universities.

How Transfers Work

The transfer pathway is particularly valuable for data science, where strong foundational coursework in calculus, linear algebra, and computer science is essential. Starting at an affordable two-year institution allows students to build these skills while managing costs before pursuing a bachelor's or master's degree at selective institutions like University of Wisconsin-Madison or University of Wisconsin-Milwaukee. The Wisconsin Grant, a need-based aid program for Wisconsin residents at UW System institutions, further supports transfer students' educational affordability. For detailed transfer information and articulation agreements, visit the University of Wisconsin System's transfer page. Students should also explore related pathways in Data Analytics in Wisconsin and Computer Science in Wisconsin to optimize their academic progression.

Why Pursue a Data Science Degree in Wisconsin?

Industry & Workforce

Wisconsin has established itself as a strong hub for data science education, with 38 institutions offering programs across all degree levels (IPEDS). The state's commitment to accessible higher education is evident in its average public in-state tuition of just $7,030 for four-year institutions, making Wisconsin an affordable choice for aspiring data scientists. Students pursuing bachelor's degrees have 20 institutions to choose from, while 12 institutions offer master's programs, providing flexible pathways regardless of career stage (College Scorecard).

Salary Outlook

Wisconsin's major tech hubs, including Milwaukee, Madison, and the Green Bay region, are home to major employers investing in data science talent. Companies like Epic Systems, Kohl's, Northwestern Mutual, and Advocate Aurora Health actively recruit graduates with data science expertise. The University of Wisconsin System dominates program leadership, with UW-Madison producing 350 completions and UW-Milwaukee contributing 157 completions according to recent IPEDS data. For students seeking nationally ranked programs, Wisconsin offers excellent value: University of Wisconsin-Madison ranks among the nation's top data science schools while maintaining modest tuition costs. Prospective students interested in related fields should also explore Data Analytics in Wisconsin and Machine Learning in Wisconsin, which complement data science career preparation.

24 Programs
Data Science Program Availability in Wisconsin
Wisconsin offers 24 accredited data science programs across public universities, private colleges, and community colleges. Top tech hubs include Madison, Milwaukee.

Source: IPEDS 2024

Data Science Job Market & Salary Data in Wisconsin

Employment Outlook

Wisconsin's data science job market has experienced significant growth, with 38 institutions across the state offering data science programs at various degree levels (IPEDS). The state supports a strong educational pipeline: 481 bachelor's degree completions, 261 master's degree completions, and 23 doctoral degree completions in 2023, positioning Wisconsin as a competitive hub for data science talent (IPEDS). Major metropolitan areas including Milwaukee-Waukesha-West Allis, Madison, and Green Bay serve as primary employment centers, with employers actively recruiting graduates from Wisconsin's 20 bachelor's-granting institutions and 12 master's-granting institutions in the data science field.

Salaries by Metro

The state's major employers drive demand for data science professionals across healthcare, insurance, retail, and technology sectors. Companies like Advocate Aurora Health, UW Health, Epic Systems, Kohl's, and Northwestern Mutual maintain significant operations throughout Wisconsin and actively hire data science graduates (BLS State Data). For current salary data and occupational trends specific to Wisconsin, job seekers can reference the Bureau of Labor Statistics' state occupational employment data. The University of Wisconsin System, governed by the UW Board of Regents, anchors the educational infrastructure supporting the data science workforce across Madison, Milwaukee, La Crosse, Platteville, Whitewater, Green Bay, and other regions (University of Wisconsin System). Prospective students should also explore related opportunities in data analytics and machine learning programs throughout Wisconsin.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in Wisconsin$67,184$149,872
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Data Science Programs in Wisconsin

Online Programs

3 available in Wisconsin

On-Campus Programs

Traditional classroom experience

Typical Tuition$20,147/yr$22,385/yr
Schedule FlexibilitySelf-paced or asyncFixed schedule
NetworkingVirtual cohortsIn-person, career fairs
Best ForWorking professionalsTraditional students
Completion Time2-4 years (flexible)4 years (standard)

Compare Data Science Programs in Other States

Data Science Degree Programs in Wisconsin: FAQ

What are the best data science degree programs in Wisconsin?
The best data science degree programs in Wisconsin based on our methodology are: 1) University of Wisconsin-Madison (83% graduation rate), 2) University of Wisconsin-Milwaukee, and 3) Milwaukee School of Engineering. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). Wisconsin offers 24 total accredited programs across 14 public and 10 private institutions. See our complete rankings for all 18 bachelor's programs.
How much do data science degree programs cost in Wisconsin?
Data Science degree program costs in Wisconsin vary significantly by institution type. In-state public tuition averages $22,385/year, while private institutions average $49,247/year. Community colleges offer the most affordable path at approximately $5,596/year for associate's degrees. The total 4-year cost ranges from $89,540 at public schools to $196,988 at private institutions before financial aid. Most students don't pay full sticker price, federal grants, state aid, and institutional scholarships can reduce costs by 30-60%.
What salary can data science degree graduates earn in Wisconsin?
Data Science professionals in Wisconsin earn a median salary of $103,360, which is competitive with the national average of $115,500. Entry-level positions typically start around $67,184, while senior roles exceed $149,872. Salaries vary by metro area: Madison ($113,696), Milwaukee ($108,528) offer the highest compensation. Specialized roles like AI/ML engineers and cloud architects command premiums of 15-30% above median.
Are there online data science degree programs in Wisconsin?
Yes, Wisconsin offers 3 accredited online Data Science programs from state institutions. These programs award the same degree as on-campus options and include synchronous and asynchronous formats. Top-ranked online programs include offerings from Waukesha County Technical College and Fox Valley Technical College. Online programs typically cost the same as on-campus tuition for in-state students. Many programs offer flexible scheduling for working professionals, with some offering accelerated completion in 2-3 years. Ensure any online program holds regional accreditation and ideally ABET accreditation for engineering programs.
What companies hire data science degree graduates in Wisconsin?
Major Data Science employers in Wisconsin include Epic Systems, Rockwell Automation, Northwestern Mutual, Exact Sciences, Generac. The Madison and Milwaukee metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from Wisconsin universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. Wisconsin's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a data science degree program worth it in Wisconsin?
A data science degree program in Wisconsin offers strong ROI with a $103,360 median salary and +22% projected job growth. At average in-state tuition of $22,385/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($116,797), data science, cybersecurity, and AI/ML. Beyond salary, benefits include job security, remote work flexibility, and clear advancement paths. Alternative paths like bootcamps exist for career changers, but bachelor's degrees provide broader career options and higher lifetime earnings.
How long do data science degree programs take in Wisconsin?
Standard completion times for data science degree programs in Wisconsin are: Associate's (2 years, 60 credits), Bachelor's (4 years, 120 credits), and Master's (1-2 years, 30-36 credits). However, actual timelines vary based on course load, transfer credits, and program format. Accelerated programs can compress a bachelor's to 3 years or a master's to 12 months. Part-time students typically need 5-6 years for a bachelor's degree. Wisconsin community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a Wisconsin university for the final 2 years of a bachelor's program.
What financial aid is available for data science degree students in Wisconsin?
Wisconsin data science degree students can access multiple financial aid sources. Federal aid includes Pell Grants (up to $7,395/year for qualifying students) and federal student loans. Wisconsin state grants provide additional support for residents attending in-state schools. Institutional scholarships from universities can significantly reduce costs, many schools offer merit-based awards for STEM students. Work-study programs and teaching/research assistantships (especially for graduate students) provide income while building experience. Complete the FAFSA by Wisconsin's priority deadline to maximize aid eligibility. Some employers also offer tuition reimbursement for employees pursuing CS degrees.

Data Sources

Institutional characteristics, completions, graduation rates

Wisconsin salary and employment data

Official University Websites

Program details and admissions information

Last Updated: June 26, 2026. Rankings based on IPEDS 2024 data. Salary data from BLS OEWS May 2024.

Was this ranking helpful for your college search?
Taylor Rupe

Taylor Rupe

Co-founder & Editor (B.S. Computer Science, Oregon State • B.A. Psychology, University of Washington)

Taylor combines technical expertise in computer science with a deep understanding of human behavior and learning. His dual background drives Hakia's mission: leveraging technology to build authoritative educational resources that help people make better decisions about their academic and career paths.

Data Science Degree Programs in Wisconsin, Detailed School Profiles

Best Associate's Data Science Degree Programs in Wisconsin

Waukesha County Technical College, Pewaukee, WI

Key Distinction: Waukesha County Technical College offers comprehensive Data Science programs preparing students for careers in technology.

Hakia Insight: Waukesha County Technical College's accessible, regionally-focused associate's pathway serves students priced out of four-year institutions while connecting them to the same Southeast Wisconsin employer networks.

Waukesha County Technical College offers Data Science programs in Pewaukee, WI. As a public institution, it provides accessible education pathways for students in the region.

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

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.

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.

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
  • ABET

Location Advantages: Proximity to Wisconsin manufacturing and industrial technology hub

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

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-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-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-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
  • AACSB

Location Advantages:

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-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-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
  • null

Location Advantages: Regional employment opportunities in Superior/Duluth area