University campus in Missouri
Updated June 26, 2026

Best Data Science Degree Programs in Missouri, 2026 Rankings

Compare the top data science colleges in Missouri. 21 accredited data science schools ranked by graduation rate, career outcomes, and value, from University of Central Missouri to Washington University in St Louis.

#1 ProgramWashington University in ...
Avg Salary$104,000
Tuition From$8,325/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

8

Programs ranked

IPEDS 2024

$104,000

Missouri median data science salary

BLS OEWS 2024

82/100

Top program score

Hakia methodology

36%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best data science degree programs: Washington University in ..., U of Missouri-Kansas City, U of Missouri-St Louis

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

Tuition ranges from $6,442 to $61,750/year

U of Central Missouri offers the most affordable option at $8,325/yr

IPEDS 2024

Data Science degree programs available: 10 master's, 2 doctoral in Missouri

From community college pathways to advanced research degrees

IPEDS 2024

4 online data science degree programs in Missouri

Flexible scheduling for working professionals

IPEDS 2024

Major employers: Cerner, World Wide Technology, Bayer, Mastercard

Tech hubs in Kansas City and St. Louis

Hakia Research 2026

Data Science degree programs near 62+ cities across Missouri

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

IPEDS 2024

Updated June 26, 2026

How we ranked Missouri Data Science programs

We rank 33 accredited data science programs in Missouri 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
$104,000
Are Data Science Degree Programs in Missouri Worth It?
Yes. The best data science degree programs in Missouri deliver strong ROI, graduates earn $104,000 median salary with +22% job growth through 2032. In-state tuition averages $21,596/year.

Source: BLS OEWS May 2024

Data Science Degree Rankings in Missouri

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

Best Bachelor's Data Science Programs in Missouri

5
Programs ranked
$32,584
Avg tuition/yr
66%
Avg grad rate

Program Landscape

Missouri ranks among the nation's top destinations for data science education, with 21 accredited bachelor's degree programs across 8 public and 13 private institutions. The highest-ranked programs are Washington University in ..., U of Missouri-Kansas City, U of Missouri-St Louis, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Missouri data science programs earn a median salary of $88,400, 10% below the national average. The state's robust technology sector, anchored by the Kansas City, St. Louis metropolitan areas, provides abundant internship and employment opportunities with companies including Cerner, World Wide Technology, Bayer.

Costs & Value

Tuition ranges from $6,442 to $61,750 annually, with an average of $21,596/yr. Top programs maintain graduation rates above 80%, with the highest reaching 98%. 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 Missouri's leading technology employers. For students seeking data science degrees in Missouri, these top-ranked data science schools offer the strongest combination of academic rigor and career preparation.

Best Master's Data Science Programs in Missouri

3
Programs ranked
$15,339
Avg tuition/yr
63%
Avg grad rate

Program Landscape

Missouri 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 Missouri-Kansas City, Washington University in ..., U of Central Missouri, combine advanced technical training with research opportunities and leadership development.

Career Outcomes

Master's graduates in Missouri earn a median salary of $104,000, approximately 20-30% higher than bachelor's degree holders. The concentration of technology companies in Kansas City, St. Louis creates strong demand for graduate-level talent, with Cerner, World Wide Technology, Bayer 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 $20,909/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 Missouri's data science schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Data Science Degree Costs & Tuition in Missouri

MetricValue
Average in-state tuition$21,596/year
Average out-of-state tuition$53,990/year
Community college tuition$5,399/year
4-year savings for residents$129,576
2+2 transfer pathway savings$32,394

Source: IPEDS 2024

Financial Aid & Scholarships for Data Science Students in Missouri

State Aid Programs

Missouri students pursuing data science degrees have access to multiple federal and state financial aid programs designed to reduce college costs. The foundation of federal aid begins with the Free Application for Federal Student Aid (FAFSA), available through Federal Student Aid, which determines eligibility for grants, loans, and work-study opportunities. Once FAFSA is completed, Missouri residents attending public four-year institutions can apply for the Access Missouri Grant, a need-based program that awards up to $2,850 per year to eligible students (Missouri Department of Higher Education). This state-specific support significantly reduces out-of-pocket expenses and makes quality data science education more accessible across Missouri's diverse student population.

Key Programs & Amounts

Beyond grants, many of Missouri's top data science programs offer institutional scholarships and assistantships to qualified applicants. Students should contact their institution's financial aid office to inquire about program-specific scholarships, graduate assistantships, and merit-based awards. Public institutions in Missouri report average in-state tuition of $8,649, making state universities an affordable option when combined with Access Missouri Grants (Missouri Department of Higher Education). Additionally, students transferring from Missouri's community colleges can leverage the Missouri Core Transfer Curriculum (CORE 42), which guarantees transfer of 42 credit hours statewide, reducing overall time-to-degree and associated costs (Missouri Department of Higher Education). Comparing financial aid packages across schools like University of Missouri-Columbia and Missouri State University-Springfield can help students identify the most cost-effective pathway to their degree.

Data Science Degree ROI Calculator, Missouri

Use our interactive ROI calculator to estimate your return on investment for a data science degree in Missouri. 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 Missouri metro areas

Kansas City$114K
St. Louis$109K
View data table
CategoryValue
Kansas City$114K
St. Louis$109K

Source: BLS OEWS May 2024

Hakia.com

Top Employers Hiring Data Science Graduates in Missouri

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

Data Science Jobs in Kansas City

MO
Cerner/Oracle Health
healthtech
Garmin
tech
H&R Block
fintech
Sprint/T-Mobile
telecom

Data Science Jobs in St. Louis

MO
Bayer
pharma
Edward Jones
finance
World Wide Technology
tech
Mastercard
fintech
Boeing
aerospace

Transfer Pathways for Data Science Degrees in Missouri

State Transfer System

Missouri's streamlined transfer system makes it seamless for community college students to pursue data science degrees at four-year institutions. The Missouri Core Transfer Curriculum (CORE 42) guarantees that 42 credit hours of general education coursework transfers automatically between all Missouri public institutions and many private colleges. This statewide articulation agreement eliminates credit loss and reduces time-to-degree for transfer students. The state's 21 two-year institutions, including Saint Louis Community College, Metropolitan Community College-Kansas City, and Ozarks Technical Community College, serve as vital entry points for students seeking affordable pathways into data science. Associate's degree programs in data science and related STEM fields build foundational knowledge in mathematics, programming, and introductory data analysis before students transfer to bachelor's programs.

How Transfers Work

Community college students completing CORE requirements and associate's-level prerequisite coursework in mathematics and computer science are well-positioned to transfer directly into junior-year status at bachelor's programs. This pathway reduces overall tuition costs. With average public in-state tuition at $8,649 annually, two-year programs at community colleges offer significant savings compared to four-year programs. Successful transfer students can then complete bachelor's degrees at top-ranked programs such as University of Missouri-Columbia or University of Missouri-Kansas City, leveraging the credit they earned while attending more affordable institutions. The Missouri Department of Higher Education maintains a comprehensive transfer guide and articulation agreements to help this process.

Transfer Planning Tips

Many bachelor's programs also articulate with regional employer partnerships, creating bridge pathways into graduate education and careers. Students completing bachelor's degrees in data science can pursue master's programs at the same or different institutions. Several Missouri universities support part-time and online master's enrollment for working professionals, enabling continued education without interrupting careers. Transfer-friendly institutions credit prior coursework appropriately, and the Access Missouri Grant continues to support eligible transfer students. For detailed transfer agreements and course equivalencies, consult your community college's transfer specialist or explore related fields through computer science and data analytics transfer pathways.

Why Pursue a Data Science Degree in Missouri?

Industry & Workforce

Missouri offers a strong and growing landscape for data science education, with 39 institutions across the state offering data science programs at multiple degree levels (IPEDS). The state's higher education system produced 2,549 master's degree completions and 691 bachelor's degree completions in data science, reflecting strong industry demand and academic investment. From prestigious research universities to affordable community colleges, Missouri provides pathways for students at every educational level to enter this high-demand field.

Salary Outlook

Missouri's major metropolitan areas. St. Louis and Kansas City, serve as thriving tech hubs with significant employer presence. Leading companies including BJC HealthCare, SSM Health, Cerner, Walmart, and Express Scripts actively recruit data science talent, creating abundant career opportunities for graduates. Top-ranked institutions like Washington University in St. Louis, University of Missouri-Columbia, and University of Missouri-Kansas City are anchoring innovation ecosystems that connect students directly to industry. Public in-state tuition averages $8,649 at four-year institutions, making Missouri an economically attractive choice compared to national alternatives (College Scorecard).

Regional Tech Hubs

Students choosing data science in Missouri benefit from the state's commitment to educational access and mobility. The Missouri Core Transfer Curriculum (CORE 42) guarantees transfer of 42 credit hours statewide, enabling community college students to seamlessly transition to four-year programs. Additionally, the Access Missouri Grant provides need-based funding up to $2,850 annually at public institutions. For career advancement, explore related fields through our guides on data analytics, machine learning, and artificial intelligence programs throughout the state.

21 Programs
Data Science Program Availability in Missouri
Missouri offers 21 accredited data science programs across public universities, private colleges, and community colleges. Top tech hubs include Kansas City, St. Louis.

Source: IPEDS 2024

Data Science Job Market & Salary Data in Missouri

Employment Outlook

Missouri's data science job market is strong and expanding, with opportunities concentrated in major metropolitan areas including St. Louis, Kansas City, and Springfield. The state's diverse economy has created consistent demand for data science professionals across healthcare, technology, retail, and financial services sectors. According to the Bureau of Labor Statistics, Missouri continues to see growth in occupations requiring data analysis and computational skills. With 39 institutions offering data science programs across the state, Missouri produces a steady pipeline of qualified professionals to meet employer demand.

Salaries by Metro

The strongest job markets for data science graduates are located in the St. Louis and Kansas City metropolitan regions, where Fortune 500 companies and healthcare systems maintain significant operations. Entry-level positions start for candidates with bachelor's degrees, while advanced roles increasingly require master's-level credentials. Missouri's public four-year institutions charge an average in-state tuition of $8,649, making education more accessible than many neighboring states. Graduate programs are particularly strong, with 11 institutions offering master's degrees and 2,549 total completions recorded, significantly outpacing bachelor's degree production of 691 completions. Students should consult the College Scorecard for detailed employment outcomes by institution.

Entry-Level (0-2 yrs)

New graduates and career changers

Senior (8+ yrs)

Technical leads and architects

Median Salary in Missouri$67,600$150,800
Typical RolesJunior Developer, AnalystStaff Engineer, Architect
Remote Work AccessLimitedCommon
Degree ExpectationBachelor's sufficientMaster's preferred

Online vs On-Campus Data Science Programs in Missouri

Online Programs

4 available in Missouri

On-Campus Programs

Traditional classroom experience

Typical Tuition$19,436/yr$21,596/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 Missouri: FAQ

What are the best data science degree programs in Missouri?
The best data science degree programs in Missouri based on our methodology are: 1) Washington University in St Louis (97% graduation rate), 2) University of Missouri-Kansas City, and 3) University of Missouri-St Louis. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). Missouri offers 21 total accredited programs across 8 public and 13 private institutions. See our complete rankings for all 21 bachelor's programs.
How much do data science degree programs cost in Missouri?
Data Science degree program costs in Missouri vary significantly by institution type. In-state public tuition averages $21,596/year, while private institutions average $47,511/year. Community colleges offer the most affordable path at approximately $5,399/year for associate's degrees. The total 4-year cost ranges from $86,384 at public schools to $190,045 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 Missouri?
Data Science professionals in Missouri earn a median salary of $104,000, which is competitive with the national average of $115,500. Entry-level positions typically start around $67,600, while senior roles exceed $150,800. Salaries vary by metro area: Kansas City ($114,400), St. Louis ($109,200) 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 Missouri?
Yes, Missouri offers 4 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 Webster University and Southwest Baptist University. 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 Missouri?
Major Data Science employers in Missouri include Cerner, World Wide Technology, Bayer, Mastercard, Square. The Kansas City and St. Louis metro areas serve as primary tech hubs with thousands of open positions. Top employers maintain recruiting pipelines directly from Missouri universities, with many offering internship-to-hire programs. Beyond tech giants, opportunities exist in healthcare IT, financial services, defense contractors, and growing startups. Missouri's tech sector shows +22% projected job growth through 2033, outpacing most other industries.
Is a data science degree program worth it in Missouri?
A data science degree program in Missouri offers strong ROI with a $104,000 median salary and +22% projected job growth. At average in-state tuition of $21,596/year, graduates typically recoup their educational investment within 3-5 years. The degree opens doors to high-paying careers in software development ($117,520), 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 Missouri?
Standard completion times for data science degree programs in Missouri 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. Missouri community colleges offer a cost-effective "2+2" path: complete your associate's in 2 years, then transfer to a Missouri university for the final 2 years of a bachelor's program.
What financial aid is available for data science degree students in Missouri?
Missouri 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. Missouri 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 Missouri'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

Missouri 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 Missouri, Detailed School Profiles

Best Bachelor's Data Science Degree Programs in Missouri

Saint Louis University, Saint Louis, MO

Key Distinction: Four semesters of practica and capstone experiences integrated into curriculum. Two-semester capstone project (DATA 4961 and DATA 4962) providing hands-on application

Hakia Insight: Saint Louis University's four-semester practica + two-semester capstone structure means students graduate with 18+ months of documented project work, not a single capstone—a portfolio depth that rivals programs requiring internships, yet embedded within required curriculum rather than competing for limited positions.

Saint Louis University's Bachelor of Science in Data Science is an interdisciplinary program jointly supported by the Department of Computer Science and the Department of Mathematics and Statistics, modeled on guidelines endorsed by the American Statistical Association's Board of Directors. The curriculum combines computer science, statistics, and mathematics fundamentals with four semesters of practica and capstone experiences, providing hands-on training in data cleaning, visualization, analysis, and reporting. Students complete 120 credits including two capstone courses (DATA 4961 and DATA 4962) and choose electives to specialize in either computer science or statistical aspects of data science. The program offers extensive research and internship opportunities through faculty research in machine learning, natural language processing, time series analysis, and topological data analysis. Past students have collaborated with ArchCity Defenders, MIT's Lincoln Lab, and SLU's Medical School. The Data Science Club enables students to practice predictive modeling in competitions. Graduates are positioned for careers in technology, government, research, and consulting, with strong demand projected by McKinsey (140,000–190,000 person shortfall) and recognition as a top-ranked job by Glassdoor.

Programs Offered
  • Bachelor of Science in Data Science, 4 years, on-campus. BS
Industry Partners
  • Edward Jones (corporate)
  • Emerson Electric (corporate)
  • BJC Healthcare (nonprofit)
  • SSM Health (nonprofit)

Location Advantages: St. Louis healthcare sector (BJC, SSM Health) recruiting heavilyFinancial services hub (Edward Jones headquarters)Strong supply chain and manufacturing economy

William Jewell College, Liberty, MO

Hakia Insight: William Jewell's dual BA/BS track suggests flexibility between quantitative rigor and liberal arts breadth—rare among regional data science programs—making it unusually accessible to students uncertain whether they want pure mathematics or applied decision-making.

At the bachelor's level, william Jewell College's Data Science program aims to prepare students to collect, interpret and make decisions based on data and quantitative information in a world that increasingly needs data scientists.

Programs Offered
  • Bachelor of Science in Data Science, 4 years, on-campus
  • Bachelor of Arts in Data Science, 4 years, online

Location Advantages:

Maryville University of Saint Louis, Saint Louis, MO

Key Distinction: Maryville's data science program differentiates itself through mandatory industry project partnerships beginning in the first semester, ensuring every student graduates with real-world case studies in their portfolio.

Hakia Insight: Maryville's requirement that every student complete real industry projects starting freshman year means graduates enter job markets with client-ready case studies rather than textbook exercises—a portfolio depth most peers don't achieve until internships.

At the bachelor's level, maryville's data science program emphasizes applied problem-solving through industry-embedded projects that start in the first semester. Students work directly with local and regional businesses—healthcare systems, financial services firms, and manufacturing companies—to solve real analytics challenges, turning classroom theory into portfolio-ready work before graduation. The curriculum balances statistical rigor with modern machine learning and big data technologies, drawing expertise from faculty with backgrounds in predictive modeling, business analytics, and software engineering. What sets this program apart is its deliberate focus on translating technical skills into business impact; students learn not just how to build models, but how to communicate findings to non-technical stakeholders and navigate the organizational side of data initiatives. The program benefits from Maryville's location in the St. Louis metro area, which hosts a growing tech sector and established corporate headquarters that serve as both recruiting grounds and internship pipelines. Graduates consistently move into analytics roles at companies like Centene, Schnucks, and regional financial institutions, with many reporting that their project portfolio—built during coursework—was the deciding factor in landing their first role.

Programs Offered
  • Bachelor of Science in Data Science, 4 years, on-campus
  • Bachelor of Arts in Data Science, 4 years, online
Industry Partners
  • Centene Corporation (corporate)
  • Schnucks Markets (corporate)
Career Outcomes

Top Employers: Centene Corporation, Schnucks Markets, Ameren.

Location Advantages: Proximity to Centene headquarters (health insurance analytics)Access to St. Louis financial services sectorGrowing regional tech community

Best Master's Data Science Degree Programs in Missouri

University of Missouri-Kansas City, Kansas City, MO

Key Distinction: Coursework-based track with required capstone (no thesis option mentioned). Flexible elective options enabling specialization in cloud computing, computer vision, information security, business analytics, or advanced analytics

Hakia Insight: UMKC's partnerships with Oak Ridge National Lab and X (formerly Twitter), combined with five specialized research labs including dSAIC, position working professionals to contribute to federal-scale data infrastructure projects while earning their degree—uncommon outside major research universities.

The Master of Science in Data Science Analytics at UMKC is a 30-credit program designed for working professionals seeking advanced expertise in data science. The program offers a coursework-based track with a required capstone project, providing hands-on experience with state-of-the-art tools and techniques. Students complete 15 credits of required core coursework covering data science principles, big data management, machine learning, and deep learning, followed by 15 credits of electives allowing specialization in areas such as cloud computing, advanced analytics, computer vision, and information security. The program is structured to accommodate professional schedules and emphasizes team-based problem solving and industry-relevant skills. While specific salary advancement data, assistantship opportunities, and embedded certifications are not detailed in the catalog, the capstone requirement ensures direct application to real-world challenges. Students with non-CS/IT backgrounds may require additional prerequisites before beginning the main coursework.

Programs Offered
  • Master of Science in Data Science Analytics, 1-2 years, on-campus. MS
Research Labs and Institutes
  • NextGen Data Science and Analytics Innovation Center (dSAIC)
  • Data Mining, Database and Multimedia Research Group
  • DANS Lab (Data-Algorithms-Network Systems-Security Laboratory)
  • Bani Lab
  • Cheng Han Lab
  • Cao Lab
  • Climate Change Assessment and Modeling Lab
Industry Partners
  • Oak Ridge National Lab (partner)
  • T-Mobile (partner)
  • TripleBlind (partner)
  • X (formerly Twitter) (employer)
  • Federal Reserve (employer)
  • Qualcomm (employer)
  • H&R Block (employer)
  • Federal Reserve Bank (employer)
  • IQVIA (employer)
  • Lockton (employer)
  • GenHealth.ai (employer)
  • Florida International University (collaborator)
  • Florida Office of Insurance Regulation (collaborator)
Career Outcomes

Median Salary: $NaN.

Notable Faculty
  • Dr. Shu-Ching Chen, Data science and analytics innovation
  • Dr. Md Yusuf Sarwar Uddin, Computer Science

Location Advantages: Access to $145 million Healthcare Delivery and Innovation Building in UMKC Health Sciences DistrictPart of University of Missouri system-wide data science initiative

Truman State University, Kirksville, MO

Key Distinction: Truman State emphasizes undergraduate research integration and academic rigor, making it distinctive for students pursuing graduate education or research-focused data science careers.

Hakia Insight: Truman State's master's program uniquely leverages its undergraduate research culture to compress what many schools stretch across two years—graduate students hit the ground running in active labs rather than spending the first semester on foundational coursework.

At the master's level, truman State's data science initiative builds on the institution's reputation for undergraduate research and academic rigor, with a program structure that integrates research experiences and capstone projects alongside core technical coursework. The curriculum combines data engineering fundamentals, statistical analysis, machine learning, and domain applications, with particular strength in quantitative reasoning and problem-solving methodology. Faculty maintain involvement in research—spanning topics like computational statistics, optimization, and applied mathematics—and actively involve undergraduate students in their work, offering a rare advantage for a regional comprehensive university. The program benefits from Kirksville's location in north-central Missouri and proximity to larger Midwest metros, though it functions more as a feeder to graduate programs and larger tech companies than as a hub with deep local industry partnerships. What distinguishes Truman is its emphasis on academic excellence and research mentorship; students who graduate tend to pursue advanced degrees (MS/PhD in data science, statistics, or related fields) or secure analyst roles at companies recruiting heavily from Midwestern universities. The honors and research focus makes it particularly attractive to students aiming for research-oriented or doctoral pathways rather than immediate industry analytics roles.

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: Pipeline to Midwest graduate programsAccess to larger Midwest tech companies

Maryville University of Saint Louis, Saint Louis, MO

Key Distinction: Maryville's data science program differentiates itself through mandatory industry project partnerships beginning in the first semester, ensuring every student graduates with real-world case studies in their portfolio.

Hakia Insight: Maryville's mandatory industry projects from semester one mean master's graduates accumulate 4–6 client case studies by degree completion, a portfolio depth that immediately differentiates them from coursework-only competitors in regional hiring markets.

At the master's level, maryville's data science program emphasizes applied problem-solving through industry-embedded projects that start in the first semester. Students work directly with local and regional businesses—healthcare systems, financial services firms, and manufacturing companies—to solve real analytics challenges, turning classroom theory into portfolio-ready work before graduation. The curriculum balances statistical rigor with modern machine learning and big data technologies, drawing expertise from faculty with backgrounds in predictive modeling, business analytics, and software engineering. What sets this program apart is its deliberate focus on translating technical skills into business impact; students learn not just how to build models, but how to communicate findings to non-technical stakeholders and navigate the organizational side of data initiatives. The program benefits from Maryville's location in the St. Louis metro area, which hosts a growing tech sector and established corporate headquarters that serve as both recruiting grounds and internship pipelines. Graduates consistently move into analytics roles at companies like Centene, Schnucks, and regional financial institutions, with many reporting that their project portfolio—built during coursework—was the deciding factor in landing their first role.

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
  • Centene Corporation (corporate)
  • Schnucks Markets (corporate)
Career Outcomes

Top Employers: Centene Corporation, Schnucks Markets, Ameren.

Location Advantages: Proximity to Centene headquarters (health insurance analytics)Access to St. Louis financial services sectorGrowing regional tech community