University campus in Missouri
Updated July 13, 2026

Best Data Analytics Degree Programs in Missouri, 2026 Rankings

Compare the top data analytics colleges in Missouri. 13 accredited data analytics schools ranked by graduation rate, career outcomes, and value, from University of Missouri-Kansas City to Washington University in St Louis.

#1 ProgramWashington University in ...
Avg Salary$104,000
Tuition From$11,190/yr
Job Growth+22%
On this page
Reviewed by Taylor Rupe, Founder & EditorSee methodology

21

Programs ranked

IPEDS 2024

$104,000

Missouri median data analytics salary

BLS OEWS 2024

96/100

Top program score

Hakia methodology

25%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best data analytics degree programs: Washington University in ..., U of Missouri-Columbia, Saint Louis

Ranked by graduation rates, program outcomes, and institutional quality

IPEDS 2024

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

U of Missouri-Kansas City offers the most affordable option at $11,190/yr

IPEDS 2024

Data Analytics degree programs available: 8 master's, 2 doctoral in Missouri

From community college pathways to advanced research degrees

IPEDS 2024

1 online data analytics 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 Analytics degree programs near 62+ cities across Missouri

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

IPEDS 2024

Updated July 13, 2026

How we ranked Missouri Data Analytics programs

We rank 21 accredited data analytics 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

Are Data Analytics Degree Programs in Missouri Worth It?

Answer
$104,000
Yes. The best data analytics degree programs in Missouri deliver strong ROI, graduates earn $104,000 median salary with +22% job growth through 2032. In-state tuition averages $23,459/year.

Source: BLS OEWS May 2024

Data Analytics Degree Rankings in Missouri

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

Best Bachelor's Data Analytics Programs in Missouri

11
Programs ranked
$23,740
Avg tuition/yr
78%
Avg grad rate

Program Landscape

Missouri ranks among the nation's top destinations for data analytics education, with 11 accredited bachelor's degree programs across 4 public and 7 private institutions. The highest-ranked programs are Washington University in ..., U of Missouri-Columbia, Saint Louis, recognized for academic excellence, research opportunities, and strong industry connections.

Career Outcomes

Graduates from Missouri data analytics 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 $23,740/yr. Top programs maintain graduation rates above 78%, 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 analytics degrees in Missouri, these top-ranked data analytics schools offer the strongest combination of academic rigor and career preparation.

Show all 11 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Maryville University of Saint LouisSaint Louis, MOPrivate$24,76686%62.9
#7Truman State UniversityKirksville, MOPublic$9,132—46.7
#8Westminster CollegeFulton, MOPrivate$31,156—36.0
#9Northwest Missouri State UniversityMaryville, MOPublic$6,442—34.4
#10Central Methodist University-College of Liberal Arts and SciencesFayette, MOPrivate$26,360—34.0
#11Central Methodist University-College of Graduate and Extended StudiesFayette, MOPrivate$6,4806%29.1

Best Master's Data Analytics Programs in Missouri

8
Programs ranked
$26,991
Avg tuition/yr
91%
Avg grad rate

Program Landscape

Missouri offers 8 master's degree programs in data analytics, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, Washington University in ..., Saint Louis, Maryville University of S..., 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 $26,991/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 analytics 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 Missouri-St LouisSaint Louis, MOPublic$14,400—49.0
#7Truman State UniversityKirksville, MOPublic$9,132—45.3
#8Culver-Stockton CollegeCanton, MOPrivate$29,420—39.9

Best Doctoral Data Analytics Programs in Missouri

2
Programs ranked
$37,379
Avg tuition/yr
89%
Avg grad rate

Program Landscape

Missouri is home to 2 doctoral programs in data analytics, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at Washington University in ..., U of Missouri-Columbia are recognized for cutting-edge research, strong faculty publications, and competitive funding packages.

Career Outcomes

Doctoral graduates command premium salaries, with Missouri PhD holders earning a median of $130,000, reflecting the advanced expertise required for research and executive positions. The Kansas City, St. Louis region's research universities and corporate R&D centers provide extensive collaboration opportunities with industry leaders like Cerner, World Wide Technology, Bayer.

Costs & Value

PhD programs typically require 4-6 years of full-time study, including coursework, qualifying examinations, and original dissertation research. Many programs offer full funding through teaching or research assistantships, covering tuition and providing stipends of $25,000–$40,000 annually.

Curriculum & Specializations

Research strengths across Missouri programs include artificial intelligence, cybersecurity, human-computer interaction, systems, and theoretical computer science. For aspiring researchers pursuing data analytics degrees in Missouri, graduates go on to careers as university faculty, industry research scientists, or technical executives, contributing to advances in technology that impact millions of users worldwide.

Data Analytics Degree Costs & Tuition in Missouri

MetricValue
Average in-state tuition$23,459/year
Average out-of-state tuition$58,648/year
Community college tuition$5,865/year
4-year savings for residents$140,756
2+2 transfer pathway savings$35,188

Source: IPEDS 2024

Financial Aid & Scholarships for Data Analytics Students in Missouri

State Aid Programs

Missouri students pursuing data analytics degrees have access to multiple layers of financial support. The federal government offers grants and loans through the Free Application for Federal Student Aid (FAFSA), available at StudentAid.gov. Additionally, Missouri provides the Access Missouri Grant, a need-based aid program offering up to $2,850 per year for eligible students attending public institutions (Missouri Department of Higher Education). This state-specific support complements federal Pell Grants and subsidized loans, reducing out-of-pocket costs significantly for qualifying students.

Key Programs & Amounts

Beyond state and federal aid, many Missouri institutions offering data analytics programs provide institutional scholarships and merit-based awards. For example, top-ranked programs like those at University of Missouri-Columbia and Washington University in St Louis offer need- and merit-based packages to qualified applicants. Community college students have additional pathways through the Missouri Core Transfer Curriculum (CORE 42), which guarantees transfer of 42 credit hours statewide, allowing students to complete prerequisites affordably before transferring to four-year programs (Missouri Core Transfer Curriculum). Students should complete the FAFSA and explore institutional aid offices for comprehensive funding strategies.

Data Analytics Degree ROI Calculator, Missouri

Use our interactive ROI calculator to estimate your return on investment for a data analytics 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 Analytics Degree ROI Calculator

Estimate your return on investment for a data analytics degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+907%

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

Net Gain

$1,677,254

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

Break-Even

5 years

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

COL-Adjusted Salary

$133,333

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)$2,712,662

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)$140,000

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

Annualized Return4.9%

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 Analytics 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 Analytics Graduates in Missouri

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

Data Analytics Jobs in Kansas City

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

Data Analytics Jobs in St. Louis

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

Transfer Pathways for Data Analytics Degrees in Missouri

State Transfer System

Missouri's statewide transfer system provides seamless pathways for students beginning at community colleges and transferring to four-year institutions. The Missouri Core Transfer Curriculum (CORE 42) guarantees the transfer of 42 credit hours of general education coursework across all public institutions in the state, streamlining degree completion and reducing time-to-degree. This system is particularly valuable for students starting at 21 two-year institutions in Missouri, including top-ranked community colleges like Metropolitan Community College-Kansas City and Saint Louis Community College. Students completing an associate degree in data analytics or related fields can transfer with junior standing to bachelor's programs at universities such as University of Missouri-Columbia and Maryville University of Saint Louis, significantly reducing overall educational costs.

How Transfers Work

Community college graduates benefit from explicit articulation agreements between two-year and four-year institutions in Missouri. These agreements specify which courses satisfy major prerequisites and general education requirements, eliminating duplicate coursework. The CORE 42 system ensures that foundational mathematics and science courses completed at community colleges transfer directly, allowing students to focus upper-level coursework on data analytics specialization. For students seeking affordable entry points, community colleges like Ozarks Technical Community College (tuition $4,512) and Saint Louis Community College (tuition $4,440) offer cost-effective initial credential completion. Financial aid eligibility remains consistent through transfer via the Access Missouri Grant, supporting continued enrollment at four-year institutions. Prospective students should consult the Missouri Department of Higher Education for detailed articulation agreements and institution-specific transfer credit policies.

Why Pursue a Data Analytics Degree in Missouri?

Industry & Workforce

Missouri offers strong opportunities for students pursuing data analytics education across multiple degree levels. The state supports 26 institutions offering data analytics programs, including 14 bachelor's programs, 10 master's programs, and 2 doctoral programs (IPEDS). In 2023, Missouri institutions awarded 106 bachelor's degrees, 223 master's degrees, and 26 doctoral degrees in data analytics, demonstrating strong educational output in this high-demand field. Leading institutions like Washington University in St. Louis have produced 115 completions, while Saint Louis University and Maryville University of Saint Louis have contributed 70 and 63 completions respectively. For students seeking related fields, Missouri also offers comparable programs in data science and information systems.

Salary Outlook

Missouri's major metropolitan areas. St. Louis, Kansas City, and Springfield, serve as technology hubs with significant employer presence. Major employers including BJC HealthCare, SSM Health, Cerner, Walmart, and Express Scripts actively recruit data analytics professionals. The state's public four-year institutions offer competitive tuition, with average in-state costs at $8,649 and out-of-state tuition at $18,073 (IPEDS). Students can also access the Access Missouri Grant, a need-based financial aid program providing up to $2,850 annually at public institutions. Explore similar opportunities in comparable states like Data Analytics in Texas or Data Analytics in California to understand regional advantages.

Data Analytics Program Availability in Missouri

13 Programs
Missouri offers 13 accredited data analytics programs across public universities, private colleges, and community colleges. Top tech hubs include Kansas City, St. Louis.

Source: IPEDS 2024

Data Analytics Job Market & Salary Data in Missouri

Employment Outlook

Missouri's data analytics job market reflects strong demand across multiple industries and geographic regions. According to the Bureau of Labor Statistics, the state offers competitive opportunities for analytics professionals in major metropolitan areas including St. Louis, Kansas City, and Springfield. The St. Louis Metro and Kansas City Metro regions represent the primary employment hubs, with significant concentrations of healthcare, financial services, and technology companies actively recruiting data professionals. Students graduating from Missouri's 26 institutions offering data analytics programs can leverage strong local job markets supported by major employers and educational institutions alike.

Salaries by Metro

Missouri's educational infrastructure supports career development across all degree levels. The state awarded 106 bachelor's completions, 223 master's completions, and 26 doctoral completions in data analytics during 2023, according to IPEDS data. Top employers actively recruit from Missouri schools, particularly Washington University in St Louis with 115 program completions and Saint Louis University with 70 completions. Career opportunities extend beyond traditional tech roles into healthcare analytics, business intelligence, and research positions. Prospective students should explore related programs including Data Science in Missouri and Machine Learning in Missouri for comprehensive career pathway understanding.

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 Analytics Programs in Missouri

Online Programs

1 available in Missouri

On-Campus Programs

Traditional classroom experience

Typical Tuition$21,113/yr$23,459/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 Analytics Programs in Other States

Best Data Analytics Degree Programs in Iowa
Total Programs
13
Median Tuition
$32,500
Top Program
University of Iowa
Best Data Analytics Degree Programs in Illinois
Total Programs
39
Median Tuition
$37,000
Top Program
University of Illinois Urbana-Champaign
Best Data Analytics Degree Programs in Kentucky
Total Programs
8
Median Tuition
$11,200
Top Program
Eastern Kentucky University
Best Data Analytics Degree Programs in Tennessee
Total Programs
14
Median Tuition
$11,300
Top Program
Middle Tennessee State University
Best Data Analytics Degree Programs in Arkansas
Total Programs
9
Median Tuition
$7,200
Top Program
University of Arkansas
Best Data Analytics Degree Programs in Oklahoma
Total Programs
10
Median Tuition
$6,500
Top Program
Southeastern Oklahoma State University
Best Data Analytics Degree Programs in Kansas
Total Programs
9
Median Tuition
$10,000
Top Program
University of Kansas
Best Data Analytics Degree Programs in Nebraska
Total Programs
6
Median Tuition
$8,100
Top Program
Creighton University

Data Analytics Degree Programs in Missouri: FAQ

What are the best data analytics degree programs in Missouri?
The best data analytics degree programs in Missouri based on our methodology are: 1) Washington University in St Louis (97% graduation rate), 2) University of Missouri-Columbia, and 3) Saint Louis University. Our rankings weight graduation rates (25%), program completions (35%), selectivity (20%), and career outcomes (20%). Missouri offers 13 total accredited programs across 5 public and 8 private institutions. See our complete rankings for all 11 bachelor's programs.
How much do data analytics degree programs cost in Missouri?
Data Analytics degree program costs in Missouri vary significantly by institution type. In-state public tuition averages $23,459/year, while private institutions average $51,610/year. Community colleges offer the most affordable path at approximately $5,865/year for associate's degrees. The total 4-year cost ranges from $93,836 at public schools to $206,439 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 analytics degree graduates earn in Missouri?
Data Analytics 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 analytics degree programs in Missouri?
Yes, Missouri offers 1 accredited online Data Analytics 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 Westminster 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 analytics degree graduates in Missouri?
Major Data Analytics 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 analytics degree program worth it in Missouri?
A data analytics degree program in Missouri offers strong ROI with a $104,000 median salary and +22% projected job growth. At average in-state tuition of $23,459/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 analytics degree programs take in Missouri?
Standard completion times for data analytics 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 analytics degree students in Missouri?
Missouri data analytics 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

IPEDS 2024

Institutional characteristics, completions, graduation rates

BLS OEWS May 2024

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.

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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.

The research behind the rankings

In-depth Data Analytics program profiles in Missouri

Hand-researched detail on the top-ranked programs: degree pathways, research labs, industry partners, career outcomes, and admissions. Tap any school to expand.

Best Bachelor's Data Analytics programs

#1Washington University in St LouisSaint Louis, MO

Why it stands out. Mandatory practicum requirement completed in first semester of senior year—can be fulfilled through independent study, project-focused classes (CSE 4109, CSE 4307, CSE 4504), or approved data science internships. Internships can satisfy the practicum requirement (paid or unpaid)

Hakia insight. Washington University's mandatory senior-year practicum can be satisfied through paid internships at Amazon or Bayer, meaning you're not choosing between industry experience and degree completion—you're doing both while earning.

The Bachelor of Science in Data Science is a collaborative program between the Department of Statistics in Arts & Sciences and the Department of Computer Science & Engineering in the McKelvey School of Engineering. Students develop proficiency in programming, data manipulation, machine learning, and statistical analysis through a rigorous curriculum combining 39 credits of core coursework in computer science, mathematics, and statistics with 12 credits of technical electives. A mandatory practicum requirement—completed in the first semester of senior year—allows students to apply knowledge through independent study, project-focused courses, or internships in data science. The program emphasizes responsible data science and ethics, requiring 3 credits in ethics and professional responsibility coursework. Graduates gain hands-on experience in real-world data problems and are prepared for careers in tech, finance, healthcare, and other data-driven industries. The curriculum includes exposure to machine learning, data mining, cloud computing, visualization, and specialized topics such as biostatistics and time series analysis.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus

Research labs & institutes

  • McKelvey School of Engineering Research Labs — Machine learning, optimization, and data systems
  • Center for Biostatistics and Data Science — Clinical trials, genetic epidemiology, coordinating center activities
  • Center for Applied Health Informatics — Clinical informatics, population health, health AI
  • Personomics Lab — Personalized connectome and brain connectivity patterns
  • Breast Image Computing Lab — Machine learning for breast cancer screening and prevention
  • SAFE-T Lab — Patient safety, clinical decision support, perioperative care
  • CausAI Lab — Causal inference, federated learning, multimodal foundation models

Industry partners

Major tech companies (internship/recruiting partners)AmazonBayerBoschCitigroupDeloitte Consulting LLPThe Federal ReserveGEBJC Health SystemUK BiobankNIH

Notable faculty

  • Dr. Philip R.O. Payne (Health AI, biomedical informatics, clinical decision support)
  • Dr. Li Ding (Cancer proteogenomics, computational biology)
  • Dr. Thomas Kannampallil (Biomedical informatics, human-AI interactions)
  • Dr. Dennis Barbour (Machine learning, auditory processing, medical informatics)
  • Dr. Roman Garnett (Bayesian machine learning, sequential decision making)
  • Dr. Deanna Barch (Population neuroscience, brain-behavior relationships)

Admissions

GPA 3.5 minimum.

Accreditation & certifications

ABET accredited engineering programs

Location advantage: Proximity to Washington University School of Medicine and biotech innovation Saint Louis growing tech sector and startup ecosystem Access to healthcare data and informatics research opportunities

#2University of Missouri-ColumbiaColumbia, MO

Why it stands out. Mandatory experiential coursework including internships, undergraduate research, case studies, and/or thesis (6 credits required). Capstone project requirement (3 credits of the 6-credit experiential requirement)

Hakia insight. Missouri's 6-credit experiential requirement spans internships, undergraduate research, case studies, and thesis options, giving you flexibility to shape capstone work around Intel or Bayer partnerships rather than forcing all students into a single project track.

The BS in Data Science is an interdisciplinary 120-credit program offered through three focus areas: Computer Science (College of Engineering), Mathematics, and Statistics (College of Arts and Science). The curriculum builds on a core triad of statistics, mathematics, and computer science, requiring 60 major credits including 10 core courses (30 credits), four intermediate-level courses (12 credits), four advanced courses within the chosen focus (12 credits), and 6 credits of experiential coursework consisting of case studies, internships, research, and/or thesis—3 of which satisfy the capstone requirement. Students learn to acquire, analyze, communicate, and develop models from data while studying data ethics, governance, privacy, security, and algorithmic fairness. The program culminates in a major data science project in the final year. Graduates are prepared for careers across industry, government, and academia, with flexibility to complete second majors in affiliated disciplines (CS, Math, Statistics) or Information Technology.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus

Industry partners

Monsanto (now Bayer)Emerson ElectricNestlé Purina PetCare

Career outcomes

Top employers: Intel

Notable faculty

  • Jing Zhang (Machine learning and predictive analytics)
  • Xishuang Dong (Data mining and knowledge discovery)

Location advantage: Central U.S. location with access to Midwest manufacturing and financial services sectors Proximity to Kansas City and St. Louis tech ecosystems

#3Saint Louis UniversitySaint Louis, MO

Why it stands out. Four semesters of practica and capstone experiences providing hands-on data work. Two-semester Capstone Project (DATA 4961-4962)

Hakia insight. Saint Louis University's unusual strength lies in its four-semester practicum sequence paired with faculty like Guo-Liang Tian in biostatistics: graduates enter St. Louis's biotech ecosystem (Genentech, Children's Hospital) with hands-on health data experience competitors don't have.

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 American Statistical Association guidelines. The curriculum combines rigorous computer science, statistics, and mathematics coursework with four semesters of practica and capstone experiences, providing hands-on training in data cleaning, visualization, analysis, and reporting. Students complete two Data Science Practicum courses (years 1-2) and a two-semester Capstone Project (year 4). The program offers multiple research, internship, and consulting opportunities through partnerships with ArchCity Defenders, the Department of Sociology, Department of Linguistics, Medical School Liver Center, and Lincoln Lab at MIT. Students can specialize in either computer science or statistical aspects of data science through major electives. The SLU Data Science Club provides predictive modeling competition experience. Graduates are positioned for careers in technology, government, research, and consulting, addressing the U.S. shortage of 140,000-190,000 analytical professionals identified by McKinsey.

Programs offered

  • Bachelor of Science in Data Science · 4 years · on-campus

Industry partners

St. Louis Children's HospitalGenentechCorteva Agriscience

Notable faculty

  • Guo-Liang Tian (Biostatistics and health data analytics)

Admissions

GPA 3.0 recommended. Deadline February 1 for graduate assistantship priority consideration.

Accreditation & certifications

American Statistical Association's Board of Directors guidelines

Location advantage: St. Louis is a biotech and life sciences hub with significant pharmaceutical and healthcare technology presence Access to major healthcare networks and research institutions for internships and projects

#4William Jewell CollegeLiberty, MO

Hakia insight. William Jewell's dual BA/BS Data Analytics pathway allows liberal arts students to build quantitative skills without sacrificing breadth—a rare option at smaller colleges where analytics programs often force technical specialization.

At the bachelor's level, william Jewell College offers a Data Science major designed to prepare students to collect, interpret and make decisions based on data and quantitative information. The program is part of a selective liberal arts college with a 38.4% acceptance rate, providing an intimate learning environment for aspiring data scientists.

Programs offered

  • Bachelor of Science in Data Analytics · 4 years · on-campus
  • Bachelor of Arts in Data Analytics · 4 years · online
#5University of Missouri-Kansas CityKansas City, MO

Why it stands out. UMKC offers research university depth and Kansas City tech ecosystem access, enabling undergraduates to engage in faculty research and advanced coursework.

Hakia insight. UMKC's NextGen Data Science and Analytics Innovation Center (dSAIC) gives undergraduates access to research infrastructure typically reserved for graduate students, while partnerships with the Federal Reserve and Qualcomm create pathways to roles most bachelor's graduates never reach.

At the bachelor's level, UMKC's data analytics offerings emerge from a research-intensive R1 institution, providing students access to graduate-level coursework, faculty research opportunities, and partnerships with a major metropolitan tech ecosystem. The university's location in Kansas City—a growing tech hub with strong financial services and healthcare sectors—creates internship and networking advantages unavailable at regional schools. UMKC students can pursue data analytics as a specialization within computer science or data science degree pathways, with opportunities to engage in faculty-led research and access to university-scale computing infrastructure. The program attracts faculty with PhD-level expertise and active research agendas, meaning students interested in machine learning, statistical inference, or data science research can find mentorship beyond typical undergraduate programs. Graduate students and undergraduates often collaborate on funded research projects, accelerating learning for ambitious students willing to engage deeply.

Programs offered

  • Bachelor of Science in Data Analytics · 4 years · on-campus
  • Bachelor of Arts in Data Analytics · 4 years · online

Research labs & institutes

  • NextGen Data Science and Analytics Innovation Center (dSAIC) — Data science, analytics, high-performance computing, and AI applications
  • Bani Lab — Mathematical methods and algorithms for data optimization, predictive models in healthcare
  • Data Mining, Database and Multimedia Research Group (DDM) — Data science, AI, large language models, machine learning, deep learning, big data analytics
  • DANS Lab (Data-Algorithms-Network Systems-Security Laboratory) — AI for Security, 5G/6G networks, IoT systems
  • DIGIT Lab — Machine learning, generative AI, digital twinning for civil infrastructure and urban systems
  • Cheng Han Lab — LLM Adaptability and Efficiency
  • Cao Lab — Structure-conforming Transformers for scientific computing using partial differential equations

Industry partners

X (formerly Twitter)Federal ReserveQualcommChildren's MercySaint Luke's ResearchUniversity Health ResearchFlorida Office of Insurance RegulationMid-America Regional Council (MARC)

Career outcomes

$124,501 median salary

Notable faculty

  • Dr. Shu-Ching Chen (Data science and analytics, AI applications)

Location advantage: Kansas City tech hub Proximity to financial services and healthcare employers Metropolitan regional network

#6Maryville University of Saint LouisSaint Louis, MO

Why it stands out. Maryville's data analytics program prioritizes working professionals with evening/weekend scheduling and capstone projects anchored in regional industry partnerships.

Hakia insight. Maryville deliberately designs for working professionals with evening/weekend schedules and capstone projects embedded in St. Louis's supply chain and healthcare sectors—making it the pragmatic choice if you need to work while earning your degree.

At the bachelor's level, maryville's data analytics offerings emphasize applied problem-solving through real-world capstone projects that partner students with regional organizations. The curriculum integrates business intelligence tools, statistical modeling, and data visualization within a framework designed for working professionals—many students balance coursework with full-time employment. Faculty bring industry experience alongside academic rigor, creating a bridge between classroom theory and workplace demand. The program's strength lies in its flexibility: courses are offered in evening and weekend formats, and online options accommodate commuters and remote learners across the St. Louis region and beyond. Graduates often transition into analytics roles within healthcare, finance, and manufacturing sectors that anchor the Missouri economy, though the program increasingly attracts students aiming for national tech companies. The emphasis on practical tools—SQL, Python, Tableau, Power BI—means students leave with portfolio-ready projects rather than purely theoretical credentials. Networking opportunities through guest speakers and alumni mentoring add a professional development layer that complements the technical curriculum.

Programs offered

  • Bachelor of Science in Data Analytics · 4 years · on-campus
  • Bachelor of Arts in Data Analytics · 4 years · online

Accreditation & certifications

The Higher Learning Commission

Location advantage: St. Louis financial services and healthcare sectors Regional manufacturing and supply chain analytics demand

#7Truman State UniversityKirksville, MO

Why it stands out. Data analytics curriculum emphasizes data storytelling and stakeholder communication as core learning outcomes, not afterthoughts, differentiating graduates in interpretive and advisory roles.

Hakia insight. Truman State's curriculum treats data storytelling as a learning outcome, not an elective skill—graduates explicitly train to explain findings to executives, a competitive edge in advisory and consulting roles where technical peers often stumble.

At the bachelor's level, truman State's approach to data analytics prioritizes analytical reasoning and communication alongside technical skill-building, preparing students who can explain complex findings to non-technical stakeholders—a capability that distinguishes them in the job market. The program incorporates data storytelling and visualization as core competencies, recognizing that the best analysis is useless if it cannot be understood and acted upon. Coursework spans statistics, programming (R and Python), database systems, and business analytics, with flexibility for students to deepen expertise in machine learning, time series analysis, or data engineering based on career goals. The liberal arts foundation means students also take courses in ethics, communication, and domain knowledge, reducing the risk of technically skilled analysts who lack judgment or clarity. Truman's location in Kirksville supports a close student-faculty environment where mentoring is personalized and internship placements are actively managed by faculty with regional and national networks.

Programs offered

  • Bachelor of Science in Data Analytics · 4 years · on-campus
  • Bachelor of Arts in Data Analytics · 4 years · online
#8Westminster CollegeFulton, MO

Why it stands out. Westminster College offers comprehensive Data Analytics programs preparing students for careers in technology.

Hakia insight. Westminster College's regional accessibility in Fulton, MO positions it as an entry point for Midwest students who need local tuition costs without sacrificing data science rigor.

Westminster College offers Data Analytics programs in Fulton, MO. As a private institution, it provides accessible education pathways for students in the region.

#9Northwest Missouri State UniversityMaryville, MO

Why it stands out. Northwest emphasizes applied, project-based learning integrated with regional industry partnerships rather than theoretical research foundations.

Hakia insight. Northwest Missouri State anchors learning in real-world projects connected to Kansas City's business hub rather than research theory, making graduates immediately useful to regional employers in ways that pure CS/stats programs aren't.

At the bachelor's level, northwest Missouri State's data analytics program emphasizes practical, hands-on learning through real-world projects that connect students directly to regional industry needs. The curriculum balances foundational statistics and programming with applied business intelligence tools, giving students experience in data visualization, predictive modeling, and database management before graduation. What sets this program apart is its integration with Northwest's business school partnerships—students work on live case studies for regional companies, building portfolios that directly translate to employment. The faculty bring industry experience alongside academic rigor, mentoring students through capstone projects that often become jumping-off points for internships and full-time roles. For students prioritizing immediate career readiness over pure research, this program's focus on employable skills and local industry pipeline makes it a strong ROI choice.

Programs offered

  • Bachelor of Science in Data Analytics · 4 years · on-campus
  • Bachelor of Arts in Data Analytics · 4 years · online

Location advantage: Proximity to Kansas City regional business hub

#10Central Methodist University-College of Liberal Arts and SciencesFayette, MO

Why it stands out. Central Methodist University-College of Liberal Arts and Sciences offers comprehensive Data Analytics programs preparing students for careers in technology.

Hakia insight. Central Methodist's location in Fayette, MO creates an accessible pathway to data analytics training for students prioritizing affordability and regional placement over national prestige.

Central Methodist University-College of Liberal Arts and Sciences offers Data Analytics programs in Fayette, MO. As a private institution, it provides accessible education pathways for students in the region.

Best Master's Data Analytics programs

#1Washington University in St LouisSaint Louis, MO

Why it stands out. Master's thesis/project option available. International students required to complete communication course (no additional cost for full-time students, not counted toward GPA)

Hakia insight. Washington University's MSDAS requires a 3.5 GPA but shields international students from communication course costs and GPA impact—a subtle but material advantage for candidates whose first language isn't English competing for Amazon and biotech roles.

The MS in Engineering Data Analytics & Statistics (MSDAS) is an interdisciplinary master's program designed for working professionals seeking advanced expertise in data analytics, statistics, and software tools. The program combines systems science, mathematics, and computer science to prepare graduates for roles as researchers, analysts, and software engineers. While the content does not specify part-time/evening options, thesis vs. coursework tracks, assistantship stipends, or embedded certifications, the program offers flexibility through master's thesis/project options and accepts students from diverse STEM backgrounds. Graduates have secured positions at major employers including Amazon, Bayer, Bosch, Citigroup, Deloitte Consulting LLP, The Federal Reserve, and GE. Specific salary advancement data and employer tuition partnerships are not detailed on this page.

Programs offered

  • Master of Science in Engineering Data Analytics and Statistics · 1-2 years · on-campus

Research labs & institutes

  • McKelvey School of Engineering Research Labs — Machine learning, optimization, and data systems
  • Center for Biostatistics and Data Science — Clinical trials, genetic epidemiology, coordinating center activities
  • Center for Applied Health Informatics — Clinical informatics, population health, health AI
  • Personomics Lab — Personalized connectome and brain connectivity patterns
  • Breast Image Computing Lab — Machine learning for breast cancer screening and prevention
  • SAFE-T Lab — Patient safety, clinical decision support, perioperative care
  • CausAI Lab — Causal inference, federated learning, multimodal foundation models

Industry partners

Major tech companies (internship/recruiting partners)AmazonBayerBoschCitigroupDeloitte Consulting LLPThe Federal ReserveGEBJC Health SystemUK BiobankNIH

Career outcomes

Top employers: Amazon

Notable faculty

  • Dr. Philip R.O. Payne (Health AI, biomedical informatics, clinical decision support)
  • Dr. Li Ding (Cancer proteogenomics, computational biology)
  • Dr. Thomas Kannampallil (Biomedical informatics, human-AI interactions)
  • Dr. Dennis Barbour (Machine learning, auditory processing, medical informatics)
  • Dr. Roman Garnett (Bayesian machine learning, sequential decision making)
  • Dr. Deanna Barch (Population neuroscience, brain-behavior relationships)

Admissions

GPA 3.5 minimum.

Accreditation & certifications

ABET accredited engineering programs

Location advantage: Proximity to Washington University School of Medicine and biotech innovation Saint Louis growing tech sector and startup ecosystem Access to healthcare data and informatics research opportunities

#2Saint Louis UniversitySaint Louis, MO

Why it stands out. Two concentration tracks: Traditional Biostatistics or Geospatial Health Data Analytics. Capstone master's project (not thesis-based) conducted under faculty direction

Hakia insight. Saint Louis University's geospatial health data analytics concentration is the rare track that combines biostatistics rigor with location-based analytics—invaluable for epidemiologists and healthcare systems optimizing regional service delivery.

Saint Louis University's Master of Science in Biostatistics and Health Analytics prepares working professionals to analyze large-scale health data using advanced statistical methods and programming. The program offers two concentrations: Traditional Biostatistics and Geospatial Health Data Analytics. Students complete 33 credits through a structured curriculum combining core biostatistics theory, applied data management, and a capstone master's project conducted under faculty supervision. The program culminates in a capstone project rather than a thesis, allowing students to apply skills to real health analytics problems. Graduate research assistantships are available (merit-based, awarded to top applicants by priority deadline). All graduates complete a master's project requirement. Data scientists and biostatisticians are rated among the nation's top jobs for salary and job satisfaction. The College for Public Health & Social Justice reports 94% of recent graduates satisfied with their careers. STEM-designated program.

Programs offered

  • Master of Science in Biostatistics and Health Analytics · 1-2 years · on-campus

Industry partners

St. Louis Children's HospitalGenentechCorteva Agriscience

Notable faculty

  • Guo-Liang Tian (Biostatistics and health data analytics)

Admissions

GPA 3.0 recommended. Deadline February 1 for graduate assistantship priority consideration.

Accreditation & certifications

American Statistical Association's Board of Directors guidelines

Location advantage: St. Louis is a biotech and life sciences hub with significant pharmaceutical and healthcare technology presence Access to major healthcare networks and research institutions for internships and projects

#3Maryville University of Saint LouisSaint Louis, MO

Why it stands out. Flexible part-time or full-time accelerated format options. Fully online delivery

Hakia insight. Maryville's fully online, accelerated 30-credit MS in Data Analytics compresses the timeline for working professionals, meaning you can add a credential in 12 months rather than 18-24, a material advantage when competing for promotions.

The Master of Science in Data Analytics at Maryville University is a 30-credit program designed for working professionals seeking flexible learning options. Students can pursue either a full-time accelerated format or part-time schedule, with all coursework available online. The program combines 18 credits of core coursework in data analytics foundations, management, mining, visualization, predictive modeling, and a capstone project, with 12 elective credits allowing specialization alignment with career goals. Students can enhance credentials by embedding graduate certificates in Artificial Intelligence, Big Data, Machine Learning, Project Management, or Cybersecurity (Incident Response or Penetration Testing) into their electives. The capstone involves industry-relevant projects applying analytics skills to real business problems. Completion typically requires 1-2 years depending on format selection. The program is ACBSP-accredited and emphasizes practical business applications, ethical data use, and effective communication alongside technical competencies in statistical analysis and coding.

Programs offered

  • Master of Science in Data Analytics · 1-2 years · on-campus

Accreditation & certifications

The Higher Learning Commission

Location advantage: St. Louis financial services and healthcare sectors Regional manufacturing and supply chain analytics demand

#4University of Missouri-Kansas CityKansas City, MO

Why it stands out. Data Science Capstone project. Flexible elective specializations including Cloud Computing, Computer Vision, Business Analytics, Information Security and Assurance

Hakia insight. UMKC's partnerships with X and the Federal Reserve aren't just resume lines—they give students direct access to real financial services data through the dSAIC lab, meaning your capstone project could involve actual algorithmic challenges from institutions managing billions in transactions.

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 and analytics. The program offers a coursework-based track with a required Data Science Capstone, combining foundational knowledge in machine learning, big data management, and deep learning with flexibility through elective specializations in cloud computing, computer vision, business analytics, and information security. Students with non-CS/IT backgrounds complete prerequisite coursework before the main program. The curriculum emphasizes state-of-the-art techniques and team-based problem-solving, preparing graduates for advanced data science roles in leading technology and finance firms. No information provided on part-time/evening availability, graduate assistantships, embedded certifications, or salary outcomes.

Programs offered

  • Master of Science in Data Science Analytics · 1-2 years · on-campus

Research labs & institutes

  • NextGen Data Science and Analytics Innovation Center (dSAIC) — Data science, analytics, high-performance computing, and AI applications
  • Bani Lab — Mathematical methods and algorithms for data optimization, predictive models in healthcare
  • Data Mining, Database and Multimedia Research Group (DDM) — Data science, AI, large language models, machine learning, deep learning, big data analytics
  • DANS Lab (Data-Algorithms-Network Systems-Security Laboratory) — AI for Security, 5G/6G networks, IoT systems
  • DIGIT Lab — Machine learning, generative AI, digital twinning for civil infrastructure and urban systems
  • Cheng Han Lab — LLM Adaptability and Efficiency
  • Cao Lab — Structure-conforming Transformers for scientific computing using partial differential equations

Industry partners

X (formerly Twitter)Federal ReserveQualcommChildren's MercySaint Luke's ResearchUniversity Health ResearchFlorida Office of Insurance RegulationMid-America Regional Council (MARC)

Career outcomes

$124,501 median salary

Notable faculty

  • Dr. Shu-Ching Chen (Data science and analytics, AI applications)

Location advantage: Kansas City tech hub Proximity to financial services and healthcare employers Metropolitan regional network

#5University of Missouri-ColumbiaColumbia, MO

Why it stands out. Applied track option designed for working professionals with March 30 deadline for Spring entry. STEM OPT Extension eligible for post-graduation work authorization

Hakia insight. The March 30 Spring entry deadline signals a program built around working professionals' timelines, but the real advantage is STEM OPT eligibility combined with faculty like Jing Zhang (machine learning) and proximity to both Kansas City and St. Louis tech corridors—giving you flexibility to pivot between two major job markets mid-program.

The Master of Arts in Statistics at University of Missouri-Columbia offers flexibility for working professionals through both regular and applied track options. The program features an emphasis area in Data Analytics, allowing students to specialize in modern analytical methods. With a minimum 3.0 GPA requirement and consideration given to professional experience and maturity, the program accommodates career changers and mid-career professionals. The applied track (deadline March 30 for Spring entry) is designed for working students seeking faster completion. Graduates advance into data-focused roles with mid-career salary growth, as the STEM OPT Extension provides post-graduation work authorization for international graduates. While specific assistantship stipends and part-time scheduling details are not detailed in available materials, the program's structure supports working professionals balancing education with employment.

Programs offered

  • Master of Arts in Statistics with Data Analytics Emphasis · 1-2 years · on-campus

Industry partners

Monsanto (now Bayer)Emerson ElectricNestlé Purina PetCare

Notable faculty

  • Jing Zhang (Machine learning and predictive analytics)
  • Xishuang Dong (Data mining and knowledge discovery)

Location advantage: Central U.S. location with access to Midwest manufacturing and financial services sectors Proximity to Kansas City and St. Louis tech ecosystems

#6University of Missouri-St LouisSaint Louis, MO

Why it stands out. 100% evening classes. STEM-designated program

Hakia insight. Being ranked #1 in supply chain management for two consecutive years matters less than what that ranking reveals: 100% evening classes mean you're competing in a cohort of practitioners with real supply chain problems to solve, not hypotheticals, especially with Centene's healthcare logistics complexity just down the road.

The MS in Supply Chain Analytics is a STEM-designated 30-credit program ranked #1 in Best Master's in Supply Chain Management by Intelligent.com for two consecutive years. Designed for working professionals, the program offers 100% evening classes and flexible scheduling options including 4-, 8-, 12-, and 16-week course formats. The program bridges the gap between data science and supply chain expertise, training students in descriptive, predictive, and prescriptive analytics applied to supply chain management. Graduates gain comprehensive knowledge in purchasing, operations, logistics, and transportation with data-driven decision-making skills. The program serves professionals currently working in the field who want to enhance analytical skills, as well as data analysts seeking supply chain domain knowledge. Career advancement opportunities include roles as Business Intelligence Analysts, Logistics Managers, and Market Analysts, with median salaries of $77,520 and 18% employment growth projected through 2032. The program does not require GMAT scores and accepts students with 3.0+ GPA for regular admission.

Programs offered

  • Master of Science in Supply Chain Analytics · 1-2 years · on-campus

Research labs & institutes

  • Center for Terrorism Research and Analysis — Data analytics applications
  • Laboratory of Advanced Supply Chain Analytics (LASCA) — Data-driven decision-support for supply chain management
  • Supply Chain Risk and Resilience Research Institute (SCR3) — Supply chain risk management and resilience
  • Institute of Computational Harmonic Analysis — Multivariate splines and wavelets

Industry partners

Centene Corporation

Career outcomes

$77,520 median salary

Top employers: Intel

Notable faculty

  • null (Machine learning, network analysis, statistics)

Admissions

GPA 3.0. Deadline Fall: July 1 (domestic), May 1 (international); Spring: December 1 (domestic), October 1 (international); Summer: May 1 (domestic).

Accreditation & certifications

AACSB

Location advantage: St. Louis metro region with healthcare analytics (Centene), financial services, and growing tech sector Access to Centene partnership and major regional employers

#7Truman State UniversityKirksville, MO

Why it stands out. Data analytics curriculum emphasizes data storytelling and stakeholder communication as core learning outcomes, not afterthoughts, differentiating graduates in interpretive and advisory roles.

Hakia insight. Truman State's curriculum treats data storytelling and stakeholder communication as core competencies rather than soft skills—a distinction that directly addresses why many technically trained analysts stall in their careers, preparing you for advisory roles that command higher compensation.

At the master's level, truman State's approach to data analytics prioritizes analytical reasoning and communication alongside technical skill-building, preparing students who can explain complex findings to non-technical stakeholders—a capability that distinguishes them in the job market. The program incorporates data storytelling and visualization as core competencies, recognizing that the best analysis is useless if it cannot be understood and acted upon. Coursework spans statistics, programming (R and Python), database systems, and business analytics, with flexibility for students to deepen expertise in machine learning, time series analysis, or data engineering based on career goals. The liberal arts foundation means students also take courses in ethics, communication, and domain knowledge, reducing the risk of technically skilled analysts who lack judgment or clarity. Truman's location in Kirksville supports a close student-faculty environment where mentoring is personalized and internship placements are actively managed by faculty with regional and national networks.

Programs offered

  • Master of Science in Data Analytics · 1-2 years · on-campus
  • Master of Arts in Data Analytics · 1-2 years · online
#8Culver-Stockton CollegeCanton, MO

Hakia insight. Insufficient data provided for insight generation.

Programs offered

  • Master of Science in Data Analytics · 1-2 years · on-campus
  • Master of Arts in Data Analytics · 1-2 years · online

Best Doctoral Data Analytics programs

#1Washington University in St LouisSaint Louis, MO

Why it stands out. Full funding for all PhD students (tuition waiver + health insurance + generous stipend). Funding guaranteed with satisfactory progress

Hakia insight. Washington University's guaranteed full funding (tuition + health insurance + stipend) removes a major barrier for PhD candidates, but the real edge is proximity to the School of Medicine and faculty like Dr. Philip Payne—meaning your dissertation could simultaneously advance biomedical informatics research and open doors in the fastest-growing healthcare AI sector.

The PhD program in Electrical & Systems Engineering at Washington University in St. Louis offers full funding support including tuition waiver, health insurance, and generous stipend guaranteed throughout the program with satisfactory progress. The program requires 72 credit hours minimum (36 coursework, 24 research), with students taking oral qualifying exams before second year and preliminary research exams within two years of qualifying. Research spans four areas: applied physics, devices and circuits, signals and imaging, and systems science. Students must complete a doctoral dissertation with original research and pass final oral defense. Teaching requirement applies to PhD students. The program emphasizes research collaboration across departments and direct involvement with renowned faculty on cutting-edge research initiatives including quantum optics, sensors, data sciences and systems optimization.

Programs offered

  • PhD in Electrical & Systems Engineering · 4-6 years · on-campus

Research labs & institutes

  • McKelvey School of Engineering Research Labs — Machine learning, optimization, and data systems
  • Center for Biostatistics and Data Science — Clinical trials, genetic epidemiology, coordinating center activities
  • Center for Applied Health Informatics — Clinical informatics, population health, health AI
  • Personomics Lab — Personalized connectome and brain connectivity patterns
  • Breast Image Computing Lab — Machine learning for breast cancer screening and prevention
  • SAFE-T Lab — Patient safety, clinical decision support, perioperative care
  • CausAI Lab — Causal inference, federated learning, multimodal foundation models

Industry partners

Major tech companies (internship/recruiting partners)AmazonBayerBoschCitigroupDeloitte Consulting LLPThe Federal ReserveGEBJC Health SystemUK BiobankNIH

Notable faculty

  • Dr. Philip R.O. Payne (Health AI, biomedical informatics, clinical decision support)
  • Dr. Li Ding (Cancer proteogenomics, computational biology)
  • Dr. Thomas Kannampallil (Biomedical informatics, human-AI interactions)
  • Dr. Dennis Barbour (Machine learning, auditory processing, medical informatics)
  • Dr. Roman Garnett (Bayesian machine learning, sequential decision making)
  • Dr. Deanna Barch (Population neuroscience, brain-behavior relationships)

Admissions

GPA 3.5 minimum.

Accreditation & certifications

ABET accredited engineering programs

Location advantage: Proximity to Washington University School of Medicine and biotech innovation Saint Louis growing tech sector and startup ecosystem Access to healthcare data and informatics research opportunities

#2University of Missouri-ColumbiaColumbia, MO

Why it stands out. Mizzou distinguishes itself through embedded industry partnerships and a capstone-driven curriculum that prioritizes immediate employability in Midwest tech and finance sectors.

Hakia insight. Mizzou's doctoral programs distinguish themselves through capstone-driven employability rather than pure research output, leveraging Monsanto/Bayer and Emerson partnerships to ensure your dissertation addresses real manufacturing and agricultural analytics bottlenecks that tech companies actively recruit to solve.

At the doctoral level, mizzou's data analytics offerings center on practical, industry-aligned training that bridges statistics, computer science, and domain applications. The program emphasizes real-world problem-solving through capstone projects and partnerships with regional enterprises, giving students direct exposure to how analytics drives business decisions. You'll encounter a curriculum that balances foundational statistical theory with modern tools—Python, R, SQL, Tableau—and cloud platforms like AWS and Azure. The faculty blend academic rigor with industry consulting experience, meaning you're learning methods actively used in production environments. A notable strength is the program's embedded internship pathway; many students secure positions during their studies with companies operating in the Midwest tech corridor and Fortune 500 firms with Kansas City and St. Louis operations. Mizzou's location in central Missouri positions graduates well for roles in financial services, healthcare analytics, and manufacturing optimization—sectors with significant regional presence. The program also supports students pursuing relevant certifications (Google Data Analytics, Microsoft, AWS) alongside degree requirements, recognizing that employers increasingly value stackable credentials. Class sizes remain manageable, fostering direct mentorship and collaborative research opportunities. If your priority is transitioning quickly into an analytics role with demonstrated hands-on competency and strong regional industry networks, this program delivers that trajectory efficiently.

Programs offered

  • Doctor of Philosophy in Data Analytics · 4-6 years · on-campus
  • Doctor of Science in Data Analytics · 4-6 years · online

Industry partners

Monsanto (now Bayer)Emerson ElectricNestlé Purina PetCare

Notable faculty

  • Jing Zhang (Machine learning and predictive analytics)
  • Xishuang Dong (Data mining and knowledge discovery)

Location advantage: Central U.S. location with access to Midwest manufacturing and financial services sectors Proximity to Kansas City and St. Louis tech ecosystems