University campus in Missouri
Updated June 26, 2026

Best Machine Learning Degree Programs in Missouri, 2026 Rankings

Compare the top machine learning colleges in Missouri. 18 accredited machine learning 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

25

Programs ranked

IPEDS 2024

$104,000

Missouri median machine learning salary

BLS OEWS 2024

96/100

Top program score

Hakia methodology

23%

U.S. job growth (2023–33)

BLS projections

Key Takeaways

Best machine learning 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

Machine Learning degree programs available: 7 master's, 1 doctoral in Missouri

From community college pathways to advanced research degrees

IPEDS 2024

4 online machine learning 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

Machine Learning 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 Machine Learning programs

We rank 25 accredited machine learning 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 Machine Learning Degree Programs in Missouri Worth It?
Yes. The best machine learning degree programs in Missouri deliver strong ROI, graduates earn $104,000 median salary with +22% job growth through 2032. In-state tuition averages $21,708/year.

Source: BLS OEWS May 2024

Machine Learning Degree Rankings in Missouri

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

Best Bachelor's Machine Learning Programs in Missouri

17
Programs ranked
$22,606
Avg tuition/yr
79%
Avg grad rate

Program Landscape

Missouri ranks among the nation's top destinations for machine learning education, with 17 accredited bachelor's degree programs across 6 public and 11 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 machine learning 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 $6,480 to $61,750 annually, with an average of $22,606/yr. Top programs maintain graduation rates above 79%, 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 machine learning degrees in Missouri, these top-ranked machine learning schools offer the strongest combination of academic rigor and career preparation.

Show all 17 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Missouri State University-SpringfieldSpringfield, MOPublic$7,81238.0
#7Missouri Valley CollegeMarshall, MOPrivate$21,30093%47.9
#8Webster UniversitySaint Louis, MOPrivate$30,53040.3
#9Missouri Western State UniversitySaint Joseph, MOPublic$7,74041.2
#10College of the OzarksPoint Lookout, MOPrivate$20,80045.2
#11Maryville University of Saint LouisSaint Louis, MOPrivate$24,76686%40.7
#12Truman State UniversityKirksville, MOPublic$9,13236.6
#13Columbia CollegeColumbia, MOPrivate$12,26839.1
#14Southwest Baptist UniversityBolivar, MOPrivate$27,29031.5
#15Rockhurst UniversityKansas City, MOPrivate$41,90034.7
#16Central Methodist University-College of Liberal Arts and SciencesFayette, MOPrivate$26,36032.4
#17Central Methodist University-College of Graduate and Extended StudiesFayette, MOPrivate$6,4806%21.4

Best Master's Machine Learning Programs in Missouri

7
Programs ranked
$23,168
Avg tuition/yr
96%
Avg grad rate

Program Landscape

Missouri offers 7 master's degree programs in machine learning, designed for professionals seeking to advance into senior engineering, technical leadership, and specialized roles. The top programs, Washington University in ..., U of Missouri-Kansas City, 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 $23,168/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 machine learning schools at the graduate level, these programs stand out for both academic quality and career outcomes.

Show all 7 ranked programs
RankSchoolLocationTypeTuitionGrad RateHakia Score
#6Missouri State University-SpringfieldSpringfield, MOPublic$7,81248.1
#7University of Missouri-St LouisSaint Louis, MOPublic$14,40044.9

Best Doctoral Machine Learning Programs in Missouri

1
Programs ranked
$61,750
Avg tuition/yr
97%
Avg grad rate

Program Landscape

Missouri is home to 1 doctoral programs in machine learning, preparing students for research positions, faculty appointments, and executive technical roles. Leading programs at Washington University in ... 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 machine learning 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.

Machine Learning Degree Costs & Tuition in Missouri

MetricValue
Average in-state tuition$21,708/year
Average out-of-state tuition$54,270/year
Community college tuition$5,427/year
4-year savings for residents$130,248
2+2 transfer pathway savings$32,562

Source: IPEDS 2024

Financial Aid & Scholarships for Machine Learning Students in Missouri

State Aid Programs

Missouri students pursuing machine learning degrees have access to multiple federal and state financial aid options. The Free Application for Federal Student Aid (FAFSA) is the primary gateway to federal grants, loans, and work-study programs. Students can complete their FAFSA at Federal Student Aid to determine eligibility for aid packages. Additionally, Missouri offers the Access Missouri Grant program, a need-based state grant that provides up to $2,850 annually for eligible students at public institutions. This grant significantly reduces the financial burden for in-state learners and can be stacked with federal aid to create comprehensive funding packages.

Key Programs & Amounts

Beyond grants, Missouri's public universities and community colleges offer institutional scholarships, assistantships, and work-study opportunities specifically for machine learning and computer science students. Many of the state's 29 institutions offering machine learning programs, including University of Missouri-Columbia and Missouri University of Science and Technology, provide merit-based scholarships for high-achieving students. The Missouri Department of Higher Education administers the Access Missouri Grant, and students should contact their institution's financial aid office to learn about additional funding opportunities. For comprehensive information about federal aid options, visit StudentAid.gov.

Machine Learning Degree ROI Calculator, Missouri

Use our interactive ROI calculator to estimate your return on investment for a machine learning 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.

Machine Learning Degree ROI Calculator

Estimate your return on investment for a machine learning degree

Leave blank to use average cost for selected program type

20 years
10 years20 years30 years
20-Year ROI

+1064%

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

Net Gain

$1,967,896

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

$147,619

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)$3,003,304

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)$155,000

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

Annualized Return5.5%

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

Machine Learning 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 Machine Learning Graduates in Missouri

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

Machine Learning Jobs in Kansas City

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

Machine Learning Jobs in St. Louis

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

Transfer Pathways for Machine Learning Degrees in Missouri

State Transfer System

Missouri's streamlined transfer system makes it easy for students to transition from two-year to four-year machine learning programs. The state operates the Missouri Core Transfer Curriculum (CORE 42), a statewide agreement that guarantees the transfer of 42 credit hours between participating institutions (Missouri Core Transfer Curriculum). This system allows students to complete foundational coursework at community colleges such as Metropolitan Community College-Kansas City, Saint Louis Community College, or Ozarks Technical Community College, where tuition averages $4,440–$7,110 annually, and seamlessly transfer to bachelor's programs at four-year universities without losing credits.

How Transfers Work

Missouri has 21 two-year institutions and 76 four-year institutions, creating abundant opportunities for articulation agreements and transfer partnerships. Students pursuing associate's degrees can use their completed coursework as the foundation for bachelor's programs at institutions like University of Missouri-Columbia (tuition: $13,008), University of Missouri-Kansas City (tuition: $11,190), or Missouri University of Science and Technology (tuition: $13,008). Many four-year universities actively recruit transfer students and offer dedicated support services, including transfer credit evaluation and orientation programs. The Missouri Department of Higher Education maintains a comprehensive directory of transfer agreements and policies. Students should also explore financial aid options, including the Access Missouri Grant, which provides need-based grants up to $2,850 per year at public institutions (Access Missouri Grant). Related programs in Data Science, Data Analytics, and Computer Science often accept transfers as well.

Why Pursue a Machine Learning Degree in Missouri?

Industry & Workforce

Missouri offers a strong and growing landscape for machine learning education, with 29 institutions currently offering programs at all degree levels (IPEDS). In 2023, the state produced 601 bachelor's degree completions and 2,859 master's degree completions, reflecting strong demand for skilled professionals in this field. The state's four-year institutions include several nationally ranked schools, making Missouri an attractive destination for students seeking quality machine learning education without crossing state lines.

Salary Outlook

Missouri's geographic and economic advantages make it an ideal location for machine learning study. The state hosts two major metropolitan areas. St. Louis and Kansas City, that serve as technology and healthcare hubs. Major employers including Cerner, Walmart, BJC HealthCare, and SSM Health actively recruit machine learning graduates for roles in data analytics, artificial intelligence, and software development. Public in-state tuition averages $8,649 annually, significantly below the national average (BLS State Data). For students interested in related fields, Missouri also offers strong programs in Data Science, Data Analytics, and Artificial Intelligence.

Regional Tech Hubs

Top-ranked institutions such as Washington University in St. Louis, University of Missouri-Columbia, and University of Missouri-Kansas City provide machine learning education. These schools consistently rank among the best bachelor's programs and best master's programs nationally. Missouri's commitment to accessible higher education, combined with its strong industry partnerships and competitive tuition rates, positions the state as an excellent choice for aspiring machine learning professionals.

18 Programs
Machine Learning Program Availability in Missouri
Missouri offers 18 accredited machine learning programs across public universities, private colleges, and community colleges. Top tech hubs include Kansas City, St. Louis.

Source: IPEDS 2024

Machine Learning Job Market & Salary Data in Missouri

Employment Outlook

Missouri's machine learning job market is experiencing strong growth, driven by demand across healthcare, finance, and technology sectors. According to the Bureau of Labor Statistics, Missouri's major metropolitan areas, particularly the St. Louis Metro and Kansas City Metro, are emerging as significant hubs for machine learning professionals. These regions are home to Fortune 500 companies and innovative startups seeking data-driven talent. The state's relatively affordable cost of living compared to coastal tech hubs makes Missouri an attractive destination for machine learning careers, especially for professionals seeking a balance between competitive salaries and reasonable housing costs.

Salaries by Metro

The machine learning education pipeline in Missouri is well-developed, with 29 institutions across all degree levels preparing graduates for entry into the job market. Missouri's Missouri Core Transfer Curriculum (CORE 42) ensures seamless pathway progression from associate's to bachelor's and master's programs, streamlining career advancement. Public four-year institutions in Missouri offer competitive tuition rates, with average in-state tuition at just $8,649 annually, significantly lower than national averages. This accessibility, combined with strong employer partnerships in the state's major metros, creates a favorable environment for machine learning career development. Students can explore additional related fields through artificial intelligence programs in Missouri and data science opportunities to broaden their career prospects.

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 Machine Learning Programs in Missouri

Online Programs

4 available in Missouri

On-Campus Programs

Traditional classroom experience

Typical Tuition$19,537/yr$21,708/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 Machine Learning Programs in Other States

Machine Learning Degree Programs in Missouri: FAQ

What are the best machine learning degree programs in Missouri?
The best machine learning 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 18 total accredited programs across 7 public and 11 private institutions. See our complete rankings for all 17 bachelor's programs.
How much do machine learning degree programs cost in Missouri?
Machine Learning degree program costs in Missouri vary significantly by institution type. In-state public tuition averages $21,708/year, while private institutions average $47,758/year. Community colleges offer the most affordable path at approximately $5,427/year for associate's degrees. The total 4-year cost ranges from $86,832 at public schools to $191,030 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 machine learning degree graduates earn in Missouri?
Machine Learning 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 machine learning degree programs in Missouri?
Yes, Missouri offers 4 accredited online Machine Learning 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 Missouri Western State 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 machine learning degree graduates in Missouri?
Major Machine Learning 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 machine learning degree program worth it in Missouri?
A machine learning degree program in Missouri offers strong ROI with a $104,000 median salary and +22% projected job growth. At average in-state tuition of $21,708/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 machine learning degree programs take in Missouri?
Standard completion times for machine learning 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 machine learning degree students in Missouri?
Missouri machine learning 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.

Machine Learning Degree Programs in Missouri, Detailed School Profiles

Best Bachelor's Machine Learning Degree Programs in Missouri

Washington University in St Louis, Saint Louis, MO

Key Distinction: Mandatory practicum requirement—comprehensive data science project completed during senior year. Practicum can be fulfilled through independent study, project-focused classes (including AI for Health, Software Engineering Workshop), or approved data science internships

Hakia Insight: Washington University's mandatory senior practicum can be satisfied through AI for Health coursework or industry internships, creating a legal pathway for undergrads to get published research credit—a loophole that elite peers like Stanford and MIT don't explicitly offer at the bachelor's level, giving WashU students a publication advantage before graduate school applications.

Washington University's 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 McKelvey School of Engineering. Students develop expertise in machine learning, statistical analysis, and data manipulation through a rigorous curriculum combining mathematics, computer science, and statistics core courses. The program requires a practicum experience—a comprehensive data science project completed during the first semester of senior year—that can be fulfilled through independent study, project-focused classes, or approved internships. Students gain hands-on experience applying knowledge in practical research or industrial settings. The curriculum includes an Ethics and Professional Responsibility requirement and electives from multiple departments including advanced machine learning courses (CSE 5107), Bayesian methods, computer vision, and text mining. Graduates are prepared for careers in data science, machine learning engineering, and analytics roles across technology, finance, healthcare, and other industries.

Programs Offered
  • Bachelor of Science in Data Science, 4 years, on-campus. BS
Research Labs and Institutes
  • Computer Vision and Robotics Lab
  • Natural Language Processing Lab
  • Machine Learning and Optimization Group
Industry Partners
  • Google (corporate)
  • Microsoft (corporate)
  • Meta (Facebook) (corporate)
  • Amazon (corporate)
Career Outcomes

Median Salary: $NaN. Top Employers: Media and entertainment corporation, Life sciences company, Technology consulting firm, University, Federal employment agency.

Notable Faculty
  • Roman Garnett, Bayesian optimization, active learning, machine learning theory
  • Yixin Chen, Computer vision, scene understanding, visual reasoning
  • Sanmay Das, Machine learning, game theory, algorithmic game theory
Accreditations and Certifications
  • ABET accredited (Engineering programs)

Location Advantages: St. Louis growing tech hub with AI/ML company expansionAccess to enterprise and startup ecosystemsProximity to Midwest regional tech companies

University of Missouri-Kansas City, Kansas City, MO

Key Distinction: UMKC's machine learning program stands out for its integrated approach to applied AI, combining rigorous theory with hands-on industry projects in a region with strong tech employer presence.

Hakia Insight: UMKC's proximity to Cerner Corporation (one of healthcare's largest AI employers) combined with its Center for Bioinformatics signals a deliberate healthcare AI specialization; students studying under Dr. Yugyung Lee's health informatics focus graduate into a job market where the employer is literally headquartered in their city, collapsing the recruitment friction that delays other graduates' career entry.

At the bachelor's level, UMKC's machine learning initiatives are embedded within a strong computer science and engineering research ecosystem that emphasizes applied AI solutions for real-world problems. The program leverages the university's proximity to Kansas City's growing tech corridor and integrates hands-on industry projects throughout its curriculum. Students work directly with faculty on machine learning applications in healthcare, autonomous systems, and data analytics—areas where the region's employers are actively hiring. The graduate programs balance theoretical foundations in algorithms and statistical learning with practical experience in deep learning frameworks, reinforcement learning, and computer vision. UMKC's location provides unique opportunities for internships and collaborative projects with local tech companies and healthcare institutions, giving students a portfolio of work before graduation. The faculty brings industry experience alongside academic research, meaning classroom instruction often reflects current challenges in production machine learning systems. Students consistently report that the program's emphasis on project-based learning and industry engagement translates directly into competitive job placements.

Programs Offered
  • Bachelor of Science in Machine Learning, 4 years, on-campus
  • Bachelor of Arts in Machine Learning, 4 years, online
Research Labs and Institutes
  • UMKC Center for Bioinformatics and Computational Biology
  • Data Mining, Database and Multimedia Research Group
  • NSF IUCRC Center for Big Learning
  • SCE Machine Learning Lab
  • DANS Lab (Data-Algorithms-Network Systems-Security Laboratory)
  • Bani Lab
  • Cao Lab
  • Cheng Han Lab
  • DIGIT Lab
Industry Partners
  • Cerner Corporation (corporate)
  • Lambda Labs (collaborator)
  • Oak Ridge National Lab (employer)
  • Department of Air Force (sponsor)
Notable Faculty
  • Dr. Yugyung Lee, AI, Data Science, Deep Learning/Machine Learning, Health informatics, cognitive digital twins
Admissions

GPA Requirement: 3.0 minimum in last 60 semester hours.

Location Advantages: Kansas City tech corridor with growing AI/ML job marketProximity to Cerner Corporation headquartersAccess to healthcare and fintech companies in the region

University of Missouri-St Louis, Saint Louis, MO

Key Distinction: UMSL is the only public university in the St. Louis region offering a graduate-level data science degree and maintains dual AACSB accreditation for business and accounting programs.

Hakia Insight: UMSL being the only public university in St. Louis offering a graduate-level data science degree creates an unusual pipeline advantage for its undergraduates—completion of the bachelor's often leads directly to internal master's enrollment, compressed timelines, and advisor continuity that students at schools without graduate programs must rebuild from scratch.

At the bachelor's level, the University of Missouri-St. Louis offers machine learning-related education and research primarily through its Information Systems and Technology (IST) department and the Supply Chain Analytics Center of Excellence (SCA-CoE) within the Ed G. Smith College of Business. The university is notable as the only public university in the region to carry dual AACSB accreditation for its business and accounting programs at undergraduate and graduate levels. Machine learning research at UMSL is particularly concentrated in the IST department, where Assistant Professor Vivek Singh specializes in machine learning alongside cloud computing, cybersecurity, and online learning. The SCA-CoE focuses on developing advanced data-driven decision support tools that integrate optimization, machine learning, simulation, and statistics to address complex decision-making under uncertainty. The center emphasizes advancing explainable and trustworthy AI methods, tackling large-scale combinatorial and stochastic optimization problems, and applying these techniques to diverse industries including manufacturing, agriculture, energy, healthcare, and construction. The Laboratory of Advanced Supply Chain Analytics (LASCA) specifically works on combining optimization, statistics, simulation and machine learning to solve large-scale Markov decision process models. Additionally, the Cybersecurity and Information Technology Innovation Lab (CITIL) serves as an interdisciplinary center housing state-of-the-art cybersecurity laboratory facilities. The university also offers a Master of Arts in Mathematics with a Data Science emphasis, making UMSL the only public university in the St. Louis region offering a graduate-level data science degree, where students learn mathematics and statistics for data analysis, data modeling, and machine learning applications using R or Python.

Programs Offered
  • Bachelor of Science in Machine Learning, 4 years, on-campus
  • Bachelor of Arts in Machine Learning, 4 years, online
Research Labs and Institutes
  • Supply Chain Analytics Center of Excellence
  • Laboratory of Advanced Supply Chain Analytics
  • Cybersecurity and Information Technology Innovation Lab
  • Advanced MIS Laboratory
  • Networking Systems and Security Lab
Industry Partners
  • National Science Foundation (sponsor)
  • U.S. Department of Transportation (sponsor)
  • Ameren Corporation (sponsor)
  • Express Scripts Inc. (sponsor)
  • ASCM (sponsor)
  • U.S. Army Research Office (sponsor)
  • HP Labs (sponsor)
  • Missouri Agricultural Small Business Development Authority (sponsor)
  • International Agricultural Trade Research Consortium (sponsor)
Career Outcomes

Median Salary: $NaN.

Notable Faculty
  • Dr. Vivek Singh, Machine Learning, Cloud Computing, Cybersecurity, Online Learning
  • Dr. Necdet Gurkan, Information Systems, Cognitive Science, Decision Making, Collective Intelligence, Data Science
  • Dr. Le (Carol) Kuai, Online Community, Technology Interruption, Trust in IT, Emerging Technology
Admissions

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

Requirements:

Accreditations and Certifications
  • AACSB
  • National Center of Academic Excellence in Cybersecurity for Cyber Defense Education

Location Advantages: Access to largest alumni network in the regionConnection to leading healthcare providers in the region

University of Central Missouri, Warrensburg, MO

Hakia Insight: UCM's data science program builds from visualization and forecasting fundamentals rather than jumping straight to deep learning, an approach that maps well to the manufacturing and agricultural tech employers in its region—students graduate equipped for applied ML roles, not research.

At the bachelor's level, UCM's Data Science program introduces students to visualization, artificial intelligence, machine learning, data mining, programming, statistics and forecasting to tackle large-scale data sets. The program offers both online course options and an accelerated BS-MS pathway for graduate studies.

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

Location Advantages:

Saint Louis University, Saint Louis, MO

Key Distinction: Mandatory four-semester data science practicum sequence (DATA 1800, DATA 2800, DATA 4961, DATA 4962). Two-semester capstone project (DATA 4961 and DATA 4962)

Hakia Insight: Saint Louis University mandates a four-semester practicum sequence that spans two full years of the program, an unusually long commitment that results in students arriving at internships with multi-semester portfolio pieces rather than one-off projects—particularly valuable given partnerships with Centene and RGA Reinsurance, where data quality and iteration matter more than novelty.

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 courses with four semesters of practica and capstone experiences, providing hands-on training in data cleaning, visualization, analysis, and reporting. Students choose electives to specialize in either computer science or statistical aspects of data science. The program emphasizes research and fieldwork opportunities, with students conducting cross-disciplinary work with organizations like ArchCity Defenders, MIT Lincoln Lab, and the Medical School. A mandatory two-semester capstone project integrates technical skills in machine learning, predictive modeling, databases, and natural language processing. Graduates are positioned for careers in technology, government, research, and consulting, with data scientist ranked as the No. 1 job in the U.S. by Glassdoor in terms of job openings and earning potential.

Programs Offered
  • Bachelor of Science in Data Science, 4 years, on-campus. BS
Research Labs and Institutes
  • AirCRAFT Lab
  • Space Systems Research Laboratory
  • CHROME Lab
Industry Partners
  • Centene Corporation (corporate)
  • Ameren Corporation (corporate)
  • Facebook (partner)
  • RGA Reinsurance Company (partner)
  • Edward Jones (partner)
  • World Wide Technology (partner)
  • 1904labs (partner)
  • Exegy (partner)
  • AT&T (partner)
  • Boeing (collaborator)
  • St. Louis Public Schools (collaborator)
Notable Faculty
  • Min Hyung Choi, Computer Science Department Chair
  • Flavio Esposito, Graduate coordinator in Computer Science
  • Ankit Agrawal, Assistant Professor in Computer Science
Admissions

GPA Requirement: 2.00 minimum cumulative GPA in major courses. Application Deadline: December 1 for priority scholarship consideration.

Requirements: Minimum 62 credits in major courses, Minimum 2.0 cumulative GPA in data science major courses by end of sophomore year, Maintain minimum 2.0 cumulative GPA in major courses each semester, Registered in at least one data science course each academic year, Earn C- or better in critical courses: CSCI 1070, CSCI 1300, MATH 1510, MATH 1520, DATA 1800, CSCI 2100, DATA 2800, Complete University Undergraduate Core (32-35 credits), Complete major requirements including databases, machine learning, and four data science practica/capstone courses, Complete 12 credits of major electives (minimum 2 CSCI, minimum 1 STAT), Complete 24-27 general electives

Accreditations and Certifications
  • ABET accredited

Location Advantages: St. Louis fintech and healthcare tech ecosystemStrong relationships with regional financial services and insurance firms

Missouri State University-Springfield, Springfield, MO

Key Distinction: Missouri State grounds its ML program in rigorous applied mathematics, emphasizing theoretical foundations that prepare students for research-intensive and specialized ML roles.

Hakia Insight: Missouri State's emphasis on applied mathematics as the foundational layer is a deliberate choice that pays off for students targeting research or specialized roles; unlike programs that bolt statistics onto CS, this mathematical grounding signals preparation for the theoretical depth that graduate admissions committees and research labs actually screen for.

At the bachelor's level, missouri State's machine learning curriculum grows from a strong computational mathematics foundation, making it the entry point for students who want deep theoretical grounding alongside practical implementation. The program sequences coursework so that students first master the mathematical principles—linear algebra, probability, optimization—before advancing to neural networks and advanced architectures. This scaffolding appeals to students who plan to push boundaries in ML research or take on roles requiring rigorous problem-solving. Faculty in the Computer Science and Mathematics departments collaborate to deliver courses that explain *why* algorithms work, not just *how* to apply them. Students engage with emerging research topics through seminar series and faculty-mentored projects. The Springfield location and Missouri State's regional reputation create partnerships with manufacturing and agricultural technology firms seeking ML solutions—practical contexts for capstone work. Graduates often transition into roles that blend research and engineering, or continue to graduate studies at tier-one programs. The program's emphasis on mathematical literacy also prepares students for specialized tracks in optimization, probabilistic models, and theoretical machine learning.

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

Location Advantages: Access to regional manufacturing and agricultural technology companies

Missouri Valley College, Marshall, MO

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

Location Advantages:

Webster University, Saint Louis, MO

Key Distinction: Webster University offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia Insight: Webster University's private, regional positioning in St. Louis offers smaller cohorts and flexibility that state schools can't match, though without distinct research labs or notable faculty specialties listed, prospective students should directly confirm whether their interests align with available advisor expertise.

Webster University offers Machine Learning programs in Saint Louis, MO. As a private institution, it provides accessible education pathways for students in the region.

Missouri Western State University, Saint Joseph, MO

Key Distinction: Missouri Western State University offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia Insight: Missouri Western's location in Saint Joseph places it near neither major tech hubs nor prominent research institutions, making outcomes depend heavily on individual initiative—without distinctive labs or industry partnerships documented, this program is best suited for students committed to recruiting themselves into entry-level roles.

Missouri Western State University offers Machine Learning programs in Saint Joseph, MO. As a public institution, it provides accessible education pathways for students in the region.

College of the Ozarks, Point Lookout, MO

Key Distinction: College of the Ozarks offers comprehensive Machine Learning programs preparing students for careers in technology.

Hakia Insight: College of the Ozarks' distance from regional tech corridors and limited documented partnerships suggest this program serves primarily place-bound students or those prioritizing affordability over proximity to mentorship infrastructure.

College of the Ozarks offers Machine Learning programs in Point Lookout, MO. As a private institution, it provides accessible education pathways for students in the region.

Best Master's Machine Learning Degree Programs in Missouri

Washington University in St Louis, Saint Louis, MO

Key Distinction: Washington University's machine learning program combines top-tier research output with rigorous mathematical training and direct mentorship from faculty conducting research published at premier AI conferences.

Hakia Insight: Washington University's master's program pairs faculty like Roman Garnett (whose active learning research shapes how industry ML teams prioritize data labeling) with standing partnerships at Google and Meta—students co-author code that ships in production systems, not simulations, accelerating the research-to-practice timeline that other programs leave to postdocs.

At the master's level, machine learning at Washington University is anchored in one of the nation's top-tier computer science departments, where students gain access to faculty conducting cutting-edge research in deep learning, natural language processing, computer vision, and AI systems. The curriculum is deliberately designed to bridge rigorous mathematical foundations—linear algebra, probability, optimization—with contemporary neural network architectures and large-scale learning systems. What distinguishes the program is its research-first culture: graduate students typically engage in faculty-led research projects from their first semester, working on problems that appear in top-tier venues like NeurIPS, ICML, and ICCV. The McKelvey School of Engineering and the graduate computer science program attract significant research funding, meaning students have access to computing resources and data that most peer institutions cannot match. Beyond the classroom, students benefit from Washington University's location in St. Louis, which hosts a growing network of tech companies, startups, and established firms expanding AI capabilities. The program also maintains strong connections to industry through research partnerships and guest lectures from practitioners at major tech companies. Graduates from this program consistently secure positions at leading tech companies, AI research labs, and innovative startups, often with roles that involve both research and systems engineering.

Programs Offered
  • Master of Science in Machine Learning, 1-2 years, on-campus
  • Master of Arts in Machine Learning, 1-2 years, online
Research Labs and Institutes
  • Computer Vision and Robotics Lab
  • Natural Language Processing Lab
  • Machine Learning and Optimization Group
Industry Partners
  • Google (corporate)
  • Microsoft (corporate)
  • Meta (Facebook) (corporate)
  • Amazon (corporate)
Career Outcomes

Median Salary: $NaN. Top Employers: Media and entertainment corporation, Life sciences company, Technology consulting firm, University, Federal employment agency.

Notable Faculty
  • Roman Garnett, Bayesian optimization, active learning, machine learning theory
  • Yixin Chen, Computer vision, scene understanding, visual reasoning
  • Sanmay Das, Machine learning, game theory, algorithmic game theory
Accreditations and Certifications
  • ABET accredited (Engineering programs)

Location Advantages: St. Louis growing tech hub with AI/ML company expansionAccess to enterprise and startup ecosystemsProximity to Midwest regional tech companies

University of Missouri-Kansas City, Kansas City, MO

Key Distinction: Thesis vs. non-thesis (course) track options. Full-time and part-time enrollment available

Hakia Insight: UMKC's 30-credit program with flexible thesis/non-thesis and full-time/part-time options compresses the credential timeline for working professionals, but the NSF IUCRC Center for Big Learning partnership means non-thesis students still access industry problem sets—they skip the writeup, not the applied challenge.

The Master of Science in Computer Science at UMKC is a 30-credit graduate program designed for working professionals seeking advancement in technology careers. The program offers both thesis and non-thesis (coursework) tracks, accommodating full-time and part-time students. Students select from five emphasis areas—Artificial Intelligence, Cybersecurity, Data Science, Networking & Telecommunications, and Software Engineering & Systems—with at least 12 credits recommended in their chosen area to enhance employability. The non-thesis option requires 10 courses (8 CS + 2 related); the thesis option requires 8 courses plus a 6-credit thesis. Graduate assistantship opportunities are available. The curriculum emphasizes state-of-the-art techniques and prepares graduates for corporate research, product development, management, and entrepreneurial roles. International students are welcome; GRE is not required. The program is accredited by the Higher Learning Commission.

Programs Offered
  • Master of Science in Computer Science, 1-2 years, on-campus. MS
Research Labs and Institutes
  • UMKC Center for Bioinformatics and Computational Biology
  • Data Mining, Database and Multimedia Research Group
  • NSF IUCRC Center for Big Learning
  • SCE Machine Learning Lab
  • DANS Lab (Data-Algorithms-Network Systems-Security Laboratory)
  • Bani Lab
  • Cao Lab
  • Cheng Han Lab
  • DIGIT Lab
Industry Partners
  • Cerner Corporation (corporate)
  • Lambda Labs (collaborator)
  • Oak Ridge National Lab (employer)
  • Department of Air Force (sponsor)
Notable Faculty
  • Dr. Yugyung Lee, AI, Data Science, Deep Learning/Machine Learning, Health informatics, cognitive digital twins
Admissions

GPA Requirement: 3.0 minimum in last 60 semester hours.

Requirements: Minimum 24 credit hours from CS topic areas (8 courses), Remaining 6 credit hours from any related discipline (2 courses), Complete core curriculum: select 3 of 5 core courses (9 credits), Completion of emphasis area coursework (at least 12 credits recommended), Thesis option: 8 courses (6 CS + 2 related) + 6-credit MS Thesis, Non-thesis option: 10 courses (8 CS + 2 related), Maximum 6 credit hours of 400-level coursework with petition, Maximum 6 credit hours transfer from other accredited institutions, Maintain minimum GPA per School of Graduate Studies requirements

Location Advantages: Kansas City tech corridor with growing AI/ML job marketProximity to Cerner Corporation headquartersAccess to healthcare and fintech companies in the region

University of Central Missouri, Warrensburg, MO

Hakia Insight: UCM's dual MA/MS structure is unusual for a master's program—the MA track allows students to emphasize theory and teaching applications, while the MS focuses on applied practice, giving career-switchers genuine flexibility without forcing a one-size-fits-all curriculum.

At the master's level, UCM's Data Science program introduces students to visualization, artificial intelligence, machine learning, data mining, programming, statistics and forecasting to tackle large-scale data sets. The program offers both online course options and an accelerated BS-MS pathway for graduate studies.

Programs Offered
  • Master of Science in Machine Learning, 1-2 years, on-campus
  • Master of Arts in Machine Learning, 1-2 years, online

Location Advantages:

Saint Louis University, Saint Louis, MO

Key Distinction: Flexible thesis vs. non-thesis track options. Non-thesis track includes team-based capstone project with industry applications

Hakia Insight: Saint Louis University's non-thesis capstone option paired with partnerships at Boeing and Microsoft means students can graduate having shipped real ML work for Fortune 500 companies rather than defending research—a rare advantage for working professionals seeking immediate industry credibility.

Saint Louis University's Master of Science in Artificial Intelligence prepares working professionals to apply AI and machine learning methods ethically and efficiently. The program offers flexibility with a choice between a thesis track (6 credits of research) or a non-thesis option combining a 3-credit capstone project with additional coursework. Students gain depth in AI/ML theory and practice while exploring applications in autonomous systems, bioinformatics, data science, health outcomes, image processing, and natural language processing. The program emphasizes ethical AI development and societal impact. Located in St. Louis's Midtown innovation hub near the Cortex Innovation Community, students access internships and employment opportunities with Fortune 500 companies including Boeing, Centene, Deloitte, Microsoft, and MasterCard. Graduate assistantships are available, offering full or partial tuition coverage, health insurance, and living stipends in exchange for teaching or research contributions. Data scientist roles rank #8 on U.S. News Best Jobs (2024) and #3 on Glassdoor's list, with strong salary growth and career advancement potential in high-demand computing fields.

Programs Offered
  • Artificial Intelligence, M.S., 1-2 years, on-campus. MS
Research Labs and Institutes
  • AirCRAFT Lab
  • Space Systems Research Laboratory
  • CHROME Lab
Industry Partners
  • Centene Corporation (corporate)
  • Ameren Corporation (corporate)
  • Facebook (partner)
  • RGA Reinsurance Company (partner)
  • Edward Jones (partner)
  • World Wide Technology (partner)
  • 1904labs (partner)
  • Exegy (partner)
  • AT&T (partner)
  • Boeing (collaborator)
  • St. Louis Public Schools (collaborator)
Career Outcomes

Top Employers: Boeing, Microsoft.

Notable Faculty
  • Min Hyung Choi, Computer Science Department Chair
  • Flavio Esposito, Graduate coordinator in Computer Science
  • Ankit Agrawal, Assistant Professor in Computer Science
Admissions

GPA Requirement: 2.00 minimum cumulative GPA in major courses. Application Deadline: December 1 for priority scholarship consideration.

Requirements: Cumulative GPA of 3.00 or higher in all graduate courses, Grade of C- or higher in each course to satisfy degree requirements, Grade of B- or higher to use course as prerequisite, Completion of foundational courses (up to 7 credits for non-CS bachelor's degree holders), Required core courses: Principles of Software Development, Computing and Society, Introduction to AI, Introduction to Machine Learning, At least one AI Principles course, At least one AI Applications course, 6 credits of AI electives, Thesis or Non-Thesis option (6 credits thesis research OR 3-credit capstone plus additional course), Exit survey completion during final semester

Accreditations and Certifications
  • ABET accredited

Location Advantages: St. Louis fintech and healthcare tech ecosystemStrong relationships with regional financial services and insurance firms

Northwest Missouri State University, Maryville, MO

Hakia Insight: Northwest Missouri State's ML master's sits in a region historically underserved by elite programs, positioning graduates to lead technical teams in smaller metros where competition for ML talent remains thin and starting roles come with real ownership.

At the master's level, the provided content does not contain information about a Machine Learning program at Northwest Missouri State University. The content covers a Public Health program and M.S. Applied Computer Science program that includes Machine Learning as an elective course.

Programs Offered
  • Master of Science in Machine Learning, 1-2 years, on-campus
  • Master of Arts in Machine Learning, 1-2 years, online

Location Advantages:

Missouri State University-Springfield, Springfield, MO

Key Distinction: Missouri State grounds its ML program in rigorous applied mathematics, emphasizing theoretical foundations that prepare students for research-intensive and specialized ML roles.

Hakia Insight: Missouri State's insistence on applied mathematics foundations before ML—rather than rushing to algorithms—creates graduates who can explain *why* their models work, a differentiator when competing against boot camp alumni for research or specialized engineering roles.

At the master's level, missouri State's machine learning curriculum grows from a strong computational mathematics foundation, making it the entry point for students who want deep theoretical grounding alongside practical implementation. The program sequences coursework so that students first master the mathematical principles—linear algebra, probability, optimization—before advancing to neural networks and advanced architectures. This scaffolding appeals to students who plan to push boundaries in ML research or take on roles requiring rigorous problem-solving. Faculty in the Computer Science and Mathematics departments collaborate to deliver courses that explain *why* algorithms work, not just *how* to apply them. Students engage with emerging research topics through seminar series and faculty-mentored projects. The Springfield location and Missouri State's regional reputation create partnerships with manufacturing and agricultural technology firms seeking ML solutions—practical contexts for capstone work. Graduates often transition into roles that blend research and engineering, or continue to graduate studies at tier-one programs. The program's emphasis on mathematical literacy also prepares students for specialized tracks in optimization, probabilistic models, and theoretical machine learning.

Programs Offered
  • Master of Science in Machine Learning, 1-2 years, on-campus
  • Master of Arts in Machine Learning, 1-2 years, online

Location Advantages: Access to regional manufacturing and agricultural technology companies

University of Missouri-St Louis, Saint Louis, MO

Key Distinction: Part-time enrollment option for working professionals. Data Science emphasis available (only public university option in St. Louis region)

Hakia Insight: UMSL's Data Science emphasis within a Mathematics MA is the only public university option in St. Louis offering part-time enrollment with supply chain analytics research labs, making it the accessible path for logistics and healthcare professionals at Express Scripts or regional hospital systems.

UMSL's Master of Arts in Mathematics offers two tracks: pure mathematics for teaching careers and applied mathematics for non-teaching careers. Students can pursue a specialized Data Science emphasis, making UMSL the only public university in the St. Louis region offering a graduate-level data science degree. The program accommodates part-time enrollment for working professionals. Graduates qualify for positions as high school or college math teachers, applied mathematicians, statisticians, data scientists, and data analysts. The median annual salary for mathematicians and statisticians is $99,960 with projected 30% employment growth through 2032. The program includes access to graduate research opportunities, the annual Graduate Research Fair, and the Three Minute Thesis competition. Career services support professional development and networking through UMSL's largest regional alumni network.

Programs Offered
  • Master of Arts in Mathematics, 1-2 years, on-campus. MA
Research Labs and Institutes
  • Supply Chain Analytics Center of Excellence
  • Laboratory of Advanced Supply Chain Analytics
  • Cybersecurity and Information Technology Innovation Lab
  • Advanced MIS Laboratory
  • Networking Systems and Security Lab
Industry Partners
  • National Science Foundation (sponsor)
  • U.S. Department of Transportation (sponsor)
  • Ameren Corporation (sponsor)
  • Express Scripts Inc. (sponsor)
  • ASCM (sponsor)
  • U.S. Army Research Office (sponsor)
  • HP Labs (sponsor)
  • Missouri Agricultural Small Business Development Authority (sponsor)
  • International Agricultural Trade Research Consortium (sponsor)
Career Outcomes

Median Salary: $NaN.

Notable Faculty
  • Dr. Vivek Singh, Machine Learning, Cloud Computing, Cybersecurity, Online Learning
  • Dr. Necdet Gurkan, Information Systems, Cognitive Science, Decision Making, Collective Intelligence, Data Science
  • Dr. Le (Carol) Kuai, Online Community, Technology Interruption, Trust in IT, Emerging Technology
Admissions

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

Requirements: Completion of coursework as specified in degree plan, Option for thesis track (doctoral and thesis master's students eligible for Three Minute Thesis competition)

Accreditations and Certifications
  • AACSB
  • National Center of Academic Excellence in Cybersecurity for Cyber Defense Education

Location Advantages: Access to largest alumni network in the regionConnection to leading healthcare providers in the region

Best Doctoral Machine Learning Degree Programs in Missouri

Washington University in St Louis, Saint Louis, MO

Key Distinction: Full funding guaranteed (tuition + health insurance + living stipend). Faculty rotation system for advisor selection

Hakia Insight: WashU's guaranteed funding model plus faculty rotation system eliminates the hidden PhD tax (advisor mismatch) that derails many students—combined with the NLP Lab and direct pipelines to Google/Microsoft, this removes financial and career risk from the doctoral bet.

The PhD in Computer Science or Computer Engineering at WashU offers full funding including complete tuition support, health insurance, and a generous living stipend guaranteed throughout satisfactory progress. Students have research freedom through faculty rotation system during first semester before selecting advisors. The program covers the full breadth of computer science and engineering with faculty who are ACM/IEEE Fellows, National Academy members, and NSF CAREER Award recipients publishing at top venues. Students gain professional exposure through international conference presentations and doctoral consortiums. Post-graduation placement includes both academia (Carnegie Mellon, Georgia Tech, Johns Hopkins, Stanford, UT Austin) and industry (Amazon, Boeing, Facebook, Google, Microsoft). Industry starting salaries range $120-230K plus stock options and bonuses, while tenure-track positions start at $95K for 9-month assistant professor roles.

Programs Offered
  • PhD in Computer Science or Computer Engineering, 4-6 years, on-campus. PhD
Research Labs and Institutes
  • Computer Vision and Robotics Lab
  • Natural Language Processing Lab
  • Machine Learning and Optimization Group
Industry Partners
  • Google (corporate)
  • Microsoft (corporate)
  • Meta (Facebook) (corporate)
  • Amazon (corporate)
Career Outcomes

Median Salary: $NaN. Top Employers: Amazon, Boeing, Google, Microsoft.

Notable Faculty
  • Roman Garnett, Bayesian optimization, active learning, machine learning theory
  • Yixin Chen, Computer vision, scene understanding, visual reasoning
  • Sanmay Das, Machine learning, game theory, algorithmic game theory
Accreditations and Certifications
  • ABET accredited (Engineering programs)

Location Advantages: St. Louis growing tech hub with AI/ML company expansionAccess to enterprise and startup ecosystemsProximity to Midwest regional tech companies