Missouri Machine Learning Masters Programs

The Show-Me State leverages its central location, affordable operating costs, and growing tech talent pool to attract major technology investments. in AI and machine learning. Missouri’s central location and existing data center infrastructure, including facilities like SubTropolis Technology Center, position the state as an ideal hub for edge computing deployments.

• Google announced a $1 billion data center investment in Kansas City, Missouri in 2024
• The facility includes a partnership with Evergy to add 400 megawatts of carbon-free energy from the Missouri-based Beavertail Solar farm
• Scale AI Inc., a Silicon Valley-based AI startup, established operations in St. Louis to serve government clients.
• The T-REX initiative in St. Louis supports approximately 200 tech companies bringing 5,000 jobs to the region.

Energy innovation and a focus in sustainability are also driving developments in machine learning.

• University of Missouri researcher Chanwoo Park received a $1.6 million Department of Energy grant to develop energy-efficient cooling systems for AI data centers
• Missouri’s energy research initiatives focus on meeting the growing demand from AI infrastructure while maintaining grid stability and sustainability

Despite Missouri’s growing AI ecosystem and major corporate investments, the state still faces talent shortages in specialized AI and machine learning roles.

Thats where you come in: a master’s in machine learning provides the advanced technical skills needed to capitalize on Missouri’s expanding opportunities.

2026 Best Schools for Masters in Machine Learning Degrees in Missouri

Looking for the best schools in Missouri to earn your master's in machine learning? mastersinmachinelearning.org has done the research to bring you top-ranked programs that fit your needs. Our rankings highlight institutions with strong curricula, expert faculty, and great career outcomes, making it easier for you to choose the right path. We base our evaluations on thorough criteria to ensure accuracy and reliability. For details on how we rank these schools, check out our ranking methodology.

#1

Saint Louis University

Saint Louis, MO - Private 4-year - slu.edu

Master's - Artificial Intelligence, M.S. (Autonomous systems, Bioinformatics, Data science)

Campus Based - Visit Website

Saint Louis University's Master of Science in Artificial Intelligence offers concentrations in Autonomous Systems, Bioinformatics, and Data Science, focusing on ethical AI development and practical applications. This campus-based program requires a STEM bachelor's degree with strong computational skills and does not mandate an entrance exam. With a total cost of approximately $42,000 and financial aid available, students benefit from St. Louis's tech community and Fortune 500 companies for internships and job opportunities, culminating in a research thesis or capstone project.

• Campus-based program.
• Specializations in key AI areas.
• Ethical AI development focus.
• Proximity to tech and Fortune 500 companies.
• STEM bachelor's required for admission.
• $42,000 total program cost.
• Financial aid options available.
• Research thesis or capstone project.
• Strong computational skills prerequisite.
• Emphasis on practical AI applications.

#2

University of Central Missouri

Warrensburg, MO - Public 4-Year - ucmo.edu

Master's - Data Science and Artificial Intelligence

Online & Campus Based - Visit Website

The Master of Science in Data Science and Artificial Intelligence at the University of Central Missouri is an HLC-accredited hybrid program that blends theory with practical skills in machine learning, data visualization, big data analytics, and natural language processing. It offers flexible learning options, including online, in-person, and weekend classes, ideal for working professionals. With a 95% employment rate within six months of graduation, graduates secure roles at top companies like Boeing and IBM, supported by access to state-of-the-art labs, research opportunities, and strong industry connections. An entrance exam may be required for admission.

• HLC-accredited program.
• Flexible hybrid learning options.
• 95% employment rate post-graduation.
• Focus on machine learning, data visualization.
• Access to state-of-the-art labs.
• Opportunities for research and hackathons.
• Strategic location near tech companies.
• Competitive tuition rates.
• Graduate assistantships available.
• Strong industry connections.

#3

Southeast Missouri State University

Cape Girardeau, MO - Public 4-Year - semo.edu

Master's - Applied Computer Science

Campus Based - Visit Website

Southeast Missouri State University offers an on-campus Master's in Applied Computer Science, designed to equip students for technology careers with a focus on cybersecurity, cloud computing, and data analytics. The program requires a bachelor's degree in a related field or prerequisites with a 3.0 GPA, but does not specify an entrance exam. It includes hands-on experiences like the Cyber Command Center for real-world simulations, preparing graduates for roles such as software developers and systems administrators, with potential salaries from $89k to $114k.

• On-campus program
• 30 credit hours
• Thesis and non-thesis options
• Prepares for developer, programmer roles
• Access to Cyber Command Center
• Graduate assistantships available
• 3.0 GPA requirement
• Bachelor's degree prerequisite
• Courses in cybersecurity, cloud computing
• Real-world cyber threat simulations

*Original data from: National Center for Education Statistics' IPEDS program (2024).

Where Can Machine Learning Grads Work in Missouri?

Data Centers & Cloud Infrastructure

Kansas City–area data center operator QTS Data Centers recently expanded its 1 million sq ft campus in North Kansas City, anchoring ML roles in infrastructure automation and AI workload orchestration. In St. Louis, EdgeConneX opened a 50 MW facility in 2022 that employs data scientists and ML engineers to optimize power usage and cooling efficiency for hyperscale clients.

Aerospace & Defense

Boeing Defense, Space & Security (St. Louis) hires dozens of ML engineers to develop predictive maintenance algorithms for aircraft and satellite systems. Meanwhile, consultancy Booz Allen Hamilton’s Kansas City office supports U.S. DoD programs with computer vision and signal-processing teams working on next-generation autonomous systems.

HealthTech & Biotech AI

Health IT giant Cerner (North Kansas City) employs data scientists to build real-time patient risk-scoring models. In St. Louis, Washington University School of Medicine’s Institute for Informatics recruits ML experts to advance AI-driven cancer diagnostics and population-health analytics in partnership with BJC HealthCare.

Enterprise & Consulting

Global consultancies like Accenture and Slalom maintain sizable practices in Kansas City and St. Louis, deploying ML engineers on engagements ranging from retail demand forecasting to smart-city IoT analytics. Local boutique firms such as Point B also serve regional financial services and manufacturing clients with custom AI solutions.

Government & Academic Research

The University of Missouri’s Interdisciplinary Center for Security, Reliability & Trust (CenSRT) hires ML researchers to develop secure-by-design algorithms for critical-infrastructure modeling, while the Missouri Department of Health & Senior Services leverages predictive analytics teams to track epidemiological trends and optimize resource allocation.

What is the Job Market Like for Machine Learning Experts in MO?

Who’s Hiring Machine Engineers in Missouri?

Below are some examples of organizations that are looking for machine learning developers.

Autonomous Vehicle and Technology Leaders ($134K-$285K)

General Motors leads compensation at $134,000-$205,000 for Senior Machine Learning Engineers working on autonomous vehicle simulation in Jefferson City. This remote role focuses on the Smart Agents group, developing ML/AI models that control simulated road users for AV training scenarios. The position requires 4+ years of robotics or latency-sensitive backend experience, expertise in TensorFlow or PyTorch, and strong C++/Python skills. GM’s technology stack includes Generative AI models (GPT) and Reinforcement Learning policies for testing autonomous vehicle driving systems.

Rivian offers premium compensation at $228,000-$285,000 for Staff Machine Learning Engineers specializing in motion planning and autonomy. This role requires M.S. or Ph.D. in Machine Learning with 6+ years of production ML experience, expert-level Python and PyTorch/TensorFlow skills, and deep understanding of perception, prediction, and planning in self-driving applications. Candidates work on decision-making aspects of the Rivian Autonomy stack, using millions of miles of driving data to power complex workflows for electric adventure vehicles.

Financial Services and Fintech Innovation ($165K-$264K)

Mastercard in Oak Grove provides $165,000-$264,000 for Principal AI/ML Feature Engineers requiring 10+ years of experience in AI/ML feature engineering with production pipeline deployment. This role demands proficiency in Python, Scala, or Java, extensive experience with data manipulation libraries (Pandas, NumPy, Spark), and hands-on cloud platform expertise. Candidates design cutting-edge ML features driving core business value, building sophisticated data pipelines for payment analytics and fraud detection systems.

Vividly in Missouri City seeks AI/ML Software Engineers for their trade promotion management platform, focusing on the $8 trillion consumer packaged goods industry. This role requires 5+ years of ML experience with strong Python skills and expertise in time-series, regression, and forecasting models. Engineers develop lift prediction models, price elasticity tools, and LLM-powered planning assistants for brands like Liquid Death and Amy’s, directly influencing promotional strategies for major retailers.

Healthcare and Life Sciences ($142K-$265K)

Roche Holdings offers $142,500-$264,700 for Principal Machine Learning Engineers focusing on computational pathology and AI algorithms for cancer patient care. This remote position requires 8+ years of algorithm implementation experience, advanced Python and C++ skills, and familiarity with AWS cloud computing. The role involves translating research code into deployable products for medical devices in regulated environments, emphasizing computer vision and deep learning methods for diagnostic applications.

Defense and Intelligence Applications

SecureVision in St. Louis seeks Machine Learning Engineers for geospatial intelligence applications, requiring security clearance and 5+ years of experience. This role focuses on computer vision and vision language models for satellite imagery analysis, object detection, and visual question answering using geospatial datasets. Candidates need expertise in transfer learning, knowledge distillation, PyTorch/TensorFlow, and CUDA for GPU-accelerated computing, serving critical national security applications.

Technology Platforms and Startups

Scale AI in Brentwood offers $176,000-$220,000 for Machine Learning Engineers specializing in GenAI Applied ML for fraud detection and trust & safety systems. This role requires 3+ years of production ML experience, proficiency in scikit-learn, PyTorch, TensorFlow, and hands-on LLM experience. Engineers build real-time detection systems analyzing behavioral and content signals to ensure quality and safety of AI training data for frontier models.

Consulting and Entry-Level Opportunities

SynergisticIT in Rolla provides entry-level Machine Learning Engineer positions for recent graduates with Computer Science, Engineering, Mathematics, or Statistics degrees. The company emphasizes skill development in Java, Python, statistics, and data visualization tools, offering pathways for candidates seeking to transition into the tech industry. They assist with STEM extensions and visa sponsorships while connecting candidates with major tech companies including Google, Apple, and PayPal.

Robotics Technology LLC seeks remote Machine Learning and Data Science Engineers for contract positions, requiring expertise in supervised, unsupervised, and reinforcement learning model development. The role emphasizes data analysis, feature engineering, model evaluation, and cross-functional collaboration with software engineers and product managers for production system implementation.

Common Requirements Across Missouri Employers

Technical Skills: Python programming dominates all job postings, with PyTorch and TensorFlow being the most requested frameworks. Cloud platform experience (AWS, GCP, Azure) appears consistently, while autonomous vehicle roles emphasize C++ and real-time systems expertise.

Experience Levels: Entry-level positions welcome recent graduates with relevant technical skills, while senior roles require 4-10+ years of specialized experience. Principal and staff positions demand advanced degrees (M.S./Ph.D.) with proven track records in production ML systems.

Industry Specialization: Missouri’s automotive heritage drives demand for autonomous vehicle applications, while the state’s agricultural leadership creates opportunities in AgTech and food innovation. Financial services leverage Missouri’s central location for payment processing and analytics platforms.

Security Clearances: Defense and intelligence roles require active security clearances, significantly impacting earning potential and restricting opportunities to U.S. citizens with appropriate background investigations.

Cross-Disciplinary Applications: Many positions require expertise spanning multiple domains—autonomous vehicles need robotics and real-time systems knowledge, healthcare roles demand regulatory compliance understanding, and financial services require fraud detection and risk management expertise.

Soft Skills: All employers emphasize cross-functional collaboration, stakeholder communication, and the ability to translate complex technical concepts for business audiences. Leadership and mentoring capabilities are particularly valued in senior positions, especially at established companies like GM and emerging leaders like Rivian.

Missouri’s machine learning job market reflects the state’s economic diversification, combining traditional automotive and agricultural expertise with cutting-edge AI applications in healthcare, finance, and defense. The salary ranges demonstrate strong demand for ML professionals who can bridge technical expertise with business acumen while leveraging Missouri’s strategic advantages in logistics, energy, and central U.S. market access.