Best Bachelor's Data Analytics Degree Programs in Missouri
Washington University in St Louis — Saint Louis, MO
Key Distinction: 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. BS
Research Labs and Institutes
- McKelvey School of Engineering Research Labs
- Center for Biostatistics and Data Science
- Center for Applied Health Informatics
- Personomics Lab
- Breast Image Computing Lab
- SAFE-T Lab
- CausAI Lab
Industry Partners
- Major tech companies (internship/recruiting partners) (corporate)
- Amazon (employer)
- Bayer (employer)
- Bosch (employer)
- Citigroup (employer)
- Deloitte Consulting LLP (employer)
- The Federal Reserve (employer)
- GE (employer)
- BJC Health System (collaborator)
- UK Biobank (collaborator)
- NIH (collaborator)
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 Requirement: 3.5 minimum.
Requirements: 39 credits of core coursework in Computer Science, Mathematics, and Statistics, 12 credits of technical electives (at least one from Statistics/Data Science 4000+ level, at least one from CSE 4000+ level), 3 credits of Ethics and Professional Responsibility coursework, Mandatory practicum requirement (approved comprehensive data science project or internship), 8 credits of Natural Sciences electives, 18 credits of Humanities and Social Sciences electives, CWP 1500 College Writing I (3 credits), Engr 3100 Technical Writing (3 credits), Minimum grade of C- or better in all core courses and writing/science requirements
Accreditations and Certifications
- ABET accredited engineering programs
Location Advantages: Proximity to Washington University School of Medicine and biotech innovationSaint Louis growing tech sector and startup ecosystemAccess to healthcare data and informatics research opportunities
University of Missouri-Columbia — Columbia, MO
Key Distinction: 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. BS
Industry Partners
- Monsanto (now Bayer) (corporate)
- Emerson Electric (corporate)
- Nestlé Purina PetCare (corporate)
Career Outcomes
Top Employers: Intel.
Notable Faculty
- Jing Zhang — Machine learning and predictive analytics
- Xishuang Dong — Data mining and knowledge discovery
Location Advantages: Central U.S. location with access to Midwest manufacturing and financial services sectorsProximity to Kansas City and St. Louis tech ecosystems
Saint Louis University — Saint Louis, MO
Key Distinction: 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. BS
Industry Partners
- St. Louis Children's Hospital (nonprofit)
- Genentech (corporate)
- Corteva Agriscience (corporate)
Notable Faculty
- Guo-Liang Tian — Biostatistics and health data analytics
Admissions
GPA Requirement: 3.0 recommended. Application Deadline: February 1 for graduate assistantship priority consideration.
Requirements: Minimum 62 credits in major courses, Minimum 2.00 cumulative GPA in data science major courses by end of sophomore year, Maintain minimum 2.00 cumulative GPA in major courses each semester thereafter, Registered in at least one data science course counting toward major each academic year, Complete University Undergraduate Core (32-35 credits), Complete two Data Science Practica (2 credits total), Complete two-semester Capstone Project (4 credits total), Complete 12 credits in major electives (minimum 2 CSCI and 1 STAT course), Complete all required Mathematics/Statistics courses, Earn C- or better in critical courses
Accreditations and Certifications
- American Statistical Association's Board of Directors guidelines
Location Advantages: St. Louis is a biotech and life sciences hub with significant pharmaceutical and healthcare technology presenceAccess to major healthcare networks and research institutions for internships and projects
William Jewell College — Liberty, 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
Location Advantages:
University of Missouri-Kansas City — Kansas City, MO
Key Distinction: 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 and Institutes
- NextGen Data Science and Analytics Innovation Center (dSAIC)
- Bani Lab
- Data Mining, Database and Multimedia Research Group (DDM)
- DANS Lab (Data-Algorithms-Network Systems-Security Laboratory)
- DIGIT Lab
- Cheng Han Lab
- Cao Lab
Industry Partners
- X (formerly Twitter) (employer)
- Federal Reserve (employer)
- Qualcomm (employer)
- Children's Mercy (collaborator)
- Saint Luke's Research (collaborator)
- University Health Research (collaborator)
- Florida Office of Insurance Regulation (collaborator)
- Mid-America Regional Council (MARC) (collaborator)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Shu-Ching Chen — Data science and analytics, AI applications
Location Advantages: Kansas City tech hubProximity to financial services and healthcare employersMetropolitan regional network
Maryville University of Saint Louis — Saint Louis, MO
Key Distinction: 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
Accreditations and Certifications
- The Higher Learning Commission
Location Advantages: St. Louis financial services and healthcare sectorsRegional manufacturing and supply chain analytics demand
Truman State University — Kirksville, MO
Key Distinction: 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
Location Advantages:
Westminster College — Fulton, MO
Key Distinction: 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.
Northwest Missouri State University — Maryville, MO
Key Distinction: 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 Advantages: Proximity to Kansas City regional business hub
Central Methodist University-College of Liberal Arts and Sciences — Fayette, MO
Key Distinction: 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 Degree Programs in Missouri
Washington University in St Louis — Saint Louis, MO
Key Distinction: 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. MS
Research Labs and Institutes
- McKelvey School of Engineering Research Labs
- Center for Biostatistics and Data Science
- Center for Applied Health Informatics
- Personomics Lab
- Breast Image Computing Lab
- SAFE-T Lab
- CausAI Lab
Industry Partners
- Major tech companies (internship/recruiting partners) (corporate)
- Amazon (employer)
- Bayer (employer)
- Bosch (employer)
- Citigroup (employer)
- Deloitte Consulting LLP (employer)
- The Federal Reserve (employer)
- GE (employer)
- BJC Health System (collaborator)
- UK Biobank (collaborator)
- NIH (collaborator)
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 Requirement: 3.5 minimum.
Requirements: Master's thesis or project completion, Degree requirements per Graduate Bulletin
Accreditations and Certifications
- ABET accredited engineering programs
Location Advantages: Proximity to Washington University School of Medicine and biotech innovationSaint Louis growing tech sector and startup ecosystemAccess to healthcare data and informatics research opportunities
Saint Louis University — Saint Louis, MO
Key Distinction: 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. MS
Industry Partners
- St. Louis Children's Hospital (nonprofit)
- Genentech (corporate)
- Corteva Agriscience (corporate)
Notable Faculty
- Guo-Liang Tian — Biostatistics and health data analytics
Admissions
GPA Requirement: 3.0 recommended. Application Deadline: February 1 for graduate assistantship priority consideration.
Requirements: Maintain cumulative GPA of 3.0 in graduate courses, Complete 6 required core courses (18 credits): Theory of Biostatistics I & II, Introduction to General Linear Modeling, Applied Data Management, Methodological Approaches to Understanding Population Health, Master's Project, Complete one concentration (12 credits) — either Traditional Biostatistics or Geospatial Health Data Analytics, Complete 3 elective credits, Complete capstone Master's Project under faculty supervision
Accreditations and Certifications
- American Statistical Association's Board of Directors guidelines
Location Advantages: St. Louis is a biotech and life sciences hub with significant pharmaceutical and healthcare technology presenceAccess to major healthcare networks and research institutions for internships and projects
Maryville University of Saint Louis — Saint Louis, MO
Key Distinction: 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. MS
Accreditations and Certifications
- The Higher Learning Commission
Location Advantages: St. Louis financial services and healthcare sectorsRegional manufacturing and supply chain analytics demand
University of Missouri-Kansas City — Kansas City, MO
Key Distinction: 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. MS
Research Labs and Institutes
- NextGen Data Science and Analytics Innovation Center (dSAIC)
- Bani Lab
- Data Mining, Database and Multimedia Research Group (DDM)
- DANS Lab (Data-Algorithms-Network Systems-Security Laboratory)
- DIGIT Lab
- Cheng Han Lab
- Cao Lab
Industry Partners
- X (formerly Twitter) (employer)
- Federal Reserve (employer)
- Qualcomm (employer)
- Children's Mercy (collaborator)
- Saint Luke's Research (collaborator)
- University Health Research (collaborator)
- Florida Office of Insurance Regulation (collaborator)
- Mid-America Regional Council (MARC) (collaborator)
Career Outcomes
Median Salary: $NaN.
Notable Faculty
- Dr. Shu-Ching Chen — Data science and analytics, AI applications
Location Advantages: Kansas City tech hubProximity to financial services and healthcare employersMetropolitan regional network
University of Missouri-Columbia — Columbia, MO
Key Distinction: 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. MA
Industry Partners
- Monsanto (now Bayer) (corporate)
- Emerson Electric (corporate)
- Nestlé Purina PetCare (corporate)
Notable Faculty
- Jing Zhang — Machine learning and predictive analytics
- Xishuang Dong — Data mining and knowledge discovery
Location Advantages: Central U.S. location with access to Midwest manufacturing and financial services sectorsProximity to Kansas City and St. Louis tech ecosystems
University of Missouri-St Louis — Saint Louis, MO
Key Distinction: 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. MS
Research Labs and Institutes
- Center for Terrorism Research and Analysis
- Laboratory of Advanced Supply Chain Analytics (LASCA)
- Supply Chain Risk and Resilience Research Institute (SCR3)
- Institute of Computational Harmonic Analysis
Industry Partners
- Centene Corporation (corporate)
Career Outcomes
Median Salary: $NaN. Top Employers: Intel.
Notable Faculty
- null — Machine learning, network analysis, statistics
Admissions
GPA Requirement: 3.0. Application Deadline: Fall: July 1 (domestic), May 1 (international); Spring: December 1 (domestic), October 1 (international); Summer: May 1 (domestic).
Requirements: Comprehensive knowledge of supply chain aspects including purchasing, operations, logistics and transportation, Training in three-pillars of analytics (descriptive, predictive and prescriptive techniques)
Accreditations and Certifications
Location Advantages: St. Louis metro region with healthcare analytics (Centene), financial services, and growing tech sectorAccess to Centene partnership and major regional employers
Truman State University — Kirksville, MO
Key Distinction: 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
Location Advantages:
Culver-Stockton College — Canton, 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
Location Advantages:
Best Doctoral Data Analytics Degree Programs in Missouri
Washington University in St Louis — Saint Louis, MO
Key Distinction: 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. PhD
Research Labs and Institutes
- McKelvey School of Engineering Research Labs
- Center for Biostatistics and Data Science
- Center for Applied Health Informatics
- Personomics Lab
- Breast Image Computing Lab
- SAFE-T Lab
- CausAI Lab
Industry Partners
- Major tech companies (internship/recruiting partners) (corporate)
- Amazon (employer)
- Bayer (employer)
- Bosch (employer)
- Citigroup (employer)
- Deloitte Consulting LLP (employer)
- The Federal Reserve (employer)
- GE (employer)
- BJC Health System (collaborator)
- UK Biobank (collaborator)
- NIH (collaborator)
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 Requirement: 3.5 minimum.
Requirements: Complete 36 hours post-baccalaureate coursework, Complete 24 units research, Pass oral qualifying examination before second academic year, Pass oral preliminary research examination within two years of qualifying exam, Satisfy residency requirement, Satisfy teaching requirement, Write doctoral dissertation, Pass final oral examination defending dissertation, Take ESE 5980 Graduate Seminar each semester
Accreditations and Certifications
- ABET accredited engineering programs
Location Advantages: Proximity to Washington University School of Medicine and biotech innovationSaint Louis growing tech sector and startup ecosystemAccess to healthcare data and informatics research opportunities
University of Missouri-Columbia — Columbia, MO
Key Distinction: 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) (corporate)
- Emerson Electric (corporate)
- Nestlé Purina PetCare (corporate)
Notable Faculty
- Jing Zhang — Machine learning and predictive analytics
- Xishuang Dong — Data mining and knowledge discovery
Location Advantages: Central U.S. location with access to Midwest manufacturing and financial services sectorsProximity to Kansas City and St. Louis tech ecosystems
