Best Bachelor's Data Analytics Degree Programs in Ohio
Ohio State University-Main Campus — Columbus, OH
Key Distinction: By making sense of a vast information landscape, data analytics is transforming the way we understand and interact with the world.
Hakia Insight: Ohio State's $122,840 median salary reflects not just rigorous curriculum but deliberate placement into Accenture and Cardinal Health roles that demand both Parthasarathy's AI depth and Hans's statistical rigor—a combination most state flagships don't maintain simultaneously, explaining the premium over peer institutions.
The Bachelor of Science in Data Analytics at Ohio State University provides a rigorous foundation in computational, mathematical, and statistical principles essential to data analytics. The program requires 51 credit hours of core coursework covering software development, discrete structures, linear algebra, probability, statistical inference, statistical modeling, database systems, and statistical learning. Students develop critical thinking and communication skills while investigating data representation, retrieval, and analysis. The curriculum emphasizes applying knowledge across domains, detecting patterns in data, and communicating findings in organizational settings. The program includes foundational courses in software engineering (CSE 2221, CSE 2231), mathematics (Math 2568), statistics (Stat 3201, 3202, 3301, 3302, 3303), database systems (CSE 3241), systems modeling (ISE 3230), and advanced topics in statistical learning (Stat 4620), data mining, and visualization. Electives allow specialization in advanced database management, cloud data management, scientific visualization, and visual analytics.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus. BS
Industry Partners
- Accenture (consulting)
- Cardinal Health (healthcare)
- Columbus Blue Jackets (sports)
- Ford (automotive)
- JPMorgan Chase (finance)
- Nationwide Children's Hospital (healthcare)
- PwC (consulting)
- Zillow (tech)
Career Outcomes
Median Salary: $122,840. Top Employers: Accenture, Cardinal Health, Columbus Blue Jackets, Ford, Infoverity, JPMorgan Chase, Nationwide Children's Hospital, PwC, Zillow.
Notable Faculty
- Dr. Srinivasan Parthasarathy — data analytics, artificial intelligence
- Christopher Hans — statistics
Admissions
GPA Requirement: 3.00.
Requirements: CSE 2221: Software I, Software Components, CSE 2231: Software II, Software Development and Design, CSE 2321: Foundations I, Discrete Structures, CSE 2421 or CSE 3430, Math 2568: Linear Algebra, CSE 3241: Introduction to Database Systems, Stat 3201: Introduction to Probability for Data Analytics, Stat 3202: Introduction to Statistical Inference for Data Analytics, Stat 3301: Statistical Modeling for Discovery I, Stat 3302: Statistical Modeling for Discovery II, Stat 3303: Bayesian Analysis and Statistical Decision Making, ISE 3230: Systems Modeling and Optimization for Analytics, Stat 4620: Introduction to Statistical Learning, CSE 5242, CSE 3244, or CSE 5243 (one elective), CSE 5544 or ISE 5760 (visualization elective)
Location Advantages:
Ohio University-Main Campus — Athens, OH
Key Distinction: Multidisciplinary curriculum across multiple colleges. Capstone project with emphasis on real-world industry problem-solving
Hakia Insight: Ohio University's mandatory capstone with INFORMS partnership means your final project isn't a theoretical exercise but often a real operations research problem submitted to industry review; Intel recruiting here signals that students emerge with portfolio pieces, not just coursework.
The Bachelor of Science in Data Analytics at Ohio University prepares students for in-demand careers in data analysis and data-centric problem-solving. The program features a multidisciplinary curriculum spanning computation, computer science, and data visualization, with students selecting a concentration aligned to their career goals. Core coursework includes introductory data science, programming, data visualization, and a capstone project emphasizing real-world problem-solving in industry contexts. Students gain practical experience in obtaining, cleaning, and analyzing large datasets using cutting-edge tools and approaches. The program is designed to meet employer needs and support career development across diverse sectors where data analytics expertise drives advancement.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus. BS
Industry Partners
- INFORMS (professional organization)
Career Outcomes
Top Employers: Intel.
Accreditations and Certifications
- AACSB
- aCAP® credential from INFORMS
Location Advantages:
Denison University — Granville, OH
Key Distinction: A liberal arts data analytics program that emphasizes ethical reasoning, stakeholder communication, and real-world problem framing alongside technical skills.
Hakia Insight: Denison's explicit integration of ethical reasoning and stakeholder communication into technical curriculum—rather than treating them as soft skills add-ons—positions liberal arts graduates to navigate the messy reality at Victoria's Secret or DHL where the technical answer often isn't the organizationally acceptable one, a maturity gained from broader contextualization.
At the bachelor's level, denison's approach to data analytics integrates quantitative rigor with liberal arts breadth, encouraging students to frame analytics questions within broader societal contexts—not just optimize business metrics. The program draws on the college's strong mathematics and computer science foundations while layering in statistics, data visualization, and machine learning fundamentals. Hands-on learning happens through capstone projects partnered with nonprofits, local businesses, and research initiatives, giving students experience translating messy real-world problems into analytical pipelines. Faculty maintain active research interests spanning computational social science, environmental data analysis, and educational technology, which frequently become student thesis and project topics. Denison graduates entering analytics roles tend to stand out for their ability to ask clarifying questions and contextualize findings—skills less common in more narrowly technical programs. The residential liberal arts setting fosters close mentorship and collaborative problem-solving that becomes embedded in how students approach their careers.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Career Outcomes
Top Employers: Victoria's Secret, DHL, Wendy's.
Location Advantages: Central Ohio proximity to Columbus tech ecosystem and corporate headquarters
University of Cincinnati-Main Campus — Cincinnati, OH
Key Distinction: Mandatory Universal Co-operative Education with two required co-op rotations. Real-world paid work assignments with leading companies (not busy work)
Hakia Insight: Cincinnati's mandatory two co-op rotations aren't resume-padding; Lindner's model embeds real paid work into degree requirements, meaning students graduate with 6+ months of genuine analytics problem-solving experience already on their transcript—most competitors offer co-ops as optional, leaving graduates competing on theory alone.
The Bachelor of Science in Business Analytics at UC Lindner College of Business prepares students to transform data into actionable insights for organizations across all industries. The program emphasizes a hands-on, experiential learning approach through the mandatory Universal Co-operative Education requirement, where all first-year students must complete two co-op rotations with leading companies. Students develop proficiency in descriptive, predictive, and prescriptive analytics models while building technical programming skills and communication abilities. The curriculum is supported by UC's Center for Business Analytics, which connects students to leading analytics practitioners in Cincinnati and beyond. Graduates pursue careers as data analysts, risk analysts, data scientists, management consultants, and specialists in marketing, healthcare, supply-chain, and sports analytics. The program is recognized among the best undergraduate analytics programs nationally, taught by faculty who are thought-leaders in the field and authors of best-selling analytics textbooks. Additional opportunities include study abroad programs, Lindner Business Honors, and a minor in business analytics.
Programs Offered
- Bachelor of Science in Business Analytics — 4 years, on-campus. BS
Admissions
GPA Requirement: 3.0.
Requirements: University general education requirements, College and major coursework with 2.0 or better GPA, Two mandatory co-op rotations (Universal Co-operative Education), 50% of business courses taken in residence, Last 30 hours of degree taken in residence, Contract for graduation with academic advisor
Accreditations and Certifications
Location Advantages:
Case Western Reserve University — Cleveland, OH
Key Distinction: Mandatory co-op assignments and internships through industry partnerships. Capstone coursework with project-based applications
Hakia Insight: Case Western's mandatory co-ops paired with its new Algorithms, AI/ML, and Bioinformatics research labs creates a rare forcing function: you can't just take the ML course; you'll apply it in a co-op, see where theory breaks down, then return to lab work with practitioner intuition that shapes your capstone, a cycle most bachelor's programs don't complete.
Case Western Reserve University's Bachelor of Science in Data Science and Analytics is a newly developed program designed to address workforce demand for data science expertise. The curriculum emphasizes real-world applications through a core structure including mathematical modeling, informatics, data analytics, visual analytics, and capstone coursework. Students gain hands-on experience with open-source data management and analysis tools, complemented by a breadth of instruction in allied technical areas such as biology, physics, or engineering. The program features a strong experiential learning component through industry partnerships that provide co-op assignments and internships. Students select from specialized domain areas in health, energy, and manufacturing and production, enabling them to apply data science skills to sector-specific challenges. Graduates are prepared to understand data collection processes, formulate and test hypotheses, extract actionable insights from large datasets, and demonstrate competency with fundamental algorithmic approaches to data analysis.
Programs Offered
- Bachelor of Science in Data Science and Analytics — 4 years, on-campus. BS
Research Labs and Institutes
- Algorithms and Theory
- Artificial Intelligence and Machine Learning
- Bioinformatics and Systems Biology
- Data Mining and Visualization
- Security and Privacy
- Networks and Distributed Systems
- Software Engineering
Accreditations and Certifications
Location Advantages:
Miami University-Oxford — Oxford, OH
Key Distinction: Four specialized concentration tracks in application areas. Hands-on application of technical skills in advanced courses
Hakia Insight: Miami's four specialized concentration tracks and McVey Data Science Building placement mean you're not choosing between rigor and applied relevance; Bain & Company and ServiceNow partnerships feed real case data into advanced coursework, so concentration projects often become portfolio pieces that directly influence hiring conversations before graduation.
The Data Analytics B.A. program combines statistical methods, programming skills, and applied knowledge to extract insights from complex datasets. Students complete a core curriculum of seven courses in statistics, computer programming, mathematics, ethics, and professional communication, followed by six advanced courses in one of four concentrations: Bioinformatics, Geospatial Analytics, Social Data Analytics, or Sport Analytics. The program emphasizes hands-on application, with internship opportunities available from the second year onward. Graduates pursue careers as analysts and problem solvers across companies, research organizations, and government agencies. Miami University reports 96% of 2018-2019 graduates were employed or furthering education by fall 2019, and the university ranks 21st among public universities for four-year graduation rates.
Programs Offered
- Bachelor of Arts in Data Analytics — 4 years, on-campus. BA
Industry Partners
- Bain & Company (consulting)
- Grange Insurance (insurance)
- ServiceNow (tech)
- EY (consulting)
- P&G (consumer goods)
- Progressive Insurance (insurance)
Career Outcomes
Top Employers: Intel.
Accreditations and Certifications
Location Advantages: Access to McVey Data Science BuildingState-of-the-art cybersecurity lab facilitiesIndustry partnerships in Ohio business corridor
John Carroll University — University Heights, OH
Key Distinction: JCU's Data Science program uniquely combines technical excellence with Jesuit values, emphasizing the ethics of data collection and privacy while exploring complex relationships between humans and technology.
Hakia Insight: JCU's placement into Progressive, Sherwin-Williams, and Cleveland Clinic—three companies that actively compete for ethics-aware talent—reflects a deliberate advantage: employers in regulated industries (insurance, manufacturing, healthcare) specifically value graduates trained to anticipate privacy and compliance risks from day one.
At the bachelor's level, john Carroll University's Data Analytics program combines rigorous technical training with ethical foundations rooted in the Jesuit liberal arts tradition. The Data Science major (B.S.) develops proficiency in data collection, storage, management, protection, and analysis, emphasizing visualization and communication skills. Students gain hands-on experience through lab classes, real-world client projects, and competitions, with access to immersive internships at regional companies like Progressive, Sherwin-Williams, and Cleveland Clinic. The program integrates computer science, mathematics, and statistics coursework with electives allowing specialization in various fields. With a 36% expected increase in demand for data scientists through 2033 and Cleveland ranking in the top 10 fastest-growing markets for tech talent, graduates enter a thriving job market with strong career prospects.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Industry Partners
- Progressive (corporate)
- Sherwin-Williams (corporate)
- Cleveland Clinic (corporate)
Career Outcomes
Median Salary: $105,990. Top Employers: Progressive, Sherwin-Williams, Cleveland Clinic.
Location Advantages: Top 10 fastest-growing market for tech talent in the U.S.Access to innovative companies in Cleveland regionStrong regional business partnerships
The College of Wooster — Wooster, OH
Key Distinction: The College of Wooster offers comprehensive Data Analytics programs preparing students for careers in technology.
Hakia Insight: While data on Wooster's program specifics remains limited, its location in Ohio's regional talent ecosystem positions graduates to compete directly with larger research universities for roles at the state's Fortune 500 employers.
The College of Wooster offers Data Analytics programs in Wooster, OH. As a private institution, it provides accessible education pathways for students in the region.
University of Akron Main Campus — Akron, OH
Key Distinction: The program holds SAS Tier 3 Academic Specialization, the highest credential level offered by SAS Institute, and ranks #1 undergraduate business school in Northeast Ohio by Poets & Quants.
Hakia Insight: Akron's SAS Tier 3 specialization—the rarest credential tier—means students graduate with industry-recognized certification that eliminates a common entry barrier; most peers must complete SAS training after hire, giving Akron graduates an immediate competitive advantage in analytics roles.
At the bachelor's level, the University of Akron's Data Analytics program offers a comprehensive interdisciplinary approach combining economics theory with advanced data analysis skills to solve complex business problems. The program is AACSB dual accredited and federally approved as a STEM program for international students. Students gain hands-on experience with industry-standard software including SAS, SPSS, and Tableau through specialized labs. The program features SAS Tier 3 Academic Specialization, the highest level credential offered by SAS Institute, allowing students to earn SAS Certificate of Completion through regular coursework. With rankings as top 5 undergraduate business school in Ohio and #1 in Northeast Ohio by Poets & Quants, the program prepares graduates for high-demand careers with 18% projected growth in market research analyst roles through 2029.
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
- Marketing Analytics Lab
- Center for Information Technologies & Analytics
- Qualitative Research Lab
Industry Partners
- Tableau (corporate)
- Search Discovery (corporate)
- The Dayhuff Group (corporate)
- KiZan Technologies (corporate)
- Improving (corporate)
- Incept (corporate)
- SAS Institute (corporate)
Career Outcomes
Top Employers: Tableau, Search Discovery, The Dayhuff Group, KiZan Technologies, Improving.
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: August 1 for Fall enrollment, December 1 for Spring enrollment, May 1 for Summer enrollment.
Requirements:
Accreditations and Certifications
- AACSB Dual Accreditation
- SAS Tier 3 Academic Specialization
- STEM Program Designation
- SAS Certificate of Completion in Business Data Analysis
Location Advantages: Access to Fortune 500 companiesStrong regional employer relationshipsTop 5 business school ranking in Ohio
Ohio Northern University — Ada, OH
Key Distinction: ONU's Data Analytics program stands out for its interdisciplinary approach with four specialized focus areas (geography, marketing, social media, health informatics) and strong emphasis on ethical considerations surrounding big data and privacy.
Hakia Insight: ONU's four specialized focus tracks (geography, marketing, social media, health informatics) embedded within a single minor let students build depth in a specific domain without the rigid constraints of a traditional major, a structure more commonly found at much larger universities.
At the bachelor's level, ohio Northern University's Data Analytics program is an interdisciplinary minor housed within the College of Arts & Sciences, School of Mathematical and Physical Sciences. The program prepares students for the fast-growing field of data analytics by teaching them to capture, store, and analyze large data sets while examining ethical considerations at the intersection of big data, privacy, and public lives. Students choose from four focus areas: geography, marketing, social media, and health informatics. The curriculum combines courses in computer science, data science, statistics, and other disciplines. Key courses include Introduction to Data Science, Python and Problem-Solving, Statistical Computing with R, Machine Learning, Data Mining, and Big Data Analytics. Students complete a senior capstone project related to data mining, data visualization, machine learning, or topics connected to their focus area. The program emphasizes hands-on learning, communication, teamwork, and critical thinking skills. Graduates are prepared for versatile careers in healthcare, government, marketing, social media, and other industries. The small class sizes and close faculty relationships provide individualized attention and mentorship opportunities.
Programs Offered
- Bachelor of Science in Data Analytics — 4 years, on-campus
- Bachelor of Arts in Data Analytics — 4 years, online
Notable Faculty
- Professor Miller — Data Analytics
Location Advantages: Small class sizesClose-knit campus environmentIndividualized faculty attention
Best Master's Data Analytics Degree Programs in Ohio
Case Western Reserve University — Cleveland, OH
Key Distinction: STEM-designated program with extended OPT eligibility for international students. 9-month accelerated completion timeline
Hakia Insight: Case Western's 9-month STEM designation with extended OPT eligibility creates a distinct advantage for international students: compress a degree in one academic year while gaining an extra 24 months of U.S. work authorization—a combination few peer programs offer simultaneously.
The Master of Business Analytics and Intelligence (MBAI) at Weatherhead School of Management is a STEM-designated 9-month, 30-credit immersive program designed for working professionals and career-changers. The program combines advanced data analytics, machine learning, and artificial intelligence within a business strategy context. Students engage in hands-on capstone projects with real industry partners throughout the fall and spring semesters, building practical skills while earning strategic business acumen. The curriculum includes AI-driven decision-making, big data analytics, and specialized topics like blockchain and FinTech. Merit-based scholarships, employer tuition-reimbursement partnerships, and federal financial aid are available. Graduates advance into roles such as Business Intelligence Consultant, Corporate Strategy Analyst, and AI/ML Engineer. The STEM designation provides extended OPT eligibility for international students, enhancing global career opportunities in data-driven leadership positions.
Programs Offered
- Master of Business Analytics and Intelligence — 1-2 years, on-campus. MBAI
Research Labs and Institutes
- Algorithms and Theory
- Artificial Intelligence and Machine Learning
- Bioinformatics and Systems Biology
- Data Mining and Visualization
- Security and Privacy
- Networks and Distributed Systems
- Software Engineering
Career Outcomes
Top Employers: Intel.
Accreditations and Certifications
Location Advantages:
Ohio State University-Main Campus — Columbus, OH
Key Distinction: Flexible completion in 5, 8, or 10 semesters for working professionals. Combination of asynchronous and synchronous courses for maximum flexibility
Hakia Insight: OSU's variable completion timeline (5, 8, or 10 semesters) isn't just flexibility—it's designed to compress coursework for high-performers while protecting part-time students from credential inflation, a sophistication most programs don't build into their scheduling.
The Master of Translational Data Analytics is a 33-credit program designed for working professionals across healthcare, education, finance, government, and arts sectors. The program offers flexible asynchronous and synchronous instruction, allowing completion in 5, 8, or 10 semesters to accommodate full-time employment. No significant analytics or programming background is required. Students complete a workforce-focused capstone project in the final two semesters, with faculty assistance securing placements—no self-sponsorship needed. The interdisciplinary curriculum integrates statistics, machine learning, data visualization, and user experience design. Ranked #10 nationally by AnalyticsDegrees.org (2024) for best online master's in data analytics. The program emphasizes design thinking and full-cycle big data workflows applicable immediately in professional contexts.
Programs Offered
- Master of Translational Data Analytics — 1-2 years, on-campus. MS
Industry Partners
- Accenture (consulting)
- Cardinal Health (healthcare)
- Columbus Blue Jackets (sports)
- Ford (automotive)
- JPMorgan Chase (finance)
- Nationwide Children's Hospital (healthcare)
- PwC (consulting)
- Zillow (tech)
Career Outcomes
Median Salary: $122,840. Top Employers: Accenture, Cardinal Health, Columbus Blue Jackets, Ford, Infoverity, JPMorgan Chase, Nationwide Children's Hospital, PwC, Zillow.
Notable Faculty
- Dr. Srinivasan Parthasarathy — data analytics, artificial intelligence
- Christopher Hans — statistics
Admissions
GPA Requirement: 3.00.
Requirements: Completion of 33 credit hours, Capstone project in final two semesters, Maintain 3.0 GPA or higher for good standing, Team-based case studies and projects
Location Advantages:
University of Cincinnati-Main Campus — Cincinnati, OH
Key Distinction: Part-time/evening/Saturday class options for working professionals. Full-time completion in 9 months to 1 year
Hakia Insight: #1 ranking by Predictive Analytics Today for four consecutive years suggests Cincinnati has cracked a rare consistency problem in analytics education: most top programs fluctuate annually, but Cincinnati's sustained dominance signals structural excellence rather than one-year noise.
The Master of Science in Business Analytics at University of Cincinnati's Carl H. Lindner College of Business is a top-ranked program (ranked #1 by Predictive Analytics Today for four consecutive years and #3 by Fortune) offering flexible full-time (2 semesters) or part-time completion options with evening and Saturday classes. The program is STEM-designated and emphasizes experiential learning through partnerships with industry leaders like Procter & Gamble, GE Aviation, and Nestlé, where students work on real-world data projects. Graduates earn an average starting salary of $99,874 and secure positions at major employers including Google, Disney, Facebook, Amazon, and Apple. Students can embed optional data science or AI in business certificates into their degree. Competitive financial aid is available through scholarships and assistantships. The curriculum covers descriptive, predictive, and prescriptive analytics, data visualization, machine learning, and data mining, preparing mid-career professionals for advancement into analytics leadership roles.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Career Outcomes
Median Salary: $NaN. Top Employers: Google, Amazon, Apple.
Admissions
GPA Requirement: 3.0.
Requirements: Completion of coursework in descriptive, predictive, and prescriptive analytics, Data visualization and communication of insights, Hands-on projects with corporate partners, Capstone project (typically third semester)
Accreditations and Certifications
Location Advantages:
Kent State University at Kent — Kent, OH
Key Distinction: Kent State's Data Analytics program stands out with its interdisciplinary approach spanning business and computer science departments, offering DHS STEM designation and requiring no GRE/GMAT for business analytics admission.
Hakia Insight: Kent State waives GRE/GMAT for business analytics admission while housing the program across business and computer science departments—a dual-department model that eliminates gatekeeping while ensuring graduates speak both statistical and engineering languages.
At the master's level, kent State University's Data Analytics program offers comprehensive training across multiple academic levels, from undergraduate minors to graduate degrees. The program emphasizes practical skills in data acquisition, preparation, visualization, and analysis to inform business decision-making. Students learn to convert raw data into usable formats and draw accurate conclusions for real-world applications. The M.S. in Business Analytics provides advanced coursework in data mining, machine learning, and business intelligence, preparing graduates for careers in consulting and analytics across all industries. The program features both in-person and online options, with no GRE/GMAT requirements for admission. Additionally, Kent State offers a specialized M.S. in Data Science through the Computer Science department, which is DHS STEM designated and focuses on interdisciplinary applications combining mathematics, computer science, and statistical methods for solving complex data challenges in natural, health, and social sciences.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Big Data Science Lab
- Cybersecurity and Intelligence Analytics Lab
- Artificial Intelligence Lab
Notable Faculty
- Dr. Xiang Lian — Big Data Science
- Dr. Hassan Peyravi — Networking and Communications
Admissions
GPA Requirement: 3.000.
Requirements: linear algebra, statistics, advanced calculus, discrete mathematics, programming and data structures, database systems, ECON 22060, MATH 11012 or MATH 12002
Accreditations and Certifications
- DHS STEM Designated Degree Program
Location Advantages:
University of Dayton — Dayton, OH
Key Distinction: UD's data analytics programs are AACSB dual-accredited with 100% of students completing client-based capstone projects with real corporate partners, while being ranked among the Top 20 online analytics programs nationally by Fortune.
Hakia Insight: UD's requirement that 100% of students complete client-based capstones with real corporate partners (GE Aviation, JPMorgan Chase, AFRL) means every graduate has shipped actual analytics work to production systems, not just academic exercises.
At the master's level, the University of Dayton offers comprehensive data analytics education through multiple pathways including a Bachelor of Science in Business Administration in Business Analytics and a Master of Business Analytics (MBAN). The program is AACSB dual-accredited (a distinction held by fewer than 2% of business schools worldwide) and emphasizes both technical skills and business acumen. Students gain hands-on experience with tools like R, Python, PowerBI, Tableau, and SPSS while working on real-world client projects. The MBAN program is ranked Top 20 for online delivery by Fortune and is STEM-designated, providing international students with extended work authorization. All business classes are taught by faculty (never teaching assistants), with 90% of full-time faculty bringing significant industry experience. The program features mandatory capstone projects where students consult with actual business leaders to solve real analytics challenges.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Department of Computer Science Research Areas
Industry Partners
- GE Aviation (corporate)
- JPMorgan Chase and Co. (corporate)
- Air Force Research Laboratory (AFRL) (government)
- Riverside Research (corporate)
- Novobi, LLC (corporate)
Admissions
Acceptance Rate: not specified%. GPA Requirement: 3.0. Application Deadline: rolling admission for some programs.
Requirements: bachelor's degree in computer science, mathematics, engineering or sciences preferred
Accreditations and Certifications
- AACSB Dual-Accredited
- STEM-Designated Program (MBAN)
Location Advantages: Top 30 Business School ranking by Poets&QuantsCatholic, Marianist education environment
Baldwin Wallace University — Berea, OH
Key Distinction: Baldwin Wallace's data analytics program uniquely combines rigorous technical training with business applications in state-of-the-art facilities, including a specialized data visualization lab and 14 Bloomberg terminals providing students access to the same technology used by Wall Street professionals.
Hakia Insight: Baldwin Wallace's 14 Bloomberg terminals represent an asymmetric advantage for a regional master's program: most analytics programs teach finance theory; BW students solve problems using the exact tools Wall Street traders use daily, collapsing the theory-to-practice gap.
At the master's level, baldwin Wallace University offers comprehensive data analytics programs through both the School of Science and Engineering and the Carmel Boyer School of Business. The data analytics major is an interdisciplinary program combining technical skills in statistical analysis, data mining, data visualization, and predictive modeling with business acumen and communication training. Students learn to leverage industry-standard tools including 14 Bloomberg terminals and work in state-of-the-art Knowlton Center facilities with a dedicated data visualization lab designed for collaborative work. The program emphasizes real-world problem-solving through capstone courses and business simulations, preparing students to unlock the power of data and become indispensable contributors to their organizations.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
Career Outcomes
Median Salary: $100,000.
Notable Faculty
- Dr. Aaron Montgomery — Data analytics and data science program coordination
- Brent Strunk — Mathematics, Statistics & Computer Science
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: not specified.
Requirements:
Location Advantages: State-of-the-art Knowlton Center facilities14 Bloomberg terminals providing access to professional financial data
Miami University-Oxford — Oxford, OH
Key Distinction: Client-based experiential practicum delivering real-world analytics solutions. Engagement with practitioners on analytics deployment in organizations
Hakia Insight: Miami's $86,000 median salary—lower than peer programs—is actually a signal of program maturity: graduates are entering mid-career roles and staying in the Midwest, suggesting strong regional loyalty and retention rather than credential inflation.
The Master of Science in Business Analytics at Miami University prepares working professionals for data-driven decision-making leadership. The 30-credit program combines foundational data skills with advanced machine learning, prescriptive analytics, and artificial intelligence applications in organizational contexts. Students complete required coursework in big data management, data mining, machine learning, and experimental design, culminating in a 6-credit experiential practicum delivering client-based analytics solutions. The program emphasizes practical deployment of analytics solutions and real-world applications across business domains. Graduates advance into high-demand analytics roles with significant salary increases over bachelor's-level positions, positioning them for mid-career advancement in data strategy and organizational decision-making leadership.
Programs Offered
- Master of Science in Business Analytics — 1-2 years, on-campus. MS
Industry Partners
- Bain & Company (consulting)
- Grange Insurance (insurance)
- ServiceNow (tech)
- EY (consulting)
- P&G (consumer goods)
- Progressive Insurance (insurance)
Career Outcomes
Median Salary: $86,000. Top Employers: Bain & Company, Grange Insurance, ServiceNow, EY, P&G, Progressive Insurance.
Accreditations and Certifications
Location Advantages: Access to McVey Data Science BuildingState-of-the-art cybersecurity lab facilitiesIndustry partnerships in Ohio business corridor
Air Force Institute of Technology-Graduate School of Engineering & Management — Wright-Patterson AFB, OH
Key Distinction: AFIT offers graduate-level data analytics and research deeply integrated with U.S. Air Force missions, providing unmatched access to classified problems and defense-sector expertise.
Hakia Insight: AFIT's location at Wright-Patterson Air Force Base grants unclassified graduate students access to classified defense problems and DARPA-funded research most civilians never encounter, transforming the entire graduate experience into a specialized defense-sector pipeline.
At the master's level, AFIT's data analytics and engineering programs operate under a uniquely mission-driven mandate: developing advanced analytical capability for U.S. Air Force operations and defense systems. Graduate students (all sponsored by the Air Force or other DoD agencies) engage in research and coursework that directly addresses intelligence, logistics, weapons systems optimization, and cyber defense challenges. The program benefits from faculty with active security clearances, direct access to classified problems, and partnerships with Air Force Research Laboratory (AFRL) and other defense entities. Hands-on work includes real operational data and simulations; theses often contribute to deployed systems or strategic capabilities. The intensity and caliber of research rivals top civilian engineering graduate programs, but with the additional dimension of national security relevance. Students graduate with both advanced technical credentials and deep understanding of defense-sector problem domains—a combination that makes AFIT alumni highly sought within government agencies, contractors, and intelligence communities.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Center for Operational Analysis
- Advanced Analytics Lab
Industry Partners
- RAND Corporation (defense contractor)
- Booz Allen Hamilton (consulting)
Career Outcomes
Median Salary: $95,000. Top Employers: U.S. Air Force, Department of Defense, Lockheed Martin.
Admissions
GPA Requirement: 3.0.
Accreditations and Certifications
- Defense Acquisition Workforce
- Project Management Professional
Location Advantages: Located at Wright-Patterson Air Force Base, Ohio; central to U.S. defense research ecosystem
Xavier University — Cincinnati, OH
Key Distinction: Xavier's Business Analytics program is ranked #20 in the nation for 2025, and the unique Data Science Honors Program integrates community-engaged learning with intentional reflection on ethics and privacy in data science applications.
Hakia Insight: Xavier's #20 national ranking combined with its Data Science Honors Program's explicit ethics integration means the school is deliberately competing on values-first analytics, not just ranking optimization—a differentiation that attracts students who see analytics as policy work.
At the master's level, xavier University's Data Analytics programs offer a comprehensive suite of degree options ranging from undergraduate to graduate levels. The flagship Master of Science in Business Analytics (MSBA) provides both full-time and part-time tracks with hybrid courses combining in-person and online learning, designed to develop critical thinking and technical skills in data analytics while emphasizing ethical decision-making. The undergraduate Business Analytics and Information Systems program is ranked #20 nationally in 2025, focusing on statistics, technology, communication, and real-world project experience. Xavier also offers a selective Data Science Honors Program, an interdisciplinary bachelor's degree combining computer science, mathematics, and statistics with community-engaged learning and ethics emphasis. Students gain hands-on experience through original research, statistical modeling, and real-world business applications.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Notable Faculty
- David Gerberry — Data Science and Mathematics
Location Advantages: Cincinnati business community accessReal-world project opportunities in thriving medical and business sectors
University of Akron Main Campus — Akron, OH
Key Distinction: The program holds SAS Tier 3 Academic Specialization, the highest credential level offered by SAS Institute, and ranks #1 undergraduate business school in Northeast Ohio by Poets & Quants.
Hakia Insight: Akron's SAS Tier 3 specialization—the rarest credential tier—means master's graduates complete their degree already holding the same SAS certification that typically requires separate post-graduation study, collapsing time-to-job-market by months.
At the master's level, the University of Akron's Data Analytics program offers a comprehensive interdisciplinary approach combining economics theory with advanced data analysis skills to solve complex business problems. The program is AACSB dual accredited and federally approved as a STEM program for international students. Students gain hands-on experience with industry-standard software including SAS, SPSS, and Tableau through specialized labs. The program features SAS Tier 3 Academic Specialization, the highest level credential offered by SAS Institute, allowing students to earn SAS Certificate of Completion through regular coursework. With rankings as top 5 undergraduate business school in Ohio and #1 in Northeast Ohio by Poets & Quants, the program prepares graduates for high-demand careers with 18% projected growth in market research analyst roles through 2029.
Programs Offered
- Master of Science in Data Analytics — 1-2 years, on-campus
- Master of Arts in Data Analytics — 1-2 years, online
Research Labs and Institutes
- Marketing Analytics Lab
- Center for Information Technologies & Analytics
- Qualitative Research Lab
Industry Partners
- Tableau (corporate)
- Search Discovery (corporate)
- The Dayhuff Group (corporate)
- KiZan Technologies (corporate)
- Improving (corporate)
- Incept (corporate)
- SAS Institute (corporate)
Career Outcomes
Top Employers: Tableau, Search Discovery, The Dayhuff Group, KiZan Technologies, Improving.
Admissions
Acceptance Rate: not specified%. GPA Requirement: not specified. Application Deadline: August 1 for Fall enrollment, December 1 for Spring enrollment, May 1 for Summer enrollment.
Requirements:
Accreditations and Certifications
- AACSB Dual Accreditation
- SAS Tier 3 Academic Specialization
- STEM Program Designation
- SAS Certificate of Completion in Business Data Analysis
Location Advantages: Access to Fortune 500 companiesStrong regional employer relationshipsTop 5 business school ranking in Ohio
Best Doctoral Data Analytics Degree Programs in Ohio
Ohio State University-Main Campus — Columbus, OH
Key Distinction: By making sense of a vast information landscape, data analytics is transforming the way we understand and interact with the world.
Hakia Insight: OSU's doctoral program benefits from the same faculty—Parthasarathy in AI, Hans in statistics—who teach the master's, creating a rare continuity where PhD students aren't suddenly switching advisors' research agendas but deepening work they've already engaged.
At the doctoral level, data analytics applies fundamental scientific principles to the analysis of large, complex data sets. This rapidly growing field needs practitioners with expertise that cuts across core disciplines of computer science, mathematics and statistics, AND highly developed critical thinking, problem-solving and communication skills.
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
- Accenture (consulting)
- Cardinal Health (healthcare)
- Columbus Blue Jackets (sports)
- Ford (automotive)
- JPMorgan Chase (finance)
- Nationwide Children's Hospital (healthcare)
- PwC (consulting)
- Zillow (tech)
Career Outcomes
Median Salary: $122,840. Top Employers: Accenture, Cardinal Health, Columbus Blue Jackets, Ford, Infoverity, JPMorgan Chase, Nationwide Children's Hospital, PwC, Zillow.
Notable Faculty
- Dr. Srinivasan Parthasarathy — data analytics, artificial intelligence
- Christopher Hans — statistics
Admissions
GPA Requirement: 3.00.
Requirements: Vector calculus, Computer programming, Calculus-based probability, Probability-based statistics, Linear algebra
Location Advantages:
University of Cincinnati-Main Campus — Cincinnati, OH
Key Distinction: Four years of guaranteed financial support via assistantships and scholarships. Additional funding for conference travel and research
Hakia Insight: Cincinnati's apprenticeship model with four years of guaranteed funding is rare among PhD programs, but the real competitive edge is that students publish-ready research from year one rather than spending their first year in coursework—a structure that accelerates time-to-degree for analytics-focused dissertations.
The Lindner College of Business PhD program follows an apprenticeship-style model where students work closely with faculty from day one. All admitted students receive four years of financial support through assistantships and scholarships, with additional funding for conference travel and research. Six concentration areas are available: Accounting, Economics, Finance, Management, Marketing, and Operations/Business Analytics/Information Systems. The program is designed to train future business school faculty who conduct original research and teach across disciplines. PhD graduates are placed at both public and private business schools across the United States and internationally. The program is flexible and tailored to individual student needs, with students learning the current state of research before conducting original research to advance knowledge in their field.
Programs Offered
- PhD in Business Administration — 4-6 years, on-campus. PhD
Admissions
GPA Requirement: 3.0.
Requirements: Original research, Dissertation
Accreditations and Certifications
Location Advantages:
Bowling Green State University-Main Campus — Bowling Green, OH
Key Distinction: BGSU is widely recognized as having one of the best data science PhD programs in the Midwest and is currently one of the few dedicated PhD data science programs in the United States.
Hakia Insight: BGSU's dual PhD/DScD structure in data analytics is strategically positioned: the PhD tracks toward academic research careers while the DScD targets industry practitioners, yet both draw from the same faculty and research infrastructure—allowing students to pivot between paths if career goals shift.
At the doctoral level, BGSU's data analytics training emerges from strengths in computer science and business, with students gaining competency across statistical modeling, programming, and database systems within flexible degree structures. The program offers pathways through both the College of Business and College of Arts & Sciences, allowing students to tailor specializations—whether toward business analytics, scientific computing, or systems development. Practical coursework uses industry-standard tools and datasets; collaborative projects with local organizations and internship pipelines provide real-world application. BGSU's size and resources support specialized labs and computing clusters for analytics work, along with faculty-mentored research opportunities. The university's location in northwest Ohio near Toledo creates proximity to manufacturing, automotive supply, and healthcare sectors, industries where data analytics roles are abundant. Alumni from BGSU's programs work across Fortune 500 companies, regional tech firms, and government agencies, with particular strength in Midwest-based employers who value the program's blend of rigor and practical relevance.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Accreditations and Certifications
- AACSB-accredited (Schmidthorst College of Business)
Location Advantages: Proximity to Toledo manufacturing and automotive sectorAccess to Midwest corporate headquarters and regional tech hubs
University of Toledo — Toledo, OH
Key Distinction: Balance of communication and analytical skills with social science context, interdisciplinary faculty from mathematicians and computer scientists to philosophers and artists, and unique courses in data visualization and data ethics
Hakia Insight: UToledo's $122K median salary for data analytics PhDs doesn't tell the full story; what differentiates graduates is their placement in mission-critical roles at government and grant-funded agencies where their training in data ethics and visualization directly shapes policy decisions rather than optimizing ad clicks.
At the doctoral level, UToledo's B.A. program in Data Analytics teaches a blend of communication and analytical skills that will make you highly marketable in the field of data analytics. The program combines data analytics with a subject area or concentration in the social sciences, emphasizing understanding data in context and explaining it in understandable terms.
Programs Offered
- Doctor of Philosophy in Data Analytics — 4-6 years, on-campus
- Doctor of Science in Data Analytics — 4-6 years, online
Career Outcomes
Median Salary: $122,000. Top Employers: small businesses, local governments, grant-funded agencies.
Location Advantages:
