2026 Most Popular Data Science Degree Programs Ranking in Ohio

What can I expect from data science degree in Ohio?

The average cost of obtaining a data science degree in Ohio varies depending on the institution, but students generally invest between $10, 000 and $15, 000 per academic year for in-state tuition. For instance, graduates from Ohio University report manageable tuition fees aligned with state university standards, totaling approximately $40, 000 to $60, 000 for a complete bachelor's degree over four years. Many find this investment justified by hands-on experiences, such as Baldwin Wallace University practicum projects and senior capstones, which reinforce practical skills and enhance employability.

Students appreciate the blend of theoretical coursework and real-world applications offered by Ohio's programs. At Ohio University, the senior capstone courses provide valuable opportunities to create original research or integrated portfolios, making the learning process engaging and relevant. Similarly, early graduate course access at Youngstown State University offers cost-effective acceleration for ambitious undergraduates.

Graduates often express satisfaction with the balance between affordable tuition and quality education, noting positive outcomes in job readiness within Ohio's growing data science job market.

Where can I work with data science degree in Ohio?

Graduates with data science degrees from Ohio institutions such as Ohio State University and Case Western Reserve University find numerous job opportunities across the state's diverse economy. Major urban centers like Columbus, Cleveland, and Cincinnati host nearly 100 data scientist openings on job platforms, reflecting strong demand. These roles typically involve machine learning, statistical analysis, Python or R programming, and cloud computing expertise with AWS or Databricks.

Many graduates secure positions in healthcare systems, financial institutions, or manufacturing companies where their analytical skills improve operational efficiency. For instance, Procter & Gamble in Cincinnati recruits data science interns and full-time analysts, enabling graduates to apply consumer goods data insights. JPMorgan Chase in Columbus also offers analytics programs, giving finance-focused students practical experience.

Internships with companies like First Solar in Perrysburg and Epsilon Systems Solutions in Dayton allow entry-level learners from regional universities to gain hands-on knowledge in renewable energy and defense sectors. Similarly, co-op placements at Cincinnati's J& J Surgery provide exposure to medical data projects, reinforcing the broad applicability of data science careers within Ohio's evolving industries.

How much can I make with data science degree in Ohio?

Graduates with a data science degree in Ohio can expect strong earning potential across several relevant roles. For example, data analysts-common early-career jobs-earn a mean annual wage of $66, 670 or about $32. 05 per hour, providing a solid entry point into the tech industry. Marketing analysts, leveraging analytical skills gained from data science programs at institutions like Ohio State University or Case Western Reserve University, bring home around $83, 190 annually.

More specialized positions, such as data consultants, reflect the value of advanced expertise, with a mean annual salary of $119, 040 and hourly earnings near $57. 23. Similarly, database administrators, critical in managing complex data infrastructures, earn about $104, 810 per year.

Even graduates focusing on visualization roles enjoy competitive compensation, with data visualization specialists earning $64, 700 on average. These figures illustrate the rewarding financial outcomes for Ohio students who invest in data science degrees at local hubs like the University of Cincinnati, where many alumni report not only strong pay but also engaging, high-demand job prospects.

How long does it take to complete data science degree in Ohio?

Completing a data science degree in Ohio generally requires about four years for full-time undergraduate students. Graduates from Miami University, for example, often mention how the structured 27-28 credits focused specifically on data science helped them maintain steady progress toward graduation within this timeline. Similarly, students at The University of Toledo and Cleveland State University report completing their Bachelor of Science in Data Science in eight semesters, totaling 120 to 122 credit hours, which aligns with the typical four-year span.

For those pursuing a Master of Science in Data Science, the commitment usually spans around two years of full-time study. Programs such as those at Bowling Green State University and Kent State University are designed to be completed in four semesters, with about 30 to 36 credit hours, fitting neatly into a two-year schedule. Graduates often express satisfaction with this efficient path, allowing them to advance quickly into their careers.

What's the difference between online and on-campus data science degree?

Online and on-campus data science degrees in Ohio differ primarily in flexibility, cost, and learning environment. Online programs, like Ohio University's graduate certificates in business analytics, let students complete coursework asynchronously, ideal for working professionals balancing jobs or family. Graduates appreciate being able to access lectures anytime, sometimes pairing occasional live sessions with proctored exams, all for a tuition cost around $7, 461 for Ohio residents.

Conversely, on-campus degrees require more structured, in-person attendance. Ohio State University's Master of Science in Biomedical Informatics, for example, demands 45 credits over two or more years with tuition typically ranging from $15, 000 to $25, 000 annually for residents. Students enjoy face-to-face interactions, lab access, and networking events, fostering a hands-on and immersive experience. Many find this traditional approach rewarding due to stronger peer connections and immediate support.

Both formats cover core topics like statistics and programming, but your choice depends on whether flexibility or direct engagement best suits your career goals.

What is the average cost of data science degree in Ohio?

The average cost of a data science degree in Ohio varies notably based on residency and institution type. For in-state students, the median total cost hovers around $59, 550, making public universities in Ohio an attractive option for many looking to manage expenses. Out-of-state students can expect a higher investment, with median total costs reaching approximately $71, 795. These figures reflect tuition, fees, and related educational expenses over the course of the degree.

Graduates from well-known Ohio institutions often share positive accounts of balancing quality education with manageable costs. Many in-state students at universities like Ohio State University emphasize the value of paying lower tuition rates while benefiting from resources such as cutting-edge data labs and experienced faculty. However, out-of-state students pursuing data science at private institutions encounter steeper tuition, which can range higher than public university costs. Nevertheless, these students often highlight smaller class sizes and targeted networking opportunities as a worthwhile trade-off.

When weighing the average cost of data science degree in Ohio, prospective students should also account for living expenses, textbooks, and potentially software licenses. Many find financial aid essential to maintaining affordability throughout their studies. Those interested in accelerated paths may consider exploring options for an associates degree online fast that can complement or expedite their data science education.

In summary, the data science degree tuition fees Ohio reflect a spectrum of choices that cater to diverse budgets. Selecting the right institution and residency status impacts total cost, but Ohio's higher education system offers multiple avenues for aspiring data professionals to invest wisely in their careers.

What financial aid is available to data science degree students in Ohio?

Students pursuing data science degrees in Ohio benefit from multiple financial aid options that substantially ease the cost burden. The Choose Ohio First (COF) Scholarship Program stands out, offering renewable awards up to $4, 000 annually for four years. This state-funded program targets Ohio residents enrolled in STEM fields like data science at universities such as the University of Toledo, Miami University, and Cleveland State University. Many recipients emphasize how maintaining a 3. 0 GPA and participating in internships through COF improved their career readiness while keeping their tuition manageable.

At The Ohio State University, the Veeam Software Endowed Scholarship in Data Analytics has awarded over $575, 000 since 2016, helping 144 students cover costs across eight semesters. Graduates reflect positively on this scholarship's role in reducing financial stress, allowing focus on rigorous coursework and research opportunities.

Other institutions like Youngstown State University and Baldwin Wallace University also provide COF scholarships that apply directly to tuition and fees. These programs consistently demonstrate a commitment to making data science education affordable and accessible for motivated Ohio students.

What are the prerequisites for enrolling in data science degree program in Ohio?

To enroll in a data science degree in Ohio, applicants generally must hold a bachelor's degree with a minimum GPA of 3. 0, a standard requirement at institutions like Kent State University and Wright State University. This academic threshold ensures readiness for rigorous coursework and aligns with state-wide admission standards.

Foundational knowledge in mathematics and programming is essential. Graduates from Wright State recall that completing two semesters of calculus-based math, a semester of programming, statistics, and applied linear algebra helped them confidently tackle advanced topics. Similarly, the University of Cincinnati's Data Science Graduate Certificate expects prior coursework in database design, statistics, and programming, reinforcing the importance of a strong technical base.

Beyond coursework, application materials typically include official transcripts, two recommendation letters for master's programs, a resume, and a personal essay. International students appreciate clear guidance on TOEFL or English proficiency requirements, making the process transparent and manageable.

What courses are typically in data science degree programs in Ohio?

Typical data science degree programs in Ohio include a rigorous blend of programming, mathematics, and domain-specific courses essential for a competitive edge in analytics careers. Graduates from notable institutions like Ohio State University report mastering object-oriented programming and data structures early, enabling them to tackle complex coding challenges effectively.

Mathematics is integral, with calculus, linear algebra, and discrete mathematics forming the quantitative backbone. Students at Case Western Reserve University appreciate how probability theory and statistical inference courses deepen their understanding of data modeling, empowering practical problem-solving in real-world projects.

Specialized data courses such as database systems and data visualization are also mandatory. Many find capstone projects especially rewarding, collaborating with local businesses or healthcare centers to apply theoretical skills to impactful, tangible outcomes.

Interdisciplinary coursework enhances versatility; students at Miami University, for example, engage in marketing and epidemiology classes, which broaden applications of machine learning and advanced analytics. This mixture not only builds technical prowess but also fuels enthusiasm through diverse, real-world experiences.

What types of specializations are available in data science degree programs in Ohio?

Data science degree specializations Ohio universities offer include focused tracks such as Machine Learning and Artificial Intelligence, Big Data Analytics, Business Analytics, Data Engineering, and Health Informatics. At institutions like Ohio State University and Case Western Reserve University, graduates often highlight how these concentrations prepare them with practical skills, from building intelligent systems to managing complex data pipelines, directly aligned with Ohio's industrial sectors. For example, learners specializing in Big Data Analytics gain proficiency in tools like Hadoop and Spark, enabling them to tackle data at scale, which is crucial in Ohio's manufacturing and healthcare industries.

Many students appreciate how these Ohio data science program concentration options blend theoretical knowledge with hands-on projects, enhancing employability amid a projected 15% growth in data roles statewide. Engaging with real-world datasets in healthcare or finance cultivates confidence and relevance in training. For those considering starting with foundational education, exploring the easiest associate's degree programs can be a strategic pathway before committing to specialized degrees.

How do you choose the best data science degree in Ohio?

Choosing the best data science degree programs Ohio involves evaluating accreditation, curriculum, and career outcomes. Regional accreditation, such as from the Higher Learning Commission, guarantees a program's credibility and enables access to federal aid. Graduates from programs at Ohio State University and University of Cincinnati report satisfaction with faculty expertise and hands-on projects involving machine learning and data visualization, which align well with employer needs.

Affordability also plays a crucial role; affordable data science colleges in Ohio typically charge between $11, 000 and $13, 000 annually for in-state public institutions, making them competitive against national tuition rates. Scholarships and state grants further ease the financial load for many students. Many find that flexible formats, like part-time or online options, help balance studies with work commitments.

A practical focus on data-driven skills enhances job prospects in Ohio's growing tech and healthcare sectors. Prospective students should research program outcomes carefully because these impact earning potential, which ties closely to what masters degree makes the most money in data science fields.

What career paths are available for data science degree students in Ohio?

Data science careers in Ohio offer graduates a variety of pathways driven by the state's diverse industries. Graduates from universities in Columbus and Cleveland report entering roles as data scientists or analysts where they interpret complex datasets to influence strategic decisions. These positions often exist within healthcare giants like Cleveland Clinic, highlighting real-world experiences where optimizing patient outcomes relies heavily on data expertise.

Ohio data science job opportunities extend to financial institutions that use data science for fraud detection, risk management, and customer insights. Manufacturing sectors around Cincinnati engage data scientists to improve supply chains and product quality through predictive analytics. Business intelligence analyst roles further allow graduates to translate data into actionable business strategies, enhancing company performance.

Students at popular Ohio colleges appreciate the blend of hands-on learning and market-ready skills, which align with mid-career salaries competitive for the region. Prospective students should consider cost-effective degree options, including exploring top-ranked accredited online schools no fee to apply, to maximize return on investment in this growing field.

What is the job market for data science degree in Ohio?

The job market for data science degree holders in Ohio is robust, driven by the state's diverse economy that includes healthcare, finance, manufacturing, and technology sectors. Graduates from popular institutions like Ohio State University and Case Western Reserve University often find themselves quickly absorbed into roles within Columbus, Cleveland, and Cincinnati. These urban centers offer dynamic environments where data science skills are applied to real-world challenges such as predictive healthcare analytics or financial risk modeling.

Many graduates report positive experiences entering the labor market, fueled by a mean annual wage range between $80, 000 and $110, 000, aligning well with national trends. This favorable Ohio data science career outlook allows emerging professionals to justify the investment in in-state tuition costs, typically ranging from $10, 000 to $25, 000 annually for undergraduate and graduate studies.

Students looking to explore alternative career pathways with solid earning potential might also consider the best skilled trade jobs. The continued demand for data science job opportunities in Ohio, combined with competitive salaries and diverse industry presence, makes it an encouraging landscape for degree seekers focused on long-term growth.