Master of Translational Data Analytics
June 1, 2026
August 25, 2026
Overview
Become an expert in data storytelling with the Master of Translational Data Analytics from Ohio State’s Translational Data Analytics Institute. This truly interdisciplinary program is designed for working professionals in fields as diverse as health care, education, finance, government, and the arts who want to apply statistics, machine learning, and user experience and data visualization tactics to uncover and present insights from data.
Subject matter experts from the departments of Computer Science and Engineering, Statistics, Design, and the Advanced Computing Center for the Arts and Design engage with you in practical and experiential learning projects. Through a design thinking lens, you can immediately apply new research methods and in-demand data analysis skills with a focus on developing full-cycle workflows for big data.
Unique in the growing data science landscape, no significant background in analytics and programming is required. In this program, you will have the flexibility of both asynchronous and synchronous courses designed for working professionals. Each cohort is carefully curated, placing an emphasis on students’ varied backgrounds and disciplines to enrich team-based case studies and projects. You will spend the final two semesters of the 33-credit program working on diverse teams to complete a workforce-focused capstone project.
Nationally ranked by AnalyticsDegrees.org
The online Master of Translational Data Analytics was ranked #10 in the country for Best Online Master’s in Data Analytics Programs in 2024 by AnalyticsDegrees.org.
Ranked #10 in Best Online Master’s in Data Analytics Programs (2024)
Frequently Asked Questions
The Master of Translational Data Analytics utilizes a combination of synchronous and asynchronous instruction for maximum flexibility for working professionals.
Faculty/staff administrators help students find placements/projects. They will not need to secure a sponsor on their own.
We use a holistic admission process that does not include standardized tests. The GMAT/GRE are not required.
Once you submit your contact information, a dedicated Enrollment Advisor will connect with you shortly to provide more details about this online program, provide one-on-one guidance, and answer any questions you may have as you navigate the application process.
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Why the Master of Translational Data Analytics is right for you.
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What’s the Difference Between Asynchronous and Synchronous Learning?
Academic Calendar
Ohio State’s Master of Translational Data Analytics program admits students once-per-year for the Autumn semester. Utilizing a blend of synchronous and asynchronous instruction, this program can be completed in 5, 8, or 10 semesters.
Academic Calendar
Ohio State’s Master of Translational Data Analytics program admits students once-per-year for the Autumn semester. Utilizing a blend of synchronous and asynchronous instruction, this program can be completed in 5, 8, or 10 semesters.
Admission Criteria
Admission into the Master of Translational Data Analytics program is based on the following requirements:
- An earned bachelor’s degree or higher in any subject.
- A 3.0 cumulative GPA from all courses from all course attempts
- At least 1 year of professional experience in a field relevant to the degree program
- Professional experience refers to experience gained through employment. We are looking for committed individuals who can demonstrate problem-solving capabilities, those that take initiative, and those that can demonstrate a strong work ethic in a professional environment.
The Ohio State University participates in the State Authorization Reciprocity Agreements (SARA).
SARA is a national initiative that increases student access to distance education courses and programs while maintaining compliance with state regulations. Institutions participating in SARA can offer educational opportunities in all 49 SARA member states, the District of Columbia, the U.S. Virgin Islands and Puerto Rico without seeking individual approval in each state.
California is not a SARA member state, however, OSU may offer online courses and programs to students located in California under the California Private Post-Secondary Act of 2009.
The Application Process
Once you understand your program’s admission criteria, please note the application deadline. You’ll need a quiet space and a variety of materials for your application. To learn more, please see our Admissions page for the full process. Ready to Apply? Find your application here.
Career Outlook
The Master of Translational Data Analytics program prepares you for the world of data story-telling. With your degree, you’ll be eligible for analytical roles across various industries including health care, education, finance, government, and the arts.
Top Occupations by Median Income
What They Do
Research conditions in local, regional, national, or online markets. Gather information to determine potential sales of a product or service, or plan a marketing or advertising campaign. May gather information on competitors, prices, sales, and methods of marketing and distribution. May employ search marketing tactics, analyze web metrics, and develop recommendations to increase search engine ranking and visibility to target markets.
Work Activities
Prepare reports of findings, illustrating data graphically and translating complex findings into written text. Collect and analyze data on customer demographics, preferences, needs, and buying habits to identify potential markets and factors affecting product demand. Conduct research on consumer opinions and marketing strategies, collaborating with marketing professionals, statisticians, pollsters, and other professionals.
Wage Range
- Entry Level: $42,070
- Mid Level: $76,950
- Senior Level: $144,610
Job Outlook
Bright
Related Careers
- Advertising and Promotions Managers
- Business Intelligence Analysts
- Management Analysts
- Marketing Managers
- Search Marketing Strategists
Job Sectors
- English Language
- Customer and Personal Service
- Sales and Marketing
- Mathematics
- Administration and Management
What They Do
Conduct organizational studies and evaluations, design systems and procedures, conduct work simplification and measurement studies, and prepare operations and procedures manuals to assist management in operating more efficiently and effectively. Includes program analysts and management consultants.
Work Activities
Gather and organize information on problems or procedures. Confer with personnel concerned to ensure successful functioning of newly implemented systems or procedures. Analyze data gathered and develop solutions or alternative methods of proceeding.
Wage Range
- Entry Level: $59,720
- Mid Level: $101,190
- Senior Level: $174,140
Job Outlook
Bright
Related Careers
- Business Intelligence Analysts
- Data Scientists
- Information Technology Project Managers
- Project Management Specialists
- Training and Development Managers
Job Sectors
- English Language
- Administration and Management
- Customer and Personal Service
- Mathematics
- Education and Training
What They Do
Analyze science, engineering, business, and other data processing problems to develop and implement solutions to complex applications problems, system administration issues, or network concerns. Perform systems management and integration functions, improve existing computer systems, and review computer system capabilities, workflow, and schedule limitations. May analyze or recommend commercially available software.
Work Activities
Troubleshoot program and system malfunctions to restore normal functioning. Provide staff and users with assistance solving computer-related problems, such as malfunctions and program problems. Test, maintain, and monitor computer programs and systems, including coordinating the installation of computer programs and systems.
Wage Range
- Entry Level: $63,160
- Mid Level: $103,790
- Senior Level: $166,030
Job Outlook
Bright
Related Careers
- Computer Systems Engineers/Architects
- Database Administrators
- Database Architects
- Information Security Engineers
- Software Developers
Job Sectors
- Computers and Electronics
- Customer and Personal Service
- English Language
- Mathematics
- Administration and Management
What They Do
Formulate and apply mathematical modeling and other optimizing methods to develop and interpret information that assists management with decisionmaking, policy formulation, or other managerial functions. May collect and analyze data and develop decision support software, services, or products. May develop and supply optimal time, cost, or logistics networks for program evaluation, review, or implementation.
Work Activities
Present the results of mathematical modeling and data analysis to management or other end users. Define data requirements, and gather and validate information, applying judgment and statistical tests. Perform validation and testing of models to ensure adequacy, and reformulate models, as necessary.
Wage Range
- Entry Level: $53,910
- Mid Level: $91,290
- Senior Level: $159,280
Job Outlook
Bright
Related Careers
- Business Intelligence Analysts
- Computer Systems Analysts
- Data Scientists
- Management Analysts
- Software Developers
Job Sectors
- Mathematics
- Computers and Electronics
- Engineering and Technology
- Production and Processing
- English Language
What They Do
Gather, analyze, or evaluate information from a variety of sources, such as law enforcement databases, surveillance, intelligence networks or geographic information systems. Use intelligence data to anticipate and prevent organized crime activities, such as terrorism.
Work Activities
Validate known intelligence with data from other sources. Gather, analyze, correlate, or evaluate information from a variety of resources, such as law enforcement databases. Evaluate records of communications, such as telephone calls, to plot activity and determine the size and location of criminal groups and members.
Wage Range
- Entry Level: $54,160
- Mid Level: $93,580
- Senior Level: $159,410
Job Outlook
Below Average
Related Careers
- Detectives and Criminal Investigators
- Information Security Analysts
- Information Security Engineers
- Penetration Testers
- Private Detectives and Investigators
Job Sectors
- English Language
- Law and Government
- Public Safety and Security
- Administrative
- Computers and Electronics
What They Do
Plan, implement, upgrade, or monitor security measures for the protection of computer networks and information. Assess system vulnerabilities for security risks and propose and implement risk mitigation strategies. May ensure appropriate security controls are in place that will safeguard digital files and vital electronic infrastructure. May respond to computer security breaches and viruses.
Work Activities
Develop plans to safeguard computer files against accidental or unauthorized modification, destruction, or disclosure and to meet emergency data processing needs. Monitor current reports of computer viruses to determine when to update virus protection systems. Encrypt data transmissions and erect firewalls to conceal confidential information as it is being transmitted and to keep out tainted digital transfers.
Wage Range
- Entry Level: $69,660
- Mid Level: $124,910
- Senior Level: $186,420
Job Outlook
Bright
Related Careers
- Computer Systems Analysts
- Digital Forensics Analysts
- Information Security Engineers
- Network and Computer Systems Administrators
- Penetration Testers
Job Sectors
- Computers and Electronics
- English Language
- Administration and Management
- Engineering and Technology
- Telecommunications
What They Do
Formulate design concepts and presentation approaches for visual productions and media, such as print, broadcasting, video, and film. Direct workers engaged in artwork or layout design.
Work Activities
Work with creative directors to develop design solutions. Present final layouts to clients for approval. Manage own accounts and projects, working within budget and scheduling requirements.
Wage Range
- Entry Level: $61,060
- Mid Level: $111,040
- Senior Level: $211,410
Job Outlook
Average
Related Careers
- Graphic Designers
- Producers and Directors
- Project Management Specialists
- Special Effects Artists and Animators
- Writers and Authors
Job Sectors
- Design
- Computers and Electronics
- English Language
- Fine Arts
- Communications and Media
What They Do
Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets. Visualize, interpret, and report data findings. May create dynamic data reports.
Work Activities
Analyze, manipulate, or process large sets of data using statistical software. Apply feature selection algorithms to models predicting outcomes of interest, such as sales, attrition, and healthcare use. Apply sampling techniques to determine groups to be surveyed or use complete enumeration methods.
Wage Range
- Entry Level: $63,650
- Mid Level: $112,590
- Senior Level: $194,410
Job Outlook
Bright
Related Careers
- Bioinformatics Technicians
- Financial Quantitative Analysts
- Operations Research Analysts
- Statistical Assistants
- Statisticians
National occupational information in Ohio State Online’s Career Outlook tool is sourced from O*NET Online and the U.S. Bureau of Labor Statistics (BLS). The median annual wage displayed to the right of each occupational title above is based on the BLS Employment Projections program. Outlook and percent change indicate projected growth or decline over the next 10 years.
Curriculum
With an interdisciplinary curriculum designed to immerse you in the various aspects of data analytics, the Master of Translational Data Analytics program provides comprehensive insight into data story-telling through a combination of synchronous and asynchronous courses.
Practice in methods to design and craft user experiences and user interfaces for applications that provide cohesive, satisfying experiences for users. Contemporary methods and software to produce application prototypes. Cohort identification and user testing and research.
This course enables students to explore new and emerging visualization approaches, topics and trends in visualization research and their applications. Students will research, write about, create, and experience visualization trends.
This class is all about extracting useful information from data, using data to address work challenges, engaging in data-driven decision making under uncertainty, and identifying, sourcing, manipulating, and interpreting data. Software and skills taught in this class include using R programming and analysis using R.
Part II of a two-semester sequence. This class layers in more advanced R programming and analysis using R. It teaches distribution theory via simulation, statistical modeling such as A/B testing, ANOVA, multiple linear regressions, logistic regression and multivariate analysis, while also emphasizing the communication of results.
This course explores the relationship between visual design and the field of information visualization. It presents design strategies of how information can be structured and visualized to create effective communications and to stimulate viewer attention and engagement.
Building on computational and interpretative skills in data analytics and computing foundations, students will explore practical ways to create data mining and machine learning workflows. Students will learn to mine associations and patterns, to classify, and build predictive models and recommendation systems for data and questions in the context of enterprises.
This class teaches students how to construct schemas that locate, scrape, process, and clean data to develop practical workflows which extract useful information and create usable representations. Focuses on the use of Python and Javascript, as well as tools such as Hadoop and Scala.
Working professionals must be able to locate and scrape data sources, create workflows that ingest and clean data, extract useful information for exploration and visualization and use that information to address work-related challenges. Enrollees gain proficiency in identifying, sourcing, manipulating, and interpreting data. Second course in a two-semester sequence focusing on Python and Spark.
Trust in data assets is essential. This skills-based seminar focuses on practical elements of good data governance, privacy and data security through the use of case studies.
The second skills-based seminar gives a general overview of research methods which are common across disciplines. Topics include formulating research questions to conducting specific analytical methodologies and writing up/presenting results.
Design thinking is a non-linear, iterative process to understand users, challenge assumptions, redefine problems and create innovative solutions. This course will explore the design thinking process as it relates to research methods, data collection and analysis. We will learn from professionals who utilize design thinking paired with a creative mindset to gather and apply data to solve big problems.
Experiential training for students in data analysis with design thinking on non-trivial data. Students formulate data questions and create complete workflows. Emphasis on teamwork, translational competency and professional competency in data rich environments by deploying and using computing technology, data analysis methods and creation of user interfaces.
Part II of two semester sequence. Culminating experience through direct engagement with community partners who will formulate challenge questions and provide data. Emphasis on teamwork, translational competency with added emphasis on processing of large data and interpretation of domain specific results. Illustrates data storytelling through deployment of scalable computing technology, data analysis and user interfaces.
Understanding Online Course Types
As you research the right online program for you, you likely will come across the terms “asynchronous” and “synchronous.” Learn what these terms mean and how they’re important to consider when understanding how a program will fit into your life.
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Program Faculty
Through the Translational Data Analytics Institute, the Master of Translational Data Analytics allows you to learn from world-class faculty across various departments at The Ohio State University providing extensive insight into data analytics and story-telling.
Thomas E. Bihari
Associate Professor of Practice, Computer Science and Engineering
Dr. Thomas Bihari is an Associate Professor of Practice in the Department of Computer Science and Engineering, and a member of the Translational Data Analytics Institute. Tom joined the faculty full-time in 2019, after more than 25 years in industry. Tom has extensive experience in leading large, multi-disciplinary teams of technologists and business experts engaged in developing (>$100MM) large-scale IT solutions, and working with entrepreneurs on technology startups. Tom holds Lean Six Sigma Black Belt, PMI Project Management Professional, Certified ScrumMaster, Stanford Certified Project Manager, and Certified SAFe® Agilist credentials.
Amber Pasternak
Program Coordinator for Education/Outreach, Instructor for MTDA Orientation Course
Cathie Smith
TDAI Managing Director
Testimonials
Hear from Larkin Iversen, a Master in Translational Data Analytics graduate, about why this program is right for you.
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"It has given me the tools and the skills and the confidence to do the things that I want to do."
Larkin Iversen Master of Translational Data Analytics Grad -
"Arts managers run essential organizations with limited resources. Becoming a master data storyteller will make me an effective arts leader."
Clara Davison Master of Translational Data Analytics Grad
Tuition Fee Overview
Investing in your future with a higher education degree is one of the best investments you can make for your future success. At Ohio State, we know understanding your program’s cost is an important part of your decision-making process. Below are the tuition fees you can expect with your program. Estimates are based on the expenses typical of an Ohio State Online student, who would take 6 credit hours each semester as a part-time student. Actual costs may vary.
| Tuition and Fees | Per Credit Hour (Unless Otherwise Noted) | Part-Time – Estimated Cost Per Semester |
|---|---|---|
| Instructional Fee | $1,191.25 | $7,147.50 |
| General Fee | $32.63 | $195.78 |
| Distance Learning Fee | $100.00 (per semester) | $100.00 (per semester) |
| Non-Resident Surcharge (if applicable) | $200.00 (per semester) | $200.00 (per semester) |
Tuition fees are subject to change. The table above serves as a guide and not an official bursar’s bill.
Financial Aid Resource
Financial Aid Resource
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