Master of Translational Data Analytics (Online) at The Ohio State University

Programme overview

The fully online Master of Translational Data Analytics is an interdisciplinary 33-credit-hour programme from Ohio State's Translational Data Analytics Institute for working professionals in fields such as health care, education, finance, government and the arts. It teaches statistics, machine learning, data visualisation and user-experience design, and no significant analytics or programming background is required.

Department: Translational Data Analytics Institute | Duration: 33 credit hours; 5-semester or 10-semester pathway chosen at application | Intake: Autumn | Study mode: online | Location: Columbus, OH, United States

What you will study

Core statistical analysis, big data computing, data mining and machine learning, information design and data storytelling, user experience and interface design, and seminars in data governance, research methods and design thinking. The final two semesters are a team-based, workforce-focused capstone project.

Official programme page

Application information

Entry requirements

Bachelor's degree or higher in any subject; at least 1 year of professional experience in a field relevant to the degree; 3.0 cumulative undergraduate GPA across all courses and attempts. GRE/GMAT not required. International applicants: TOEFL iBT 4.0 or higher (equivalent to 79 on the pre-January 2026 scale), or Duolingo 120 (IELTS minimum not itemised on the page; Graduate School minimums apply). Autumn 2027 application deadline: June 1, 2027 for domestic and international applicants.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Intake: Autumn

Duration: 33 credit hours; 5-semester or 10-semester pathway chosen at application

Apply through the official page: https://gpadmissions.osu.edu/

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