Program Overview

Introduction to the Master of Translational Data Analytics Program

The Master of Translational Data Analytics from Ohio State's Translational Data Analytics Institute is a fully online program designed for working professionals. This interdisciplinary program aims to equip students with the skills to apply statistics, machine learning, and user experience and data visualization tactics to uncover and present insights from data.

Program Overview

The program is tailored for individuals from diverse fields such as healthcare, education, finance, government, and the arts. It stands out in the data science landscape by not requiring a significant background in analytics and programming. Courses are offered in asynchronous, synchronous, or hybrid formats, allowing flexibility for working professionals.

Curriculum and Course Structure

The curriculum covers core concepts including:

• The core concepts of statistical analysis
• The foundations of big data computing, data mining, and machine learning
• Information design, the foundations of data visualization, and emerging trends in data storytelling
• How to assemble and present compelling user experiences and user interfaces
• Three skills-focused seminars in data governance, research methods, and design thinking
• Application of learning in real-world capstones

Program Duration and Structure

Beginning Fall 2021, students can choose between two cohort pathways: a 5-semester option or a 10-semester option. Each cohort is carefully curated to emphasize students' varied backgrounds and disciplines, enriching team-based case studies and projects. The 33-credit program culminates in a workforce-focused capstone project, where students work in diverse teams over the final two semesters.

Learning Environment and Faculty

Subject matter experts from the departments of Computer Science and Engineering, Statistics, Design, and the Advanced Computing Center for the Arts and Design engage students in practical and experiential learning projects. The program adopts a design thinking lens, enabling students to apply new research methods and in-demand data analysis skills with a focus on developing full-cycle workflows for big data.

Conclusion

The Master of Translational Data Analytics program at Ohio State University offers a unique opportunity for working professionals to become experts in data storytelling and analysis. With its flexible course structure, interdisciplinary approach, and focus on practical application, the program is well-suited for individuals looking to enhance their skills in data science and analytics.