Why the Master of Translational Data Analytics is right for you.

Ohio State’s Master of Translational Data Analytics (MTDA) is a fully online master’s degree designed for working professionals who are looking to become experts in the world of data analysis and storytelling.

Offered through Ohio State’s Translational Data Analytics Institute, the online MTDA program was voted among the top 10 best Online Master’s in Data Analytics program in 2024 by AnalyticsDegrees.org, and equips students of various backgrounds with the skills needed to effectively communicate data stories into an understandable and accessible format. So why is a Master of Translational Data Analytics right for you?

1. An interdisciplinary program with design thinking built in.

Using an interdisciplinary approach, the MTDA program takes advantage of the deep expertise of instructors across Ohio State departments like Design, Statistics, Computer Science and Engineering, and the Advanced Computing Center for the Arts and Design. Through the program, students are equipped to utilize a design thinking lens to apply data analysis skills and research methods immediately. 

The interdisciplinary nature of the program brings professionals together from a broad range of industries, including government, finance, healthcare, and the arts, to bring their unique backgrounds to data science. This program will teach students to develop full cycle workflows that incorporate statistics, machine learning, and data visualization.  

2. Various pathways are offered to accommodate your schedule.

The MTDA program is designed with the working professional in mind. With three pathways to complete the program, students can work at a pace that is right for them. Choose from a 5-semester pathway which can be completed in 21 months, an 8-semester pathway which can be completed in 33 months, or a 10-semester pathway which can be completed in 45 months.   

Each pathway adjusts the number of credit hours you will take per semester, which will increase or decrease your overall time commitment. Students enrolled in the 5-semester pathway should expect a weekly time commitment of 18-21 hours per week, while students enrolled in the 10-semester pathway should expect a time commitment of 9-12 hours per week. 

3. Synchronous and asynchronous instruction methods featuring real-world application.

The MTDA program features a blend of synchronous and asynchronous classes which allows students to complete classes on their own schedule while providing collaborative interactions with their instructors and peers.   

As part of the program, students participate in a two-semester capstone to apply their learnings to real-world data questions. Engage directly with community partners to create complete workflows while processing data and interpreting results. MTDA program faculty and staff will help facilitate the placement for this capstone, eliminating the need for you to source this opportunity. 

4. No significant programming or statistics experience is required.

Whether you’re looking to transition into an analytics role or improve your current analytics skillset, this degree can help you achieve your goals. Unlike similar Master of Data Science and Data Analytics programs, no significant experience in programming or statistics is required, allowing students from various backgrounds to learn the ins and outs of design-thinking from Ohio State’s team of subject matter experts. Prospective students should have at least one year of professional experience gained through employment in a relevant field. This program is designed for students who can display problem-solving, take initiative, and bring a strong work ethic in their professional environment.

Want to learn more about the Master of Translational Data Analytics program? Contact us or visit our website for more information.