Program Overview

Overview of the Master of Translational Data Analytics Program

The Master of Translational Data Analytics program is designed for working professionals in various fields, including healthcare, education, finance, government, and the arts. This interdisciplinary program focuses on applying statistics, machine learning, and user experience and data visualization tactics to uncover and present insights from data.

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
• Transcripts or other credentials documenting prior academic work
• At least 1 year of professional experience in a field relevant to the degree program

Program Curriculum

The program provides comprehensive insight into data storytelling through a combination of synchronous and asynchronous courses. Some of the key courses include:

• GRADTDA 5141 Interactive Arts Media
• GRADTDA 5150 Emerging Trends in Data Visualization
• GRADTDA 5401 Analytics Foundations I
• GRADTDA 5402 Analytics Foundations II
• GRADTDA 5505 Information Design
• GRADTDA 5620 Practical Learning and Mining for Big Data
• GRADTDA 5621 Big Data Computing Foundations I
• GRADTDA 5622 Big Data Computing Foundations II
• GRADTDA 5625 Seminar in Data Governance
• GRADTDA 5626 Research Design
• GRADTDA 5627 Design Thinking and Data in Practice
• GRADTDA 5911 Capstone I
• GRADTDA 5912 Capstone II

Career Outlook

The Master of Translational Data Analytics program prepares students for various analytical roles across different industries. Some of the top occupations by median income include:

• Market Research Analysts & Marketing Specialists: $76,950
• Management Analysts: $101,190
• Computer Systems Analysts: $103,790
• Operations Research Analysts: $91,290
• Intelligence Analysts: $93,580
• Information Security Analysts: $124,910
• Art Directors: $111,040
• Data Scientists: $112,590

Program Faculty

The program faculty includes world-class instructors from various departments at The Ohio State University, such as:

• Thomas E. Bihari, Associate Professor of Practice, Computer Science and Engineering
• Amber Pasternak, Program Coordinator for Education/Outreach, Instructor for MTDA Orientation Course
• Cathie Smith, TDAI Managing Director

Testimonials

Hear from graduates of the Master in Translational Data Analytics program about their experiences and how the program has helped them in their careers.

Tuition Fee Overview

The estimated cost of the Master of Translational Data Analytics program is based on the expenses typical of an Ohio State Online student. The tuition fees include:

• Instructional Fee: $1,191.25 per credit hour
• General Fee: $32.63 per credit hour
• Distance Learning Fee: $100.00 per semester
• Non-Resident Surcharge (if applicable): $200.00 per semester

Financial Aid Resource

Learn more about how you can afford college with the Financial Aid resource page.