Overview
Features
This truly interdisciplinary Translational Data Analytics program at The Ohio State University 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 students in practical and experiential learning projects. Through a design thinking lens, students can immediately apply new research methods and in-demand data analysis skills with a focus on developing full-cycle workflows for big data.
Programme Structure
Courses include:
- Data Analytics
- Big Data Computing
- Data Governance
- Research Design
- Practical Learning and Mining for Big Data
- Information Design
- Interactive Arts Media
- Emerging Trends in Data Visualization
Key information
Duration
- Part-time
- 21 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Credits
Delivered
Campus Location
- Columbus, United States
Disciplines
Translation & Interpreting Data Analytics View 12 other Masters in Translation & Interpreting in United StatesWhat students do after studying
Academic requirements
English requirements
IELTS & PTE Test Preparation
Admission to your dream university starts with a high IELTS or PTE score. Earn your target score with E2's guided test preparation.
- Study on your own schedule
- Live classes with current and ex-examiners
- Accurate score assesment, always
- E2 Score Guarantee - Get your score or your money back!
Other requirements
General requirements
Applicants to the program must meet the following minimum criteria to be considered for admission:
- An earned bachelor’s degree or higher in any subject,
- At least 1 year of professional experience in a field relevant to the degree program,
- A 3.0 cumulative undergraduate GPA from all courses from all course attempts,
- Submit ANY ONE of the following graduate level standardized tests: GRE, GMAT, PCAT, MCAT, OAT or LSAT.
Tuition Fees
-
International Applies to you
Applies to youNon-residents12910 USD / year≈ 12910 USD / year - Out-of-State12910 USD / year≈ 12910 USD / year
-
Domestic
Applies to youIn-State12910 USD / year≈ 12910 USD / year
Funding
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Translational Data Analytics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility
Read more about eligibility