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Online Master of Translational Data Analytics 

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Online Master of Translational Data Analytics
 at 
The Ohio State University 
Overview

To provide students with a comprehensive understanding of the principles and practices of translational data analytics

Duration

1.5 - 2 years

Total fee

22,463

Mode of learning

Online

Official Website

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Course Level

PG Degree

Online Master of Translational Data Analytics
 at 
The Ohio State University 
Highlights

  • This Course is offered by Ohio State University
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Online Master of Translational Data Analytics
 at 
The Ohio State University 
Course details

Who should do this course?
  • Individuals with a bachelor's degree in statistics, computer science, mathematics, or a related field
What are the course deliverables?
  • Identify and formulate research questions that can be addressed using data analytics
  • Collect, clean, and prepare data for analysis
  • Apply appropriate statistical and machine learning techniques to analyze data
  • Interpret and communicate data analysis results effectively
  • Develop and implement data-driven solutions to real-world problems
  • Ethical considerations and regulatory guidelines for working with data
More about this course
  • The Master of Translational Data Analytics (MTDA) is an advanced professional program designed to equip individuals with the knowledge, skills, and expertise required to effectively collect, analyze, and translate complex data into actionable insights for decision-making
  • This truly interdisciplinary program 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
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Online Master of Translational Data Analytics
 at 
The Ohio State University 
Faculty details

Thomas E. Bihari
Dr. Thomas Bihari is an Associate Professor of Practice in the Department of Computer Science and Engineering, and a member of the Translational Data Analytics Institute. Tom joined the faculty full-time in 2019, after more than 25 years in industry. Tom has extensive experience in leading large, multi-disciplinary teams of technologists and business experts engaged in developing (>$100MM) large-scale IT solutions, and working with entrepreneurs on technology startups. Tom holds Lean Six Sigma Black Belt, PMI Project Management Professional, Certified ScrumMaster, Stanford Certified Project Manager, and Certified SAFe® Agilist credentials.
Laura Kubatko
Laura Kubatko joined the statistics faculty in 2006, and holds a joint appointment in the Department of Evolution, Ecology, and Organismal Biology at Ohio State. Her other appointments include Adjunct Research Scientist at Lovelace Respiratory Research Institute in Albuquerque, New Mexico, Faculty Affiliate of the Initiative in Population Research at Ohio State, Faculty Affiliate of the Battelle Center for Mathematical Medicine at Nationwide Children's Hospital, and Faculty Affiliate for Translational Data Analytics at Ohio State. She has served as an Associate Editor for Systematic Biology since 2007, as an Associate Editor for Evolution from 2008 - 2010, and as Section Editor for BMC Evolutionary Biology since September 2016. Her work is supported by several grants from the National Science Foundation.
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Online Master of Translational Data Analytics
 at 
The Ohio State University 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • No specific cutoff mentioned
GraduationUp Arrow Icon
  • No specific cutoff mentioned
TOEFLUp Arrow Icon
  • Marks - 79/120
Conditional OfferUp Arrow Icon
  • Not mentioned

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Online Master of Translational Data Analytics
 at 
The Ohio State University 
Contact Information

Address

281 W. Lane Ave. | Columbus, Ohio 43210
Columbus ( Ohio)

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