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International Masters Program
MS in Business Analytics
First Year in VIT-Bangalore + Second Year in University of Michigan-Dearborn, USA
Duration: 1 + 1
The Master of Science-Business Analytics teaches you how to use a variety of statistical methods and technologies and then apply those insights to real-world problems.
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First Year in VIT-Bangalore + Second Year in University of Michigan-Dearborn, USA
Duration: 1 + 1
Data science is an interdisciplinary field that uses techniques and theories from mathematics, statistics, computer science, domain knowledge, and information science.
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First Year in VIT-Bangalore + Second Year in University of Michigan-Dearborn, USA
Duration: 1 + 1
The Computer and Information Science master’s degree program is designed to prepare students for professional practice, as well as further studies and research in the computing field.
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First Year in VIT-Bangalore + Second Year in University of Michigan-Dearborn, USA
Duration: 1 + 1
The Artificial Intelligence master’s degree program is designed as a 30-credit hour curriculum that give students a comprehensive framework for artificial intelligence.
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A business analytics master’s degree is perfect for professionals who need to analyze and interpret information to inform and guide strategic business decisions.
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First Year in VIT-Bangalore + Second Year in Binghamton University (SUNY), USA
Duration: 1 + 1
Any student in the MSIS program may specialize in applied data science. This track has two required courses & two electives. These courses will replace four electives from the general MSIS program.
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The data science degree gives you the practical and theoretical skills to handle large-scale data management and analysis challenges that arise in today’s data-driven organizations.
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First Year in VIT-Bangalore + Second Year in Binghamton University (SUNY), USA
Duration: 1 + 1
The master of science in computer science program is intended for students with a strong background in computer science and a desire to prepare for research studies or professional practice.
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