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Bachelor of Technology in Computer Science Engineering - Data Science

Bachelor of Technology in Computer Science Engineering - Data Science

at SAGE University India

Overview

B. Tech. in Computer Science with specialization in Data Science (DS) is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. It is one of the new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The programme encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems.

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

48

Duration

SAGE University

Location

Bachelor of Technology in Computer Science Engineering - Data Science Assistant Fee

$80000

Tuition Fee

$NA

Average Cost of Living

$0

Application Fee

Bachelor of Technology in Computer Science Engineering - Data Science Admissions Requirements

  • Minimum Level of Education Required: To be accepted into this program, applicants must have Grade 12 / High School Diploma or equivalent.
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Detailed Program and Facts

30

Application Processing Days

Full Time On Campus

Program Intensity

Under Graduate

Program Level

48

Duration

Study Visa

B. Tech. in Computer Science with specialization in Data Science (DS) is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. It is one of the new, exponentially growing field which consists of a set of tools and techniques used to extract useful information from data. The programme encompasses data Science as an interdisciplinary, problem-solving oriented subject that learns to apply scientific techniques to practical problems. The course curriculum involves a blend of data inference, algorithm development, and technology to analytically solve complex problems.

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