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Bachelor of Science in Computer Science - Data Science

Bachelor of Science in Computer Science - Data Science

at IIMT India

Overview

B.Sc. (CS) Data Science is a three- year undergraduate course, suitable for those who want to study Big Data Analytics. The course content is carefully chosen and distributed in six semesters in an organized way. Through a structured lesson plan, students gain knowledge about computer science & programming, statistics & operations research, mathematical skills, data mining, ethical issues around the use and processing of data, data analytics & database and information retrieval. They develop their skills through hands-on experience in language labs & R & D Labs. At the end of the course, the students are successfully able to integrate and apply statistical and computational principles to solve real-world problems with large-scale data science

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30

Application Processing Days

Under Graduate

Program Level

Fact & Figures

Full Time On Campus

Study Mode

36

Duration

IIMT

Location

Bachelor of Science in Computer Science - Data Science Assistant Fee

$75000

Tuition Fee

$NA

Average Cost of Living

$0

Application Fee

Bachelor of Science in Computer Science - 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

36

Duration

Study Visa

B.Sc. (CS) Data Science is a three- year undergraduate course, suitable for those who want to study Big Data Analytics. The course content is carefully chosen and distributed in six semesters in an organized way. Through a structured lesson plan, students gain knowledge about computer science & programming, statistics & operations research, mathematical skills, data mining, ethical issues around the use and processing of data, data analytics & database and information retrieval. They develop their skills through hands-on experience in language labs & R & D Labs. At the end of the course, the students are successfully able to integrate and apply statistical and computational principles to solve real-world problems with large-scale data science

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