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SGBAU Amravati BCA in Data Science

BCA in Data Science at SGBAU Amravati - Course, Fees, Admission, Seats, Syllabus

location Amravati ( Maharashtra )
location Estd In: 1983
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BCA in Data Science at SGBAU Amravati - Course, Fees, Admission, Seats, Syllabus
location
Amravati ( Maharashtra )
location
Estd In: 1983
Last Updated on February 06, 2024 9:10 PM
Sant Gadge Baba Amravati University, situated in the state of Maharashtra, India is an educational institution that offers a wide range of courses to students. One of its choices among students interested in computer science and information technology is the Bachelor of Computer Applications (BCA) program. This program provides a curriculum and industry relevant training to prepare students for successful careers in the ever evolving IT industry. At Sant Gadge Baba Amravati University there are three specializations within the BCA program; Software Development, Database Management and Web Development. These specializations allow students to tailor their education according to their interests and career goals. Each specialization equips students with the knowledge and skills required to excel in their chosen area of expertise. By combining concepts, with practical applications Sant Gadge Baba Amravati University ensures that BCA graduates are well prepared to meet industry demands and contribute to technological advancements.
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Table of Contents

SGBAU Amravati BCA in Data Science Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 30,000 per yearFull-timePublic

SGBAU Amravati BCA in Data Science Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Data Science, Programming Fundamentals, Mathematics for Data Science, Statistics Basics
Semester 2Advanced Programming, Database Management Systems, Linear Algebra, Probability and Statistics
Semester 3Data Structures and Algorithms, Machine Learning Basics, Data Visualization, Database Systems
Semester 4Advanced Machine Learning, Big Data Analytics, Data Mining, Web Technologies
Semester 5Deep Learning, Natural Language Processing, Cloud Computing for Data Science, Business Intelligence
Semester 6Capstone Project, Advanced Topics in Data Science, Ethics in Data Science, Data Science in Practice

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