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Rajiv Gandhi University BCA in Data Science

BCA in Data Science at Rajiv Gandhi University - Course, Fees, Admission, Seats, Syllabus

location Itanagar ( Arunachal Pradesh )
location Estd In: 1984
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BCA in Data Science at Rajiv Gandhi University - Course, Fees, Admission, Seats, Syllabus
location
Itanagar ( Arunachal Pradesh )
location
Estd In: 1984
Last Updated on February 06, 2024 9:51 PM
Rajiv Gandhi University, situated in Arunachal Pradesh, India presents a Bachelor of Computer Applications (BCA) program that caters to students diverse interests and career goals. The program emphasizes learning and industry relevant skills equipping students with the necessary knowledge and expertise to excel in the dynamic field of computer applications. At Rajiv Gandhi University students can choose from six specializations within the BCA program to align with their passion and career aspirations. These specializations include Software Development, Web Designing, Networking, Database Management, Artificial Intelligence and Cybersecurity. Each specialization offers in depth knowledge and hands on experience, in the chosen field ensuring students are well prepared for the evolving IT industrys demands. By offering a variety of specializations Rajiv Gandhi University aims to provide students with a rounded education that enhances not only their technical skills but also fosters critical thinking abilities, problem solving skills and a global perspective. Rajiv Gandhi University is dedicated to fostering the development of IT professionals who have the potential to create a meaningful influence in the digital realm. With its facilities, knowledgeable faculty and robust industry connections the university provides an exceptional learning environment, for students.
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Rajiv Gandhi University BCA in Data Science Highlights 2024

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

Rajiv Gandhi University BCA in Data Science Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Data Science, Programming in Python, Mathematics for Data Science, Statistics for Data Science I
Semester 2Advanced Python for Data Science, Database Management Systems, Data Visualization, Statistics for Data Science II
Semester 3Machine Learning I, Data Preprocessing, Linear Algebra for Data Science, Big Data Technologies
Semester 4Machine Learning II, Data Mining, Time Series Analysis, Cloud Computing for Data Science
Semester 5Deep Learning, Natural Language Processing, Business Intelligence, Elective I
Semester 6Advanced Topics in Data Science, Project Work, Internship, Elective II

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