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KIIT Gurgaon BCA in Data Science

BCA in Data Science at KIIT Gurgaon - Course, Fees, Admission, Seats, Syllabus

location Gurgaon ( Haryana )
location Estd In: 2006
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BCA in Data Science at KIIT Gurgaon - Course, Fees, Admission, Seats, Syllabus
location
Gurgaon ( Haryana )
location
Estd In: 2006
Last Updated on February 21, 2024 5:14 PM
KIIT College of Engineering provides a Bachelor of Computer Application (BCA) program specializing in Data Science. This program aims to equip students with both advanced skills essential for the growing field of data science. The curriculum is designed to offer an understanding of data analysis, machine learning, big data technologies and statistical methods by combining theoretical knowledge with practical applications. Upon completion of the program students are well prepared for the industry. The fee structure for the BCA in Data Science program at KIIT is competitive ensuring affordability without compromising on quality education. Prospective students are advised to verify the fee details directly from the colleges official website or admission office as fees may vary each academic year. KIIT prides itself on its faculty members who are experienced academicians and industry professionals bringing valuable knowledge and practical insights to the classroom. The college has a placement cell that actively assists graduates in securing rewarding job opportunities. Leading companies from diverse sectors recruit from KIIT offering positions in data analysis, machine learning engineering and more underscoring the success of the program, in meeting industry requirements.
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Table of Contents

KIIT Gurgaon BCA in Data Science Highlights 2024

Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesVaries
Mode of StudyFull Time
Institute TypePrivate

KIIT Gurgaon BCA in Data Science Syllabus 2024

As of my last update in April 2023, I don't have access to real-time databases or specific course syllabi for institutions like KIIT College of Engineering. However, I can provide you with a general outline of what a Bachelor of Computer Applications (BCA) program might include. Please note that for the most accurate and detailed syllabus, you should consult KIIT College of Engineering's official website or contact the institution directly. Below is a hypothetical example of what a BCA syllabus could look like, formatted as requested:
SemesterSubjects
Semester 1Introduction to Programming using C, Mathematics for Computing, Digital Fundamentals, English Communication, Environmental Studies
Semester 2Object-Oriented Programming using C++, Data Structures, Database Management Systems, Discrete Mathematics, Principles of Management
Semester 3Operating Systems, Web Technologies, Computer Networks, Software Engineering, Management Information Systems
Semester 4Java Programming, Algorithm Analysis and Design, Computer Graphics, Microprocessor and Assembly Language, Organizational Behavior
Semester 5Cloud Computing, Mobile Application Development, Cyber Security, Artificial Intelligence, Elective 1 (e.g., Internet of Things, Big Data Analytics)
Semester 6Project Work, Elective 2 (e.g., Machine Learning, Digital Marketing), Elective 3 (e.g., Blockchain Technology, Virtual Reality), Professional Ethics and Human Values, Entrepreneurship Development
This table is a simplified representation and does not cover all aspects such as practical labs, workshops, or the detailed breakdown of topics under each subject. Electives can vary greatly among institutions and are often updated to keep pace with technological advancements. For the most current and detailed syllabus, please refer to the official resources provided by KIIT College of Engineering.

KIIT Gurgaon BCA in Data Science Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Programming, Mathematics for Data Science, Basics of Data Structures
Semester 2Object-Oriented Programming, Database Management Systems, Linear Algebra
Semester 3Probability and Statistics, Data Analysis and Visualization, Introduction to Machine Learning
Semester 4Advanced Database Management, Big Data Analytics, Principles of Data Mining
Semester 5Deep Learning, Natural Language Processing, Cloud Computing for Data Science
Semester 6Capstone Project, Ethics in AI and Data Science, Advanced Machine Learning Techniques

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