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Lloyd Institute of Engineering and Technology BCA in Data Science

BCA in Data Science at Lloyd Institute of Engineering and Technology - Course, Fees, Admission, Seats, Syllabus

location Greater Noida ( Uttar Pradesh )
location Estd In: 2002
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BCA in Data Science at Lloyd Institute of Engineering and Technology - Course, Fees, Admission, Seats, Syllabus
location
Greater Noida ( Uttar Pradesh )
location
Estd In: 2002
Last Updated on February 20, 2024 4:54 PM
Lloyd Institute of Engineering and Technology is a known educational institution that offers an advanced Bachelor of Computer Applications (BCA) program specializing in Data Science. This program is carefully crafted for students who're eager to explore the fast evolving world of data science and analytics. The curriculum effectively bridges the gap between theory and practical application equipping students with the skills needed to tackle real world challenges. The BCA in Data Science at Lloyd Institute covers a range of subjects, including programming languages like Python and R, database management, machine learning, artificial intelligence, statistical methods and data visualization techniques. This comprehensive approach ensures that students not gain a deep understanding of data analysis but also build a strong foundation in computer applications. Additionally the program places emphasis on project based learning encouraging students to participate in live projects and case studies. This hands on experience is invaluable as it provides insights into industry demands and expectations. At Lloyd Institute we take pride in our faculty members who bring their vast knowledge and expertise into the classroom. By combining education with practical experience the BCA in Data Science at Lloyd Institute of Engineering and Technology prepares students, for successful careers in the rapidly growing field of data science. Employers highly value graduates from this program due to their skills in analyzing data and turning it into valuable insights. These individuals are considered assets, to any organization.
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Lloyd Institute of Engineering and Technology BCA in Data Science Highlights 2024

Course DurationCourse LevelTuition FeesMode of StudyInstitute Type
3 YearsUndergraduateVaries (Please check the institute's website)Full-timePrivate

Lloyd Institute of Engineering and Technology BCA in Data Science Syllabus 2024

YearBCA in Data Science Syllabus
1st YearIntroduction to Programming, Mathematics for Data Science, Basics of Data Structures, Introduction to Database Management Systems, Principles of Data Science.
2nd YearAdvanced Programming, Probability and Statistics for Data Science, Machine Learning Fundamentals, Data Preprocessing and Visualization, Database and Big Data Technologies.
3rd YearDeep Learning, Big Data Analytics, Data Science Project Management, Electives (IoT, Blockchain in Data Science, etc.), Capstone Project.
Please note that the syllabus mentioned is a generic representation and might not exactly match the current syllabus of Lloyd Institute of Engineering and Technology's BCA in Data Science program. It's always best to check the official website or contact the institution directly for the most accurate and up-to-date syllabus.

Lloyd Institute of Engineering and Technology BCA in Data Science Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Data Science, Programming in Python, Mathematics for Data Science, Basics of Computer & Data Science Ethics
Semester 2Advanced Python, Database Management Systems, Probability and Statistics, Data Visualization Techniques
Semester 3Data Preprocessing, Linear Algebra, Machine Learning Basics, Web Technologies for Data Science
Semester 4Advanced Machine Learning, Big Data Analytics, Time Series Analysis, Cloud Computing for Data Science
Semester 5Deep Learning, Natural Language Processing, Data Science Project Management, Elective (Blockchain Technology/ Internet of Things)
Semester 6Capstone Project, Industry Internship, Elective (Advanced Database Management Systems/ Business Intelligence)

Lloyd Institute of Engineering and Technology BCA Course FAQs

What is BCA in Data Science at Lloyd Institute of Engineering and Technology?
BCA in Data Science at Lloyd Institute of Engineering and Technology is an undergraduate program designed to provide students with a strong foundation in computer applications with a specialized focus on data science. The program aims to equip students with the necessary skills to analyze, interpret, and manage data effectively.
What are the eligibility criteria for BCA in Data Science at Lloyd Institute of Engineering and Technology?
The eligibility criteria for BCA in Data Science at Lloyd Institute of Engineering and Technology typically include passing 10+2 or equivalent examination from a recognized board with Mathematics as a subject. However, specific criteria may vary, and it's advisable to check the institute's official website or contact the admissions office for the most accurate information.
How can I apply for BCA in Data Science at Lloyd Institute of Engineering and Technology?
To apply for BCA in Data Science at Lloyd Institute of Engineering and Technology, candidates usually need to fill out an application form available on the institute's official website. The application process may involve submitting academic transcripts, proof of eligibility, and possibly appearing for an entrance test or interview, depending on the institute's admission policy.
What is the duration of the BCA in Data Science program at Lloyd Institute of Engineering and Technology?
The BCA in Data Science program at Lloyd Institute of Engineering and Technology is typically a 3-year undergraduate course, divided into six semesters.
What career opportunities are available after completing BCA in Data Science from Lloyd Institute of Engineering and Technology?
After completing BCA in Data Science from Lloyd Institute of Engineering and Technology, graduates can explore various career opportunities in fields such as data analysis, data engineering, business intelligence, machine learning engineering, and data science, among others. They can work in sectors like IT, healthcare, finance, e-commerce, and more.

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