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LCET Ludhiana BCA in Data Science

BCA in Data Science at LCET Ludhiana - Course, Fees, Admission, Seats, Syllabus

location Ludhiana ( Punjab )
location Estd In: 2002
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BCA in Data Science at LCET Ludhiana - Course, Fees, Admission, Seats, Syllabus
location
Ludhiana ( Punjab )
location
Estd In: 2002
Last Updated on February 21, 2024 5:37 PM
Ludhiana College of Engineering and Technology (LCET) is known for its leading role in providing education in the technology and computer applications field. The Bachelor of Computer Applications (BCA) program in Data Science offered by LCET is exceptional aiming to cater to the increasing demand for data science experts. This course is meticulously designed to give students an understanding of data analysis, machine learning, big data technologies, statistics and database management systems. It equips them with the skills needed to analyze complex datasets effectively for decision making purposes. The curriculum focuses on a balance between knowledge and hands on experience ensuring that students are well prepared for industry roles upon completing their studies. By emphasizing emerging technologies and trends in data science LCETs BCA program in Data Science is a choice for those who aspire to excel as data scientists, in this dynamic field. The faculty members consist of professionals and educators who bring practical insights into the classroom environment enhancing the overall learning journey.
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Table of Contents

LCET Ludhiana BCA in Data Science Highlights 2024

**Characteristic**; **Details**; Duration of the Course; 3 Years Academic Level of the Course; Undergraduate Cost of Tuition; Varies (Kindly refer to the recent information on the official website) Method of Study; Full time Type of Institution; Private Please bear in mind that the details outlined in the table are based on norms for BCA programs in Data Science in India. For the precise and current information regarding Ludhiana College of Engineering and Technologys BCA program, in Data Science including tuition fees and any specific curriculum highlights it is advisable to visit the official website or reach out to the institution directly.

LCET Ludhiana BCA in Data Science Syllabus 2024

Given the dynamic nature of course curriculums and the specific request for the Ludhiana College of Engineering and Technology (LCET) BCA in Data Science syllabus, I recommend checking the official LCET website or contacting the institution directly for the most accurate and up-to-date syllabus. However, I can provide a generic example of what a semester-wise BCA in Data Science syllabus might look like in a single-line HTML table format. Please note, this is a hypothetical example and may not reflect the actual LCET curriculum.
SemesterSubjects
Semester 1Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
Semester 2Database Management Systems, Data Structures, Object-Oriented Programming, Probability and Statistics, Digital Principles and Systems Design
Semester 3Operating Systems, Web Technologies, Python for Data Science, Linear Algebra, Minor Project I
Semester 4Machine Learning, Big Data Analytics, Data Visualization, Elective I, Minor Project II
Semester 5Deep Learning, Cloud Computing for Data Science, Elective II, Elective III, Major Project I
Semester 6Artificial Intelligence, Data Science Capstone Project, Elective IV, Elective V, Industrial Training/Internship
This table includes a generic set of subjects that might be found in a BCA in Data Science program, divided by semester. It's important to customize this table based on the actual curriculum provided by Ludhiana College of Engineering and Technology for their BCA in Data Science program.

LCET Ludhiana BCA in Data Science Important Topics 2024

TopicDescription
Curriculum OverviewDetails on courses covering programming, machine learning, statistics, and data management.
Faculty ExpertiseInformation on the qualifications and areas of specialization of the faculty members.
Practical ExposureInsights into internships, projects, and industry collaborations that provide real-world experience.
InfrastructureDetails on the labs, libraries, and computing facilities available for students.
Placement OpportunitiesStatistics and information on campus recruitment and job prospects in the field of data science.
Alumni NetworkInformation on the alumni community and how it supports current students and recent graduates.
Admission CriteriaEligibility requirements, selection process, and important dates for applicants.
Scholarships and Financial AidDetails on scholarships, grants, and other financial support available to students.

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