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

Ranchi ( Jharkhand )

Estd In: 2017

Last Updated on February 15, 2024 4:13 PM

The BCA in Data Science program offered by YBN University is carefully designed to provide students with both advanced knowledge necessary to succeed in the ever changing field of data science. This specialized course combines understanding with practical skills preparing students for various career opportunities in data analysis, machine learning and big data management among others. To be eligible for enrollment in the BCA in Data Science program at YBN University candidates must have scored a minimum of 50% marks in their 10+2 examination from a recognized board with Mathematics as one of the subjects. This ensures that candidates possess the quantitative background needed for this field. The curriculum covers topics such as data structures, algorithms, statistical methods, database management and programming languages relevant to data science. The admission process includes an evaluation of credentials followed by a personal interview to assess the candidates aptitude and motivation for pursuing a career in data science. With its approach to education and training the BCA in Data Science program at YBN University provides numerous exciting opportunities, within the thriving tech industry.

Introduction
Specializations Highlights
Specializations Syllabus
Specializations Important Topics
FAQs

YBN University BCA in Data Science Highlights 2024

Course Duration	Course Level	Fee	Mode of Study	Institute Type
3 Years	Undergraduate	Varies	Online/Offline	University

YBN University BCA in Data Science Syllabus 2024

Semester	Subjects
1st Semester	Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
2nd Semester	Statistics for Data Science, Database Management Systems, Python Programming, Organizational Behavior, Data Structures
3rd Semester	Machine Learning Basics, Operating Systems, Big Data Analytics, Discrete Mathematics, Web Technologies
4th Semester	Advanced Machine Learning, Cloud Computing for Data Science, Data Visualization, Linear Algebra, Minor Project
5th Semester	Deep Learning, Artificial Intelligence, Elective 1, Elective 2, Internship
6th Semester	Capstone Project, Elective 3, Elective 4, Industry Training, Seminar

Please replace "Elective 1, Elective 2, Elective 3, Elective 4" with actual elective subjects offered by the university, and adjust the subjects according to the actual syllabus of YBN University's BCA in Data Science program.

YBN University BCA in Data Science Important Topics 2024

Sure, I'll provide a simplified example of how this could look. Please note that the specific topics might vary based on the university's curriculum updates. Here's a basic HTML table format for an example BCA in Data Science course:

Course Module	Description
Introduction to Data Science	Foundational principles of data science, including basic statistics and data analysis techniques.
Programming for Data Science	Introduction to programming languages such as Python or R that are essential for data manipulation and analysis.
Database Management Systems	Understanding of how databases are designed, managed, and utilized in data science.
Data Mining and Predictive Modeling	Techniques for discovering patterns in large datasets and using these patterns to predict future data points.
Machine Learning	Study of algorithms and statistical models that computer systems use to perform tasks without explicit instructions.
Big Data Analytics	Techniques and tools for analyzing, processing, and extracting valuable information from large sets of data.
Data Visualization	Principles and tools for visualizing and communicating data effectively.
Cloud Computing for Data Science	Overview of cloud computing platforms and their application in storing, processing, and analyzing big data.
Capstone Project	Practical project where students apply what they have learned to solve real-world data science problems.

This table includes a "Course Module" column with the name of the topic and a "Description" column providing a brief overview of what each module covers. Remember, the actual course content might include more detailed or additional topics based on the latest industry trends and academic requirements.

YBN University BCA Course FAQs

What is the fee structure for the BCA in Data Science at YBN University?

The fee structure for the BCA in Data Science at YBN University varies each academic year. It is advisable to check the official university website or contact the admissions office directly for the most current fee details.

Are there any entrance exams required for admission into the BCA in Data Science program at YBN University?

YBN University typically does not mandate entrance exams for admission into the BCA in Data Science program. Admissions are usually based on past academic performance. However, it's recommended to verify this information from the official admissions notification for the year you are applying.

What is the selection process for the BCA in Data Science at YBN University?

The selection process for the BCA in Data Science at YBN University generally involves a review of the applicant's academic records, and in some cases, a personal interview. The exact criteria and process may vary, so it's best to consult the latest admissions guidelines provided by the university.

Is there any financial aid or scholarship available for students enrolling in the BCA in Data Science program at YBN University?

YBN University offers financial aid and scholarships to eligible students based on various criteria such as academic excellence, financial need, and more. Interested candidates should apply for these opportunities at the time of admission and check the university's official website for detailed information and application procedures.

What are the career prospects after completing a BCA in Data Science from YBN University?

Graduates of the BCA in Data Science program from YBN University have a wide range of career opportunities in fields such as data analysis, data engineering, business intelligence, and machine learning, among others. They can work in sectors like IT, healthcare, finance, e-commerce, and more. The university's career services also help students connect with potential employers through job fairs, workshops, and internships.

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