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GNA University BCA in Data Science

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

location Phagwara ( Punjab )
location Estd In: 2014
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BCA in Data Science at GNA University - Course, Fees, Admission, Seats, Syllabus
location
Phagwara ( Punjab )
location
Estd In: 2014
Last Updated on February 15, 2024 3:08 PM
GNA University, a respected institution known for its innovative approach to education presents the Bachelor of Computer Applications (BCA) program in Data Science. This program is designed to equip students with the skills and knowledge to excel in the ever evolving field of data science. The curriculum is carefully designed, combining understanding with practical experience. It ensures that students gain expertise in areas such as data analysis, machine learning, big data technologies and relevant programming languages used in the industry. The faculty at GNA University consists of professionals and educators who bring extensive knowledge and insights from their respective fields creating an environment conducive to learning and exploration. Admission to the BCA program in Data Science at GNA University is competitive with a selection process that evaluates applicants based on their achievements, passion for technology and data analysis as well as their potential contributions to this field. GNA University is committed not to providing students with an education but also guiding them towards success by offering excellent placement opportunities. With its network of industry connections the university ensures that students stay up to date with the latest trends and technologies preparing them for fulfilling careers in various domains, within data science.
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GNA University BCA in Data Science Highlights 2024

Given the constraints of the request and the fact that I can't provide real-time or the most current data, I'll create a generic example table in a single line of HTML. Please replace the placeholders with the actual data for GNA University's BCA in Data Science program.
HighlightDetails
Course Duration3 Years
Course LevelUndergraduate
Course Tuition FeesRs 1,20,000 per annum
Mode of StudyFull-time
Institute TypePrivate
Please ensure to update the "Course Tuition Fees" with the accurate figure as per the latest data available to you.

GNA University BCA in Data Science Syllabus 2024

Given the dynamic nature of university curricula and the specific request for GNA University's BCA in Data Science syllabus in a single-line HTML format, I'll provide a generic example. Please note, for the most accurate and up-to-date syllabus, it's best to consult the official GNA University website or contact the university directly. The example below is a simplified representation and may not reflect the current curriculum.
YearSemesterSubjects
11Introduction to Data Science, Mathematics for Data Science, Programming Fundamentals, English Communication, Environmental Studies
12Statistics for Data Science, Database Management Systems, Python Programming, Discrete Mathematics, Indian Constitution
21Data Analysis and Visualization, Advanced Python for Data Science, Linear Algebra, Operating Systems, Soft Skills
22Machine Learning, Big Data Analytics, Data Warehousing and Data Mining, Object-Oriented Programming, Entrepreneurship Development
31Deep Learning, Cloud Computing for Data Science, Artificial Intelligence, Elective I, Project Work I
32Natural Language Processing, Internet of Things (IoT) for Data Science, Elective II, Project Work II, Internship
This table includes a basic structure of what a BCA in Data Science program might look like, spread over three years and including both core and elective subjects. Remember, the actual syllabus may include more detailed subjects, practical labs, workshops, and might be updated or changed by the university.

GNA University BCA in Data Science Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Data Science, Programming Fundamentals, Discrete Mathematics
Semester 2Statistics for Data Science, Database Management Systems, Data Structures
Semester 3Machine Learning Basics, Python for Data Science, Linear Algebra
Semester 4Data Visualization, Advanced Database Management, Probability and Statistics
Semester 5Big Data Analytics, Deep Learning, Data Mining
Semester 6Capstone Project, Advanced Machine Learning, Business Intelligence

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