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Quick Facts

Total Fees
2.42 L

Fees Details

General

2.42 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

MODE

Full time

DURATION

36 Months

The Bachelor of Computer Applications (BCA) program with a specialization in Data Science is meticulously designed to equip students with a deep understanding and hands-on expertise in the rapidly expanding field of data science. This specialized program delves into the intricacies of data analysis, manipulation, and interpretation, preparing students for careers at the forefront of the data-driven revolution. Throughout the curriculum, students embark on a journey that encompasses a broad spectrum of subjects essential for data science proficiency. These include foundational concepts in statistics and mathematics, essential programming skills in languages like Python and R, and a comprehensive exploration of data analysis techniques. Students also delve into advanced topics such as machine learning algorithms, data visualization, and big data technologies, providing them with a well-rounded skill set to tackle complex data challenges.

One of the distinguishing features of this program is its emphasis on practical learning. Through hands-on projects, case studies, and real-world applications, students gain invaluable experience in applying theoretical concepts to solve practical problems. They learn to collect, clean, analyze, and visualize data effectively, honing their skills in data-driven decision-making. Furthermore, the BCA specialization in Data Science often fosters collaboration with industry partners, providing students with opportunities for internships, guest lectures, and industry-relevant projects. This exposure to real-world scenarios not only enhances their learning experience but also prepares them for the demands of the professional world. Upon completion of the program, graduates are poised to pursue a variety of exciting career opportunities in fields such as data analysis, machine learning, business intelligence, and more. They are equipped with the knowledge, skills, and ethical considerations necessary to thrive in a data-centric world, making them valuable assets in a wide range of industries and sectors.


Eligibility Criteria

Passed 10+2 with at least 60% marks in any discipline from recognized board

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