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JS University BCA in Artificial Learning & Machine Learning (AL-ML)

BCA in Artificial Learning & Machine Learning (AL-ML) at JS University - Course, Fees, Admission, Seats, Syllabus

location Shikohabad ( Uttar Pradesh )
location Estd In: 2007
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BCA in Artificial Learning & Machine Learning (AL-ML) at JS University - Course, Fees, Admission, Seats, Syllabus
location
Shikohabad ( Uttar Pradesh )
location
Estd In: 2007
Last Updated on February 06, 2024 10:07 PM
JS University provides a Bachelor of Computer Applications (BCA) program that offers various specializations to cater to the diverse interests and career aspirations of students. The BCA specializations at JS University focus on skills and industry relevant knowledge giving students a competitive edge in the rapidly evolving field of computer applications. At JS University students have the opportunity to choose from six specializations within the BCA program based on their interests and career goals. These specializations include Software Development, Web Designing, Cyber Security, Data Analytics, Artificial Intelligence and Mobile Application Development. Each specialization is carefully designed to equip students with skills and expertise in their chosen area empowering them for success in their future careers. With a range of BCA specializations available JS University aims to provide students with a well rounded education that prepares them for the ever changing IT industry. The BCA program at JS University emphasizes training collaborations, with industry partners and hands on learning experiences to ensure that students are well prepared for the demands of the modern digital world.
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Table of Contents

JS University BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 50,000 per yearFull-timePrivate

JS University BCA in Artificial Learning & Machine Learning (AL-ML) Important Topics 2024

SemesterImportant Topics
Semester 1Introduction to Programming, Basics of AI & ML, Mathematics for AI-ML
Semester 2Data Structures and Algorithms, Probability and Statistics, Python for AI-ML
Semester 3Machine Learning Fundamentals, Linear Algebra, Database Management Systems
Semester 4Deep Learning Basics, Natural Language Processing, Computer Vision
Semester 5Advanced Machine Learning, Reinforcement Learning, Big Data Analytics
Semester 6AI-ML Project, Ethics in AI, Cloud Computing for AI-ML

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