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

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

location Bangalore ( Karnataka )
location Estd In: 2014
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BCA in Artificial Learning & Machine Learning (AL-ML) at Dayananda Sagar University - Course, Fees, Admission, Seats, Syllabus
location
Bangalore ( Karnataka )
location
Estd In: 2014
Last Updated on February 06, 2024 8:31 PM
Dayananda Sagar University, a known educational institution in Bangalore, India offers an extensive Bachelor of Computer Applications (BCA) program that covers a wide range of specializations. With an emphasis on delivering high quality education and fostering innovation Dayananda Sagar University has become a preferred choice for students who aspire to build their careers in the field of computer applications. The BCA program at Dayananda Sagar University provides students with opportunities to specialize in domains equipping them with the necessary skills and knowledge to excel in their chosen areas. Some of the specializations include Software Development, Web Development, Data Analytics, Cybersecurity and Artificial Intelligence. These specializations are tailored to meet the evolving demands of the industry and give students an edge in the job market. Backed by faculty members, state of the art infrastructure and collaborations with industry partners Dayananda Sagar University ensures that students receive a comprehensive learning experience. The BCA program with its specializations prepares students, for successful careers in the constantly growing field of computer applications.
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Dayananda Sagar University BCA in Artificial Learning & Machine Learning (AL-ML) Highlights 2024

Course DurationCourse LevelCourse Tuition FeesMode of StudyInstitute Type
3 yearsUndergraduateINR 1,00,000 per yearFull-timePrivate

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

SemesterImportant Topics in AL-ML
Semester 1Introduction to Programming, Basics of Artificial Intelligence, Mathematical Foundations for Machine Learning
Semester 2Data Structures and Algorithms, Probability and Statistics for Machine Learning, Python for Data Science
Semester 3Machine Learning Fundamentals, Linear Algebra for Machine Learning, Database Management Systems
Semester 4Deep Learning Basics, Natural Language Processing, Computer Vision
Semester 5Advanced Machine Learning Models, Reinforcement Learning, Big Data Analytics
Semester 6AI-ML Project, Ethics in AI, Emerging Trends in AI and ML

Dayananda Sagar University BCA Course FAQs

What is the duration of the BCA in Artificial Learning & Machine Learning (AL-ML) program at Dayananda Sagar University?
The BCA in Artificial Learning & Machine Learning (AL-ML) program at Dayananda Sagar University is a 3-year undergraduate course.
What are the eligibility criteria for enrolling in the BCA in AL-ML program at Dayananda Sagar University?
To be eligible for the BCA in AL-ML program at Dayananda Sagar University, candidates must have completed their 10+2 or equivalent examination from a recognized board with Mathematics as a subject.
How is the selection process conducted for the BCA in AL-ML program at Dayananda Sagar University?
The selection process for the BCA in AL-ML program at Dayananda Sagar University is based on the candidate's performance in their 10+2 or equivalent examination and a personal interview.
What are the fees for the BCA in Artificial Learning & Machine Learning program at Dayananda Sagar University?
The fees for the BCA in Artificial Learning & Machine Learning program at Dayananda Sagar University are approximately INR 1.5 lakhs per annum. However, candidates are advised to check the official university website for the most current fee structure.
What career opportunities are available after completing the BCA in AL-ML from Dayananda Sagar University?
After completing the BCA in AL-ML from Dayananda Sagar University, graduates can pursue careers in various fields such as data analysis, machine learning engineering, artificial intelligence development, software development, and research in AI and ML technologies.

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