Total Fees 66.00 K | Seats 750 |
₹ 66.00 K
$ 1.10 K
The Online Bachelor of Computer Applications (BCA) in Data Science and Artificial Intelligence at Yenepoya Online equips students with expertise in data analytics, AI, and machine learning. This three-year programme covers foundational topics such as data science and problem-solving to advanced areas like Generative AI and AI Ethics.
With an Online BCA Data Science and Artificial Intelligence from Yenepoya Online, students gain hands-on experience with SQL and NoSQL Databases, Python, and Business Intelligence and Analytics to build data-driven decision-making skills. The Yenepoya Online BCA Data Science and Artificial Intelligence programme opens various career opportunities such as Software Developer, Cloud Solutions Architect, and Systems Analyst.
Candidates interested in pursuing an Online BCA in Data Science and Artificial Intelligence must have completed 10+2 from State Board, CBSE, NIOS, ICSE, IGCSE, IB, recognised by respective State or Central Government. Students who are due to take the Class 12th examination are also eligible to submit their application for the programme.
Admission to Online BCA in Data Science and Artificial Intelligence at Yenepoya Online requires submitting an application form along with the relevant documents and paying the requisite application fee. Admission to Yenepoya Online BCA Data Science and Artificial Intelligence is merit-based.
Applicants must follow the steps mentioned below for admission to Online BCA in Data Science and Artificial Intelligence at Yenepoya Online:
Visit the official website - onlineyenepoya.com
Register yourself by entering name, email address, mobile number, nationality, programme name, and elective
Post that, fill in the application form
Pay the requisite application fee
Upload documents and submit
Structured across six semesters, the Yenepoya Online BCA Data Science and Artificial Intelligence syllabus enables learners to dive into specialised fields such as deep learning, NLP, and reinforcement learning to build AI-powered solutions. The curriculum involves a Capstone Project, integrating AI and data science to address real-world challenges. The detailed semester-wise syllabus of Online BCA Data Science and Artificial Intelligence at Yenepoya Online is given below:
English
Programming in C
Fundamentals of Mathematics
Understanding Data Science and Problem Solving
Excel for Data Analytics
Fundamentals of SQL and NoSQL DB
Data structures using C
OOPS with C++
Quantitative Methods-I
Fundamentals of Python and Libraries
Data Manipulation Tools and Techniques
Communicative English
Relational Database Management Systems
Quantitative Methods-II
Business Intelligence and Analytics
Data Visualization Tools and Techniques
Environmental Science
ML Algorithms and AI Overview
Fundamentals of AI and Deep Learning
Understanding NLP and Applications
Data Mining
Ethics and Values
Entrepreneurship
Object Oriented Modeling and Design Patterns
Data Engineering and Big Data Analytics
Business and Time Series Analytics
Generative AI Fundamentals and AI Ethics
Internet of Things
Implementing Complex AI Applications
Understanding Reinforcement Learning
Research Methodology and Data Governance
Project
Yenepoya (Deemed to be University) conducts term-end examinations in online proctored mode for the Online BCA in Data Science and Artificial Intelligence programme.
An Online BCA in Data Science and Artificial Intelligence at Yenepoya Online is a three-year programme designed to build expertise in data analytics, AI, and machine learning.
Yes, an Online BCA in Data Science and Artificial Intelligence at Yenepoya Online is entitled by the University Grants Commission (UGC).
Candidates who have passed 10+2 from any State Board, CBSE, NIOS, IGCSE, IB, ICSE, recognised by respective State or Central Government are eligible to apply for an Online BCA in Data Science and Artificial Intelligence.
Yes. As per the UGC, an Online BCA degree equally holds the same value as an offline degree.
After completing an Online BCA in Data Science and Artificial Intelligence, graduates can explore career options such as IT Support Specialist, Systems Analyst, Network Administrator, Mobile App Developer, and Quality Assurance Analyst.