Collegesangi

Menu Hover Effect on Active Page – Unique 12 Version
Site Logo
AI Powered
BCA with AI/ML Specialization
Apply Now πŸ”₯ Trending
Course Mode
Offline
Duration
3
Eligibility
A candidate must have passed the 10+2 examination or its equivalent from a recognized board, with a minimum of 50% marks. Having Mathematics or Computer Science as a subject in 10+2 is often a mandatory requirement.
Entrance Exam
BET, CUET
Type of Course
UG
Share this Course

Course Summary

A BCA with an Artificial Intelligence (AI) and Machine Learning (ML) specialization is a modern, industry-aligned undergraduate program that combines the foundational principles of computer applications with specialized knowledge in AI and ML. This program goes beyond traditional BCA by integrating core subjects like data structures and algorithms with advanced topics such as natural language processing, deep learning, and predictive analytics. It is an ideal choice for students who are passionate about programming and have a strong aptitude for logical reasoning and problem-solving. This specialization prepares graduates to work with intelligent systems and data-driven solutions, making them highly sought after in the current job market.

πŸ“… Upcoming Admission Deadlines

  • bca-with-ai-ml-specialization with 50% scholarship August 28, 2025

Top Recruiters

TCS
Wipro
Accenture
Infosys
Capgemini
HCL Technologies
Amazon
IBM
Tech Mahindra

Career Scope

βœ”
Software Developer
βœ”
Web Developer
βœ”
Β Network Engineer
βœ”
Frontend Engineer

College-wise Fees

Frequently Asked Questions

It's a Bachelor of Computer Applications (BCA) program with a focus on Artificial Intelligence (AI) and Machine Learning (ML). You'll gain a broad understanding of computer science alongside specialized knowledge in AI and ML techniques.
You'll learn foundational computer science principles, programming, and specialized AI/ML concepts such as algorithms, deep learning, neural networks, and data-driven decision-making.
Graduates can pursue roles such as Data Analyst, Machine Learning Engineer, AI Developer, Data Engineer, Business Analyst, and AI Tester.
πŸ“ž Need Help? Talk to a Course Advisor
Get Free Advice