Bachelor of Computer Application (BCA - Specialization)

Artificial Intelligence in collaboration with Futurense Technologies


Eligibility

Pass in 10+2 or equivalent from a recognized board, preferably with Mathematics or Computer Science as one of the subjects.

Overview

This BCA program focuses on equipping students with knowledge and skills in artificial intelligence, preparing them for the tech-driven future. The collaboration with Futurense Technologies ensures exposure to real-world AI projects and industry-best practices.

Program Description

The course covers fundamentals of artificial intelligence, machine learning, and neural networks. Students will work on hands-on projects, leveraging industry partnerships to gain practical knowledge and certification in AI frameworks.

Awards
  • Degree: Bachelor of Computer Applications (BCA)
  • Additional Certification: AI Frameworks from Futurense Technologies
Credits

Total Credits: 140 (including internships and projects)

Curriculum Structure (Semester-Wise)
  • Introduction to Artificial Intelligence
  • Basics of Programming in Python
  • Mathematics for AI and Computing
  • Fundamentals of IT and Digital Transformation
  • AI Lab I: Programming Fundamentals
  • Data Structures and Algorithms
  • Machine Learning Basics
  • Database Management Systems
  • Operating Systems
  • AI Lab II: Basic Machine Learning Projects
  • Neural Networks and Deep Learning Basics
  • Introduction to Data Analytics
  • Web Development and Frameworks
  • Probability and Statistics for AI
  • AI Lab III: Neural Network Applications
  • Big Data Analytics
  • Advanced Machine Learning
  • Natural Language Processing
  • Cloud Computing Basics
  • AI Lab IV: Data and AI Integration
  • Industry Internship with Futurense Technologies
  • Ethical AI and Governance
  • Elective I: AI in Healthcare / AI in Gaming
  • Research Methodology and Documentation
  • Capstone Project (AI-Based Application)
  • Advanced AI Tools and Technologies
  • Placement Preparation and Career Guidance
  • Elective II: Robotics Process Automation / AI in Cybersecurity
Career Enhancement Programs
  • Industry collaboration for practical exposure
  • Workshops on emerging AI tools and technologies
  • Personality development and presentation skills training
Career Outcomes
  • AI Developer
  • Data Analyst
  • Machine Learning Engineer
  • Cloud Engineer specializing in AI
  • AI Research Assistant