The Bachelor of Computer Applications Honors Specialization in Artificial Intelligence program (BCA in AI) is a cutting edge 4 year undergraduate journey designed to develop future ready professionals skilled in intelligent systems, data driven decision making, and advanced computing technologies. The program blends core computer application knowledge with specialized training in artificial intelligence, preparing students to design and deploy smart digital solutions.
Candidate must have passed Intermediate (10+2) Examination with Any stream with at least 45% marks (40% for SC/ST).
| Fees Structure | Amount |
|---|---|
| 1st Year Annual | 90000/- INR |
| 2nd Year Annual | 90000/- INR |
| 3rd Year Annual | 90000/- INR |
| 4th Year Annual | 90000/- INR |
At Future University, admission to the Bachelor of Computer Applications in AI (BCA-AI) programme is conducted through a transparent, merit-based, and opportunity-driven selection process.
This programme is designed for students who aspire to build a strong foundation in computer science, software development, data systems, and emerging technologies.
Admissions are offered through one or more of the following routes:
1. Qualifying Examination Merit
Admission based on marks obtained in the 10+2 examination
Merit list prepared according to university eligibility norms.
2. State & National Level Entrance Examinations
Candidates may secure admission through recognized entrance examinations conducted at:
State Level Entrance Exams (as notified by respective authorities)
Other recognized entrance tests as approved by the university
Scores and ranks are considered as per university guidelines.
3. FUCET – Future University Common Entrance Test
Future University also conducts its own entrance examination:
FUCET (Future University Common Entrance Test)
Designed to assess aptitude in basic mathematics, logical reasoning, analytical ability, and computer awareness
Shortlisted candidates may be called for counseling and document verification
Future University stands apart through its industry aligned AI focused curriculum, strong emphasis on innovation, and commitment to experiential learning. With modern infrastructure, AI research exposure, and strong placement support, the university prepares students to become future ready professionals in intelligent technologies.
• Industry aligned AI curriculum design
• Strong focus on practical and project based learning
• Dedicated AI labs and innovation centers
• Four hundred plus research publications
• Startup and incubation support
To nurture skilled computer application professionals who are innovative, ethically responsible, and capable of developing intelligent systems that address complex real world challenges. The department strives to foster advanced technical competence, research orientation, and lifelong learning, empowering students to contribute meaningfully to the evolution of artificial intelligence and digital transformation.
High-demand roles across global tech industries
₹5 to 8 LPA
Design, develop, and deploy artificial intelligence models and intelligent systems for real world applications.
₹6 to 10 LPA
Build and optimize machine learning algorithms that enable predictive analytics and automation.
₹5 to 8 LPA
Analyze large datasets to extract insights and support data driven business and technology decisions.
₹6 to 9 LPA
Develop intelligent software applications using AI frameworks, cloud platforms, and modern programming tools.
• Build a strong foundation in computer applications and artificial intelligence technologies
• Prepare students for careers in AI development, machine learning, and data driven domains
• Deliver an industry aligned curriculum integrating theory with hands on project based learning
• Develop analytical thinking, problem solving, and innovation skills
• Provide exposure to modern AI tools, platforms, and real world use cases
• Industry aligned AI focused curriculum
• World class computing and AI infrastructure
• Practical and innovation driven learning approach
• Expert faculty and AI professionals as mentors
• State of the art AI laboratories
• Faculty with strong academic and industry experience
• Internship opportunities and live AI projects
• Strong placement support and career guidance
• Programming Fundamentals and Data Structures
• Artificial Intelligence and Machine Learning
• Deep Learning and Neural Networks
• Natural Language Processing
• Computer Vision and Image Processing
• Data Science and Analytics
• Cloud Computing and AI Platforms
• Intelligent Automation and Robotics Basics
• Ethical AI and Responsible Computing
Where Intelligence Meets Innovation
