The Bachelor of Computer Applications in Artificial Intelligence & Machine Learning Powered by IBM (BCA) is a forward looking 3 years undergraduate journey designed to build application focused AI professionals. The program combines strong computer application fundamentals with advanced AI and Machine learning capabilities aligned to global enterprise practices.
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 | 120000/- INR |
| 2nd Year Annual | 120000/- INR |
| 3rd Year Annual | 120000/- INR |
| 4th Year Annual | 120000/- INR |
At Future University, admission to the Bachelor of Computer Applications (BCA) AI & ML program is conducted through a transparent, merit based, and opportunity driven selection process. This specialized program is designed for students who aspire to build a strong foundation in Computer Science while gaining advanced exposure to Artificial Intelligence, Machine Learning, Data Analytics, and emerging digital technologies shaping the future of innovation.
Admissions are offered through one or more of the following routes:
Admission based on marks obtained in the 10+2 examination.
• Merit list prepared according to university eligibility norms
• Weightage given as per academic performance
• Selection strictly based on merit and seat availability
• National Level Entrance Examinations as notified by respective authorities
Future University conducts its own entrance examination known as FUCET.
• FUCET is designed to assess aptitude in Mathematics, Logical Reasoning, Analytical Ability, and Computer Awareness
• The test evaluates readiness for AI & ML based curriculum
• Shortlisted candidates may be called for counseling and document verification
Future University stands apart through its industry powered AI education, strong focus on application development, and commitment to enterprise readiness. With IBM aligned curriculum, real world exposure, and structured placement support, the university prepares students to become confident AI application professionals.
• IBM powered artificial intelligence and machine learning curriculum
• Strong emphasis on hands on AI and application development
• Advanced AI labs and enterprise learning platforms
• Skill development focused teaching approach
• Startup and incubation support
To nurture competent computer application professionals who are innovative, ethically responsible, and capable of developing intelligent applications that drive digital transformation. The department strives to foster analytical thinking, AI excellence, and lifelong learning to prepare students for leadership in intelligent application development.
High-demand roles across global tech industries
₹5 to 8 LPA
Develop intelligent software applications using AI and machine learning frameworks.
₹5 to 9 LPA
Analyze structured and unstructured data to generate insights using AI driven tools.
₹6 to 10 LPA
Build and optimize machine learning models and integrate them into applications.
₹6 to 10 LPA
Support data modeling, predictive analysis, and AI driven decision systems.
• Build strong foundations in computer applications and programming
• Develop specialized expertise in artificial intelligence and machine learning
• Prepare students for AI driven application development roles
• Deliver an industry aligned curriculum integrating theory with hands on AI projects
• Enhance analytical thinking, problem solving, and innovation skills
• IBM powered and industry aligned AI curriculum
• World class AI and computing infrastructure
• Practical and project driven learning approach
• Expert faculty and industry mentors
• State of the art AI labs and learning platforms
• Faculty with strong academic and industry experience
• Internship opportunities and live AI projects
• Strong placement support and career guidance
• Programming Fundamentals and Data Structures
• Mathematics and Statistics for Artificial Intelligence
• Machine Learning Algorithms and Applications
• Deep Learning Fundamentals
• Data Science and Analytics
• Natural Language Processing Basics
• Computer Vision Concepts
• AI Ethics and Responsible Computing
• Intelligent Application Development
Where Intelligence Meets Innovation
