FUTURE Scholarship registrations closing on
15th December 2025

Apply Now !
B.Tech. Computer Science Engineering specialization in Artificial Intelligence

B.Tech. Computer Science Engineering specialization in Artificial Intelligence

The Bachelor of Computer Application in Artificial Intelligence program is a cutting edge three year undergraduate journey designed to develop future ready professionals skilled in intelligent syst...

Apply Now
APPLY TODAY FOR

B.Tech. Computer Science Engineering specialization in Artificial Intelligence

+91

About the Program

The Bachelor of Technology in Artificial Intelligence is a future focused four year undergraduate journey designed to develop engineers who can build intelligent systems that learn, reason, and adapt. The program integrates strong computer science foundations with advanced artificial intelligence technologies to meet the growing global demand for AI driven innovation.

Eligibility & Fee Details

Candidates must have successfully completed the Intermediate ten plus two examination with Physics and Mathematics as compulsory subjects, securing the required qualifying marks as per applicable guidelines.

Program Fee Amount Program Duration
Annual 580000/- INR 4.0 Years
Fees Structure (Yearly) Amount
1st Year Annual 130000/- INR
2nd Year Annual 140000/- INR
3rd Year Annual 150000/ - INR
4rd Year Annual 160000/ - INR

 

Future University Placements

Admission Procedure

Future university Bachelor of Technology in Artificial Intelligence admission is based on merit and F-STAR scores.

Category Scholarship Percentile
F-STAR
(Future University Scholership Test for Academic Recognition) 
100% of Tuition Fee Percentile > 90
50% of Tuition Fee Percentile 80 - 89.99
30% of Tuition Fee Percentile 75 - 79.99
20% of Tuition Fee Percentile 70 - 74.99

 

What Makes Future University Unique?

Future University stands apart through its AI focused engineering education, strong emphasis on practical innovation, and commitment to ethical and responsible AI development. With modern infrastructure, industry exposure, and structured placement support, the university prepares students to become confident artificial intelligence professionals.

• Industry aligned artificial intelligence curriculum
• Strong focus on hands on AI and machine learning projects
• Advanced AI labs and computing infrastructure
• Skill development focused teaching approach
• Startup and incubation support

Vision Background

Vision of the Department

To nurture competent artificial intelligence engineers who are innovative, ethically responsible, and capable of designing intelligent systems that drive digital transformation and societal progress. The department strives to foster technical excellence, analytical thinking, and lifelong learning to prepare students for leadership in AI driven domains.

Career Opportunities

High-demand roles across global tech industries

Artificial Intelligence Engineer

₹6 to 12 LPA

Design, develop, and deploy intelligent systems using machine learning and AI frameworks.

Machine Learning Engineer

₹7 to 14 LPA

Build predictive models, optimize algorithms, and deploy scalable machine learning solutions.

Data Scientist

₹8 to 16 LPA

Analyze complex datasets and derive actionable insights using advanced analytics and AI techniques.

AI Solutions Developer

₹7 to 13 LPA

Develop intelligent applications integrating AI models with enterprise platforms and systems

Top Recruiter Companies

Program Objectives

• Build strong foundations in computer science and artificial intelligence
• Develop specialized expertise in machine learning and intelligent systems
• Prepare students for AI driven careers and research oriented roles
• Deliver an industry aligned curriculum integrating theory with hands on AI projects
• Enhance analytical thinking, innovation capability, and ethical responsibility

Why Choose B.Tech. Computer Science Engineering specialization in Artificial Intelligence at Future University?

• Industry aligned artificial intelligence curriculum
• World class AI and computing infrastructure
• Practical and project driven learning approach
• Expert faculty and AI professionals as mentors
• State of the art AI laboratories and tools
• Faculty with strong academic and industry experience
• Internship opportunities and live AI projects
• Strong placement support and career guidance

Key Study Areas

• Programming and Data Structures
• Mathematics and Statistics for Artificial Intelligence
• Machine Learning and Deep Learning
• Neural Networks and Intelligent Systems
• Natural Language Processing
• Computer Vision and Image Analytics
• Data Science and Big Data Analytics
• AI Ethics and Responsible Computing
• AI Deployment and Real World Applications

Admissions Open – 2026

Begin your journey towards a future-ready career in technology

Apply Now

AI at the Core

Where Intelligence Meets Innovation