B Tech Artificial Intelligence Engineering, Fee, Eligibility - Bennett University
Source: https://www.bennett.edu.in/programs/b-tech-artificial-intelligence
Archived: 2026-04-23 17:25
B Tech Artificial Intelligence Engineering, Fee, Eligibility - Bennett University
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B.Tech Artificial Intelligence
B.Tech
Artificial Intelligence
Shaping tomorrow’s Innovators
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B.Tech
Artificial Intelligence
Shaping tomorrow’s Innovators
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Announcement
Applications Open for All UG & PG Programs 2026 | Apply Now
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Why B.Tech AI from
Bennett University
B.Tech in Artificial Intelligence nurtures the next generation of students, with the potential to revolutionize the AI landscape through rigorous training in the aspects of fundamental research and application. The B.Tech AI equips students with comprehensive knowledge of the fundamental mathematical and computational aspects of AI. The program involves practical learning with state-of-the-art AI tools, technologies, and projects, and nurtures an innovation-driven environment through Hackathons and AI Competitions.
Industry Focussed
Lectures by international faculty, and industry experts. 20 % component of each subject is research-focused with industry certification, research papers, start-ups, Hackathons, AI Competitions, and projects with societal impact.
Learn from the Best
90% of faculty with Ph.D.s from IITs and other acclaimed institutions with prior industry experience.
Cutting Edge Research Labs
High-end teaching & research labs with the most advanced equipments and tools for AI research.
Thriving Start-Up Culture
Foster AI start-up culture with the potential to evolve thesis/project into an AI start-up venture
Interdisciplinary Approach
14 specializations in different domains of Agritech, Digital Healthcare, Data Science, Fintech, Legal – Tech, Media, Psychology, Quantum Information Processing, Robotics, Biotech pharma, Environment Sustainability, Material Science, Wireless networks and Signal Processing.
About
About
B.Tech Artificial Intelligence
B.Tech AI program promotes interdisciplinary research in the field of Artificial Intelligence and provides students with a comprehensive understanding of real-world challenges. It emphasizes both theoretical and practical applications of AI, enabling students to apply the latest AI developments and use technology to address pressing issues in fields such as Agritech, Digital Healthcare, Data Science, Fintech, Legal – Tech, Media, Psychology, Quantum Information Processing, Robotics, Biotech pharma, Environment Sustainability, Material Science, Wireless networks and Signal Processing.
Duration
4
Specializations
14
Credits
160
Start Date
August 2026
450+
Companies for Placements
1.37
Cr/Yr.
Highest Package
21.84
LPA
Top 10 Percentile Placements
10
LPA
1 in 3 B.Tech Students Placed Above
4.2
Lac pm
Highest Internship Stipend
Admission Counsellors
Connect with our counsellors for any admissions related queries.
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Fee Structure
Know more about fee structure.
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Scholarship
Know more about Scholarship.
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Fee Structure
2025
Year
Gross Fee (₹)
Exclusive AI Fee Advantage (₹)
Net Payable(₹)
Year 1
4,50,000
25,000
4,25,000
Year 2
4,60,000
50,000
4,10,000
Year 3
4,72,500
72,500
4,00,000
Year 4
4,72,500
87,500
3,85,000
Total (₹)
18,55,000
2,35,000
16,20,000
Exclusive AI Fee Advantage –
To promote the adoption of future-ready AI education, Bennett University is offering a special AI Fee Advantage for students enrolling in the B.Tech (Artificial Intelligence) program along with merit scholarship. This exclusive benefit is designed to make advanced AI learning more accessible while maintaining a strong industry-aligned curriculum. Limited seats available. Offered on a first-come, first-served basis.
View full Fee Structure >>
Scholarship
2025
Scholarship Range
XII (Best of 3)* / CUET
JEE Mains
IB
SAT
100%
>=99
>=95
42
>=1551
75%
97-98.99
93-94.99
41
1501-1550
50%
95-96.99
90-92.99
40
1451-1500
30%
91 – 94.99%
75 – 89.99
37-39
1351-1450
20%
86 – 90.99%
70 – 74.99
34-36
1301-1350
10%
81 – 85.99%
65 – 69.99
31-33
1201-1300
View full Scholarship >>
Curriculum
The B.Tech AI curriculum is designed with a meticulous and interdisciplinary approach to equip students with all the necessary skills and knowledge that are crucial in the field of Artificial Intelligence. By taking a holistic approach, the curriculum covers not only the technical aspects but also the practical applications of these technologies. The curriculum is tailored to meet the industry's demands and prepares students to excel in the rapidly evolving field of Artificial Intelligence .
B.Tech Artificial Intelligence AY 2025-29 –
Click here >>
B.Tech Artificial Intelligence AY 2024-28 –
Click here >>
Specializations
Besides the major subject, the students will have the option of pursuing a minor from the second year in a range of relevant disciplines where the advent of Artificial Intelligence is already making a meaningful impact such as Agri tech, Digital Healthcare, Fin tech, Legal Tech, Biotech Pharma, Media, Digital Psychology, Quantum Information Processing, Robotics, Signal Processing, Material Processing and Data Science
There are a total of 6 courses for the minor, resulting in 18 credits.
Read More >>
Elective Courses
B.Tech Artificial Intelligence offers 4 elective courses, allowing students flexibility according to their interests
Read More >>
Learning Outcomes
Upon completing the B.Tech in AI , students will:
Possess deeper understanding of the mathematical and statistical aspects that form the fundamental pillars of Artificial Intelligence to unravel the “black-box” nature of Artificial Intelligence, to develop responsible and cognizable Artificial Intelligence frameworks.
Master essential Artificial Intelligence concepts, including Machine Learning, Inference Engines, Speech Recognition, Computer Vision, Natural Language Understanding, Robotics, and Human-Computer Interaction.
Integrate human cognition, Artificial Intelligence, and data engineering knowledge to design holistic systems.
Possess the understanding of fundamental aspects of Artificial Intelligence to drive research towards the development of next-generation Artificial Intelligence tools.
Develop real-time, robust Artificial Intelligence-based systems tailored to specific software, hardware, and data constraints.
Careers
They will possess the flexibility to explore diverse fields such as:
Defence
Finance Technology (Fintech)
Healthcare
Agriculture/Food Processing
Education
Retail/Customer Engagement
Human-Robot Interaction/Intelligent Automation
Smart City Development
Accessibility Technology for differently abled
Faculty
More Faculty
Prof. (Dr.) Rajeev Tiwari
Dean, School of Artificial Intelligence
Dr. Manoj Sharma
Ph.D. - IIT Delhi
Dr. Pratyush Pranav
Ph.D. - University of Groningen
Dr. Dinesh Kumar
Ph.D. - University of Coimbra, Portugal
Dr. Shakshi Sharma
Ph.D. - University of Tartu, Estonia
Dr. Neelam Choudhary
Ph.D. - IIT Guwahati
Dr. Navneet Pratap Singh
Ph.D. - IIT Indore
Dr. Yajnaseni Dash
Ph.D. - IIT Delhi
Dr. Gaurav Sharma
Ph.D. - NIT, Hamirpur
Dr. Prateek Yadav
Ph.D.- IIT Delhi
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ELIGIBILITY
B.Tech AI
Eligibility Criteria & Selection Process
Eligibility
Domestic
Passed XII standard from any recognized Education Board with Physics and Mathematics & any other third* subject with minimum 60% marks
OR
IB Board with minimum score of 24 credits, 3 Higher level and 3 standard level subjects.
NRI
Pass with 60% aggrigate marks in grade 12th/ A level or equivalent (with physics & mathematics) and English language requirement (ELR)
Selection
Selection will be based on merit of Class XII Best of 3 subjects score (comprising of Physics and Maths as compulsory subjects and any other third* subject with highest score)
Note :
* Third subject should not be vocational- Music, Dance, Painting, Home Science, Arts, etc
OUR ASK
B.Tech Artificial Intelligence
Frequently Asked Questions
What is the course curriculum of the B.Tech Artificial Intelligence program?
The course curriculum of B.Tech Artificial Intelligence has fine a balance of theoretical research and practical applications, equipping students to leverage and contribute to the state-of-the-art in AI development. The curriculum follows an interdisciplinary approach with the option to choose from 10 minors in different domains.
Each subject in the curriculum has a 20% research-focused component, including industry certifications, research papers, self-learning, start-ups, and projects with societal impact. Overall, this comprehensive approach equips students with the skills and knowledge needed to succeed in the rapidly-evolving field of AI.
What are the career prospects after completing B.Tech AI ?
Graduates of B.Tech Artificial Intelligence are in high demand across different industries. AI graduates can be recruited in IT, Finance, Gaming, VR industries, to name a few. The demand for AI professionals is growing rapidly as industries are integrating AI in their processes. Some of the popular career choices are Data Scientist, Machine Learning Engineer, Robotics Engineer, AI Researcher, Software Developer, and Business Intelligence Developer, Software Engineer, NLP Engineer, Big Data Scientist, Business Intelligence Developer, to name a few.
What are the skills required to excel in the B. Tech AI program?
To excel in the B. Tech Artificial Intelligence program, students should have strong analytical skills, problem-solving ability, critical thinking, and creativity. Additionally, proficiency in programming languages like Python and C++, knowledge of machine learning algorithms, data structures, and computer vision concepts are essential.
Is it necessary to have a background in Computer Science to pursue B.Tech AI ?
Having a background in Computer Science is not necessarily a requirement to pursue a B.Tech in Artificial Intelligence. However, it could be beneficial to have some foundational knowledge in programming, algorithms, and data structures.
What is the difference between B.Tech Artificial Intelligence and B.Tech Computer Science?
B.Tech AI and B.Tech Computer Science are two different academic programs with distinct focuses. B.Tech AI primarily deals with the study of intelligent agents, which includes computer programs that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. On the other hand, B.Tech Computer Science (CS) is an interdisciplinary field that involves the study of computer systems, software engineering, programming languages, algorithms, and data structures. While both programs have some overlap in their coursework, B.Tech AI focuses more on specialized topics such as machine learning, robotics, natural language processing, and cognitive computing, while B.Tech CSE covers a broader range of topics that include software development, database systems, networking, and computer architecture. Ultimately, the choice between these two programs depends on student’s interests and career goals.
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B.Tech Artificial Intelligence
B.Tech
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Shaping tomorrow’s Innovators
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Shaping tomorrow’s Innovators
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Announcement
Applications Open for All UG & PG Programs 2026 | Apply Now
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Why B.Tech AI from
Bennett University
B.Tech in Artificial Intelligence nurtures the next generation of students, with the potential to revolutionize the AI landscape through rigorous training in the aspects of fundamental research and application. The B.Tech AI equips students with comprehensive knowledge of the fundamental mathematical and computational aspects of AI. The program involves practical learning with state-of-the-art AI tools, technologies, and projects, and nurtures an innovation-driven environment through Hackathons and AI Competitions.
Industry Focussed
Lectures by international faculty, and industry experts. 20 % component of each subject is research-focused with industry certification, research papers, start-ups, Hackathons, AI Competitions, and projects with societal impact.
Learn from the Best
90% of faculty with Ph.D.s from IITs and other acclaimed institutions with prior industry experience.
Cutting Edge Research Labs
High-end teaching & research labs with the most advanced equipments and tools for AI research.
Thriving Start-Up Culture
Foster AI start-up culture with the potential to evolve thesis/project into an AI start-up venture
Interdisciplinary Approach
14 specializations in different domains of Agritech, Digital Healthcare, Data Science, Fintech, Legal – Tech, Media, Psychology, Quantum Information Processing, Robotics, Biotech pharma, Environment Sustainability, Material Science, Wireless networks and Signal Processing.
About
About
B.Tech Artificial Intelligence
B.Tech AI program promotes interdisciplinary research in the field of Artificial Intelligence and provides students with a comprehensive understanding of real-world challenges. It emphasizes both theoretical and practical applications of AI, enabling students to apply the latest AI developments and use technology to address pressing issues in fields such as Agritech, Digital Healthcare, Data Science, Fintech, Legal – Tech, Media, Psychology, Quantum Information Processing, Robotics, Biotech pharma, Environment Sustainability, Material Science, Wireless networks and Signal Processing.
Duration
4
Specializations
14
Credits
160
Start Date
August 2026
450+
Companies for Placements
1.37
Cr/Yr.
Highest Package
21.84
LPA
Top 10 Percentile Placements
10
LPA
1 in 3 B.Tech Students Placed Above
4.2
Lac pm
Highest Internship Stipend
Admission Counsellors
Connect with our counsellors for any admissions related queries.
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Fee Structure
Know more about fee structure.
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Scholarship
Know more about Scholarship.
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Fee Structure
2025
Year
Gross Fee (₹)
Exclusive AI Fee Advantage (₹)
Net Payable(₹)
Year 1
4,50,000
25,000
4,25,000
Year 2
4,60,000
50,000
4,10,000
Year 3
4,72,500
72,500
4,00,000
Year 4
4,72,500
87,500
3,85,000
Total (₹)
18,55,000
2,35,000
16,20,000
Exclusive AI Fee Advantage –
To promote the adoption of future-ready AI education, Bennett University is offering a special AI Fee Advantage for students enrolling in the B.Tech (Artificial Intelligence) program along with merit scholarship. This exclusive benefit is designed to make advanced AI learning more accessible while maintaining a strong industry-aligned curriculum. Limited seats available. Offered on a first-come, first-served basis.
View full Fee Structure >>
Scholarship
2025
Scholarship Range
XII (Best of 3)* / CUET
JEE Mains
IB
SAT
100%
>=99
>=95
42
>=1551
75%
97-98.99
93-94.99
41
1501-1550
50%
95-96.99
90-92.99
40
1451-1500
30%
91 – 94.99%
75 – 89.99
37-39
1351-1450
20%
86 – 90.99%
70 – 74.99
34-36
1301-1350
10%
81 – 85.99%
65 – 69.99
31-33
1201-1300
View full Scholarship >>
Curriculum
The B.Tech AI curriculum is designed with a meticulous and interdisciplinary approach to equip students with all the necessary skills and knowledge that are crucial in the field of Artificial Intelligence. By taking a holistic approach, the curriculum covers not only the technical aspects but also the practical applications of these technologies. The curriculum is tailored to meet the industry's demands and prepares students to excel in the rapidly evolving field of Artificial Intelligence .
B.Tech Artificial Intelligence AY 2025-29 –
Click here >>
B.Tech Artificial Intelligence AY 2024-28 –
Click here >>
Specializations
Besides the major subject, the students will have the option of pursuing a minor from the second year in a range of relevant disciplines where the advent of Artificial Intelligence is already making a meaningful impact such as Agri tech, Digital Healthcare, Fin tech, Legal Tech, Biotech Pharma, Media, Digital Psychology, Quantum Information Processing, Robotics, Signal Processing, Material Processing and Data Science
There are a total of 6 courses for the minor, resulting in 18 credits.
Read More >>
Elective Courses
B.Tech Artificial Intelligence offers 4 elective courses, allowing students flexibility according to their interests
Read More >>
Learning Outcomes
Upon completing the B.Tech in AI , students will:
Possess deeper understanding of the mathematical and statistical aspects that form the fundamental pillars of Artificial Intelligence to unravel the “black-box” nature of Artificial Intelligence, to develop responsible and cognizable Artificial Intelligence frameworks.
Master essential Artificial Intelligence concepts, including Machine Learning, Inference Engines, Speech Recognition, Computer Vision, Natural Language Understanding, Robotics, and Human-Computer Interaction.
Integrate human cognition, Artificial Intelligence, and data engineering knowledge to design holistic systems.
Possess the understanding of fundamental aspects of Artificial Intelligence to drive research towards the development of next-generation Artificial Intelligence tools.
Develop real-time, robust Artificial Intelligence-based systems tailored to specific software, hardware, and data constraints.
Careers
They will possess the flexibility to explore diverse fields such as:
Defence
Finance Technology (Fintech)
Healthcare
Agriculture/Food Processing
Education
Retail/Customer Engagement
Human-Robot Interaction/Intelligent Automation
Smart City Development
Accessibility Technology for differently abled
Faculty
More Faculty
Prof. (Dr.) Rajeev Tiwari
Dean, School of Artificial Intelligence
Dr. Manoj Sharma
Ph.D. - IIT Delhi
Dr. Pratyush Pranav
Ph.D. - University of Groningen
Dr. Dinesh Kumar
Ph.D. - University of Coimbra, Portugal
Dr. Shakshi Sharma
Ph.D. - University of Tartu, Estonia
Dr. Neelam Choudhary
Ph.D. - IIT Guwahati
Dr. Navneet Pratap Singh
Ph.D. - IIT Indore
Dr. Yajnaseni Dash
Ph.D. - IIT Delhi
Dr. Gaurav Sharma
Ph.D. - NIT, Hamirpur
Dr. Prateek Yadav
Ph.D.- IIT Delhi
BENNETT.EDU.IN
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Bennett University brings international exposure to students. Our strategic collaborations ensure that our students get a glimpse of global education practices.
ELIGIBILITY
B.Tech AI
Eligibility Criteria & Selection Process
Eligibility
Domestic
Passed XII standard from any recognized Education Board with Physics and Mathematics & any other third* subject with minimum 60% marks
OR
IB Board with minimum score of 24 credits, 3 Higher level and 3 standard level subjects.
NRI
Pass with 60% aggrigate marks in grade 12th/ A level or equivalent (with physics & mathematics) and English language requirement (ELR)
Selection
Selection will be based on merit of Class XII Best of 3 subjects score (comprising of Physics and Maths as compulsory subjects and any other third* subject with highest score)
Note :
* Third subject should not be vocational- Music, Dance, Painting, Home Science, Arts, etc
OUR ASK
B.Tech Artificial Intelligence
Frequently Asked Questions
What is the course curriculum of the B.Tech Artificial Intelligence program?
The course curriculum of B.Tech Artificial Intelligence has fine a balance of theoretical research and practical applications, equipping students to leverage and contribute to the state-of-the-art in AI development. The curriculum follows an interdisciplinary approach with the option to choose from 10 minors in different domains.
Each subject in the curriculum has a 20% research-focused component, including industry certifications, research papers, self-learning, start-ups, and projects with societal impact. Overall, this comprehensive approach equips students with the skills and knowledge needed to succeed in the rapidly-evolving field of AI.
What are the career prospects after completing B.Tech AI ?
Graduates of B.Tech Artificial Intelligence are in high demand across different industries. AI graduates can be recruited in IT, Finance, Gaming, VR industries, to name a few. The demand for AI professionals is growing rapidly as industries are integrating AI in their processes. Some of the popular career choices are Data Scientist, Machine Learning Engineer, Robotics Engineer, AI Researcher, Software Developer, and Business Intelligence Developer, Software Engineer, NLP Engineer, Big Data Scientist, Business Intelligence Developer, to name a few.
What are the skills required to excel in the B. Tech AI program?
To excel in the B. Tech Artificial Intelligence program, students should have strong analytical skills, problem-solving ability, critical thinking, and creativity. Additionally, proficiency in programming languages like Python and C++, knowledge of machine learning algorithms, data structures, and computer vision concepts are essential.
Is it necessary to have a background in Computer Science to pursue B.Tech AI ?
Having a background in Computer Science is not necessarily a requirement to pursue a B.Tech in Artificial Intelligence. However, it could be beneficial to have some foundational knowledge in programming, algorithms, and data structures.
What is the difference between B.Tech Artificial Intelligence and B.Tech Computer Science?
B.Tech AI and B.Tech Computer Science are two different academic programs with distinct focuses. B.Tech AI primarily deals with the study of intelligent agents, which includes computer programs that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation. On the other hand, B.Tech Computer Science (CS) is an interdisciplinary field that involves the study of computer systems, software engineering, programming languages, algorithms, and data structures. While both programs have some overlap in their coursework, B.Tech AI focuses more on specialized topics such as machine learning, robotics, natural language processing, and cognitive computing, while B.Tech CSE covers a broader range of topics that include software development, database systems, networking, and computer architecture. Ultimately, the choice between these two programs depends on student’s interests and career goals.
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