M.Tech Artificial Intelligence - Bennett University
Source: https://www.bennett.edu.in/programs/m-tech-artificial-intelligence
Archived: 2026-04-23 17:10
M.Tech Artificial Intelligence - Bennett University
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M.Tech Artificial Intelligence
M.Tech
Artificial Intelligence
AI is the Future - Be the Mind Behind It
Apply Now
M.Tech
Artificial Intelligence
AI is the Future - Be the Mind Behind It
Apply Now
About M.Tech Artificial Intelligence & Machine Learning
M. Tech
Artificial Intelligence
The M. Tech Program at the School of Artificial Intelligence prepares a vibrant community of students and researchers passionate about leveraging artificial intelligence to revolutionize the world we live in. Through state-of-the-art facilities, dynamic research prospects, robust industry collaborations, advanced curriculum, and hands-on learning experiences, Bennett University empowers students with the knowledge, expertise, and ethical grounding essential for thriving in today’s dynamic landscape. As AI transforms industries worldwide, M. Tech Artificial Intelligence program at Bennett University opens doors to dynamic careers in tech, healthcare, finance, and more—making it a smart choice for a future-ready, high-impact profession.
Duration
2 Years
Specializations
4
Credits
80
Start Date
July 2026
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Program
Objectives
The M. Tech program in Artificial Intelligence and Machine Learning will help students learn about AI technologies and their usage in the real world. The program combines theoretical knowledge with hands-on experience, preparing graduates for impactful careers in various industries and research domains.
The students will be well-equipped for careers in both industry and academia. They will have the flexibility to delve into various domains such as Defence, Fintech, Healthcare, Agriculture/Food Processing, Education, Retail/Customer Engagement, Human and Robot Interaction/Intelligent Automation, Smart City development, and Aid for Differently Abled/Accessibility Technology.
Learning
Outcomes
Master the essentials of Artificial Intelligence, including Machine Learning, Inference Engines, Speech, Vision, Natural Language Understanding, Robotics, and Human-Computer Interaction.
Integrate knowledge of human cognition, AI, Machine Learning, and data engineering to design comprehensive systems.
Apply hands-on expertise with cutting-edge AI tools for practical problem-solving.
Develop real-time and resilient AI-based systems tailored to specific software, hardware, and data requirements.
Execute projects utilising intelligent cognitive solutions provided by AI algorithms, gaining insights into stakeholder management, risk modelling, intelligent resource scheduling, and managing project constraints through intelligent use of data models.
Post-program
Skills
Design, develop, and deploy machine learning-based applications utilising both structured and unstructured data (e.g., speech, text, images/videos).
Design and develop AI applications tailored for resource-constrained environments.
Grasp fundamental concepts and gain hands-on knowledge about the state-of-the-art cutting-edge AI methodologies.
Understand and evaluate the reliability, dependability, and trustworthiness of AI-based systems.
Design and construct real-world AI systems for intricate planning, decision-making, and learning.
Adhere to evolving ethics and privacy laws in diverse domains and territories.
Plan and manage technical projects effectively.
Curriculum Highlights
Strong blend of theory and practice aligned with the need of industry and academia
Research Focused (20 % research component in every AI course) on real world problems for enhanced employability
Diverse Professional Specialization (Computer Vision, NLP, Robotics, & Signal Processing)
Personalised mentorship by leading academia and industry experts
Curriculum Details
The M. Tech Artificial Intelligence curriculum is NEP compliant and industry oriented. The curriculum focuses on the state-of-the-art subjects, experiential learning, and code-based learning.
M.Tech AI Curriculum 2025-27
Specialization
Computer vision
NLP
Robotics
Signal Processing
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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ELIGIBILITY
M.Tech Artificial Intelligence
Eligibility Criteria & Selection Process
Eligibility Criteria
Domestic
Bachelor’s degree in Engineering/Technology or equivalent of MCA/M.Sc. or related disciplines with minimum 60% marks.
NRI
The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Selection Process
Selection will be based on Aggregate Graduation Percentage.
OUR ASK
M.Tech Artificial Intelligence
Frequently Asked Questions
What does the M. Tech program in Artificial Intelligence offer?
This program is designed for individuals seeking to explore artificial intelligence at an advanced level. It combines strong theoretical foundations with practical, hands-on learning. Whether you're interested in developing intelligent systems, pursuing cutting-edge research, or building a career in industry, the curriculum equips you with the skills and mindset needed to thrive in today’s AI-driven world.
Who can apply for the M. Tech Artificial Intellgence program at Bennett University?
Applicants must hold a B.E., B. Tech, or an equivalent degree in Computer Science, Artificial Intelligence, Information Technology, Electronics, or related fields.
A GATE score is not mandatory; however, a good score may strengthen your application, particularly for scholarships or merit-based admissions.
Why should I consider the M. Tech in Artificial Intellgence program?
Here’s what sets this program apart:
Work with real datasets, tools, and technologies used in the AI industry.
Learn from experienced faculty, including industry professionals and active researchers.
Access support for internships, placements, and research collaborations.
Engage in paper publishing, conference participation, and professional networking.
What career options are available after completing M. Tech Artificial Intelligence Program?
After completing the program, you may be equipped to take a wide range of roles such as:
AI/ML Engineer
Data Scientist
Robotics or NLP Engineer
AI Product Manager
Researcher or Ph.D. Scholar
AI is now a key part of many sectors — from healthcare and finance to space research and autonomous systems — offering graduates a wide range of opportunities.
Is the M. Tech Artificial Intelligence program suitable for research or a Ph. D. path?
Absolutely. The curriculum includes research components that prepare you for academic writing, methodology, and publishing. Many students go on to pursue Ph.D. programs in AI, robotics, or interdisciplinary areas, both in India and internationally.
Are internships and placements part of the program?
Yes, Bennett University offers strong placement and internship support. Students get access to live industry projects, research labs, and opportunities to collaborate with leading companies and institutions.
What is the duration of the M. Tech Artificial Intelligence program, and how is it delivered?
This is a two-year, full-time program. Teaching includes a blend of classroom lectures, lab sessions, projects, seminars, and research presentations. Emphasis is placed on applying concepts to solve real-world problems.
Does the M. Tech Artificial Intelligence program offer international exposure?
Yes, through collaborations with global universities and institutions, students can participate in exchange programs, joint research projects, and, in some cases, international internships.
Is AI Ethics included in the M. Tech Artificial Intelligence curriculum?
Yes, a dedicated course on AI Ethics is part of the curriculum, covering crucial topics like algorithmic bias, fairness, accountability, privacy, and responsible AI development — all of which are essential in today’s technology landscape.
How do I Apply for the M. Tech Artificial Intelligence program?
Applying to M. Tech Artificial Intelligence program at Bennett University is quick and easy. To apply for the admission, all you need is to share your details (takes less than a minute) and our team will get back you. Click here to apply:
https://applications.bennett.edu.in/bu
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M.Tech Artificial Intelligence
M.Tech
Artificial Intelligence
AI is the Future - Be the Mind Behind It
Apply Now
M.Tech
Artificial Intelligence
AI is the Future - Be the Mind Behind It
Apply Now
About M.Tech Artificial Intelligence & Machine Learning
M. Tech
Artificial Intelligence
The M. Tech Program at the School of Artificial Intelligence prepares a vibrant community of students and researchers passionate about leveraging artificial intelligence to revolutionize the world we live in. Through state-of-the-art facilities, dynamic research prospects, robust industry collaborations, advanced curriculum, and hands-on learning experiences, Bennett University empowers students with the knowledge, expertise, and ethical grounding essential for thriving in today’s dynamic landscape. As AI transforms industries worldwide, M. Tech Artificial Intelligence program at Bennett University opens doors to dynamic careers in tech, healthcare, finance, and more—making it a smart choice for a future-ready, high-impact profession.
Duration
2 Years
Specializations
4
Credits
80
Start Date
July 2026
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Connect with our counsellors for any admissions related queries.
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Program
Objectives
The M. Tech program in Artificial Intelligence and Machine Learning will help students learn about AI technologies and their usage in the real world. The program combines theoretical knowledge with hands-on experience, preparing graduates for impactful careers in various industries and research domains.
The students will be well-equipped for careers in both industry and academia. They will have the flexibility to delve into various domains such as Defence, Fintech, Healthcare, Agriculture/Food Processing, Education, Retail/Customer Engagement, Human and Robot Interaction/Intelligent Automation, Smart City development, and Aid for Differently Abled/Accessibility Technology.
Learning
Outcomes
Master the essentials of Artificial Intelligence, including Machine Learning, Inference Engines, Speech, Vision, Natural Language Understanding, Robotics, and Human-Computer Interaction.
Integrate knowledge of human cognition, AI, Machine Learning, and data engineering to design comprehensive systems.
Apply hands-on expertise with cutting-edge AI tools for practical problem-solving.
Develop real-time and resilient AI-based systems tailored to specific software, hardware, and data requirements.
Execute projects utilising intelligent cognitive solutions provided by AI algorithms, gaining insights into stakeholder management, risk modelling, intelligent resource scheduling, and managing project constraints through intelligent use of data models.
Post-program
Skills
Design, develop, and deploy machine learning-based applications utilising both structured and unstructured data (e.g., speech, text, images/videos).
Design and develop AI applications tailored for resource-constrained environments.
Grasp fundamental concepts and gain hands-on knowledge about the state-of-the-art cutting-edge AI methodologies.
Understand and evaluate the reliability, dependability, and trustworthiness of AI-based systems.
Design and construct real-world AI systems for intricate planning, decision-making, and learning.
Adhere to evolving ethics and privacy laws in diverse domains and territories.
Plan and manage technical projects effectively.
Curriculum Highlights
Strong blend of theory and practice aligned with the need of industry and academia
Research Focused (20 % research component in every AI course) on real world problems for enhanced employability
Diverse Professional Specialization (Computer Vision, NLP, Robotics, & Signal Processing)
Personalised mentorship by leading academia and industry experts
Curriculum Details
The M. Tech Artificial Intelligence curriculum is NEP compliant and industry oriented. The curriculum focuses on the state-of-the-art subjects, experiential learning, and code-based learning.
M.Tech AI Curriculum 2025-27
Specialization
Computer vision
NLP
Robotics
Signal Processing
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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Recruiters
ELIGIBILITY
M.Tech Artificial Intelligence
Eligibility Criteria & Selection Process
Eligibility Criteria
Domestic
Bachelor’s degree in Engineering/Technology or equivalent of MCA/M.Sc. or related disciplines with minimum 60% marks.
NRI
The eligibility criterion for all programs for international applicants is minimum 50% in the qualifying examination and having studied the pre-requisite subjects for admission in to the desired program.
Selection Process
Selection will be based on Aggregate Graduation Percentage.
OUR ASK
M.Tech Artificial Intelligence
Frequently Asked Questions
What does the M. Tech program in Artificial Intelligence offer?
This program is designed for individuals seeking to explore artificial intelligence at an advanced level. It combines strong theoretical foundations with practical, hands-on learning. Whether you're interested in developing intelligent systems, pursuing cutting-edge research, or building a career in industry, the curriculum equips you with the skills and mindset needed to thrive in today’s AI-driven world.
Who can apply for the M. Tech Artificial Intellgence program at Bennett University?
Applicants must hold a B.E., B. Tech, or an equivalent degree in Computer Science, Artificial Intelligence, Information Technology, Electronics, or related fields.
A GATE score is not mandatory; however, a good score may strengthen your application, particularly for scholarships or merit-based admissions.
Why should I consider the M. Tech in Artificial Intellgence program?
Here’s what sets this program apart:
Work with real datasets, tools, and technologies used in the AI industry.
Learn from experienced faculty, including industry professionals and active researchers.
Access support for internships, placements, and research collaborations.
Engage in paper publishing, conference participation, and professional networking.
What career options are available after completing M. Tech Artificial Intelligence Program?
After completing the program, you may be equipped to take a wide range of roles such as:
AI/ML Engineer
Data Scientist
Robotics or NLP Engineer
AI Product Manager
Researcher or Ph.D. Scholar
AI is now a key part of many sectors — from healthcare and finance to space research and autonomous systems — offering graduates a wide range of opportunities.
Is the M. Tech Artificial Intelligence program suitable for research or a Ph. D. path?
Absolutely. The curriculum includes research components that prepare you for academic writing, methodology, and publishing. Many students go on to pursue Ph.D. programs in AI, robotics, or interdisciplinary areas, both in India and internationally.
Are internships and placements part of the program?
Yes, Bennett University offers strong placement and internship support. Students get access to live industry projects, research labs, and opportunities to collaborate with leading companies and institutions.
What is the duration of the M. Tech Artificial Intelligence program, and how is it delivered?
This is a two-year, full-time program. Teaching includes a blend of classroom lectures, lab sessions, projects, seminars, and research presentations. Emphasis is placed on applying concepts to solve real-world problems.
Does the M. Tech Artificial Intelligence program offer international exposure?
Yes, through collaborations with global universities and institutions, students can participate in exchange programs, joint research projects, and, in some cases, international internships.
Is AI Ethics included in the M. Tech Artificial Intelligence curriculum?
Yes, a dedicated course on AI Ethics is part of the curriculum, covering crucial topics like algorithmic bias, fairness, accountability, privacy, and responsible AI development — all of which are essential in today’s technology landscape.
How do I Apply for the M. Tech Artificial Intelligence program?
Applying to M. Tech Artificial Intelligence program at Bennett University is quick and easy. To apply for the admission, all you need is to share your details (takes less than a minute) and our team will get back you. Click here to apply:
https://applications.bennett.edu.in/bu
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