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The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, deep learning, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning. Tech Artificial Intelligence and Machine Learning is primarily a 4-year undergraduate degree program, provided in the Engineering stream. The student under BTech Artificial Intelligence and Machine Learning is required to write the code of the said machine. This code in essence works as guiding instruction for the machine, they said the machine is performing tasks with less human intervention.
Students pursuing BTech Artificial Intelligence and Machine Learning would be taught Mathematics and Physics in modular forms during their first few semesters, afterwards, the program will shift towards subjects that are at the core of AI. The annual average fees for BTech Artificial Intelligence and Machine Learning stand around 1-2 Lakhs per annum. Supreme companies like Oracle, Wipro, and TCS offer placements to the graduates of this course.
Graduates of B.Tech in artificial intelligence and machine learning are still required and their need is only bound to increase. In order to be eligible for opting for this 4-year undergraduate course, firstly, the student must have cleared their 10+2 Matric exams from a recognized board; secondly, they must have passed their exams with Mathematics and Physics as their compulsory subjects. The last requirement may vary as different institutes have varied cut off and entrance criteria for students.
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. A proficiency in mathematics will prove to be beneficial as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BTech
Study Level
Undergraduate
Study Mode
On Campus
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, deep learning, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning. Tech Artificial Intelligence and Machine Learning is primarily a 4-year undergraduate degree program, provided in the Engineering stream. The student under BTech Artificial Intelligence and Machine Learning is required to write the code of the said machine. This code in essence works as guiding instruction for the machine, they said the machine is performing tasks with less human intervention.
Students pursuing BTech Artificial Intelligence and Machine Learning would be taught Mathematics and Physics in modular forms during their first few semesters, afterwards, the program will shift towards subjects that are at the core of AI. The annual average fees for BTech Artificial Intelligence and Machine Learning stand around 1-2 Lakhs per annum. Supreme companies like Oracle, Wipro, and TCS offer placements to the graduates of this course.
Graduates of B.Tech in artificial intelligence and machine learning are still required and their need is only bound to increase. In order to be eligible for opting for this 4-year undergraduate course, firstly, the student must have cleared their 10+2 Matric exams from a recognized board; secondly, they must have passed their exams with Mathematics and Physics as their compulsory subjects. The last requirement may vary as different institutes have varied cut off and entrance criteria for students.
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. A proficiency in mathematics will prove to be beneficial as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
Admission Requirements
50+
Passed 10+2 examination with Physics and Mathematics as compulsory course and any one course from Chemistry/ Computer Science/Electronics/Information Technology/ Biology/Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/Entrepreneurship. Obtained at least 50% marks in the above 2 compulsory and any one selected (from list of 12) subjects taken together. OR Passed min. 3 years Diploma examination with at least 50% marks
30 Sep 2025
4 Years
Sep
Tuition fees
Domestic
280,000 INR
Domestic (Out of State)
280,000 INR
International
599,000 INR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
CSE/IT- Computer Hardware, Data Structures, Computer Architecture,
Operating System, Computer Networks, Network Security, Software
Engineering, IoT, Cloud computing Web Technology, DBMS, AI as a single
course, Data science as a single course HCI, Compiler, STQA, AWT etc.
Generalized courses-broad spectrum.
Focus on AI and DS as Stream with many subjects- System S/w, DS,
OS, CN, DAA, & DBMS etc. AI as a separate Stream. DS as a separate
Stream. AI and DS in depth coverage with multiple subjects pertaining to
each Stream.
CSE/ IT Engineer- Software developer, Database Administrator,
Information Security Analyst, Full Stack Developer, Computer Systems
Analyst, Network Security Engineer, System Developer, Computer
Programmer, Business Analyst, Network administrator, Computer Network
Architect, Principal Architect etc.
The future is Automation. The scope for AI & DS is tremendous.
There are tremendous job opportunities available in IT sector in India.
Almost every company started AI & DS division.
B. Tech. - CSE - (Artificial Intelligence & Machine Learning)-IBM
GD Goenka University, Gurugram, India
48 monthsProgramme duration
599,000 INRTuition Fee/year
30 Sep, 2025Application Deadline
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BTech
Study Level
Undergraduate
Study Mode
On Campus
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, deep learning, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning. Tech Artificial Intelligence and Machine Learning is primarily a 4-year undergraduate degree program, provided in the Engineering stream. The student under BTech Artificial Intelligence and Machine Learning is required to write the code of the said machine. This code in essence works as guiding instruction for the machine, they said the machine is performing tasks with less human intervention.
Students pursuing BTech Artificial Intelligence and Machine Learning would be taught Mathematics and Physics in modular forms during their first few semesters, afterwards, the program will shift towards subjects that are at the core of AI. The annual average fees for BTech Artificial Intelligence and Machine Learning stand around 1-2 Lakhs per annum. Supreme companies like Oracle, Wipro, and TCS offer placements to the graduates of this course.
Graduates of B.Tech in artificial intelligence and machine learning are still required and their need is only bound to increase. In order to be eligible for opting for this 4-year undergraduate course, firstly, the student must have cleared their 10+2 Matric exams from a recognized board; secondly, they must have passed their exams with Mathematics and Physics as their compulsory subjects. The last requirement may vary as different institutes have varied cut off and entrance criteria for students.
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. A proficiency in mathematics will prove to be beneficial as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
BTech
Study Level
Undergraduate
Study Mode
On Campus
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, deep learning, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning. Tech Artificial Intelligence and Machine Learning is primarily a 4-year undergraduate degree program, provided in the Engineering stream. The student under BTech Artificial Intelligence and Machine Learning is required to write the code of the said machine. This code in essence works as guiding instruction for the machine, they said the machine is performing tasks with less human intervention.
Students pursuing BTech Artificial Intelligence and Machine Learning would be taught Mathematics and Physics in modular forms during their first few semesters, afterwards, the program will shift towards subjects that are at the core of AI. The annual average fees for BTech Artificial Intelligence and Machine Learning stand around 1-2 Lakhs per annum. Supreme companies like Oracle, Wipro, and TCS offer placements to the graduates of this course.
Graduates of B.Tech in artificial intelligence and machine learning are still required and their need is only bound to increase. In order to be eligible for opting for this 4-year undergraduate course, firstly, the student must have cleared their 10+2 Matric exams from a recognized board; secondly, they must have passed their exams with Mathematics and Physics as their compulsory subjects. The last requirement may vary as different institutes have varied cut off and entrance criteria for students.
The course is designed to give the students enough exposure to the variety of applications that can be built using techniques covered under this program. They shall be able to apply AI/ML methods, techniques and tools to the applications. The students shall explore the practical components of developing AI apps and platforms. A proficiency in mathematics will prove to be beneficial as this degree requires strong problem-solving and analytical skills. They shall be able to acquire the ability to design intelligent solutions for various business problems in a variety of domains and business applications. The students shall be exploring fields such as neural networks, natural language processing, robotics, deep learning, computer vision, reasoning and problem-solving. The key objective is to identify logic and reasoning methods from a computational perspective, learn about agent, search, probabilistic models, perception and cognition, and machine learning.
Admission Requirements
Tuition fees
Domestic
Domestic (Out of State)
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
Get answers to all your questions about scholarship applications, including tips on how to find scholarships and chances of success.
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