B. Tech. - CSE - (Artificial Intelligence & Machine Learning)-IBM
48 monthsProgramme duration
599,000 INRTuition Fee/year
30 Sep, 2025Application Deadline
SepStarting Month
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.
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