BTech (CSE) Machine Learning and Artificial Intelligence
Learn about the BTech (CSE) in Machine Learning and AI. Get details on application forms, entrance exams, colleges, salary packages, and career scope.
Course Overview
BTech (CSE) Machine Learning and Artificial Intelligence
This program focuses on providing students with a strong foundation in Computer Science and Engineering (CSE) with specialized knowledge in Machine Learning and Artificial Intelligence. Students learn about algorithms, data structures, programming languages, and computer systems along with advanced topics in machine learning and artificial intelligence. The curriculum typically includes courses such as data mining, neural networks, natural language processing, robotics, and computer vision. Graduates of this program are equipped to pursue careers in fields such as data science, artificial intelligence research, machine learning engineering, and more.
CSE Machine Learning
CSE Machine Learning refers to the application of machine learning techniques in the field of computer science and engineering. It involves developing algorithms and models that enable computers to learn from and make predictions or decisions based on data without being explicitly programmed.
Artificial Intelligence
Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. It involves the creation of algorithms and models that can perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language translation.
Eligibility Criteria for BTech (CSE) in Machine Learning and Artificial Intelligence in India
Educational Qualifications: Candidates must have completed 10+2 or equivalent from a recognized board.
Minimum Marks: Typically, a minimum aggregate of 50-60% in PCM (Physics, Chemistry, Mathematics) is required.
Entrance Exams: Admission may be based on national/state-level entrance exams such as JEE Main, BITSAT, or specific university entrance exams.
Merit-Based Selection: Some colleges may also consider merit-based selection criteria in addition to entrance exam scores.
Age Limit: Generally, candidates should be within a certain age limit, usually between 17 to 25 years.
Nationality: Indian nationality is usually required for admission.
Specific Requirements: Some institutions may have specific requirements related to subjects studied in 10+2 or additional entrance exams.
Note: Eligibility criteria can vary between colleges and universities, so it is advisable to check with the specific institutions for detailed requirements.