B.Tech in Computer Science Engineering (Artificial Intelligence & Machine Learning) is a 4-year undergraduate engineering program that focuses on the design, development, and application of Artificial Intelligence (AI) and Machine Learning (ML) technologies. The program combines core computer science subjects with specialized courses in AI, deep learning, data science, neural networks, natural language processing (NLP), computer vision, robotics, and intelligent systems.
The curriculum integrates theoretical knowledge with hands-on laboratory sessions, coding projects, internships, industry training, and research-based learning. Students develop expertise in programming, algorithms, predictive analytics, cloud computing, big data, and AI model development, preparing them for careers in technology companies, research organizations, startups, and multinational corporations.
B.Tech in Computer Science Engineering (Artificial Intelligence & Machine Learning) is a 4-year undergraduate engineering program that focuses on the design, development, and application of Artificial Intelligence (AI) and Machine Learning (ML) technologies. The program combines core computer science subjects with specialized courses in AI, deep learning, data science, neural networks, natural language processing (NLP), computer vision, robotics, and intelligent systems.
The curriculum integrates theoretical knowledge with hands-on laboratory sessions, coding projects, internships, industry training, and research-based learning. Students develop expertise in programming, algorithms, predictive analytics, cloud computing, big data, and AI model development, preparing them for careers in technology companies, research organizations, startups, and multinational corporations.
Admission may be based on:
Qualified candidates participate in the counseling process for seat allotment.
Candidates submit original documents for verification.
After successful verification, candidates pay the admission fee to confirm their admission.
Candidates must generally fulfill the following requirements:
The curriculum includes:
A B.Tech in Computer Science Engineering (Artificial Intelligence & Machine Learning) offers excellent career opportunities in software development, artificial intelligence, machine learning, data science, cloud computing, automation, and research.
The syllabus generally includes the following subjects:
Graduates are recruited by IT companies, AI startups, cloud computing companies, software firms, e-commerce companies, banking and financial institutions, healthcare technology companies, research organizations, and government technology departments.
Yes. Graduates are trained in AI, Machine Learning, Data Science, Deep Learning, NLP, Computer Vision, predictive analytics, and intelligent automation, making them highly employable across diverse industries.
Yes. B.Tech CSE (Artificial Intelligence & Machine Learning) is one of the most sought-after engineering programs due to the growing demand for AI professionals. It offers excellent career opportunities, high salary potential, global employment prospects, and strong opportunities for innovation and research.
B.Tech in Computer Science Engineering (Artificial Intelligence & Machine Learning) is a 4-year undergraduate engineering program that focuses on Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Computer Vision, Natural Language Processing, and intelligent software systems.
Candidates must have passed 10+2 with Physics, Chemistry, and Mathematics (PCM) from a recognized board and meet the minimum qualifying marks prescribed by the respective institution. Admission is generally based on JEE Main, JEE Advanced, state-level entrance examinations, university entrance tests, or merit, depending on the institution.
Not always. While many engineering colleges accept JEE Main scores, several private universities conduct their own entrance examinations or offer admission based on merit.
The program has a duration of 4 years (8 semesters), including classroom learning, laboratory practicals, internships, industrial training, and major projects.
The curriculum generally includes Programming, Data Structures, Algorithms, Database Management Systems, Operating Systems, Artificial Intelligence, Machine Learning, Deep Learning, Data Science, Computer Vision, Natural Language Processing (NLP), Cloud Computing, Big Data Analytics, and Internet of Things (IoT).
Graduates can work as AI Engineers, Machine Learning Engineers, Data Scientists, Software Developers, Data Analysts, Computer Vision Engineers, NLP Engineers, Robotics Engineers, Cloud Engineers, Business Intelligence Developers, and AI Research Engineers.
Yes. Graduates can pursue M.Tech, MS, MBA, MCA (where eligible), or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related disciplines.