B.Tech in Machine Learning (B.Tech-ML) is a 4-year undergraduate engineering program that focuses on the development of intelligent systems capable of learning from data, recognizing patterns, making predictions, and automating decision-making processes. The program combines computer science, mathematics, statistics, artificial intelligence, deep learning, data science, and cloud computing to prepare students for careers in next-generation technologies.
The curriculum integrates theoretical concepts with programming laboratories, AI model development, industry projects, internships, and research-based learning. Students gain expertise in machine learning algorithms, deep learning, neural networks, computer vision, natural language processing (NLP), big data analytics, reinforcement learning, and intelligent automation. Graduates are prepared for careers in technology companies, AI startups, finance, healthcare, robotics, manufacturing, and research organizations
B.Tech in Machine Learning (B.Tech-ML) is a 4-year undergraduate engineering program that focuses on the development of intelligent systems capable of learning from data, recognizing patterns, making predictions, and automating decision-making processes. The program combines computer science, mathematics, statistics, artificial intelligence, deep learning, data science, and cloud computing to prepare students for careers in next-generation technologies.
The curriculum integrates theoretical concepts with programming laboratories, AI model development, industry projects, internships, and research-based learning. Students gain expertise in machine learning algorithms, deep learning, neural networks, computer vision, natural language processing (NLP), big data analytics, reinforcement learning, and intelligent automation. Graduates are prepared for careers in technology companies, AI startups, finance, healthcare, robotics, manufacturing, and research organizations
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 Machine Learning offers outstanding career opportunities in artificial intelligence, machine learning, data science, automation, robotics, cloud computing, and intelligent software development.
The syllabus generally includes the following subjects:
B.Tech in Machine Learning (B.Tech-ML) is a 4-year undergraduate engineering program that focuses on Machine Learning, Artificial Intelligence, Deep Learning, Data Science, Computer Vision, Natural Language Processing (NLP), and intelligent automation to build systems capable of learning from data and making intelligent decisions.
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.
Not always. While many engineering colleges accept JEE Main scores, several universities conduct their own entrance examinations or offer admission based on merit.
The B.Tech in Machine Learning program has a duration of 4 years (8 semesters) and includes classroom learning, programming laboratories, machine learning practicals, internships, industrial training, and major projects.
The curriculum generally includes Programming, Data Structures, Database Management Systems, Probability and Statistics, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP), Big Data Analytics, Cloud Computing, Reinforcement Learning, MLOps, and AI Ethics.