Bachelor of Technology [B.Tech] Artificial Intelligence & Machine Learning Top Colleges, Syllabus, Scope, and Salary 2025

BTech Artificial Intelligence and Machine Learning Highlights

The B.Tech program in Artificial Intelligence and Machine Learning spans four years, the students get to learn more about engineering with a specialisation in AI and ML. The following are the main areas of study that a student learns in this program:

What is BTech Artificial Intelligence and Machine Learning about?

B.Tech program in Artificial Intelligence and Machine Learning primarily focuses on the program that teaches scholars how to program machines so they can speak the language. This course is designed to enable candidates to learn and customise machine abilities and use code and cryptography to accomplish their tasks. 

More than a basic description, the course also includes topics like Machine learning, human-machine interaction, and augmented world technology. The course also involves interdisciplinary subfields such as edge computing platforms, the Internet of Things, psychology, marketing, and robotics.

Why Study the BTech Artificial Intelligence and Machine Learning Course?

AI and ML are vital concepts in this age of automation and digitalisation. The world market is currently undergoing a massive trend of AI integration in almost all sectors, with studies showing that such integrations will grow exponentially with time. By enrolling for a B.Tech in Artificial Intelligence and Machine Learning, an individual opens a lot of opportunities in their life where they work for IT companies, financial institutions, and the healthcare sector. Apart from the high returns, the demand for this skill is currently at the tipping point.

BTech AI and ML  Admission Process

The admission process for B.Tech in Artificial Intelligence and Machine Learning typically involves two primary methods:

• Entrance Test-based Admission: Many institutes conduct entrance exams tailored specifically for admission to the B.Tech program. Candidates must meet the eligibility criteria and successfully clear the entrance examination to secure a seat in the course.

• Merit-based Admission: Alternatively, some institutes may consider the candidate's academic performance in 10+2 examinations, along with other factors such as extracurricular activities, for merit-based admission. Personal interviews or counselling sessions may also be part of the admission process in certain institutions.

B.Tech Artificial Intelligence and Machine Learning Eligibility

To pursue a B.Tech in Artificial Intelligence and Machine Learning, candidates must meet certain eligibility criteria, which serve as the foundation for admission into this esteemed undergraduate program. While specific requirements may vary across institutions, the following prerequisites are commonly observed:

• The candidate must have completed their 10+2 examination from the PCM field, accredited by a recognised state/central education board.

• Attainment of a minimum aggregate of 50% marks in the 10+2 matriculation examinations is essential for eligibility.

• Candidates from the SC/ST category are eligible for admission upon securing a minimum of 45% marks in their matriculation examinations.

• Additionally, clearing specific university-based entrance examinations is a requisite for consideration as an eligible candidate for the B.Tech Artificial Intelligence and Machine Learning course.

BTech AI and ML Entrance Exams

 Fulfilling entrance examinations is a gateway to top institutions that provide the B.Tech program in Artificial Intelligence and Machine Learning. Admissions are mainly affected by external examinations conducted for entry into, and successful completion of, a specific program. Among the critical external examinations conducted for admissions, the main ones are:

How to get Admission to a Good College?

Securing admission to a reputable college requires careful planning and execution. Follow these steps for a smooth admission process:

• College Research and Listing: Research colleges of interest and compile detailed lists outlining admission procedures and eligibility criteria.

• Admission Form Submission: Fill out admission forms accurately, utilising assistance from designated net centres if necessary, and keep copies of essential documents handy.

• Exam Preparation and Appearance: Prepare diligently for entrance exams, adhere to the prescribed syllabus, and confidently participate in the examination process.

• Interview and Group Discussion: Upon qualifying for the examination, prepare for personal interviews or group discussions as required by certain institutes.

• Fee Payment and Confirmation: Upon acceptance, pay the requisite fees within the stipulated timeframe to confirm admission, thus culminating the journey towards securing a coveted spot in a preferred college.

BTech AI and ML : Top Colleges

The following compares the top colleges that offer the B.Tech in Artificial Intelligence and Machine Learning:

BTech AI and ML College Comparison

Choosing the right college is an essential factor in determining a potential student’s intellectual and professional journey into the world of Artificial Intelligence and Machine Learning. The comparative analysis is as follows of the top colleges offering B.Tech in Artificial Intelligence and Machine Learning:

BTech AI and ML Course Comparison

B.Tech in Artificial Intelligence and Machine Learning vs B.Tech in Computer Science and Engineering:

BTech AI and ML Learning Syllabus

The curriculum of B.Tech in Artificial Intelligence and Machine Learning is meticulously designed to provide students with a comprehensive understanding of foundational principles, advanced algorithms, and emerging technologies shaping the field. Spanning eight semesters, the syllabus encompasses a diverse range of subjects tailored to equip students with the requisite skills and knowledge to excel in the field of AI and ML.