CMRIT got the 116th rank among all engineering colleges in India as per Times Engineering Institutes Survey 2021

Second year student team led by Mr. Pratik Kumar Mishra and mentored by Dr. Priti Gupta has been selected among the Top 100 teams for IICDC 2019 Semi Finals-Phase-1 of DST-Texas instrument (IICDC 2019)

Congratulations to Dr. Ganesh - Assistant Professor, Department of ISE, on being awarded the BEST YOUNG SCIENTIST AWARD from Novel Research Academy

Congratulations to SUMA N.G (M.Tech CSE) for securing VTU 1st rank and winning University Gold Medal

Congratulations to Dr. Para Nath Singh for winning Maulana Abul Kalam Azad Excellence Award of Education-2020 award

Congratulations Mr. Siri H R for securing an offer of 23 LPA from Canbright Co. Ltd. (through Zenken)

Congratulations Mr Rahul RD Sahoo(BE-CSE) for securing an offer of ₹21+ LPA from Spacegrab, a Japanese company

Hearty Congratulations to Mr. Ashutosh Bhatte (M.Tech - CSE 2020) for securing a 22 LPA CTC from Synechron Technologies.

B.E. | Artificial Intelligence and Machine Learning

Course Overview

1. What is Artificial Intelligence and Machine Learning specialization in Engineering?
Artificial Intelligence and Machine Learning is a branch of study or discipline which includes theories, standards, methods and innovations of various different domains like mathematics, cognitive science, electronics and embedded systems to make intelligent systems that mimic human behaviour. Artificial Intelligence and Machine Learning focuses on collecting, categorizing, strategizing, analyzing and interpretation of data. It is a specialised branch that deals with the development of embedded systems like robotics and IoT based applications. It also incorporates the concepts of machine learning and deep learning model building for solving various computational and real world business problems.

2. Who should study Artificial Intelligence and Machine Learning study?
Artificial Intelligence and Machine Learning is an appropriate course for those who like to develop various innovative and intelligence solutions to solve complex industrial and business problems. This can contribute in industrial automation, information technology and other sectors like healthcare, agriculture, wearable, space, and meteorology through analysis of raw data, extract intelligence from that and design, develop, support and testing of AI and ML based systems along with embedded applications.

3. What will I study in this course?
In this course, you will learn how to design, create and implement AI and ML based software solution to solve real-world problems. This course helps to explore concepts such as AI, Machine Learning, Deep Learning, Image Processing, Virtual Reality and IoT and its applications.

4. What are the career opportunities after the completion of this course?/What will I do once I graduate?
AI and ML graduates will be able to design, create and implement intelligent software applications to solve real-world business and industrial problems. They use the latest tools and open source technologies to recommend apt solutions. They can figure out how to evaluate the ethical, legitimate, proficient and social standards of engineering knowledge and practices. AI and ML graduates can also showcase their expertise in knowledge management, mobile and distributed application development, intelligence web/ecommerce development, database administration, computer hardware, networking, education and training and decision support systems using machine learning concepts with the help of latest tools and technologies.


Programme Duration

Programme Duration
– 4 Years (8 Semester)

Programme Type:
– Full-Time


Eligibility Criteria

The candidate should have passed the 2nd PUC/12th/Equivalent Exam with English as one of the languages and obtained a minimum of 45% of marks in aggregate in Physics and Mathematics along with Chemistry/Biotechnology/Biology/Electronics/Computers (40% for Karnataka reserved category candidates).

Candidate must also qualify in one of the following entrance exams: CET/ COMED-K/JEE/AIEEE


Course Structure

The AI and ML syllabus is as follows:










Students can choose from the following electives:

Professional Elective-1






Evaluation Criteria





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