M.Tech Artificial Intelligence is a 2-year postgraduate course. This course deals with the how-to required to write code for the machine said. This code in essence works as guiding instruction for the machine, they said the machine is performing tasks with less human intervention. The increased demand for AI-powered products and applications will increase work opportunities having specialisation in AI and ML.
The course is new and trending and offers students the opportunity to learn techniques and skills. Computer languages like Prolog, Lisp, JAVA, and Python are some languages that are taught in this course. Some institutes also offer the students interdisciplinary courses during this program, students may be required to study edge computing, functioning of the internet, psychology marketing one computer program, and robotics.
M.Tech Artificial Intelligence Highlights
Course Level |
Post Graduation |
Duration of the Course |
2 years |
Examination Type |
Semester System |
Eligibility |
BE/ BTech in Computer Science |
Admission Process |
Mostly Entrance-Based |
Average Annual Salary |
INR 5,00,000 to INR 15,00,000 |
Top Job Areas |
Artificial Intelligence agencies, Robotics companies Coordinating Committee for Artificial Intelligence etc. |
Top Job Positions |
Game Programmer, Robotic Scientist, Computer Scientist, Software Engineer etc. |
Eligibility Criteria for M.Tech Artificial Intelligence
1. Successful completion of graduation in any course stream like B.Sc. and engineering etc. from a recognized university/college.
2. Candidates must have a Master’s degree with a minimum aggregate in Science or Social Science or Humanities or any other equivalent course.
3. The candidate must have also scored an aggregate score of 50% at the level of graduation
4. A reduction has been in place for the SC/ST students up to 45% which can be availed if the students have the required documentation to prove their claim.
Admission Process
1. Colleges publish admission notices on their website from June when most Indian universities would have finished degree exams.
2. Candidate to apply for each college, as each college considers each mark the cut-off mark.
3. Some private colleges and deemed universities perform their counselling process by conducting their university-level entrance exams.
4. Some colleges require a minimum of 50% aggregate in the qualifying examination.
5. Candidates who qualify for the test are called for an interview before the final seat allotment.
Career after M.Tech Artificial Intelligence
M. Tech. in AI will provide the students with an opportunity to learn both foundational and experimental components of AI and Machine Learning. The program will open various career opportunities involving innovation and problem-solving using Artificial Intelligence (AI) and Machine Learning (ML) technologies as well as research careers in AI and ML.
The career prospects for artificial intelligence research professionals are positive. They can apply for job positions like Research Scientists, AI Researchers, Machine Learning Engineers, etc. Data science and artificial intelligence are fields that rely heavily on software engineers to develop, identify, and monitor new advancements.
Students holding an MTech Artificial Intelligence degree will be able to find work as a Game Programmer, Robotic Scientist, Computer Scientist, Software Engineer etc., or as Developer for machines used in game playing, speech recognition, language detection, computer vision, expert systems, robotics etc.
M.Tech Artificial Intelligence Syllabus
Semester I |
Semester II |
Graph Theory |
Robot Programming |
Electronics System Design |
Electrical Actuators and Drives |
Introduction to Robotics |
Image Processing & Machine Vision |
Machine and Mechanics |
Robotics Based Industrial Automation |
Embedded Systems |
Robotics Control System |
Manufacturing System Simulation |
Principles of Computer Integrated Manufacturing |
Semester III |
Semester IV |
Artificial Intelligence and Neural Network |
Comp Numerical Control Machines & Adaptive Control |
System modelling and identification |
Manufacturing Systems Automation |
Nano Robotics |
Robot Economics |
Robot Vision |
Modern Material Handling Systems |
Robotic Simulation |
Group Technology and Cellular Manufacturing |
PLC and Data Acquisition system |
__ |
Summer Internship |
__ |