M.Tech AI is a two years postgraduate course that deals with the science and engineering of making computer machines able to perform tasks that usually require human intelligence. Artificial Intelligence Research Companies, Robotics companies Coordinating Committee for Artificial Intelligence, etc., offer good job opportunities for the graduates. Since it has a good job scope worldwide, students get placed in a reputed firm.
Table of Contents
| Degree | Masters |
| Duration | 2 Years |
| Age | No Age limit |
| Minimum Percentage | 50% in B.Tech or BE |
| Average Fees | ₹50K – 5 LPA |
| Average Salary | INR 5 -15 LPA [Source: Glassdoor]. |
| Employment Roles | Principal Data Scientist, Computer Scientist, ML Engineer, Data Engineer, Data Scientist, Research Engineer |
| Top Recruiters | Artificial Intelligence Research Companies, Robotics companies Coordinating Committee for Artificial Intelligence, etc |
The full form of M.Tech AI is Master of Technology in Artificial Intelligence. It is a specialization that is part of the M.Tech course. Some of the leading specializations in Mtech AI are Graph Theory, Electronics System Design, Introduction to Robotics, Embedded Systems, and many more.
Admission for the M.Tech AI Course in India begins with checking the course’s eligibility criteria, including a minimum aggregate of 45-50% in graduation, preferably in BE/BTech in Computer Science or Artificial intelligence, etc., any reputed University or Institution. A passing score is required on the GATE, Karnataka PGCET, IPU CET, or the necessary entrance exams. This course is open to all ages.
The M.Tech AI admission process begins with the student having a minimum aggregate score of 45% to 50% in BE/BTech in Computer Science or Artificial intelligence, mostly from any recognized college or institute, along with passing marks on entrance examinations conducted by national bodies, institutes, or a group of institutes. Though the admission process varies from college to college, below mentioned are the steps that one should go through generally to get admission:
The online portal/offline network must be used to get the application form first. It has to be filled. Because of covid, online is the only option available right now. Once done, the aspirant has to upload/attach the required documents per the guidelines and the specifications mentioned. Apply for a loan if necessary and pay the fee if selected.
The selection is based on the M.Tech eligibility criteria of the minimum scores in the listed exams. Once that is done, there might be an entrance test in colleges. After passing those with a decent score, the aspirant is selected. Either with/without the loan, the fee has to be paid depending on the ones quoted by the institution.
Read More on M.Tech Admission
Some universities and institutions or even states may conduct their entrance examinations for M.Tech AI admissions. The exam includes topics like Engineering Mathematics and General Aptitude. The exams are:
The students must qualify for the national or state level M.Tech AI entrance exams such as GATE, IPU CET, TANCET, Karnataka PGCET, etc. Aspirants can choose B- schools or coaching institutes that prepare students for the entrance exams. The entrance exam gives a glance at the entire course, thus giving an overview of the topic.
India has a variety of colleges offering a course in M.Tech AI. Since it’s a form of specialization, it requires a practical and theoretical study which helps them get in-depth knowledge on the course. These are the top 10 colleges in India, according to the updates given in 2021.
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The M.Tech AI course fees may vary based on colleges. A government-based institute charges less than a private institute because of its infrastructure and facilities. The average price of an M.Tech AI course in a private institute is about INR 1 – 3 LPA.
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College Name |
Fees Per Annum |
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IIT Hyderabad |
INR 5L |
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Defense Institute of Advanced Technology, Pune |
INR 1,45L |
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PES University, Bangalore |
INR 1.7L |
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NIT Hamirpur |
INR 94K |
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Amrita Vishwa Vidyapeetham, Coimbatore |
INR 1.83L |
The M.Tech AI course is a 2-year program consisting of 4 semesters. It covers topics such as Graph Theory, Electronics System Design, Introduction to Robotics, Embedded Systems, etc. The major M.Tech AI subjects are Computational Intelligence, Soft Computing, Artificial Intelligence, and Neural Networking, etc. Depending on the course modules, each college may have its topics and subjects. A few of the subject topics are:
Read More About M.Tech AI Syllabus and Subjects
M.Tech AI is a very demanding course for the aspirants trying to work in Artificial Intelligence Research Companies, Robotics companies Coordinating Committee for Artificial Intelligence, and many more. It is a course that provides a wide range of opportunities. This program emphasizes the importance of science and engineering in making computer machines perform tasks that usually require human intelligence.
M.Tech AI or Master of Technology in Artificial Intelligence is a two years Post Graduation course. The M.Tech AI course list extensively covers topics from Graph Theory, Electronics System Design, Introduction to Robotics, Embedded Systems, and many more. Graduates with an M.Tech AI are hired in Artificial Intelligence Research Companies, Robotics companies Coordinating Committee for Artificial Intelligence. They can even opt for other fields, thus showing its huge job scope.
M.Tech AI graduates have a variety of job roles and career-related plus points because of the good knowledge with the specialization. The aspirant has a choice of either working with a laboratory-based, management, or processing field. Some of the options are:
Teaching Profession: Graduates can pursue teaching positions in educational and research institutions to share their knowledge and expertise with younger students.
M.Tech AI is an accredited graduate program and provides the aspirants with high career opportunities and other benefits. Since computers are a very demanding subject, being a graduate in it is a plus that one would carry, and in fact, any firm would accept a person with the skills. The benefits of the course are:
High Pay: The job offers a good starting salary for freshers and a well of ones for senior or experienced graduates, thus marking it as a good one in the economy.
Exposure: A M.Tech AI degree gives a good source of skill, thus having a good effect as a part of CV and gives a good job scope even abroad, because of the specialization.
Opportunities: It gives a wide job scope in various sectors like engineering firms, research work, intelligence, etc. It even has a high job scope abroad.
M.Tech AI exams involve both an aptitude and a knowledge testing type of questions. So being well prepared with it would be of use. Since the exams themselves brief the course, it would be of more use to get into an in-depth study. Below are some preparation tips made by experts for aspirants who want to pursue M.Tech AI.
Time Management: The aspirant should be capable of answering all the questions in the specified time. Since it involves mathematics, it would be lengthy.
Reading Newspapers: General knowledge and current affairs questions are often asked in entrance exams and sometimes in personal interviews and group discussion rounds.
Skills: Trying to focus more on Physics, Chemistry, Mathematics, Biology and previous graduation topics etc., which are all included in the questions.
Having an M.Tech AI degree opens up a wide range of career options. It is even possible to study further after completing the course. The most commonly followed path in this aspect is the Doctorate degrees, which students can obtain in different specializations involved in the course module. Depending on your choice of stream, there are many options in AI and computer technology. When higher education and the M.Tech AI degree are put together, it gives the students a high job scope. A few of the courses are:
The starting salary of an M.Tech AI graduate would be around INR 5 – 15 LPA [Source: Glassdoor]. As skills and experience increase, so will the salary increment. The salary varies depending on whether it’s a private or a public sector and the firm’s popularity. Even the job role of the aspirant is a factor that is noted while the salaries are discussed. For instance, a developer might get paid more than a research assistant.
Read More About M.Tech AI Salary
After completing a course in MTech, the aspirant can work in the public and private sectors depending on work or skills. They even have an option of further specialization by doing a postgraduate degree like a doctorate or even a further extension by doing other full-time courses. But even the M.Tech AI degree has a high job scope because of the demand and the industrialization and development happening.
Some of the best job designations for the graduates after the course of M.Tech AI in the sector are as follows:
The M.Tech AI course provides a career boost for people seeking jobs in companies, startups, scientific organizations, and research places. It opens a variety of career opportunities for aspiring graduates at various international agencies. Some of the skills required for the M.Tech AI graduates are as follows:
The M.Tech AI syllabus can be divided into four semesters. It covers topics such as technologies to various study components such as Graph Theory, Electronics System Design, Introduction to Robotics, Embedded Systems, and many more. Experience in task performance is also provided. The course, along with core subjects in the semester, even includes other specializations for further skill development.
The M.Tech AI course consists of core and elective subjects. Depending on the university/college, they may differ slightly. It has two parts -a compulsory set of courses covering all foundation areas in mathematics and many elective courses that aim to build job-specific skills and knowledge. M.Tech AI course is a postgraduate course and therefore, provides students with all the vital information they need to succeed. The semester wise courses are as follows:
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Semester I |
Semester II |
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Graph Theory |
Robot Programming |
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Electronics System Design |
Electrical Actuators and Drives |
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Introduction to Robotics |
Image Processing & Machine Vision |
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Machine and Mechanics |
Robotics Based Industrial Automation |
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Embedded Systems |
Robotics Control System |
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Manufacturing System Simulation |
Principles of Computer Integrated Manufacturing |
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Semester III |
Semester IV |
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Artificial Intelligence and Neural Network |
Comp Numerical Control Machines & Adaptive Control |
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System modelling and identification |
Manufacturing Systems Automation |
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Nano Robotics |
Robot Economics |
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Robot Vision |
Modern Material Handling Systems |
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Robotic Simulation |
Group Technology and Cellular Manufacturing |
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PLC and Data Acquisition system |
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Summer Internship |
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The M.Tech AI subjects taught in the course are mostly similar for all the colleges, depending on the institution’s course module. But, the overall subjects are quite similar but put in a different order, depending on the teaching method. Overall, the course makes them have a peculiar way of learning and gives an experience in training in management, analytics, and commerce.
Core Subjects:
Elective Subjects:
The M.Tech AI course syllabus is designed to mainly include various systems of artificial intelligence, computer science, and analysis. This provides knowledge and skills to deal with the technicalities and diverse issues with food processing technologies and many more. This field sharpens a student’s mind to tackle the daily obstacles faced in their workplace, studies & other similar aspects. The course involves subjects which include aspects like
M.Tech AI is a course focusing on different aspects of Intelligence, computer, and technology. The course is designed based on requirements and helps get the most exposure to the field, and the MTech course subjects deal with the same. Learning strategies have varying implications for courses.
M.Tech AI project, known as a mini-thesis, is a compulsory project for the students to complete at the end of their semester. Students should regard their projects as an ideal opportunity to integrate what they have learned during the M.Tech program and apply it to their future working profession. Some of the project topics are
MSc course is the one meant for the specialization in the field of Computer. The topics taught in the course module are very much enough. But, to get a deep or in-depth knowledge, there are certain books published by the -authors, who have opened up about their thought process, and thus helps in being more skilled and knowledgeable about the course which is a major part of M.Tech AI Subjects.
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Name |
Author |
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Playing Atari with Deep Reinforcement Learning |
Mnih, Volodymyr |
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Digital Image Processing |
. R. C. Gonzalez, R. E. Woods |
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“Intellectual Property in New Technological Age |
Robert P. Merges, Peter S. Menell, Mark A. Lemley |
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Insight into Data Mining: Theory and Practice |
. K. P. Soman, V. Ajay and DiwakarShyam |
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Machine Learning, a Probabilistic Perspective |
Kevin P. Murphey |
