M.tech in Artificial Intelligence program is at the forefront of a technological revolution that is changing how we interact with the world. AI has emerged as a crucial driving force in a rapidly developing digital ecosystem, transforming industries, enhancing human capabilities, and pushing the limits of what is possible.
This advanced postgraduate curriculum was designed to immerse students in the enormous field of artificial intelligence. It equips students with the information, skills, and expertise required to flourish in this dynamic and ever-changing industry. Students in this program will study about the theoretical foundations of artificial intelligence, as well as practical applications and hands-on experience building AI-powered solutions.
Candidates who have successfully completed their Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) from an accredited university, college, or institution with a minimum aggregate score of 50% are eligible for admission to the M.Tech in Artificial Intelligence program. This prerequisite ensures that applicants possess a solid foundation in the relevant field, providing them with the necessary knowledge to excel in the program.
Admission to the M.Tech program in Artificial Intelligence primarily relies on academic qualifications and performance in a mandatory entrance examination. The Graduate Aptitude Test in Engineering (GATE) is widely recognized as the primary and most prestigious qualifying exam among several entrance tests accepted by leading institutions. A robust GATE score not only signifies a candidate’s expertise in the subject but also plays a pivotal role in securing admission to esteemed universities. Thus, it is a critical step in the application process for this specialized and highly competitive field of study.
Why Choose the M.Tech In Artificial Intelligence?
A Master of Technology (M.Tech) in Artificial Intelligence is an appealing choice for individuals with a passion for cutting-edge technology and a desire to change the future for a variety of compelling reasons. Here are some crucial reasons to think about:
- AI Specialists in High need: The field of Artificial Intelligence is witnessing unprecedented growth, with a high need for skilled people. Healthcare, banking, automotive, and other industries are actively seeking AI expertise to develop and move their organizations forward.
- Problem-Solving and Innovation: AI is at the vanguard of innovation, addressing challenging challenges and altering industries. Pursuing an M.Tech in Artificial Intelligence allows you to work on cutting-edge projects, create intelligent solutions, and be a part of a growing industry.
- Career Opportunities: With an M.Tech in Artificial Intelligence, you can pursue a variety of careers. This degree opens up a wide range of job opportunities, including research and development, data science, machine learning engineering, and AI consulting.
- Interdisciplinary Knowledge: This curriculum delivers a well-rounded education that includes machine learning, deep learning, natural language processing, and robotics. It provides you with a diverse skill set, allowing you to adapt in a volatile employment market.
- Ethical AI Development: The relevance of ethical AI development cannot be stressed as AI continues to impact society. The program stresses responsible and ethical AI use, preparing you to make a meaningful contribution to the field.
- Impact on Society: Artificial intelligence has the capacity to address key global concerns ranging from healthcare advancements to environmental conservation. You may be part of the solution and influence meaningful societal change by pursuing this degree.
- Global Collaboration: The M.Tech in Artificial Intelligence program frequently attracts a varied group of students from all around the world. This multicultural environment encourages teamwork, exposes you to new points of view, and broadens your global network.
- Opportunities for Research: Many programs provide opportunities for students to participate in cutting-edge AI research. This hands-on experience has the potential to lead to papers, patents, and a better knowledge of AI principles.
Highlights
| Aspect | Description |
| Degree | M.tech in Artificial Intelligence |
| Duration | Typically 2 years of full-time study |
| Eligibility | Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) from a recognized institution with a minimum of 50% aggregate marks |
| Admission Criteria | Primarily based on merit and performance in a qualifying entrance exam (e.g., GATE), |
| Specializations | Opportunities to specialize in areas such as wireless communication, digital signal processing, VLSI design, and more |
| Entrance Exams | GATE 2023, TANCET 2023, AP PGECET 2023, SRMJEEE PG 2023, VITMEE 2023, JNU CEE M.Tech 2023, CUCET Engineering 2023, BITS HD Admission Test 2023, Karnataka PGCET 2023, TS PGECET 2023IIIT Delhi M.Tech Entrance Exam 2023, Gujarat PGCET 2023, OJEE PG 2023, ISI Admission Test 2023, WBUT PGET 2023, MET PG 2023, IPU CET M.Tech 2023, GITAM GAT PGTA 2023, LNMIIT M.Tech Admission 2023, IIITM-K PG 2023, JIIT PGET 2023 |
| Career Opportunities | Artificial Intelligence Research Companies, Robotics companies Coordinating Committee for Artificial Intelligence, etc |
| Courses Fees | Rs. 1,00,000/- to Rs. 5,50,000/- Per Annum |
| Average Starting Salary | Rs. 3,00,000/- to Rs. 15,50,000/- |
| Top Institutes | IITs, NITs, and Leading Engineering Colleges |
Syllabus
First Year
| 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 |
Second Year
| 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 | __ |
Subjects
| Core Subjects | Elective Subjects |
| Advanced Data Structures and Algorithms | Foundation of Data Science |
| Mathematics for Artificial Intelligence | Machine Learning |
| Foundations of Artificial Intelligence | Multi-Agent Systems |
| Foundations of Data Science | Living Labs |
| Statistical Learning Theory | Modeling and Simulation |
| Probabilistic Graphical Models | AI in Natural Language Processing |
| Optimization Techniques | Introduction to Game Theory |
| Reinforcement Learning | – |
Average Fees
| Courses | Average Fees |
| M.tech in Artificial Intelligence | Rs. 1,00,000/- to Rs. 5,50,000/- Per Annum |
Eligibility Criteria
| Criteria | Description |
| Qualification | Bachelor’s degree in Engineering or Technology (B.E./B.Tech) in a relevant field from a recognized university or institution. |
| Academic Performance | Typically, candidates should have a minimum aggregate score of 55% to 60% in their undergraduate degree. Some institutions may have specific grade point average (GPA) requirements. |
| Entrance Exam | Many M.Tech programs require candidates to qualify in a national or state-level entrance exam, such as GATE (Graduate Aptitude Test in Engineering). The exam score is a significant factor in the admission process. |
| GATE Score Cutoff | Different M.Tech programs may have specific GATE score cutoffs for various categories (General, OBC, SC/ST). Meeting the minimum cutoff is essential for admission. |
| Work Experience (if any) | Some institutions may consider work experience as an additional eligibility criterion, particularly for part-time or sponsored M.Tech programs. |
| Relaxation for SC/ST/OBC | Universities often provide relaxation in eligibility criteria for candidates belonging to Scheduled Castes (SC), Scheduled Tribes (ST), and Other Backward Classes (OBC). |
| Non-GATE Admissions | In cases where candidates haven’t taken the GATE exam or haven’t secured a qualifying score, some institutions may admit students based on a written test and interview. |
Entrance Exams for M.Tech Courses
| Exam | Conducting Authority |
| GATE 2023 | Jointly conducted by IIT Bombay, Delhi, Guwahati, Kanpur, Kharagpur, Madras, Roorkee and the Indian Institute of Science (IISc) Bangalore |
| TANCET 2023 | Anna University |
| AP PGECET 2023 | Andhra University |
| SRMJEEE PG 2023 | SRM Institute of Science and Technology |
| VITMEE 2023 | VIT University |
| JNU CEE M.Tech 2023 | Jawaharlal Nehru University (JNU) |
| CUCET Engineering 2023 | Central Universities Common Entrance Test (CUCET) |
| BITS HD Admission Test 2023 | Birla Institute of Technology and Science (BITS) |
| Karnataka PGCET 2023 | Karnataka Examination Authority |
| TS PGECET 2023 | Osmania University |
| IIIT Delhi M.Tech Entrance Exam 2023 | Indraprastha Institute of Information Technology (IIIT) |
| Gujarat PGCET 2023 | Admission Committee for Professional Courses (ACPC) |
| OJEE PG 2023 | Odisha Joint Entrance Examination Board |
| ISI Admission Test 2023 | Indian Statistical Institute (ISI) |
| WBUT PGET 2023 | West Bengal University of Technology (WBUT) |
| MET PG 2023 | Manipal Academy of Higher Education |
| IPU CET M.Tech 2023 | Guru Gobind Singh Indraprastha University (GGSIPU) |
| GITAM GAT PGTA 2023 | Gandhi Institute of Technology and Management (GITAM) |
| LNMIIT M.Tech Admission 2023 | The LNM Institute of Information Technology |
| IIITM-K PG 2023 | Indian Institute of Information Technology and Management – Kerala |
| JIIT PGET 2023 | Jaypee Institute of Information Technology (JIIT) |
Career opportunities for M.Tech in Artificial Engineering
| Career Opportunity | Salary (Average Annual) | Description |
| Machine Learning Engineer | ₹8,00,000 – ₹20,00,000 | Design, develop, and deploy machine learning models. |
| Data Scientist | ₹7,00,000 – ₹18,00,000 | Analyze data and derive actionable insights. |
| Artificial Intelligence Research Scientist | ₹8,00,000 – ₹20,00,000 | Conduct advanced AI research in academia or industry. |
| Natural Language Processing Engineer | ₹6,00,000 – ₹15,00,000 | Work on language-related AI applications and models. |
| Computer Vision Engineer | ₹8,00,000 – ₹18,00,000 | Develop computer vision solutions for various industries. |
| AI Consultant | ₹8,00,000 – ₹20,00,000 | Provide expert guidance on AI strategy and implementation. |
| Robotics Engineer | ₹7,00,000 – ₹18,00,000 | Design and build robotic systems with AI capabilities. |
| Data Engineer | ₹6,00,000 – ₹15,00,000 | Manage and optimize data pipelines and databases. |
| AI Product Manager | ₹10,00,000 – ₹25,00,000 | Lead the development of AI-driven products and services. |
| AI Ethicist | ₹7,00,000 – ₹18,00,000 | Ensure ethical and responsible AI development and usage. |
Top Colleges in M.Tech in Artificial Intelligence in India
| Colleges | Course Fees (1st Year) | Average Placement Package |
| IIT Madras – Indian Institute of Technology – [IITM] | ₹ 19,850 | ₹ 21,48,000 |
| IIT Delhi – Indian Institute of Technology [IITD] | ₹ 1,90,300 | ₹ 2,00,00,000 |
| IIT Bombay – Indian Institute of Technology – [IITB] | ₹ 59,300 | ₹ 3,67,00,000 |
| IIT Kharagpur – Indian Institute of Technology – [IITKGP] | ₹ 27,650 | ₹ 2,60,00,000 |
| IIT Roorkee – Indian Institute of Technology – [IITR] | ₹ 40,100 | ₹ 1,30,00,000 |
| BITS Pilani (Pilani Campus) | ₹ 5,71,575 | ₹ 60,75,000 |
| IIT Guwahati – Indian Institute of Technology – [IITG] | ₹ 67,350 | ₹ 2,40,00,000 |
| IIT Hyderabad – Indian Institute of Technology – [IITH] | ₹ 53,550 | ₹ 63,78,000 |
| College of Engineering, Anna University – [CEG] | ₹ 56,260 | — |
| NIT Trichy | ₹ 70,450 | ₹ 40,00,000 |
GATE Engineering Predicators
Engineering predictors are essential tools that utilize historical data and algorithms to assess a student’s potential rank or admission chances in M.Tech programs, especially when seeking admission based on the Graduate Aptitude Test in Engineering (GATE) scores. These predictors offer valuable insights into the likelihood of securing admission to specific M.Tech courses or institutions, streamlining the admission process.
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GATE Counseling Expert
As experts in M.Tech admissions, we also provide specialized support and guidance for students navigating the admission process. Our team of knowledgeable Engineering Admission Consultants is well-versed in the GATE counseling process, dedicated to helping students achieve their academic and career aspirations in the field of M.Tech. Whether it’s selecting the right college, preparing applications, or understanding the counseling procedure, our Engineering Admission Consultants are here to ensure a smooth and seamless journey for aspiring M.Tech students.
GATE Expert Counselling
GATE Expert Counselling
Our expert counseling services extend to GATE-based admissions, whether you aspire to enter prestigious institutions like IITs or other renowned engineering colleges offering M.Tech programs. We also provide guidance for state-level counseling processes, ensuring that you receive personalized assistance to make informed decisions throughout the admission process.
Our M.Tech admission support includes:
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Frequently Asked Questions
Q1. What is M.Tech in Artificial Engineering?
A. M.Tech in Artificial Engineering is a postgraduate program focused on advanced studies in the field of Artificial Intelligence. It equips students with the knowledge and skills needed to work on cutting-edge AI technologies and applications.
Q2. What are the prerequisites for admission to an M.Tech in Artificial Engineering program?
A. Typically, applicants should have a Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) degree with a minimum aggregate score, as specified by the university or institution. Admission requirements may also include qualifying in a relevant entrance exam like the GATE (Graduate Aptitude Test in Engineering).
Q3. What are the core subjects covered in this program?
A. Core subjects often include Advanced Data Structures and Algorithms, Mathematics for Artificial Intelligence, Foundations of Artificial Intelligence, Statistical Learning Theory, and more. These subjects provide a strong foundation in AI principles and technologies.
Q4. Are there elective subjects to choose from in the M.Tech in Artificial Engineering program?
A. Yes, students often have the option to select elective subjects based on their interests. These may include courses like Machine Learning, Natural Language Processing, and Computer Vision, among others.
Q5. What career opportunities are available after completing an M.Tech in Artificial Engineering?
A. Graduates can pursue careers as Machine Learning Engineers, Data Scientists, AI Research Scientists, Natural Language Processing Engineers, and more. There are diverse opportunities in academia, research, and various industries.
Q6. What is the average salary for M.Tech in Artificial Engineering graduates?
A. Salaries can vary based on factors like experience, location, and the specific job role. On average, graduates can expect competitive salaries, often ranging from ₹6,00,000 to ₹25,00,000 or more per year.
Q7. Is there a demand for professionals with an M.Tech in Artificial Engineering?
A. Yes, there is a high demand for AI professionals in various industries due to the increasing adoption of AI technologies. This field offers excellent career prospects and job security.
Q8. What are the ethical considerations in AI covered in this program?
A. Many M.Tech programs in Artificial Engineering emphasize the responsible and ethical development of AI. Students learn about the ethical implications of AI and how to design AI systems that adhere to ethical guidelines.
Q9. Can I pursue a Ph.D. after completing an M.Tech in Artificial Engineering?
A. Yes, an M.Tech can be a stepping stone to a Ph.D. in Artificial Intelligence or related fields for those interested in advanced research and academia.
Q, 10. How long does it typically take to complete an M.Tech in Artificial Engineering?
A. The duration of the program is usually two years, comprising of coursework and a thesis or project.