The MTech (Master of Technology) in Artificial Intelligence (AI) is designed to put together you with advanced information and talents within the swiftly growing discipline of AI Courses normally embody foundational subjects together with system mastering, deep getting to know, herbal language processing and computer imaginative and prescient. Students delve into theoretical concepts and advantage realistic enjoy through realistic application.
Programs frequently include publications in facts era, algorithm format, and AI ethics. Advanced topics may additionally embody reinforcement getting to know, robotics and AI for preference making. In addition, students interact in studies projects and foster innovation and trouble-fixing abilities. Emphasis is positioned on growing proficiency in generally used programming languages in AI, inclusive of Python, and the usage of AI tools and frameworks.
Stage | Description |
---|---|
Eligibility | B.E./B.Tech. degree with minimum 55-60% marks in relevant field. |
Entrance Exams | Varies by university; some conduct their own exams, while others accept GATE scores. |
Written Test | Assesses specific areas within AI (may not apply to all universities). |
Interview | Evaluates communication skills, analytical abilities, and research potential. |
Selection | Based on entrance exam scores, written test, interview, academic transcripts, and GATE score (if applicable). |
Educational Background:
Academic Performance:
Entrance Exams:
Work Experience (Optional):
Interviews or Written Tests:
GATE (Graduate Aptitude Test in Engineering): GATE is a country wide-stage entrance exam in India that assesses the complete expertise of engineering and technology topics. For admission to MTech AI programs, applicants want to seem for the Computer Science and Information Technology (CS) paper. GATE evaluates candidates on mathematical flair, analytical abilties, and center computer technological know-how principles. A excellent GATE score is critical for securing admission to prestigious institutes and universities imparting MTech AI guides.
PGEE (Post Graduate Entrance Examination): Some universities conduct their personal front assessments, along with the Post Graduate Entrance Examination. This exam assesses applicants on topics like mathematics, pc technology, and engineering. It is designed to assess the candidate's academic talent and suitability for pursuing superior studies in artificial intelligence.
CEED (Common Entrance Exam for Design): CEED is an front exam for postgraduate research in layout, and some institutes presenting interdisciplinary applications with a focal point on AI may also consider CEED scores. It assesses applicants on creativity, layout flair, and visualization abilities, which can be relevant for AI packages in user interface layout and human-laptop interplay.
Institute-Specific Entrance Exams: Many reputed institutes and universities may additionally have their personal entrance assessments for MTech AI packages. These exams are tailor-made to the institute's curriculum and can consist of sections on AI fundamentals, programming abilities, and trouble-solving abilities.
Course Name | Syllabus Overview |
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Introduction to Artificial Intelligence (AI) | Delves into the fundamental concepts of AI, including its history, applications, and the different approaches to AI development. |
Machine Learning (ML) | Explores the principles and techniques of machine learning, covering supervised learning, unsupervised learning, reinforcement learning, and ensemble learning algorithms. |
Deep Learning (DL) | Delve into the world of deep learning, focusing on neural networks, deep learning architectures, and their applications in various domains like computer vision, natural language processing, and speech recognition. |
Probabilistic Graphical Models (PGMs) | Explores the mathematical foundations of probabilistic graphical models, including Bayesian networks, Markov random fields, and hidden Markov models, and their applications in machine learning, natural language processing, and computer vision. |
Reinforcement Learning (RL) | Introduces the principles and techniques of reinforcement learning, covering Markov decision processes, policy optimization algorithms, and applications in robotics, game playing, and resource allocation. |
Natural Language Processing (NLP) | Deepens understanding of natural language processing, covering areas like text representation, natural language understanding, natural language generation, and sentiment analysis. |
Computer Vision (CV) | Explores the fundamentals of computer vision, covering image processing, object detection, image segmentation, and video analysis. |
Image and Video Processing | Delve into image and video processing techniques, covering topics like image filtering, image compression, image enhancement, feature extraction, and video compression. |
Data Mining Techniques | Investigates various data mining techniques, including clustering, classification, association rule mining, and anomaly detection. |
Artificial Intelligence for Software Engineering | Explores the intersection of AI and software engineering, covering areas like software testing, software design, and software maintenance. |
Ethical and Social Implications of AI | Discusses the ethical and social implications of AI, including issues of bias, transparency, accountability, and the impact of AI on society. |
Elective Courses | Choose from a range of elective courses in specific areas of AI, such as robotics, computer graphics, and intelligent systems. |
Eligibility Check: Prospective candidates need to ensure they meet the eligibility criteria set by the respective university or group offering the MTech AI program. This includes owning a applicable bachelor's degree, meeting minimum educational necessities, and, in some cases, having work experience.
Entrance Exam: Many universities require applicants to take a standardized front examination, which includes GATE (Graduate Aptitude Test in Engineering) for the Computer Science and Information Technology (CS) paper. Other institutes may have their own entrance tests specializing in AI-associated topics.
Application Submission: Candidates normally need to submit an online software through the university's admission portal. This involves offering personal statistics, instructional info, and relevant documents, including transcripts and certificates.
Shortlisting: Based on the doorway exam scores and educational performance, universities shortlist candidates for the following stage of the admission technique. Some institutes might also recall extra elements like paintings revel in, interviews, or written exams.
Interview/Written Test: Shortlisted applicants are often required to wait an interview or written take a look at to assess their expertise, problem-fixing abilities, and suitability for this system. This level helps the selection committee gauge the candidate's ardour for AI and their capability contributions to the sector.
Final Selection: The final selection is based on a aggregate of front exam rankings, educational performance, overall performance in interviews or written tests, and another distinctive standards. The decided on applicants acquire admission offers.
Acceptance and Enrollment: Candidates who receive admission gives ought to officially be given the offer and entire the enrollment system, which can also encompass paying charges, filing additional files, and completing other administrative requirements.
Tabulated below is the collection of the Top 10 Master of Technology [M.Tech] (Artificial Intelligence) Colleges in India with Fee Structure, including their key features.
Name of the institute | Location | Fees |
---|---|---|
Indian Institute of Science | Bangalore, Karnataka | INR 266,500 |
Delhi Technological University | New Delhi, Delhi NCR | INR 241,700 |
IIT BHU | Varanasi, Uttar Pradesh | INR 228,315 |
IIT Roorkee | Roorkee, Uttarakhand | INR 1,100,000 |
IIT Patna | Patna, Bihar | INR 264,145 |
IIT Ropar | Ropar, Punjab | INR 700,000 |
NIT Uttarakhand | Srinagar Garhwal, Uttarakhand | INR 166,010 |
Anurag University | Hyderabad, Telangana | INR 250,000 |
Hindustan Institute of Technology and Science | Chennai, Tamil Nadu | INR 385,000 |
Maulana Abul Kalam Azad University of Technology | Kolkata, West Bengal | INR 140,300 |
Tabulated below is the collection of the Top 10 Government Master of Technology [M.Tech] (Artificial Intelligence) Colleges in India with Fee Structure, including their key features.
Name of the institute | Location | Fees |
---|---|---|
Indian Institute of Science | Bangalore, Karnataka | INR 266,500 |
IIT BHU | Varanasi, Uttar Pradesh | INR 228,315 |
IIT Roorkee | Roorkee, Uttarakhand | INR 1,100,000 |
Delhi Technological University | New Delhi, Delhi NCR | INR 241,700 |
IIT Patna | Patna, Bihar | INR 264,145 |
IIT Ropar | Ropar, Punjab | INR 700,000 |
NIT Uttarakhand | Srinagar Garhwal, Uttarakhand | INR 166,010 |
Maulana Abul Kalam Azad University of Technology | Kolkata, West Bengal | INR 140,300 |
Samrat Ashok Technological Institute | Vidisha, Madhya Pradesh | INR 76,300 |
Shri Guru Gobind Singhji Institute of Engineering and Technology | Nanded, Maharashtra | INR 77,246 |
Tabulated below is the collection of the Top 10 Private Master of Technology [M.Tech] (Artificial Intelligence) Colleges in India with Fee Structure, including their key features.
Name of the institute | Location | Fees |
---|---|---|
Anurag University | Hyderabad, Telangana | INR 250,000 |
Hindustan Institute of Technology and Science | Chennai, Tamil Nadu | INR 385,000 |
The Oxford College of Engineering | Bangalore, Karnataka | INR 130,090 |
Mahatma Gandhi Institute of Technology | Hyderabad, Telangana | INR 270,000 |
Mukesh Patel School of Technology Management and Engineering | Mumbai, Maharashtra | INR 1,900,000 |
PES University | Bangalore, Karnataka | INR 710,000 |
RCC Institute of Information Technology | Kolkata, West Bengal | INR 133,200 |
Royal School of Engineering and Technology | Guwahati, Assam | INR 142,000 |
Faculty of Engineering and Technology, Jain University | Bangalore, Karnataka | INR 490,000 |
JSS Academy of Technical Education | Noida, Uttar Pradesh | INR 138,349 |
College Name | City | Average CTC (INR) |
---|---|---|
Indian Institute of Technology (IIT) Madras | Chennai | 20-23 lakhs |
Indian Institute of Technology (IIT) Bombay | Mumbai | 18-21 lakhs |
Indian Institute of Science (IISc) Bangalore | Bangalore | 16-19 lakhs |
National Institute of Technology (NIT) Trichy | Tiruchirappalli | 12-15 lakhs |
Jadavpur University | Kolkata | 10-13 lakhs |
Specialization | Average Salary Range (INR) |
---|---|
Natural Language Processing (NLP) | 14-18 lakhs |
Computer Vision | 12-16 lakhs |
Reinforcement Learning | 16-20 lakhs |
Deep Learning | 18-22 lakhs |
AI for Robotics | 14-18 lakhs |