MTech in Artificial Intelligence is a specialised postgraduate program that studies advanced concepts and techniques in artificial intelligence. The course is prepared to equip students with the knowledge and skills to build intelligent systems that can perceive, reason, learn and adapt like humans. The program's curriculum is carefully crafted to comprehensively understand various aspects of AI, including machine learning, natural language processing, computer vision, and robotics.
The course aims to impart a deep understanding of artificial intelligence's theoretical and practical aspects. Students learn about the mathematical foundations of AI, including probability theory, linear algebra, and calculus, which are essential for building intelligent systems. The program also provides hands-on training in programming languages and tools used in AI, such as Python, TensorFlow, and PyTorch, among others.
Eligibility
MTech in Artificial Intelligence is a popular postgraduate program that aims to prepare students to work with intelligent systems that can think and learn like humans. The eligibility criteria for this program are designed to ensure that candidates have the necessary academic background and foundational knowledge to succeed in this field. The eligibility criteria for MTech in Artificial Intelligence are as follows:
Minimum Score Requirement: Candidates must score at least 50% in aggregate or a CGPA of 2.0 out of the 4.0 grading system from any recognised institution. This minimum score requirement ensures that students have a solid academic foundation to build upon during the program.
Undergraduate Degree: Candidates must have an undergraduate degree in Engineering/Technology/Architecture/Computer Application (honours) from a recognised institution. This requirement ensures that candidates have a foundational knowledge of the subject matter and are prepared for the advanced coursework in the program.
Science Background: Candidates who do not have an undergraduate degree in the specified fields must have a total of 16 years of education with a science background. This requirement ensures that candidates have a foundational knowledge of mathematics, physics, and other science subjects.
M.Sc. Degree: Candidates with an M.Sc. in Physics, Chemistry, Mathematics, Statistics, or any other related field are also eligible for the MTech in Artificial Intelligence program. This requirement ensures that candidates have a strong foundation in the principles of science and mathematics, which are crucial for the advanced coursework in the program.
Course Curriculum of MTech in Artificial Intelligence
The course curriculum of MTech in Artificial Intelligence is designed to offer students a comprehensive understanding of artificial intelligence's theoretical and practical aspects. The program covers various topics, including machine learning (ML), deep learning, natural language processing, computer vision, robotics, and cognitive computing. Here are the detailed headings under which the course curriculum of MTech in Artificial Intelligence can be elaborated.
Introduction to Artificial Intelligence: This section introduces students to the basic concepts of artificial intelligence, including its history, definition, and applications. Students learn about the various approaches to AI, such as rule-based systems, decision trees, and neural networks.
Probability and Statistics: Probability theory and statistics form the foundation of machine learning, and this section covers topics such as probability distributions, hypothesis testing, and statistical inference. Students learn how to use statistical techniques to analyse data and make predictions.
Machine Learning: This section focuses on machine learning, a subfield of AI that involves building algorithms that can learn from data. Students learn about various machine learning techniques, such as supervised, unsupervised, and reinforcement learning. They also learn about optimisation algorithms and how to apply them to solve real-world problems.
Deep Learning: Deep learning is a subfield of machine learning that involves building neural networks with multiple layers. This section covers convolutional neural networks, recurrent neural networks, and generative adversarial networks. Students learn to use deep learning techniques for image recognition, natural language processing, and other applications.
Natural Language Processing: Natural language processing is a subfield of AI that involves building systems that can understand and generate human language. This section covers sentiment analysis, text classification, and machine translation. Students learn to use NLP techniques to build chatbots, virtual assistants, and other applications.
Computer Vision: Computer vision is a subfield of AI that involves building systems that can interpret and analyse visual data. Students learn to use computer vision techniques to build autonomous vehicles, surveillance systems, and other applications. This section covers object recognition, image segmentation, and video analysis.
Robotics: Robotics is a subfield of AI that involves building intelligent machines that can perform tasks autonomously. Students learn to design and build robots to navigate complex environments, manipulate objects, and interact with humans. This section covers topics such as kinematics, dynamics, and control systems.
Cognitive Computing: Cognitive computing is a subfield of AI that involves building systems that mimic human thought processes. This section covers natural language understanding, reasoning, and decision-making. Students learn to develop mental strategies for medical diagnosis, financial planning, and other applications.
Admission Process And Fees for MTech in Artificial Intelligence
The following are the steps followed in the admission process for MTech in Artificial Intelligence:
Step 1: Entrance Exam
Most institutes conduct their entrance exam to shortlist candidates for the program. The entrance exam typically covers mathematics, computer science, and data analytics. Some institutes also accept scores from national-level entrance exams such as GATE (Graduate Aptitude Test in Engineering) and UGC NET (University Grants Commission National Eligibility Test) for admission to the MTech in Artificial Intelligence program.
Step 2: Interview and Counseling Round
Candidates who clear the entrance exam are called for an interview and counselling round. The candidate's aptitude, analytical skills, and communication skills are assessed during the interview. The counselling round is conducted to guide the course curriculum, career prospects, and other relevant information.
Step 3: Admission Offer
Candidates who clear the interview and counselling round are offered admission to the MTech in Artificial Intelligence program. The admission offer typically includes fees, course curriculum, and other relevant information.
Fees
The cost of pursuing an MTech in Artificial Intelligence can vary depending on several factors, including the institution, location, and the type of program. The fees for the program can be a significant consideration for candidates planning to pursue the course. In general, the fees for MTech in Artificial Intelligence are higher than the fees for undergraduate programs due to the specialised nature of the program.
The average fees for the MTech in Artificial Intelligence program can range from INR 1.5 lakhs to INR 5 lakhs per annum in India. However, the fees may vary significantly depending on the type of institution. For instance, government-funded institutions tend to have lower fees than private institutions. Additionally, the fees may also differ based on the institution's location. Institutes in metropolitan cities generally have higher fees than institutions in smaller towns or rural areas.
Top Institutes Offering MTech in Artificial Intelligence
India rapidly emerges as a hub for artificial intelligence education, research and development. Many top institutes in India offer MTech programs in Artificial Intelligence. Here are some of the leading institutes offering MTech in Artificial Intelligence in India:
Indian Institute of Technology (IIT) Delhi - IIT Delhi is one of the most prestigious institutes in India for engineering and technology education. The MTech program in Artificial Intelligence offered by IIT Delhi is a highly specialised course designed to provide in-depth knowledge of AI and its applications.
Indian Institute of Technology (IIT) Kharagpur - IIT Kharagpur is another top-ranked engineering institute in India that offers an MTech program in Artificial Intelligence. The course is designed to provide students with advanced knowledge of AI and its applications, including machine learning and deep learning.
International Institute of Information Technology (IIIT) Hyderabad - IIIT Hyderabad is a leading institute in India for computer science and engineering education. The MTech program in Artificial Intelligence offered by IIIT Hyderabad is designed to provide students with a strong foundation in AI and its applications.
Indian Statistical Institute (ISI) Kolkata - ISI Kolkata is a premier institute in India for statistics and mathematics education. The MTech program in Artificial Intelligence offered by ISI Kolkata is designed to provide students with rigorous AI and machine learning training.
Indian Institute of Information Technology (IIIT) Allahabad - IIIT Allahabad is a highly ranked institute for computer science and engineering education. The MTech program in Artificial Intelligence offered by IIIT Allahabad is designed to provide students with advanced knowledge of AI and its applications.
Indian Institute of Technology (IIT) Hyderabad - IIT Hyderabad is a young and dynamic engineering and technology education institute in India. The MTech program in Artificial Intelligence offered by IIT Hyderabad is designed to provide students with a comprehensive understanding of AI and its applications.
PSG College of Technology, Coimbatore - PSG College of Technology is a well-known engineering and technology education institute in India. The MTech program in Artificial Intelligence offered by PSG College of Technology is designed to provide students with a strong foundation in AI and its applications.
