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Home > News & Articles > MTech in Artificial Intelligence: Admission, Colleges, Eligibility, Syllabus 2024
Updated on 17th April, 2024 , 14 min read
Artificial Intelligence (AI) is no longer just science fiction. It has become a part of our daily lives, from Siri to Alexa, and it's only going to grow in the coming years.
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The full form of MTech in Artificial Intelligence is Master of Technology in Artificial Intelligence. It is a two-year postgraduate course. This course specializes in the study and practical use of artificial intelligence, covering topics like machine learning, natural language processing, computer vision, and robotics.
Admission into this course is done mainly on an entrance basis. MTech in AI entrance exam includes GATE, IPU CET, IIT JAM, and TANCET.
MTech in AI eligibility is BE/BTech in Computer Science or Artificial Intelligence with 50% aggregate.
The fees for MTech in AI are INR 50,000 – 5 Lakhs. Some of the top MTech in AI colleges are IIT Hyderabad, Amrita Vishwa Vidyapeetham, and IIT Ropar.
MTech in AI syllabus includes topics on Introduction to Artificial Intelligence, AI Applications, and Case Studies, Big Data Analytics and Data Mining, Computer Vision Machine Learning, and Deep Learning.
MTech in AI jobs are Game Programmer, Robotic Scientist, Computer Scientist, and Software Engineer. MTech in AI salary ranges from INR 5 – 15 LPA.
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More Engineering Courses:
Details | Particulars |
Course Name | MTech in Artificial Intelligence |
Course Level | Postgraduate |
Course Full Form | Master of Technology in Artificial Intelligence |
Course Duration | 2 Years |
Admission Process | Entrance Based. |
Eligibility Criteria | BE/BTech in Computer Science or Artificial Intelligence with 50% aggregate. |
Entrance Exams | |
Course Fees | INR 50,000 – 5 Lakhs |
Top Colleges | |
Average Salary in India | INR 5 – 15 LPA |
Job Profiles | Game Programmer, Robotic Scientist, Computer Scientist and Software Engineer. |
Top Recruiters | IT Services Companies, Product-Based Technology Companies, Research and Development (R&D) Labs, Data Analytics and Consulting Firms, Startups, and Innovation Hubs. |
MTech in Artificial Intelligence is a postgraduate program that specializes in the study and practical use of artificial intelligence, covering topics like machine learning, natural language processing, computer vision, and robotics. Graduates can pursue a career in numerous fields, including healthcare, finance, and technology.
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Pursuing an MTech in Artificial Intelligence (MTech in AI) offers several compelling reasons. Here are some key advantages:
MTech in Artificial Intelligence is the perfect course for people who are passionate about machine learning, natural language processing, computer vision, and robotics and want to learn more about them. However, it might be a good fit for the following potential candidates:
Depending on the university and the curriculum, MTech in Artificial Intelligence in India normally lasts between 2 - 3 years. Most Indian colleges provide full-time MTech in Artificial Intelligence. A full-time course typically lasts 2 years, divided into 4 semesters. There are 6 months per semester, which include academic instruction, laboratory work, projects, and exams.
The cost of pursuing an MTech in Artificial Intelligence degree in India varies between institutions and locations. While the fees for the program typically range from INR 50,000 to INR 5 lakh per year, it's important to note that top-rated colleges may charge more due to the quality of education they offer.
Therefore, when selecting an MTech in Artificial Intelligence college in India, applicants should not only consider the fee structure but also other factors such as faculty experience and placement opportunities that could impact their career prospects.
As an aspiring MTech in Artificial Intelligence student in India, one has numerous options to choose from when it comes to selecting a college or university.
Some of the top-ranked institutions that offer this program include IIT Delhi, IIT Hyderabad, Indian Institute of Science in Bangalore, Vellore Institute of Technology, National Institute of Technology Karnataka, and SRM University.
Given below is a list of the top colleges that offer MTech in AI along with their fees and placement packages:
Name of the College | Location | Average Annual Fees | Average Placement Package |
Coimbatore | INR 1,83,250 | INR 8,78,000 | |
Ropar | INR 2,00,000 | INR 7,52,000 | |
Hyderabad | INR 5,00,895 | INR 13,54,000 | |
Bangalore | INR 85,000 | INR 5,28,000 | |
Chennai | INR 1,25,500 | INR 6,00,000 | |
Pune | INR 1,50,000 | INR 10,00,000 | |
New Delhi | INR 4,50,000 | INR 9,00,000 |
Must Read: Top Engineering Colleges in India (NIRF Ranking 2023)
To get selected for MTech in Artificial Intelligence applicants must appear for entrance exams followed by interviews and group discussions. A valid GATE score in computer science is mandatory for applying. Usually, the admission for this course is done entrance-based, however, some colleges consider merit as well.
Below is an overview of both the modes of admission:
Candidates often need to appear for admission tests held by various colleges or institutes to pursue an MTech in Artificial Intelligence in India. These entrance tests evaluate applicants' aptitude and subject matter expertise.
Given below are the details of some of the entrance exams conducted by various universities along with their details:
Entrance Exam Name | Registration Dates | Exam Date |
2nd Week of February 2024 | 2nd Week of May 2024 | |
30th August 2023 | 3rd, 4th, 10th, and 11th 2024 | |
3rd Week of January 2024 | 12th May 2024 | |
AP PGECET 2024 | 3rd Week of March 2024 | Last Week of May 2024 |
Karnataka PGCET 2024 | 1st Week of June 2024 | 1st Week of August 2024 |
TS PGECET 2024 | 1st Week of March 2024 | Last Week of May – 1st Week of June 2024 |
Gujarat PGCET 2024 | Last Week of June 2024 | 3rd Week of July 2024 |
Further Reading: MTech Entrance Exams
The syllabus for entrance exams for MTech in Artificial Intelligence may vary slightly between different exams and institutions. However, here is a general overview of the topics that are commonly included in the entrance exam syllabus for MTech in AI:
Subjects | Topics |
Mathematics | Linear Algebra Calculus (Differential and Integral) Probability and Statistics Numerical Methods |
Computer Science and Programming
| Data Structures and Algorithms Operating Systems Computer Networks Object-Oriented Programming (OOP) concepts Databases and SQL Discrete Mathematics Compiler Design |
Artificial Intelligence and Machine Learning
| Introduction to AI and its applications Machine Learning algorithms (Supervised, Unsupervised, and Reinforcement Learning) Deep Learning and Neural Networks Natural Language Processing (NLP) Computer Vision AI and Machine Learning applications |
Logical Reasoning and Analytical Ability
| Logical reasoning Analytical and problem-solving skills Data interpretation |
General Awareness | Current Affairs General Science Technology-Related News |
The MTech in Artificial Intelligence subjects offers a comprehensive study of several topics such as ML algorithms, Deep Learning techniques, Computer Vision technology, Robotics Automation, and more.
Given below are some of the common topics taught in MTech in Artificial Intelligence along with the topics covered:
Subjects | Topics |
Introduction to Artificial Intelligence | Intelligent Agents and Environments Search Algorithms Knowledge Representation and Reasoning Planning and Decision Making Machine Learning Basics |
Machine Learning and Deep Learning
| Supervised Learning Algorithms (e.g., Decision Trees, Support Vector Machines) Unsupervised Learning Algorithms (e.g., Clustering, Dimensionality Reduction) Neural Networks and Deep Learning Reinforcement Learning Transfer Learning Evaluation and Validation of Machine Learning Models |
Natural Language Processing (NLP)
| Language Models Text Classification and Sentiment Analysis Named Entity Recognition Language Generation and Machine Translation Question Answering Systems Information Retrieval and Text Mining |
Computer Vision
| Image Processing Techniques Feature Extraction and Selection Object Recognition and Tracking Image Classification and Segmentation Deep Learning for Computer Vision 3D Computer Vision |
Big Data Analytics and Data Mining
| Big Data Processing Techniques Data Preprocessing and Cleaning Association Rule Mining Clustering and Classification of Big Data Stream Data Mining Handling Noisy and Incomplete Data
|
AI Applications and Case Studies
| AI in Healthcare AI in Finance AI in Robotics and Automation AI in Natural Language Processing AI in Computer Vision AI in Recommender Systems |
The curriculum of MTech in Artificial Intelligence includes Specializations in MTech computer science and semester-wise coursework with valid gate score eligibility criteria. In addition to the core courses, the program also offers elective courses providing career opportunities in healthcare, information technology, and data management.
Given below is an overview of the syllabus of MTech in Artificial Intelligence, semester-wise and year-wise:
MTech in Artificial Intelligence: Syllabus 1st Year | |
Semester - 1 | Semester - 2 |
Artificial Intelligence Foundations | Deep Learning and Neural Networks |
Machine Learning | Natural Language Processing (NLP) |
Probability and Statistics for AI | Computer Vision |
Programming for AI | Reinforcement Learning |
Mathematical Foundations for AI | Big Data Analytics and Data Mining |
MTech in Artificial Intelligence: Syllabus 2nd Year | |
Semester - 3 | Semester - 4 |
Advanced Topics in AI (Specialization Elective) | Project Work and Thesis |
Research Methodology and Project Planning | Ethics and Social Implications of AI |
Elective Course 1 | Elective Course 3 |
Elective Course 2 | Elective Course 4 |
Given below are the names of some recognized books along with their authors in the field of Artificial Intelligence that a candidate must read to gain further knowledge in the course:
Book Name | Authors |
Artificial Intelligence: A Modern Approach | Stuart Russell and Peter Norvig |
Deep Learning | Ian Goodfellow, Yoshua Bengio, and Aaron Courville |
Pattern Recognition and Machine Learning | Christopher M. Bishop |
Natural Language Processing with Python | Steven Bird, Ewan Klein, and Edward Loper |
Computer Vision: Models, Learning, and Inference | Simon J. D. Prince |
Reinforcement Learning: An Introduction | Richard S. Sutton and Andrew G. Barto |
Ethics of Artificial Intelligence and Robotics | Vincent C. Müller |
Data Mining: Concepts and Techniques | Jiawei Han, Micheline Kamber, and Jian Pei |
Features | MTech in Artificial Intelligence | MTech Robotics Engineering |
Course Name | Master of Technology in Artificial Intelligence | Master of Technology in Robotics Engineering |
Overview | The study of intelligent systems and algorithms is emphasized in this course. | The design, development, and control of robotic systems are the main topics of this program. |
Course Level | Postgraduate | Postgraduate |
Admission Process | Entranced Based | Entranced Based |
Duration | 2 Years | 2 Years |
Average Course Fee | INR 50,000 – 5 LPA | INR 1 – 5 LPA |
Eligibility Criteria | Bachelor's degree in relevant discipline from a recognized university with an aggregate of at least 50% marks. | Bachelor's degree in relevant discipline from a recognized university with an aggregate of at least 50% marks. |
Top Colleges | IIT Hyderabad, IIT Ropar, Indraprastha Institute of Information Technology and Amrita Vishwa Vidyapeetham. | SRM Institute pf Science and Technology, IIT Roorkee, Parul University, and Amity University. |
Average Salary | INR 5 – 15 LPA | INR 4 – 10 LPA |
Employment Areas | Graduates with this specialization can work on developing AI-based solutions in a wide range of domains, such as healthcare, finance, e-commerce, marketing, and cybersecurity. | Graduates can pursue careers in industries that require the design, development, and implementation of robotic systems, such as manufacturing, automation, healthcare, defense, and space exploration. |
Job Profiles | Game Programmer, Software Developer, Robotics Scientist etc. | Robotics Engineer, Robotics Programmer, Aerospace Engineer etc. |
Features | |||
NIRF Ranking 2023 | 33 | 15 | 8 |
Overview | IIT Ropar is one of the most prestigious institutes in India which offers many courses at the undergraduate, postgraduate and doctorate levels. | A deemed institution in Coimbatore called Amrita Vishwa Vidyapeetham provides a wide range of undergraduate, graduate, and research programs. | IIT Hyderabad is one of the most prestigious institutes in India which offers many courses at the undergraduate, postgraduate, and doctorate levels. |
Location | Rupnagar, Punjab | Coimbatore, Tamil Nadu | Hyderabad, Telangana |
Admission Process | Entrance Based | Entrance Based | Entrance Based |
Eligibility | Bachelor's degree in relevant discipline from a recognized university with an aggregate of at least 50% marks. | Bachelor's degree in relevant discipline from a recognized university with an aggregate of at least 50% marks. | Bachelor's degree in relevant discipline from a recognized university with an aggregate of at least 50% marks. |
Average Fees | INR 2,00,000 | INR 1,83,250 | INR 5,00,895 |
Average Placement Package | INR 7,52,000 | INR 8,78,000 | INR 13,54,000 |
Bangalore, also known as the Silicon Valley of India, tops the list of best cities for MTech in Artificial Intelligence jobs in India as it provides ample job opportunities with its numerous startups and tech companies.
Mumbai offers high-paying jobs in AI while Hyderabad has emerged as a hub for AI research and development with its thriving IT industry.
The region of Delhi/NCR houses several multinationals and startups actively hiring professionals with AI skills, while Pune is an attractive destination due to its research institutions and technology parks.
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Upon completing an MTech in Artificial Intelligence program, students have access to a vast array of career opportunities across industries such as healthcare, finance, and retail. Some popular job titles include roles such as data scientists, machine learning engineers or even research scientists with an average salary ranging between 5 - 15 LPA.
Given below are some of the popular job profiles along with their descriptions:
Job Profile | Job Description |
AI Engineer/Researcher
| Work on developing AI algorithms, models, and systems to solve complex problems. Design and implement machine learning and deep learning solutions |
Data Scientist | Analyze large datasets, build predictive models, and derive insights using statistical techniques and machine learning algorithms. |
Machine Learning Engineer | Develop and deploy machine learning models and systems. |
Natural Language Processing (NLP) Engineer | Build NLP models and systems for tasks such as text classification, sentiment analysis, language generation, and machine translation. |
AI Consultant | Provide consulting services to organizations seeking to adopt AI technologies |
Computer Vision Engineer | Develop computer vision algorithms and systems for tasks such as object detection, image recognition, and video analysis. |
Research Scientist | Work in research institutions or industrial research labs to advance the state-of-the-art in AI. |
The job market for MTech in Artificial Intelligence graduates in India offers an attractive salary structure. Starting salaries range between 6 - 10 lakhs per annum and can go up to over 20 lakhs per annum for experienced senior AI professionals. The industry-wise pay scale varies based on factors such as location and company size. Graduates can expect lucrative offers from industries such as finance, healthcare, and e-commerce.
Given below are the salaries offered to various job roles in the field of artificial intelligence:
Job Profile | Average Salary |
AI Engineer/Researcher | INR 6 – 20 LPA |
Data Scientist | INR 6 – 25 LPA |
Machine Learning Engineer | INR 4 – 20 LPA |
Natural Language Processing (NLP) Engineer | INR 3 – 20 LPA |
AI Consultant | INR 5 – 18 LPA |
Computer Vision Engineer | INR 2 – 21 LPA |
Research Scientist | INR 8 – 40 LPA |
Numerous job and career alternatives are available after the completion of this course. According to their interests and skills, students can select any vocation. Following are some of the top career options for graduates of the MTech Artificial Intelligence program:
The future of artificial intelligence appears to be promising with unlimited scope for growth. Professionals skilled in tech and machine learning are highly sought after in the current market scenario as they have extensive knowledge in analyzing big data and extracting meaningful insights out of it.
Pursuing an MTech in Artificial Intelligence program from a reputed institute like IIT can help one acquire expertise in core courses such as deep learning, algorithms, robotics, signal processing, and natural language processing. Graduates can explore diverse career opportunities such as Data Scientist, Machine Learning Engineer, or AI Researcher across various domains such as healthcare, finance, and technology.
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By - Nikita Parmar 2023-08-25 09:48:44 , 11 min readMTech in Artificial Intelligence is a postgraduate program that specializes in the study and practical use of artificial intelligence, covering topics like machine learning, natural language processing, computer vision, and robotics.
Master of Technology in Artificial Intelligence.
MTech in AI eligibility is BE/BTech in Computer Science or Artificial Intelligence with 50% aggregate.
MTechin AI syllabus includes topics on Introduction to Artificial Intelligence, AI Applications and Case Studies, Big Data Analytics and Data Mining, Computer Vision Machine Learning and Deep Learning.
The fees for MTech in AI is INR 50,000 – 5 Lakhs.
MTech in AI jobs are Game Programmer, Robotic Scientist, Computer Scientist and Software Engineer.
MTech in AI entrance exam includes GATE, IPU CET, IIT JAM and TANCET.
Some of the top-ranked institutions that offer MTech in Artificial Intelligence are IIT Delhi, IIT Hyderabad, Indian Institute of Science in Bangalore, Vellore Institute of Technology, National Institute of Technology Karnataka and SRM University.
MTech programs tend to have a more practical and application-oriented approach, emphasizing the development and implementation of AI technologies. MSc programs, on the other hand, may have a stronger theoretical foundation and focus on research aspects of AI.
MTech in Artificial Intelligence often includes a research component where students have the opportunity to work on cutting-edge research projects in collaboration with faculty members or industry partners.
While a background in computer science or a related field is typically preferred, some universities may offer bridge or preparatory courses to help students from non-computer science backgrounds acquire the necessary knowledge and skills required for MTech in Artificial Intelligence
The core subjects covered in MTech in Artificial Intelligence may include machine learning, deep learning, natural language processing, computer vision, robotics, data mining, pattern recognition, and intelligent systems.
The prerequisites for MTech in Artificial Intelligence may vary depending on the university or institution offering the program. However, typically, a bachelor’s degree in a relevant field such as computer science or engineering is required. Proficiency in programming languages, mathematics, and statistics is also beneficial.
Yes, there are universities and institutions that offer MTech in Artificial Intelligence through online or distance learning modes. These programs provide flexibility for working professionals or those unable to attend on-campus classes.
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