MTech in Artificial Intelligence (MTech in AI)
Artificial Intelligence (AI) is no longer just science fiction. It has become a part of our daily lives, from Siri to Alexa, and it will only grow in the coming years. 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. In this article, we will learn about About MTech, MTech syllabus, duration, salary, career prospects and more.
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 jobs in AI include game programming, Robotics, Computer Science, and Software Engineering. MTech in AI Salary ranges from INR 5 – 15 LPA.
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MTech in Artificial Intelligence: Course Details
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. |
What is MTech in Artificial Intelligence?
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 careers in numerous fields, including healthcare, finance, and technology.
Further Reading: Machine Learning vs Artificial Intelligence
Why Should you pursue MTech in Artificial Intelligence?
Pursuing an MTech in Artificial Intelligence (MTech in AI) offers several compelling reasons. Here are some key advantages:
- Specialization in an Emerging Field: AI as a field is rapidly expanding and evolving. One can specialize in this cutting-edge technology and discover in-depth information about AI algorithms, machine learning strategies, natural language processing, computer vision, and other topics by pursuing an MTech in Artificial Intelligence.
- Career Opportunities: The demand for qualified workers in AI is growing, and earning an MTech in AI degree can lead to intriguing job options in healthcare, finance, e-commerce, robotics, automotive, and many more.
- Research and Development Opportunities: Research and development opportunities are available with MTech in AI. One can investigate cutting-edge AI ideas, participate in AI research initiatives, and present their findings at conferences and in journals.
- Future-Proofing Your Career: AI is positioned to influence the future, therefore by specializing in it, one can secure their career. There will be a rising need for individuals who are knowledgeable about and skilled with AI as the field develops.
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Who Should Pursue MTech in Artificial Intelligence?
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:
- Students with a BE/BTech in Computer Science or Artificial Intelligence with 50% aggregate.
- Individuals with a background in mathematics or statistics in areas like linear algebra, calculus, probability, and statistical modelling better understand and develop AI algorithms.
- Professionals working in data science and analytics roles who want to specialize in AI can benefit from pursuing an MTech in Artificial Intelligence.
MTech in Artificial Intelligence: Course Duration
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.
MTech in Artificial Intelligence: Fees
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.
Top MTech in Artificial Intelligence Colleges in India
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)
MTech in Artificial Intelligence: Admission Process
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:
MTech in Artificial Intelligence Admission: Merit Based
- An aspirant should score more than 50% marks in their undergraduate examinations to be eligible for merit-based admission.
- Apply to the desired college through their official website or by physically visiting the institution and filling out the application form.
- Make sure to check the eligibility criteria and have all the required documents (10th and 12th Certificates, Aadhar Card, Photographs, etc.) in hand.
- Merit lists are usually updated on the official website of the colleges and need to be checked regularly by the aspirant.
- If selected, the aspirant can pay the required fees and the admission process will be complete.
- Finally, candidates must attend the counselling or orientation organized by the institution for further details, if selected from the merit list.
MTech in Artificial Intelligence Admission: Entrance-Based
- Apply to the desired college through their official website or by physically visiting the institution and filling out the application form.
- The application form will require the candidates to register themselves with an email ID, password, and mobile number along with academic and course details.
- The candidate is required to upload the necessary documents online, such as Photograph, 10th, and 12th Certificates, Aadhar Card, etc.)
- Once the form is complete, the candidate will be asked to pay a minimal application fee.
- It is advised to check the website regularly for updates on the admit card, entrance exam, and entrance exam syllabus.
- Admit cards will be issued to all the eligible students which will have important information such as the date of the examination, examination centre, and timings.
- The college/university will then publish lists according to their cutoff and seat availability.
- If selected, a candidate should pay the course fee as soon as possible and attend the orientation or counselling organized by the college for further information.
MTech in Artificial Intelligence: Eligibility
- Applicants eligible for admission into an MTech in Artificial Intelligence program specialized in artificial intelligence should hold a bachelor's degree in computer science or a related field with a minimum of 50% marks.
- A strong background in programming languages such as Python and Java is preferred, along with work experience or research exposure in AI-related fields.
- International students must clear standardized tests such as GRE or TOEFL to apply.
MTech in Artificial Intelligence: Entrance Exams
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:
- GATE (Graduate Aptitude Test in Engineering): GATE is one of the most widely recognized entrance exams for MTech admissions in India. The Computer Science and Information Technology (CS) paper of GATE covers topics related to AI and machine learning.
- IPU CET: Guru Gobind Singh Indraprastha University administers the IPU CET each year to select candidates for a variety of undergraduate and graduate degree programs.
- TANCET: Anna University administers TANCET once a year. The exam is given to narrow down the pool of applicants for admission to various postgraduate degree programs.
- IIT JAM (Indian Institutes of Technology Joint Admission Test for MSc): Some IITs offer MTech Artificial Intelligence programs that consider IIT JAM scores.
- IT MTech Entrance Exam: Several Indian Institutes of Information Technology (IITs) conduct their application exams for MTech admissions, including AI-related specializations. For example, IIT Hyderabad conducts a separate entrance exam for its MTech in Artificial Intelligence program.
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
MTech in Artificial Intelligence: Entrance Exams Syllabus
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 |
MTech in Artificial Intelligence: Subjects
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 |
MTech in Artificial Intelligence: Syllabus
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 |
MTech in Artificial Intelligence: Recommended Books
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 |
Course Comparison: MTech in Artificial Intelligence vs MTech Robotics Engineering
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. |
MTech in Artificial Intelligence: College Comparison
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 |
Best Cities for MTech in Artificial Intelligence Jobs in India
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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MTech in Artificial Intelligence: Jobs
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. |
MTech in Artificial Intelligence: Salary
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 |
MTech in Artificial Intelligence: Further Studies
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:
- PhD in AI: Students have the option of continuing their education with a higher degree that will enable them to secure lucrative compensation packages at the executive levels of a company.
- Additionally, students may apply for JRF or UGC NET.
MTech in Artificial Intelligence: Future and Scope
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 from 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.