M.tech in Artificial Intelligence

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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 

AspectDescription
DegreeM.tech in Artificial Intelligence
DurationTypically 2 years of full-time study
EligibilityBachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) from a recognized institution with a minimum of 50% aggregate marks
Admission CriteriaPrimarily based on merit and performance in a qualifying entrance exam (e.g., GATE),
SpecializationsOpportunities 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 OpportunitiesArtificial 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 SalaryRs. 3,00,000/- to Rs. 15,50,000/-
Top InstitutesIITs, NITs, and Leading Engineering Colleges

Syllabus

First Year

Semester ISemester II
Graph TheoryRobot Programming
Electronics System DesignElectrical Actuators and Drives
Introduction to RoboticsImage Processing & Machine Vision
Machine and MechanicsRobotics Based Industrial Automation
Embedded SystemsRobotics Control System
Manufacturing System SimulationPrinciples of Computer-Integrated Manufacturing

Second Year 

Semester IIISemester IV
Artificial Intelligence and Neural NetworkComp Numerical Control Machines & Adaptive Control
System modelling and identificationManufacturing Systems Automation
Nano RoboticsRobot Economics
Robot VisionModern Material Handling Systems
Robotic SimulationGroup Technology and Cellular Manufacturing
PLC and Data Acquisition system__
Summer Internship__

Subjects 

Core SubjectsElective Subjects
Advanced Data Structures and AlgorithmsFoundation of Data Science
Mathematics for Artificial IntelligenceMachine Learning
Foundations of Artificial IntelligenceMulti-Agent Systems
Foundations of Data ScienceLiving Labs
Statistical Learning TheoryModeling and Simulation
Probabilistic Graphical ModelsAI in Natural Language Processing
Optimization TechniquesIntroduction to Game Theory
Reinforcement Learning

Average Fees 

Courses Average Fees 
M.tech in Artificial IntelligenceRs. 1,00,000/- to Rs. 5,50,000/- Per Annum

Eligibility Criteria

CriteriaDescription
QualificationBachelor’s degree in Engineering or Technology (B.E./B.Tech) in a relevant field from a recognized university or institution.
Academic PerformanceTypically, 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 ExamMany 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 CutoffDifferent 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/OBCUniversities often provide relaxation in eligibility criteria for candidates belonging to Scheduled Castes (SC), Scheduled Tribes (ST), and Other Backward Classes (OBC).
Non-GATE AdmissionsIn 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

ExamConducting Authority
GATE 2023Jointly conducted by IIT Bombay, Delhi, Guwahati, Kanpur, Kharagpur, Madras, Roorkee and the Indian Institute of Science (IISc) Bangalore
TANCET 2023Anna University
AP PGECET 2023Andhra University
SRMJEEE PG 2023SRM Institute of Science and Technology
VITMEE 2023VIT University
JNU CEE M.Tech 2023Jawaharlal Nehru University (JNU)
CUCET Engineering 2023Central Universities Common Entrance Test (CUCET)
BITS HD Admission Test 2023Birla Institute of Technology and Science (BITS)
Karnataka PGCET 2023Karnataka Examination Authority
TS PGECET 2023Osmania University
IIIT Delhi M.Tech Entrance Exam 2023Indraprastha Institute of Information Technology (IIIT)
Gujarat PGCET 2023Admission Committee for Professional Courses (ACPC)
OJEE PG 2023Odisha Joint Entrance Examination Board
ISI Admission Test 2023Indian Statistical Institute (ISI)
WBUT PGET 2023West Bengal University of Technology (WBUT)
MET PG 2023Manipal Academy of Higher Education
IPU CET M.Tech 2023Guru Gobind Singh Indraprastha University (GGSIPU)
GITAM GAT PGTA 2023Gandhi Institute of Technology and Management (GITAM)
LNMIIT M.Tech Admission 2023The LNM Institute of Information Technology
IIITM-K PG 2023Indian Institute of Information Technology and Management – Kerala
JIIT PGET 2023Jaypee Institute of Information Technology (JIIT)

Career opportunities for M.Tech in Artificial Engineering 

Career OpportunitySalary (Average Annual)Description
Machine Learning Engineer₹8,00,000 – ₹20,00,000Design, develop, and deploy machine learning models.
Data Scientist₹7,00,000 – ₹18,00,000Analyze data and derive actionable insights.
Artificial Intelligence Research Scientist₹8,00,000 – ₹20,00,000Conduct advanced AI research in academia or industry.
Natural Language Processing Engineer₹6,00,000 – ₹15,00,000Work on language-related AI applications and models.
Computer Vision Engineer₹8,00,000 – ₹18,00,000Develop computer vision solutions for various industries.
AI Consultant₹8,00,000 – ₹20,00,000Provide expert guidance on AI strategy and implementation.
Robotics Engineer₹7,00,000 – ₹18,00,000Design and build robotic systems with AI capabilities.
Data Engineer₹6,00,000 – ₹15,00,000Manage and optimize data pipelines and databases.
AI Product Manager₹10,00,000 – ₹25,00,000Lead the development of AI-driven products and services.
AI Ethicist₹7,00,000 – ₹18,00,000Ensure ethical and responsible AI development and usage.

Top Colleges in M.Tech in Artificial Intelligence in India 

CollegesCourse 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.

Our suite of predictors includes:

  • GATE Rank Predictor
  • GATE College Predictor

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:

  • GATE Counseling
  • Top Engineering Colleges
  • State-Level Counseling

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.

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