M.TECH-ARTIFICIAL INTELLIGENCE AND MACHINE VISION

Master of Technology in Artificial Intelligence and Machine Vision

BEST UNIVERSITY FOR M.TECH-ARTIFICIAL INTELLIGENCE AND MACHINE VISION IN ROORKEE, UTTARAKHAND

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M.Tech in Artificial Intelligence and Machine Vision is a specialized postgraduate program designed to equip students with advanced knowledge and skills in the fields of Artificial Intelligence (AI) and Machine Vision. This program focuses on the development of intelligent systems capable of processing and analyzing visual data, allowing machines to “see” and make decisions similar to humans. Students learn core AI techniques such as machine learning, deep learning, and neural networks, alongside cutting-edge computer vision methods to interpret and understand images, videos, and other visual inputs. The course prepares graduates for careers in industries like robotics, healthcare, autonomous vehicles, security, and automation, where AI and machine vision play a crucial role in transforming operations and creating innovative solutions. Through hands-on projects and industry collaboration, students gain practical experience in building AI-powered vision systems for real-world applications.

The M.Tech in Artificial Intelligence and Machine Vision program aims to provide students with advanced knowledge and practical skills in the fields of AI and machine vision. Key objectives include:

  • Master AI Techniques: Equip students with expertise in machine learning, deep learning, and neural networks to develop intelligent systems.
  • Enhance Machine Vision Skills: Teach students to design and implement systems capable of interpreting visual data through advanced image processing and computer vision techniques.
  • Problem Solving in Real-World Applications: Apply AI and machine vision to solve complex problems in industries like robotics, automation, healthcare, and security.
  • Research and Innovation: Foster a strong foundation in research, enabling students to contribute to advancements in AI and vision technologies.
  • Hands-on Experience: Provide practical training through industry projects and real-world case studies to prepare students for leadership roles in AI and machine vision development.

    • The eligibility criteria for the M.Tech in Artificial Intelligence and Machine Vision program are as follows:

  • Educational Qualification: Candidates must hold a B.Tech/BE degree in Computer Science, Information Technology, Electronics Engineering, or a related field from a recognized university.
  • Minimum Marks: A minimum of 50-60% aggregate marks (or equivalent CGPA) in the undergraduate program is generally required.
  • Entrance Exam: Admission is typically based on GATE (Graduate Aptitude Test in Engineering) scores. Some universities may also conduct their own entrance exams or offer merit-based admission.
  • Prior Knowledge: Some institutions may require a basic understanding of programming languages like Python, C++, and relevant concepts in machine learning or computer vision.
  • JEE Mains/JEE Advanced
  • University-Specific Exam (PUET)

    • Click here for a detailed Fee Structure.

    Admission open

    PLACEMENT

    CAREER PROSPECTS

     

    A Master of Technology (M.Tech.) in Artificial Intelligence (AI) and Machine Vision offers exciting career prospects in cutting-edge fields like robotics, automation, computer vision, and deep learning. Graduates can pursue roles such as AI researchers, machine vision engineers, computer vision specialists, AI consultants, data scientists, and automation experts in industries such as robotics, healthcare, automotive, security, and manufacturing. With the increasing demand for AI-powered solutions in automation, image processing, and visual recognition systems, the need for skilled professionals in AI and machine vision is rapidly growing. This program provides students with advanced expertise in AI algorithms, neural networks, image processing, pattern recognition, and computer vision, preparing them to develop innovative applications that transform industries. M.Tech. AI and Machine Vision graduates enjoy strong career growth, high earning potential, job stability, and the opportunity to work on revolutionary technologies shaping the future of automation and intelligent systems.

    FAQs

    An M.Tech in Artificial Intelligence (AI) and Machine Vision is a specialized postgraduate program that focuses on the study of AI technologies and their application in the field of machine vision. The course covers topics like machine learning, computer vision, deep learning, and neural networks to train students for careers in AI research and development.

    Graduates with an M.Tech in AI and Machine Vision have numerous career opportunities. They can work as AI Engineers, Machine Vision Specialists, Research Scientists, Data Scientists, Robotics Engineers, or Machine Learning Engineers in industries such as automotive, healthcare, defense, robotics, and entertainment.

    Key skills required for the M.Tech program in AI and Machine Vision include a strong foundation in programming (Python, C++, etc.), knowledge of algorithms, statistics, linear algebra, data structures, machine learning techniques, deep learning, and computer vision technologies.

    To be eligible for an M.Tech in Artificial Intelligence and Machine Vision, candidates typically need a Bachelor’s degree (B.Tech/B.E.) in Computer Science, Information Technology, Electronics, or a related field. A good academic record and sometimes valid scores from entrance exams like GATE or university-specific exams are also required.

    The duration of the M.Tech in AI and Machine Vision is typically two years, consisting of four semesters. The program includes theoretical coursework, practical labs, research projects, and a dissertation in the final year.

    The M.Tech program typically covers subjects like:

  • Machine Learning
  • Computer Vision
  • Deep Learning
  • Image Processing
  • Neural Networks
  • Natural Language Processing (NLP)
  • Robotics and Automation
  • AI Algorithms and Applications
  • Data Science and Big Data

    • Future trends in AI and Machine Vision include advancements in autonomous systems, AI-driven medical imaging, facial recognition technology, enhanced robotics, augmented reality (AR), and virtual reality (VR), as well as improved machine learning algorithms that can handle even more complex tasks.

    The scope for research in AI and Machine Vision is vast, with opportunities to work on cutting-edge projects in areas like autonomous vehicles, robotics, medical imaging, neural networks, and smart manufacturing. Students can engage in research projects, collaborations with industries, and internships that contribute to the field.

     

    * For further details, refer to T&C Click Here.

    The University offers hostel facilities with designated residential blocks for both boys and girls, available on a first-come, first-served basis. Accommodation is provided on a triple-sharing arrangement. Students who wish to avail themselves of on-campus hostel facilities are required to deposit the fee in advance.