M.Tech Artificial Intelligence Engineering – Bir tikendrajith university

Masters Of Technology Artificial Intelligence Engineering In Distance Education | Correspondence | Part Time | Online

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Duration:

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2 years (4 semesters)

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Universities:

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1 University

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Fees:

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26,500/-

per semester

Eligibility:

  • Candidates should have a B.Tech (Bachelor of Technology) or B.E. (Bachelor of Engineering) degree in Computer Science Engineering or a related field.

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    Program Overview

    The M.Tech in Artificial Intelligence program provides a comprehensive education in AI. You’ll study important areas such as machine learning, deep learning, and natural language processing. The program includes practical lab sessions, real-world projects, and internships to gain hands-on experience. Key subjects like computer vision, robotics, and data analysis are covered. You’ll also learn about the ethical and legal issues in AI. This course equips you with essential programming and analytical skills for a successful career in technology.

    Get More Information About The Program In One Place

    • Educational Qualification: A bachelor’s degree in Mechanical Engineering or a related field, typically with a minimum 50%
    • Entrance Exam: Some institutions require you to pass a relevant entrance exam. Common exams include:
    • GATE (Graduate Aptitude Test in Engineering): Widely accepted by many institutions in India.
    • Institution-specific Entrance Tests: Some universities or institutes may have their own entrance exams.

    Per semester 26,500/- (fee might vary university to university)

    Minimum 2 years and Maximum 4 years program

    • Research Opportunities:
      Engage in research projects and thesis work to contribute to advancements in the field.
    • Skill Development:
      Build strong programming and analytical skills essential for careers in artificial intelligence.
    • Advanced Tools:
      Learn to use cutting-edge AI tools and frameworks, such as TensorFlow and PyTorch.
    • Industry Exposure:
      Participate in internships to gain valuable experience and insights from the tech industry.
    • Hands-On Experience:
      Work on practical lab exercises and real-world projects to apply theoretical knowledge.
    • In-Depth Knowledge:
      Gain a thorough understanding of core AI concepts, including machine learning, deep learning, and natural language processing.
    • Core AI Concepts:
      Students will delve into fundamental AI topics such as machine learning, deep learning, and natural language processing.
    • Hands-On Learning:
      The program emphasizes practical experience through lab work, real-world projects, and industry internships.
    • Comprehensive Curriculum:
      Learn core AI concepts such as machine learning, deep learning, natural language processing, and data mining.
    • Practical Experience:
      Engage in hands-on labs, real-world projects, and internships to apply theoretical knowledge in practical settings.
    • Specialized Courses:
      Study advanced topics like computer vision, robotics, reinforcement learning, and big data analytics.
    • Ethical and Legal Insights:
      Explore the ethical considerations and legal frameworks related to AI technology.

    Course Syllabus

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    Duration: 2 years (4 semesters)

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    Rating: 4.4/5

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    4 Credits Per Subject

    Key Role of M.Tech

    • Foundations of AI: Provides a solid grounding in the basic principles and concepts of artificial intelligence, setting the stage for more advanced topics.
    • Machine Learning: Teaches algorithms and techniques for training models to recognize patterns and make predictions from data.
    • Deep Learning: Focuses on neural networks and advanced architectures used in tasks like image and speech recognition.
    • Natural Language Processing (NLP): Equips students with skills to process and analyze human language data, enabling applications like chatbots and language translation.
    • Computer Vision: Covers techniques for interpreting and understanding visual information from the world, such as object detection and image classification.
    • Robotics: Introduces students to the principles of robot design and control, integrating AI to enable autonomous operation.
    • Project Work and Internships: Offers practical experience through real-world projects and industry placements, ensuring students can apply their knowledge effectively.
    • Research and Thesis: Encourages innovation and in-depth exploration of specific AI topics, contributing to the advancement of the field.

    Talk to our academic counselors and know in detail how the program is designed to add in your career transformation.

    Admission Procedure

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    Online Form

    click here to visit the online application form of the university.

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    Enrollment

    Get a call back from a counselor, submit and verify your documents, and proceed to enroll for the program of your choice

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    Pay

    Pay fee through Netbanking/ Cards payments or using easy EMI with 0% interest

    Our Alumini

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    CIIS has the most dedicated staffs, they were very patient enough to answer my never ending queries. They are very experienced in handling and guiding their students !! It was the most pleasant experience and journey with them. Looking forward to collaborate for another enriching student’s experience with CIIS. Thank you all.

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    FAQs

    Let’s Clear Your Doubts

    CIIS is pioneer leading organization to provide Distance Education across world and traditional regular courses in India. We are imparting education to thousands of students and working professionals in India through various UGC, AICTE, Ministry of HRD Govt. of India approved national and internationally acclaimed Universities.

    • Time Flexibility
    • Affordable Fees and Flexible Payment Options
    • Individual Attention
    • Convenient Educational Methodology
    • Individual Counseling
    • eSupport
    • Excellent Globally Recognized Curriculum

    Graduates can pursue careers as AI engineers, data scientists, machine learning engineers, research scientists, and more in tech companies, research institutions, and startups.

    Some programs offer specializations in areas like computer vision, robotics, big data analytics, and reinforcement learning.

    Courses on AI ethics and law cover the ethical considerations and legal frameworks related to AI technology.

    Institutions typically offer academic advising, career counseling, and access to labs and research facilities.

    Yes, an MTech in Distance Education from a recognized and accredited institution is valid in India. However, it’s essential to ensure that the program is offered by a university or institution approved by the Distance Education Bureau (DEB) or a relevant accrediting body.

    To ensure the validity of your MTech in Distance Education, check that the program is offered by a university recognized by the University Grants Commission (UGC) or another legitimate accrediting body in India. Verify that the institution is also approved by the Distance Education Bureau (DEB).

    Got More Questions?

    Talk to our team, our program advisor will reach out of you.