M.TECH-AI & ML

Master of Technology in Artificial Intelligence and Machine Learning

BEST UNIVERSITY FOR M.TECH-AI & ML IN ROORKEE, UTTARAKHAND

Slide 1 Heading
Lorem ipsum dolor sit amet consectetur adipiscing elit dolor
Click Here
Slide 2 Heading
Lorem ipsum dolor sit amet consectetur adipiscing elit dolor
Click Here
Slide 3 Heading
Lorem ipsum dolor sit amet consectetur adipiscing elit dolor
Click Here

M.Tech in Artificial Intelligence (AI) and Machine Learning (ML) is a postgraduate program designed to provide students with advanced knowledge and expertise in the rapidly growing fields of artificial intelligence and machine learning. The program covers essential topics such as data science, deep learning, neural networks, natural language processing, reinforcement learning, AI algorithms, and big data analytics. Students also gain hands-on experience with machine learning models, AI-based systems, and real-world applications through labs, projects, and internships.

This M.Tech AI & ML program prepares students to develop innovative AI solutions, optimize systems, and tackle complex problems using machine learning techniques. Graduates are equipped to work in industries like healthcare, finance, automotive, robotics, e-commerce, and technology. With the rise of AI and ML technologies, professionals with an M.Tech in AI & ML are in high demand for roles such as AI engineers, data scientists, machine learning researchers, and AI consultants.

The program not only focuses on the technical aspects but also encourages research and development in AI and ML to stay ahead of technological advancements, making it a perfect choice for those looking to specialize in cutting-edge technology and contribute to the future of AI-driven solutions.

  • In-Depth Understanding of AI and ML: Equip students with a comprehensive understanding of artificial intelligence and machine learning principles, algorithms, and techniques to develop intelligent systems.

  • Hands-On Learning: Provide practical exposure to developing AI and ML models through project work, case studies, and real-world applications in areas such as data analytics, natural language processing, and computer vision.

  • Advanced Techniques: Teach advanced topics like deep learning, reinforcement learning, neural networks, and data mining, enabling students to solve complex problems and optimize systems using AI and ML methods.

  • Research and Innovation: Foster an innovative and research-oriented mindset, allowing students to explore new AI-driven technologies and machine learning models that can transform industries like healthcare, finance, automotive, and e-commerce.

  • Problem-Solving with AI: Develop the ability to analyze and solve real-world problems by applying AI algorithms, ML techniques, and big data analytics to improve business operations and create scalable solutions.

  • Industry-Ready Skills: Prepare students with the necessary skills and knowledge to excel in AI and ML-based roles, ensuring they are equipped for careers in AI engineering, data science, research, and more.

  • Ethics and AI Governance: Emphasize the importance of ethics and AI governance in developing responsible and fair AI systems, ensuring technology is used for the benefit of society.

  • Educational Qualification: Candidates must have a B.Tech or B.E. degree in Computer Science, Information Technology, Electronics Engineering, or a related field from a recognized university. Alternatively, a degree in mathematics or statistics may also be accepted for applicants with a strong technical background.

  • Minimum Marks: A minimum aggregate of 50-60% (or equivalent CGPA) in the undergraduate degree is typically required. Some institutions may set higher criteria based on their admission guidelines.

  • Entrance Exams: Candidates must qualify for national-level entrance exams such as GATE (Graduate Aptitude Test in Engineering) or university-specific exams for admission to the M.Tech AI & ML program. Some institutions may also offer direct admission based on academic merit.

  • Work Experience: Although not mandatory, work experience in the relevant field of computer science, software development, or AI/ML technologies can be an added advantage for admission in some universities.

  • Additional Requirements: Some universities may conduct interviews or written tests to assess the technical proficiency of candidates in areas such as programming, algorithms, and mathematics.

  • Common Entrance Exam Test (CUET)
  • 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 Learning (ML) offers exceptional career prospects in the rapidly evolving fields of technology, data science, and automation. Graduates can pursue roles such as AI/ML engineers, data scientists, machine learning researchers, AI consultants, data analysts, and software developers in top tech companies, research organizations, and startups. With the growing reliance on AI and ML technologies in industries like healthcare, finance, automotive, e-commerce, and cybersecurity, the demand for skilled professionals is at an all-time high. This program equips students with in-depth knowledge of advanced algorithms, neural networks, deep learning, and data analytics, preparing them for leadership roles in developing innovative AI solutions and systems. M.Tech. AI & ML graduates enjoy excellent career growth, high earning potential, job stability, and the opportunity to be at the forefront of technological advancements shaping the future.

    FAQs

    M.Tech in Artificial Intelligence and Machine Learning is a postgraduate program that provides in-depth knowledge and technical skills in AI and ML. The program focuses on developing advanced AI algorithms, data analysis, machine learning models, and applications across industries like healthcare, finance, and automotive.

    To be eligible for M.Tech AI & ML, candidates must have a B.Tech or B.E. degree in Computer Science, Information Technology, Electronics, or related fields with a minimum of 50-60% marks. Entrance exams like GATE or university-specific exams may be required for admission.

    The core subjects in M.Tech AI & ML include machine learning, deep learning, data science, neural networks, natural language processing (NLP), computer vision, reinforcement learning, and AI ethics.

    The M.Tech in AI & ML program typically takes 2 years to complete, consisting of four semesters, including theoretical courses, practical labs, and research projects.

    The scope of AI & ML is vast and growing, with applications spanning industries such as healthcare, finance, automotive, e-commerce, and robotics. The demand for skilled professionals in AI and machine learning continues to increase, offering a wide range of career opportunities.

    Graduates of M.Tech AI & ML can pursue roles such as AI Engineer, Machine Learning Engineer, Data Scientist, AI Researcher, NLP Engineer, Computer Vision Engineer, and AI Consultant in various sectors like technology, finance, healthcare, and automotive.

    Graduates of M.Tech in AI & ML can expect competitive salaries, typically ranging from ₹6 lakhs to ₹20 lakhs per annum, depending on the role, experience, and company. High-demand positions in AI engineering, data science, and machine learning research often command higher salary packages.

    * 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.