M.Tech - Computer Science and Engineering Artificial Intelligence

AI is the ability of a machine to display human-like capabilities such as reasoning, learning, planning and creativity.


The M. Tech AI syllabus can be divided into four semesters. It covers topics such as technologies to various study components such as Graph Theory, Electronics System Design, and Introduction to Robotics, Embedded Systems, and many more.

Program outcomes:

Engineering knowledge: To apply the knowledge of mathematics, wisdom, engineering fundamentals, and an engineering specialization to the result of complex engineering problems.

Ethics: To apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

Individual and Team: To function effectively as an individual, and as a member or leader in diverse teams, and multidisciplinary settings.

Modern tool usage: To Create, select and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitation.

Innovative: Drives scientific and societal advancement through technological innovation and entrepreneurship.

Inspiring and Collaborative: To become a leader and a responsible citizen whose strengths come from an ability to draw on and contribute to diverse teams, expertise, and experiences.

Broadly Educated and Versatile: Able to draw upon foundational knowledge, learn, adapt and successfully bring to bear analytical and computational approaches to changing societal and technological challenges.

Cultural and Global Awareness: Recognize the applicability of computing and evaluate its impact on individuals, organizations, and global society.

Problem Solving: Identify problems and formulate solutions for systems and organizations while reconciling conflicting objectives and finding compromises.

Technical Expertise: Apply knowledge of computing and mathematics within technical domains.

Professional Practice: Evaluate and use appropriate methods and professional standards in computing practice.

Practical knowledge:

Practical knowledge, which is an important part of technical education, can be achieved by a well-equipped Computer Laboratory. The Computer Laboratory is a basic component of the Institute’s infrastructure, providing a wide range of support to the students and faculties involved in research and other academic activities. The Laboratories provides the hands-on need of today’s industry requirements and what they learn in the classrooms. Our curriculum includes a wide variety of subjects to enhance the practical knowledge of the students, which are listed below:

  • Computer programming
  • Data structure
  • Design and analysis of algorithm
  • Object-oriented programming Language
  • Computer networks
  • Database management system
  • Operating system
  • Enterprise solutions
  • Embedded systems
  • Web technology
  • Platform Technology
  • Hardware and troubleshooting
  • Artificial intelligent Laboratory

Industries Hiring M. Tech CSE (AI) Degree Holders:

  • Financial services
  • Healthcare
  • Technology
  • Media
  • Marketing
  • Government and military
  • National security
  • IoT-enabled systems
  • Agriculture
  • Gaming
  • Retail

Jobs vacancies for M. Tech CSE (AI) Degree Holders:

  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence Developer
  • Research Scientist
  • Big Data Engineer/Architect


M. Tech AI jobs in India are in high demand and have a good job scope in today’s developing world. After the M. Tech AI course, any student can get placed in the M. Tech AI Course placements. Other than that, there are various job opportunities in both the private and government sectors.

Job openings are almost equal to the number of students, thus providing it for everyone. Depending on their skills, a wide range of roles are available, thus allowing even fresher’s to get a job of their choice and showing off the highjob scope.