cmr.edu.in
programmes Apply now

M.Tech in Artificial Intelligence

Focuses on advanced concepts and research in artificial intelligence. Covers areas such as machine learning, natural language processing, computer vision, and data mining.

Emphasizes research, experimentation, and the development of AI-based solutions.

Includes a thesis or research project in collaboration with industry or academia..

Taught by experienced faculty with expertise in AI./p>

duration

3 Years

Programme type

Full time

Eligibility Criteria

  • Candidates must have a minimum of 50% marks (45% in case of SC/ST candidates) in

  • B.E./B.Tech in CSE/ISE/IT/ECE/EEE/Mechanical or M.Sc. in CS/IS/IT/Mathematics or MCA.

Key Features

Choice-Based Credit System (CBCS): The university follows CBCS, which allows students to choose courses and earn credits based on their performance

Grades and GPA: Students are awarded grades for each course in a semester, and their Semester Grade Point Average (SGPA) is calculated to measure their academic performance. Cumulative Grade Point Average (CGPA) is used to evaluate the overall performance of a student across all semesters.

Prescribed Curriculum: Each program has a prescribed curriculum or Scheme of Teaching and Evaluation, which includes the required courses, laboratories, and other degree requirements. It also incorporates SWAYAM and Massive Open Online Courses (MOOCs) offered by reputed institutions.

Auditing Courses: Students have the option to audit courses, which allows them to gain additional exposure without the pressure of obtaining a grade. This can give them an advantage in placements.

Evaluation System: The evaluation of students is comprehensive and continuous throughout the semester. It consists of Continuous Internal Evaluation (CIE) and Semester End Examination (SEE). CIE and SEE carry equal weightage of 50% each, resulting in a total evaluation of 100 marks for each course, regardless of its credit value.

Assessment Methods: Before each semester, faculty members may choose assessment methods such as assignments, seminars, quizzes, group discussions, case studies, practical activities, class presentations, industry reports, etc., with suitable weightage for each.

Semester End Examination: A Semester End Examination is conducted for all registered courses at the end of each semester. However, some courses that already have Continuous Internal Evaluation may not require a SEE. Makeup Examinations: Students who fail the Semester End Examination in one or more courses are eligible for makeup examinations, which provide an opportunity to retake the failed exams and improve their grades.

Infrastructure

FAQs

Ans. M.Tech in Artificial intelligence eligibility is similar to the eligibility required to pursue an M.Tech in Computer Science. Here are the specifics that need to be fulfilled to be eligible to pursue M.Tech in Artificial Intelligence -
Students who have graduated with a minimum of 50% marks ( 45% in case of SC / ST) with a background in BE or B.Tech in the following stream -

Ans. M.tech in Artificial Intelligence in itself is a vast subject. There are many concepts that the students are made aware of and taught throughout this three-year, part-time, weekend program.
A few core subjects included in this program are -

  • Machine Learning,
  • Data Structures,
  • Database Management System,
  • Neural Networks,
  • Automatic Programming,
  • Graph Theory,
  • Embedded System,
  • Problem Solving and Reasoning.

p>Ans. Career options after M.Tech in Artificial Intelligence are endless and highly rewarding. A few career options after completing M.Tech in Artificial Intelligence in Bangalore are -

  • Software Developer,
  • AI Researcher,
  • Prompt Engineer,
  • Data Scientist,
  • Data Engineer, and more.

Graduates can also pursue further studies as Ph.D. students and publish research papers. Researchers in this field are sought after as the application of Artificial Intelligence is still in its infancy stage.

The opportunities after completing M.Tech in Artificial Intelligence are endless. After completing this program at CMRU, students have knowledge of the workings of Artificial Intelligence and their application. This allows graduates to use the various skills and tools learnt during this course to solve complex problems efficiently. The experience gained through this course also allows the students to think out of the box for solutions in difficult situations, thanks to the many projects that the students have worked on during the program.

The future of Artificial Intelligence is prosperous. The advent of Artificial Intelligence has led to fear of losing jobs. Still, one thing that many people need help understanding is how they can learn and use Artificial Intelligence to improve their efficiency at their jobs. Courses on Artificial Intelligence teach a way to use AI to solve complex problems more efficiently, thereby allowing users to do their jobs more efficiently. With this in mind, it is safe to say that courses on AI have a bright future.

ACCP AY(2025-26)