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M.Tech. CSE (Artificial Intelligence) Programme

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.

duration

4 Years

Programme type

Full time

Eligibility Criteria

Candidates should have passed B.E./B.Tech. in CSE/ISE/IT/ECE/EEE/Mechanical/Civil (Any circuit/non-circuit Engineering departments) or M.Sc. in CS/IS/IT/Mathematics or MCA degree with a minimum of 50% marks (45% for SC/ST candidates) from a recognized university.

Key Features

  • Apply knowledge of mathematics, science, engineering fundamentals, and Computer Science to solve complex engineering problems.
  • Identify, formulate, review research literature, and analyze complex engineering problems, reaching substantiated conclusions using mathematics, basic sciences, and Computer Science.
  • Design solutions for complex engineering problems using appropriate knowledge of Computer Science in sectors such as health, education, banking, and supply chain.
  • Use research-based knowledge and methods, including experiments, data analysis, and cryptographic algorithms, to draw valid conclusions.
  • Create, select, and apply appropriate techniques and IT tools (e.g., WireShark, Metasploit, Cuckoo, Sandbox, YaraRules) to build models in Computer Science.
  • Assess societal, health, safety, security, legal, and cultural issues and responsibilities in professional engineering practice.
  • Understand the impact of Computer Science and engineering solutions on society and the environment and demonstrate the knowledge for sustainable development.
  • Apply ethical principles and commit to professional ethics and responsibilities in engineering practice.
  • Work effectively as an individual, and as a member or leader in diverse teams and multidisciplinary settings.
  • Communicate effectively on complex engineering activities, including writing reports, creating design documentation, making presentations, and giving and receiving instructions.
  • Demonstrate knowledge and understanding of Computer Science concerns, applying them to work and managing projects in multidisciplinary environments.
  • Recognize the need for, and have the ability to engage in, independent and lifelong learning in Computer Science.

What expertise will you gain?

Software and Web Development

Programming Languages

Database Management

Operating Systems

Algorithms and Data structures

Career Opportunity

  • Software Developer
  • Web Developer
  • database administrator
  • network administrator
  • artificial intelligence specialist
  • cybersecurity analyst
  • system analyst

Placements at

CMR University

200+ Recruiters, Pre-Placement modules from first semester focus on employability, emphasis on experiential learning, extensive focus on Internships, Training for competitive examinations – CAT, GRE, TOEFL, CMAT, Bank PO, and more.

Testimonials

Recent Blogs

FAQs

Pursuing an MTech in Computer Science in Bangalore at CMR University gives you access to expert faculty, 200+ recruiters, and hands-on research in AI. With industry-academic collaborations, internship support, and training for competitive exams, it’s an ideal environment for future-ready computer science professionals.

At CMR University, the MTech in Computer Science in Bangalore program offers specialization in Artificial Intelligence. It covers machine learning, NLP, computer vision, and data mining, emphasizing research and innovation. You’ll also gain skills in web development, programming, algorithms, and more to meet evolving tech industry demands.

The eligibility for an M.Tech in Artificial Intelligence is similar to the eligibility required for pursuing an M.Tech in Computer Science. To be eligible for M.Tech in Artificial Intelligence, students must meet the following criteria:

Students who have graduated with a minimum of 50% marks (45% in the case of SC/ST candidates) with a background in BE or B.Tech in any of the following streams:

  • CSE
  • ISE
  • IT
  • ESE
  • EEE
  • Or M.Sc. in CS, IS, IT, Mathematics, or MCA.

M.Tech in Artificial Intelligence is a vast field, and there are numerous concepts that students are introduced to and taught throughout this three-year, part-time, weekend programme. A few core subjects included in the programme are:

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

Career opportunities after completing M.Tech in Artificial Intelligence are vast and highly rewarding. A few career options in Bangalore after completing M.Tech in Artificial Intelligence include:

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

Graduates may also pursue further studies, such as Ph.D. programmes, and engage in research, publishing papers. Researchers in this field are in high demand, as the application of Artificial Intelligence is still in its early stages.

The opportunities after completing M.Tech in Artificial Intelligence are limitless. Graduates of the programme at CMRU possess a deep understanding of the workings and applications of Artificial Intelligence. This enables them to use the various skills and tools learned during the course to solve complex problems efficiently. The practical experience gained through the course also encourages students to think outside the box and find solutions in challenging situations, thanks to the many projects completed during the programme.

The future of Artificial Intelligence is bright. While the advent of AI has caused some concerns about job displacement, what many people fail to understand is how they can learn and apply AI to improve efficiency in their jobs. Courses on Artificial Intelligence teach students how to use AI to solve complex problems more efficiently, thus enabling users to be more productive in their roles. Given this, it is safe to say that courses in AI have a promising future.

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