M.Tech. CSE (Specialization in Artificial Intelligence)

The developments in the IT world have set the stage for the next phase of transformation. Artificial Intelligence (AI), which can drastically alter the world we live in, is one of the highly discussed topics in the IT circles today. AI involves design and development of products and networks which can learn the needs of users and perform tasks/deliver accordingly. There is growing demand for qualified professionals who can contribute for advancement and develop applications for AI. CMR University has realised the need for creation of a talent pool and is offering the advanced M.Tech Artificial Intelligence program which helps students grasp the basics of designing machines which can learn and solve problems. The program exposes students to techniques and processes involved in design of AI machines and their limitations in application.

  • Reputed university with excellent campus and infrastructure
  • Best-in-class faculty
  • Curriculum designed as per current industry requirements
  • Program tailored to produce skilled and ready-to-deploy talent
  • Tech-enabled program delivery
  • 100% placement support*
(*Terms and conditions apply)

Program Details

The program is designed with an aim to ensure that students learn the basics of computer science and engineering and are thoroughly trained to become successful professionals in artificial intelligence domain.

  • Students can become experts to apply several powerful search techniques for automatically solving complex problems
  • Helps develop sufficient expertise in both the theory of machine learning and its application to data mining, so as to use these powerful techniques in a wide range of industrial contexts, like bioinformatics, electronic commerce and finance
  • Build mathematical models and apply them to a range of AI problems
  • Learn about various machine learning, image analysis, vision techniques, algorithms and resolve real time problems

Curriculum*

*Subject to change

  • Discrete Mathematics and Linear Algebra
  • Python Programming
  • Knowledge Representation and Reasoning
  • Machine Learning
  • Elective – I
  • Elective – II
  • Research Methodology & IPR
  • Pedagogy Studies
  • Deep Learning
  • Computer Vision
  • Elective –III
  • Elective –IV
  • Mini Project
  • Value Education
  • Elective – V
  • Open Elective
  • Internship
  • Project Work – I

Open Electives

  • Internet of Things
  • Cloud Computing
  • Data Analytics
  • Major Project and Dissertation

Program Electives

  • Natural Language Processing
  • Digital Image Processing
  • Fuzzy Logic
  • Genetic Algorithm
  • Data Visualisation
  • Reinforcement Learning
  • Time Series Analysis
  • Digital Signal Processing
  • Chat Bot Development
  • Recommender System
  • Pattern Recognition

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Duration: 2 Years | Full-time