M.Tech Artificial Intelligence and Data Science

M.Tech. Artificial Intelligence & Data Science program aims at serving the demand for the experts and engineers who can develop sophisticated and complex systems to work with or even to augment the humans in developing solutions and solving Engineering problems. The program content is designed to produce Engineers having exceptional technical skills for creating new AI systems and who also understand the nature of the human environments in which the systems they build will be deployed. This program will be a perfect blend of class works, internships at industries, research and projects.

DURATION: 2 YEARS

Important courses

  • Deep into Artificial Intelligence
  • Machine learning and interactive AI systems
  • Human cognition
  • Frameworks for Artificial Intelligence
  • Data Science
  • Data models and database design
  • Semantic information processing
  • Knowledge representation and reasoning
  • Collaborative system design
  • Natural Language Processing
  • Human Computer Interaction
  • Practicum in Intelligent Systems
  • Robotics
  • Data Management and Information Processing
  • Designing and Constructing Models with Multi-Agent Languages
  • Law and the Governance of Artificial Intelligence
  • Advanced Computer Vision
  • Machine Perception

CareerProspects

  • Computer Vision Engineer
  • Data Analyst
  • Algorithm Engineer
  • Research Engineer
  • Data Scientist
  • Data Engineer
  • ML Engineer
  • Computer Scientist
  • Principle Data Scientist
  • Big Data Architect
  • Business Intelligence Developer
  • Machine Learning Engineer
  • Robotics Programmer
  • Software Engineer
  • Video Game Programmer

Infrastructure

The department provides excellent computing infrastructure. The NVIDIA Centre for deep learning provides hands-on training in AI, accelerated computing, and accelerated data science. Students get practical experience on GPUs in the cloud in addition to self-paced online training, instructor-led workshops and content-rich course materials. Computing Security Research (CSR) Lab is an advanced research centre in the department provide a state of the art environment for research scholars, UG/PG students and faculty to pursue research in the areas of Security for Networks, Cloud Computing, Big Data Internet of Things, Software Defined Networks, etc. The Suse Centre of Excellence equips the students in the area of cloud computing and virtualization technologies. The IBM Big Data Software Centre of Excellence provides facilities for the students to learn and carry out projects in the areas of data science, machine learning and deep learning.