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Masters in Embedded System & Application Development

  /  Masters in Embedded System & Application Development

Embedded System & Application Development (2 Years Master Program)

This master’s will enable candidate to specialize at a high level in a variety of Computer Science and embedded System program areas, and will give transferable skills to use in a diverse range of careers from software development to System programming to application integrated to Internet of things to Internet of Robotics Technology.

After completing this master’s program, candidates will be able to apply mathematical foundations, algorithmic principles, and computer science theory to real world problems and candidate will know how to analyse a problem and identify the computing requirements appropriate to its solution. Candidate will also possess the skills to design, implement, and evaluate a computer-based system, process, component, or program, and apply design and development principles to construct software systems of varying complexity.

This course provides an introduction to the role of intelligent technologies in engineering and science. Candidates learn about essential algorithms and theoretical foundations of machine learning, Artificial Intelligence, IOT and IORT.

This master’s program will make candidates to specialized in Full Stack Development, DevOps, Big Data Management, IoT and IoRT (Internet of things and Internet of Robotics Technology)

This master’s program prepares graduates for lucrative, high-level careers in computer and information technology (IT). Computer scientists design new computer technologies to solve problems in business, health care, science, and education.

SOME OF THE IMPORTANT HIGHLIGHTED MODULAR STRUCTURES

  • Computer Science
  • Computer Organizations & Architecture
  • Discrete Math for Computer Science
  • Computer Systems Security
  • Introduction to Programming
  • Advanced Software Analysis and design
  • Embedded Product design concept
  • Artificial  Intelligence
  • IOT Design &Architecture
  • Robotics Process Automation
  • Intro to Deep Learning in Visual Computing