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Computing and Emerging Technology

AI and Robotics Course Duration

Artificial intelligence, machine learning, perception, robot mechanics, sensors, embedded systems, control and autonomous machines.

B.E./B.Tech, M.E./M.Tech, B.Sc./M.Sc., diploma and research pathways

Compare undergraduate, postgraduate, integrated, doctoral, diploma and internship timelines.

AI and Robotics Course Duration

B.E. or B.Tech duration

A regular B.E. or B.Tech programme generally takes four years and contains eight semesters.

Academic stageTypical focus
First yearMathematics, science, programming and basic engineering
Second yearAlgorithms, electronics, mechanics, sensors and embedded systems
Third yearAI, machine learning, robotics, vision and control
Fourth yearAdvanced electives, internship and major project

M.E. or M.Tech duration

A full-time M.E. or M.Tech usually takes two years. It may contain advanced coursework, laboratories, research methodology, seminars and a dissertation.

Diploma duration

A diploma commonly takes approximately three years, although entry routes and durations differ.

Integrated-course duration

An integrated engineering programme may take approximately five years.

B.Sc duration

A B.Sc commonly takes three or four years depending on the curriculum and framework. It should be evaluated separately from B.Tech.

PhD duration

A PhD can take several years depending on coursework, research, publications and thesis evaluation.

Internships

Internships may involve:

  • AI software development
  • Industrial automation
  • Robot integration
  • Embedded programming
  • Computer vision
  • Autonomous vehicles
  • Drone systems
  • Manufacturing
  • Research laboratories
  • Healthcare robotics
  • Warehouse automation

The internship’s value depends on actual tasks rather than the employer’s name alone.

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Course at a Glance

  • Course AreaComputing and Emerging Technology
  • Study PathwaysB.E./B.Tech, M.E./M.Tech, B.Sc./M.Sc., diploma and research pathways
  • Primary FocusArtificial intelligence, machine learning, perception, robot mechanics, sensors, embedded systems, control and autonomous machines.

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