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Study Engineering

Engineering is a stream of education that involves the application of Science, Technology and Mathematics to innovate, design, develop and maintain machines, structures, software, hardware and systems & processes. This field offers a range of career opportunities across all industries, making it one of the most sought after course pursued by students after Class XII, especially those from the Science stream.

  • Electronics and communication Engineering
  • Electrical Engineering
  • Mechanical engineering
  • Information Technology
  • Artificial intelligence
  • Data Science
  • Artificial intelligence and machine learning
  • Agriculture Engineering
  • Food technology
  • Tech in Cyber security
  • Information Science and engineering
  • Biomedical Engineering
  • Electronics and Instrumentation Engineering
  • Mechatronics
  • Instrumentation and Control
  • Mining Engineering
  • Production engineering
  • Dairy technology
  • Marine Engineering
  • Big Data Analytics
  • Automation and Robotics
  • Petroleum Engineering
  • Instrumentation Engineering
  • Ceramic Engineering
  • Chemical Engineering
  • Structural Engineering
  • Transportation Engineering
  • Construction Engineering
  • Power Engineering
  • Robotics Engineering
  • Textile Engineering
  • Smart Manufacturing & Automation
  • Aeronautical Engineering.
  • Automobile Engineering.
  • Civil Engineering.
  • Computer Science and Engineering.
  • Biotechnology Engineering.
  • Electrical and Electronics Engineering.
  • Automation and Robotics.
  • Petroleum Engineering.
  • Information technology

No matter the industry, a diverse range of skills is necessary to excel as an engineer. Here is a sampling of some of the most common skills employers look for, as well as examples of how to showcase them in your resume.

  1. Problem-solving
  2. Computer science
  3. Industry skills
  4. Pressure management
  5. Teamwork
  6. Creativity
  7. Structural analysis Communication
  8. Attention to detail
  9. Educational commitment
  10. Data modeling
  11. Leadership