Ph.D. in Mechanical Engineering 

at PCET Coimbatore, Coimbatore

As per Shiksha verified reviews, Park College of Engineering and Technology - PCET has an impressive review rating of 2.38 by 43 students.

It covers both. The syllabus for B Tech in Electronics Engineering covers both via lab work and industrial projects. Both the theory classes and practical labs are important for students to understand the nuances of the field and become job-ready for the future.

Top recruiters in the business world also look for technical proficiency, practical knowledge, and theoretical understanding in the candidates who can excel at work and drive profitability.

Park College of Engineering and Technology - PCET provides programmes including MCA, M.E./M.Tech, B.E. / B.Tech, MBA/PGDM in streams such as IT & Software, Engineering, Business & Management Studies, and are excellent for students to build their careers. The institute has specializations in Aeronautical Engineering, Computer Science Engineering, Mechanical Engineering, Agriculture & Farm Engineering, Biomedical Engineering, Electrical Engineering, Electronics & Communication Engineering, Information Technology, Marine Engineering, Electronics Engineering, Robotics Engineering, Textile Engineering, Artificial Intelligence & Machine Learning, Cyber Security.

The fees range for courses offerred by the Park College of Engineering and Technology - PCET is around INR 35000 - INR 200000.

Park College of Engineering and Technology - PCET is a good institution for MCA, M.E./M.Tech, B.E. / B.Tech, MBA/PGDM courses, and these programs are delivered by highly experienced faculty. Major specialisation at Park College of Engineering and Technology - PCET are Aeronautical Engineering, Computer Science Engineering, Mechanical Engineering, Agriculture & Farm Engineering, Biomedical Engineering, Electrical Engineering, Electronics & Communication Engineering, Information Technology, Marine Engineering, Electronics Engineering, Robotics Engineering, Textile Engineering, Artificial Intelligence & Machine Learning, Cyber Security.