What are the steps of application for admission to BTech in CSE at Khalsa College of Engineering and Technology?
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Atul Mishra
Khalsa College of Engineering and Technology has below criteria for taking admissions to it's various courses:
Courses | Eligibility |
---|---|
B.E. / B.Tech | Candidates must have passed the 10+2 exam from a board recognised or established by Central/State Government through a legislation with Physics, Mathematics & Chemistry/ Biotechnology/ Biology/ Computer Science/ Technical Vocational Subject/ Information Technology/ informatics Practices/ Agriculture/ Engineering Graphics/ Business Studies & obtained the above mentioned percentage (40% in case of candidate belonging to reserved category) in the above subjects taken together. OR Candidates who have passed Diploma in any Engg. Trade from (PSBTE & IT) or Sant Longowal Institute of Engineering & Technology, Longowal, or any such examination from any other recognised State Board of Technical Education shall be eligible with the above mentioned percentage (40% in case of candidate belonging to reserved category). OR Candidates who have passed 2 years certificate course from Sant Longowal Institute of Engineering and Technology, Longowal shall be eligible. |
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Atul Mishra
Khalsa College of Engineering and Technology has been rated 4.3 for faculty as per reviews by students. This shows that Institute has qualified and experienced faculty members.
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Atul Mishra
Khalsa College of Engineering and Technology has been rated 4.3 on Infrastructure parameter.
Khalsa College of Engineering and Technology has also been rated 3.9 for Campuslife.
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Atul Mishra
Khalsa College of Engineering and Technology has been rated 3.9 on placements.
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Atul Mishra
Khalsa College of Engineering and Technology offers Degree courses including 5 UG course. These programs are offerred in Full Time mode. Khalsa College of Engineering and Technology has specializations such as B.Tech specializations in Computer Science Engineering, Civil Engineering, Mechanical Engineering, Electronics & Communication Engineering, Artificial Intelligence & Machine Learning.
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