B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
- Private University
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Guru Nanak University Overview
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Total Tuition Fees | ₹12.80 Lakh |
Official Website | Go to Website  |
Type of University | Private |
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Guru Nanak University Fees
| Fee components | Amount (4 years) |
|---|---|
The fees might include components other than tuition fees. | ₹ 12.80 Lakh |
₹ 12.80 Lakh |
These are based on information available on various sources. Latest values may differ.
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Guru Nanak University Placements
| Particulars | Statistics (2024) |
|---|---|
| % Batch placed | 80 |
Top Recruiters for Guru Nanak UniversityB.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Guru Nanak University Entry Requirements
- 45%
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Candidates must have passed 10+2 examination with Physics/ Mathematics / Chemistry/ Computer Science/ Electronics/ Information Technology/ Biology/ Informatics Practices/ Biotechnology/ Technical Vocational subject/ Agriculture/ Engineering Graphics/ Business Studies/ Entrepreneurship/ Agriculture stream (for Agriculture Engineering) must have obtained minimum mentioned marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together from recognized board.
- N/A
- N/A
- N/A
Candidates who have passed minimum 3 years Diploma examination with at least 45% marks (40% marks in case of candidates belonging to reserved category) subject to vacancies in the First Year, in case the vacancies at lateral entry are exhausted. (The Universities will offer suitable bridge courses such as Mathematics, Physics, Engineering drawing, etc., for the students coming from diverse backgrounds to prepare Level playing field and desired learning outcomes of the programme.
- Not mentioned
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