

B.Tech. in Computer Science & Engineering (Artificial Intelligence And Machine Learning)
- B++ NAAC accredited
- Private Institute
- Estd. 2009
B.Tech. in Computer Science & Engineering (Artificial Intelligence And Machine Learning) at Regent Education and Research Foundation Overview
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website |
Type of University | Private |
B.Tech. in Computer Science & Engineering (Artificial Intelligence And Machine Learning) at Regent Education and Research Foundation Frequently Asked Questions

For admission in a B.E. programme at Regent Education and Research Foundation, it is crucial that the aspirant fulfills the course-specific eligibility criteria. Thus, only the asiprants who have passed Class 12 with at least 45%-50% aggregate are eligible for admission. In addition, student should have passed the qualifying examination from a recognised board. Candidate must also hold the Class 12 mark sheet during application form filling and at the time of admission for verification purposes.

Courses | Eligibility |
---|---|
BBA | Candidate must have passed in 10+2 examination from any recognised board with English. |
BCA | Candidate must have passed 10+2 or equivalent examination from a recognised school/board. |
After 10th Diploma | Candidate must have passed the 10th standard (Madhyamik) Examination of the West Bengal Board of Secondary Education or its equivalent examination from any recognized Board/ Council/ Institute. Candidate appearing in the Secondary (Madhyamik) Examination of the West Bengal Board of Secondary Education or its equivalent examination are also eligible to apply. Candidate should not be born after 01.07.2008 and there is no upper age limit. |
B.E. / B.Tech | The lower age limit is 17 (seventeen) years as on 31.12.2022. A candidate should have been born on or before 31.12.2005. There is no upper age limit. |
MCA | Candidate who qualify eligibility as given below can also apply: Module 4 Candidate must have obtained a BSc Honours degree under (10+2+3) pattern in any discipline from a UGC recognised University/Institute with a minimum of 60% marks in Aggregate (45% marks for SC/ST/OBC-A/OBC-B candidates) along with at least 55% marks in Mathematics. They must secure at least 60% marks in Secondary and Higher Secondary or equivalent level from recognised Boards with at least 60% marks in Mathematics at each level. Candidate have to secure 60% marks (45% marks for SC/ST/OBC-A/OBC-B candidates) at each level of education. |



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B.Tech. in Computer Science & Engineering (Artificial Intelligence And Machine Learning) at Regent Education and Research Foundation Students also asked




Take a look at the table below depicting the Regent Education and Research Foundation placement trends for the past three years:
Particulars | Placement Statistics (2021) | Placement Statistics (2022) | Placement Statistics (2023) |
---|---|---|---|
the highest package | INR 1.80 LPA | INR 7 LPA | INR 5.50 LPA+ incentives of INR 3 LPA |
No. of students placed | 61 | 99 | 110 |

The RERF average package has not been released. However, the highest package has been disclosed, which is as follows:
Particulars | Placement Statistics (2023) |
---|---|
the highest package | INR 5.50 LPA+ incentives of INR 3 LPA |
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B.Tech. in Computer Science & Engineering (Artificial Intelligence And Machine Learning) at Regent Education and Research Foundation Contact Information
Bara kanthalia, P.O.: Sewli Telini Para
Kolkata ( West Bengal)
(For general query)
(For admission query)
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