

B.Tech. in CSE (Artificial Intelligence and Machine Learning)
- Private University
- Estd. 2018
B.Tech. in CSE (Artificial Intelligence and Machine Learning) at Sister Nivedita University Overview
Sister Nivedita University offers a 4 years B.Tech. in CSE (Artificial Intelligence and Machine Learning) at the UG level. Candidates need to fulfil the both eligibility and selection criteria to get admission in the course. The institution accepts the scores of CBSE 12th exam for admission to the course. The total tuition fee for B.Tech. in CSE (Artificial Intelligence and Machine Learning) is INR 8,00,000. Check below more details on Sister Nivedita University B.Tech. in CSE (Artificial Intelligence and Machine Learning):
Total Tuition Fees | ₹8.00 Lakh Get Fees details |
Duration | 4 years |
Course Level | UG Degree |
Mode of Course | Full Time |
Official Website | Go to Website |
Type of University | Private |
B.Tech. in CSE (Artificial Intelligence and Machine Learning) at Sister Nivedita University Fees
Sister Nivedita University B.Tech. in CSE (Artificial Intelligence and Machine Learning) fee is INR 8,00,000. The fee comprises of various components such as Tuition fees, Registration Fees, One-Tim Fees, Exam Fees, and others. Although, candidates may be required to pay additional charges at the time of admission. The below-mentioned are the Sister Nivedita University fees details:
Fee components | Amount (4 years) |
---|---|
The fees might include components other than tuition fees. | ₹ 8.00 Lakh |
₹ 8.00 Lakh |
B.Tech. in CSE (Artificial Intelligence and Machine Learning) at Sister Nivedita University Frequently Asked Questions

No, Sister Nivedita University does not offer direct admission for the BTech program. Sister Nivedita University's BTech is a four year undergraduate degree course. To get admission into the BTech Computer Science and Engineering (CSE) course, candidates must have a valid score in the JEE Main or WBJEE entrance exams.

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The university offers admission to courses at UG and PG levels under the stream of Engineering, Management, Science, Law, etc.
The average salary for B.Tech CSE at Sister Nivedita University are given below :
B.Tech. in Computer Science and Engineering at Sister Nivedita University Placements
Particulars Statistics (2022)
the highest Salary INR 7.50 Lakh
Median Salary INR 6.00 Lakh
the lowest Salary INR 5.00 Lakh
For more accurate and the latest information please visit the official website of Sister Nivedita University or by contacting the admission office.

The eligibility criteria for the B.Tech programme at Sister Nivedita University require applicants to have passed 10+2 or an equivalent examination with Physics, Chemistry, and Mathematics as compulsory subjects, with a minimum aggregate of 50% marks. Additionally, candidates must have appeared in the 10+2 stream in Science to be eligible for the B.Tech programme at the university.

The total tuition fee for BTech course at Sister Nivedita University ranges from INR 5.3 Lacs to INR 7 lakh. The BTech course is offered in 4 specialisations, namely Computer Science and Engineering, Computer Science and Business System, Electronics and Communication Engineering, and Electronics Engineering. Candidates need to fulfil the basic eligibility criteria to be able to apply for the course. Candidates can refer to the table below to know more about the BTech course at SNU:
Sister Nivedita University BTech Course | ||
---|---|---|
Total Tuition Fee | Eligibility | Selection Criteria |
INR 5.3 Lacs to INR 7 lakh | Passed/Appeared in Class 12 in Science Stream with a minimum of 60% marks | SNUET, JEE Main, WBJEE |

Sister Nivedita University offers a wide range of programmes, including BTech, BSc, BPharm, BA, MBA, MTech, MCom, MFA, and many more. Sister Nivedita University admission 2025 is entrance-based. The university conducts the SNUET exam for admission to most of the UG & PG courses. Candidates seeking admission to the BTech programme must be Class 12 passed in the Science stream with at least 60% aggregate.
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B.Tech. in CSE (Artificial Intelligence and Machine Learning) at Sister Nivedita University Placements
Particulars | Statistics (2023) |
---|---|
Median Salary | INR 5.00 Lakh |
B.Tech. in CSE (Artificial Intelligence and Machine Learning) at Sister Nivedita University Entry Requirements
B.Tech. in CSE (Artificial Intelligence and Machine Learning) at Sister Nivedita University Admission Process
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B.Tech. in CSE (Artificial Intelligence and Machine Learning) at Sister Nivedita University Students also asked

Sister Nivedita University recorded 97% placements in the academic year 2022-2023. The key highlights of SNU Kolkata placements for the Class of 2023 are tabulated below:
Particulars | Placement Statistics (2023) |
---|---|
the highest package | INR 51 LPA |
Average package | INR 6.50 LPA |
Placement rate | 97% |
Total recruiters | 270+ |
Top recruiters | Amazon, Deloitte, EY, Infosys, Wipro |

Sister Nivedita University offers seats in most of the programmes based on entrance-exam scores. SNUET is a common entrance exam conducted for all the UG & PG courses by the university. However, the university also accepts scores of national or state-level entrance exams such as WBJEE, GATE, etc. for specific programmes. Candidates must fulfil the basic eligibility requirements and qualify the respective entrance exams to confirm their admission.

Yes, Sister Nivedita University offers direct admission based on CUET-UG scores. Eligible candidates may be further contacted via email for counselling and admission. Shortlisted aspirants have to take admission by verification and submission of required documents. Candidates selected based on CUET-UG scores have to pay at least 50% of annual fee to confirm their seat in the university.

Sister Nivedita University considers Class 12 score for UG and graduation for PG programmes. The minimum aggregate required for admission varies course-wise. The aggregate ranges between 50% and 60% for most of the programmes. Hence, aspirants with 70% can get admission provided they also fulfil the selection requirements.
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