Sister Nivedita University
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) 

  • Private University
  • Estd. 2018

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Overview

Total Tuition Fees

9.03 Lakh
Get Fees details

Duration

Course Level

UG Degree

Mode of Course

Full Time

Official Website

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Seat breakup

240

Type of University

Private
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Fees

Fee componentsAmount (4 years)
9.03 Lakh
9.03 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.
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  • Highlights
  • Eligibility & Cut Offs

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Curriculum

Latest curriculum for B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sister Nivedita University can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in B.E. / B.Tech at Sister Nivedita University

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Students Ratings & Reviews

4/5
Verified Icon4 Verified ReviewsInfo Icon
Placement Review IconPlacements4
Infrastructure Review IconInfrastructure4
Faculty Review IconFaculty & Course4.3
Crowd Review IconCampus Life4.3
Money Review IconValue for Money3.8
S
Sourav Mandal Verified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
Offered by Sister Nivedita University
4.2
4Placements4Infrastructure4Faculty5Crowd & Campus Life4Value for Money
Strong placement, needs improvement.
Placements: Sister Nivedita University achieved a 98.9% placement rate in 2023. The highest package was INR 51 LPA, with an average of INR 6.5 LPA. The recruiters included Amazon, Infosys, and TCS. Over 90% of students secured internships, with roles like software engineer and data analyst.
Infrastructure: Sister Nivedita University offers well-equipped labs, Wi-Fi, modern classrooms, and a library for students. Hostel facilities are decent, with basic amenities and clean rooms. The canteen provides nutritious meals, and there are medical services and sports facilities available.
Faculty: At Sister Nivedita University, teachers are considered helpful, qualified, and knowledgeable, contributing to good teaching quality. The course curriculum is industry-relevant, designed to make students job-ready. Semester exams are manageable, and the pass percentage is high.
Other: I chose this course because of its blend of practical learning and career opportunities. The best parts are experienced faculty and strong industry connections. However, more updated resources and better lab facilities would improve the course. The campus hosts lively fests, has good connectivity, and offers extracurricular activities, but it could improve in crowd diversity and campus surroundings. Scholarships and financial aid are available for students.
Reviewed on 6 Oct 2024Read More
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A
AnonymousVerified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
Offered by Sister Nivedita University
5
5Placements5Infrastructure5Faculty5Crowd & Campus Life5Value for Money
If You want to be a good Engineer, You have to Join Sister Nivedita University.
Placements: Sister Nivedita University is one of the greatest universities I have seen in my life. I am now in the 2nd year and enjoying their curriculum. Many internships and events are offered by the university like Hackathon, Skepsis, GFG, etc. 80 percent of students were placed. The highest package is 70 LPA, and the lowest is 30 LPA. Companies like Amazon, Microsoft, TCS visit. If the student is well-prepared, then he can automatically crack an internship because the college offers many internships.
Infrastructure: Our department has a great lab. Faculty and professors are awesome. They have good skills. They teach us nicely. We are very happy that we have these types of persons. Inside the lab, we have the cleanest room, air-conditioned, Wi-Fi available, and the room is so large.
Faculty: Teachers are very helpful. They have good skills. They clear our doubts. We are preparing for the tech industry. There is no difficulty in exams. The pass percentage is 40. Students are very happy that they have the best professors. Professors and the faculty are very good.
Other: I choose the course for I will have a bright future. The best thing about my course is coding, which makes me perfect. I wish to improve about my course is that we have more teaching staff like our professors. Yes, several events are going on in our college like Skepsis, GFG, Hackathon etc.
Reviewed on 31 Mar 2024Read More
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R
Riddhi Pratim Shee Verified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2025
Offered by Sister Nivedita University
3
3Placements3Infrastructure3Faculty3Crowd & Campus Life3Value for Money
Review of Sister Nivedita University.
Placements: 30% of students got placed. The highest placement is 10 LPA and the lowest is 2 LPA. Top recruiting companies are Microsoft, Nutanix, Ernst and Young, and Deloitte. Very less percentage of students got internships from campus drive. Top role offered site reliability engineer and consultant.
Infrastructure: Lab has Wi-Fi facilities. Library is available and few decent books are there. Cafeterias are available on campus. I don't hostel but hostel is available.
Faculty: Quality faculty members are 0there but most of them leave college and faculty members are changed frequently. Course curriculum is relevant but it changes lot of times for various reasons. Semester exams are conducted in two parts mid-sem and end-sem. Exam difficulties are moderate.
Reviewed on 6 Mar 2025Read More
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S
Sudip Ghosh Verified Icon
B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
Offered by Sister Nivedita University
4
4Placements4Infrastructure5Faculty4Crowd & Campus Life3Value for Money
Good infrastructure, quality teachers, and vibrant campus life with strong industry exposure.
Placements: At Sister Nivedita University, the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machines Learning) program has demonstrated commendable placement outcomes. In the 2023 placement drive, 97% of students secured job offers. The highest package is INR 14 LPA. The lowest is INR 4 LPA, and the median salary is INR 6 LPA. Prominent recruiters included Virtusa, Vara Infrovate Pvt Ltd, Value Momentum, Intel, and Salesforce. While specific data on internships and placements, top roles offered are limited. The university has strong industry connections suggesting favorable opportunities in these areas.
Infrastructure: Sister Nivedita University offers a comprehensive infrastructure for the B.Tech CSE (AI & ML) program, including well-equipped labs, Wi-Fi, modern classrooms, and a library. Hostel facilities are decent, providing essential amenities, though some students have reported satisfaction with food quality. Campus also features medical facilities and sports amenities.
Faculty: At Sister Nivedita University, the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machines Learning) program is supported by qualified and knowledgeable faculty members who are approachable and provide quality teaching. The curriculum is updated and includes recent developments in the field, aiming to make students industry-ready. Regarding semester exams, specific details about their difficulty and pass percentage are not readily available. However, the university emphasis on quality education suggests a structured assessment process.
Other: I chose the B.Tech in Computer Science and Engineering (Artificial Intelligence and Machine Learning) at Sister Nivedita University due to its comprehensive curriculum and emphasis on emerging technologies. The program offers updated coursework, experienced faculty members, and modern infrastructure, which collectively prepare students for industry challenges. However, there is room for improvement in the university fee payment methods, which currently require in-person processing. Campus environment is vibrant, with a diverse student body and a range of extracurricular activities. The university is well-connected to the city, making computing convenient. Scholarship opportunities are available for meritorious students.
Reviewed on 30 Jan 2025Read More
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B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
 
Frequently Asked Questions

Q:   Can I get direct admission at Sister Nivedita University for B.Tech CSE?
A: 

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.

AskShikshaGPT on App
Q:   What is the average salary for B.Tech CSE at Sister Nivedita University?
A: 

Greetings!

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. 

AskShikshaGPT on App
Q:   What is the eligibility criteria for BTech at Sister Nivedita University?
A: 

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.

AskShikshaGPT on App
Q:   How much is the course fee for Sister Nivedita University BTech?
A: 

Sister Nivedita University courses are offered to students at the UG, PG,  and PhD levels. The university is mainly concerned with streams such as Science, Humanities, Engineering, Social Sciences, Agricultural Sciences, etc. SNU offers a BTech programme to students at the UG level for a duration of 4 years. The fee structure of the Sister Nivedita University BTech programme ranges between INR 6.6 Lacs and INR 9 lakh. 

AskShikshaGPT on App
Q:   What is the fee for B.Tech at Sister Nivedita University?
A: 

Sister Nivedita University's B.Tech is a four-year undergraduate degree course, divided into eight semesters. The fee for B.Tech at Sister Nivedita University is INR 8 Lakh (Total Fees) for the duration of 4 years. Sister Nivedita University B.Tech admission is based on entrance examinations; the university accepts JEE Mains / WBJEE / SNUET scores.

Download exam sample paper

WBCHSE
ISC
CBSE 12th
Want to know more about Sister Nivedita University Scholarship details?
Read about Scholarship

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Placements

ParticularsStatistics (2024)
Median SalaryINR 5.50 Lakh
Lock IconTop Recruiters for Sister Nivedita University
ACCENTURE
Amazon
BSE Ltd
Cerner
Cisco Systems
Cognizant
E&Y
Goldman Sachs
IBM
Infosys
Jubilant
Microsoft
Mphasis
MU Sigma
Nomura
Odessa
Persistent Systems
TCS
ThoughtWorks
Virtusa
Wipro
View placement details

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • 60%
Other eligibility criteriaUp Arrow Icon

B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Admission Process

    Important Dates

    ALL
    ISC
    WBCHSE
    CBSE 12TH
    Nov 3 - 26, 2025
    CBSE 12th-Release of CBSE Class 12 exam Date Sheet 2026Tentative
    Jan 1 - Feb 14, 2026
    Conduct of CBSE 12th Practical exams 2026Tentative
    Feb 12 - 27, 2026
    WBCHSE-Conduct of West Bengal 12th Sem 4 exams 2026

    B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
     at 
    Sister Nivedita University 
    Cutoffs

    Filter Icon3
    GenderDown Arrow Icon
    QuotaDown Arrow Icon
    CategoryDown Arrow Icon
    JEE Main round-wise cutoff Rank: (General-All India)
    Round202320242025
    133168511814751016210
    2857928--
    3749795--
    JEE Main round-wise cutoff Rank: (OBC-All India)
    Round2023
    1331685
    2857928
    3749795
    WBJEE round-wise cutoff Rank: (General-All India)
    Round202320242025
    19558310750498080
    3-76796-
    WBJEE round-wise cutoff Rank: (OBC-All India)
    Round2023
    195583
    View Cutoff Details

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    B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
     at 
    Sister Nivedita University 
     
    Students also asked

    Q:   What is the placement record of Sister Nivedita University?
    A: 

    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

    AskShikshaGPT on App
    Q:   Can I get direct admission to Sister Nivedita University?
    A: 

    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. 

    Q:   Is Sister Nivedita University a good university?
    A: 

    Yes, Sister Nivedita University is a good university as it has more than 39 years of experience and is recognised by the UGC. The university is recognised by the UGC and is approved by the AICTE, PCI, BCI, and WBNC. In addition to this, Sister Nivedita University has a dedicated placement cell that has decent connections with top-notch companies such as Amazon, Microsoft, Ashok Leyland, Bosch, HP, etc. 

    AskShikshaGPT on App
    Q:   How many companies participated in Sister Nivedita University placements 2023?
    A: 

    As per the official record, over 270 recruiters participated during Sister Nivedita University placements 2023. The same is tabulated below:

    Particulars

    Placement Statistics (2023)

    Total recruiters

    270+

    AskShikshaGPT on App
    Q:   Can I join Sister Nivedita University without SNUET?
    A: 

    Sister Nivedita University conducts SNUET for admission to UG and PG programmes. However, aspirants with any of the accepted national or state-level entrance exam scores can also get admission. The university considers WBJEE, GATE, NATA, etc. for admission to specific programmes. Once selected based on entrance-exam score, candidates have to confirm their seat by paying the course fee.

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    B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
     at 
    Sister Nivedita University 

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    B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
     at 
    Sister Nivedita University 
     
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    B.Tech. in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
     at 
    Sister Nivedita University 
    Contact Information

    Address

    SNU, DG 1/2 New Town
    Action Area 1

    Kolkata ( West Bengal)

    Phone
    18002588155

    (For general query)

    7595044470

    (For admission query)

    Go to College Website ->