Sister Nivedita University
Sister Nivedita University Logo

B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) 

  • Private University
  • Estd. 2018
Placement Review Icon

3.8Star Icon

Placements
Infrastructure Review Icon

3.8Star Icon

Infrastructure
Faculty Review Icon

4.2Star Icon

Faculty & Course
Campus Life Review Icon

4.0Star Icon

Campus Life
Value for Money Review Icon

3.7Star Icon

Value for Money
R
Riddhi Pratim Shee Verified Icon
B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2025
3.0
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. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2027
4.0
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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S
Sourav Mandal Verified Icon
B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
4.2
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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B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
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B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Overview

Total Tuition Fees

9.48 Lakh
Get Fees details

Duration

Course Level

UG Degree

Mode of Course

Full Time

Average package

9.20 Lakh

Application Link

Go to Website External Link Icon

Seat breakup

180

Type of University

Private

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

Fee componentsAmount (4 years)
9.48 Lakh
9.48 Lakh
Info IconThese are based on information available on various sources. Latest values may differ.
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B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
 
Frequently Asked Questions

Stories
  • Highlights

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

  • This course is also offered with research

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

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

3.9/5
Verified Icon6 Verified ReviewsInfo Icon
Placement Review IconPlacements3.8
Infrastructure Review IconInfrastructure3.8
Faculty Review IconFaculty & Course4.2
Crowd Review IconCampus Life4.0
Money Review IconValue for Money3.7
A
AnonymousVerified Icon
B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2026
5.0
5.0Placements5.0Infrastructure5.0Faculty5.0Crowd & Campus Life5.0Value 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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S
Subhon Ghosh Verified Icon
B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning) - Batch of 2028
4.0
4.0Placements4.0Infrastructure4.0Faculty4.0Crowd & Campus Life4.0Value for Money
Absolutely dissatisfied because of the duration between each semester.
Placements: 75% of students were placed in any course. The highest package is 60 LPA, and the lowest package is 4 LPA. Top recruiting companies are Microsoft, Tata, and Google. 60%-65% of students got internships from my course in companies like Wipro, Tata, Microsoft, and Google.
Infrastructure: Good facilities with great infrastructure. Everything is available and works perfectly without any issues. Food quality is not that good because of the low maintenance of food and beverages. Sometimes students get sick because of the canteen food. That's all.
Faculty: The teachers are very helpful and well-qualified. The teaching quality is moderate. The teaching curriculum is very much relevant, and they make us industry-ready. The semester exams are very difficult. Sometimes, half of the core students get backlogs. The pass percentage is 60%.
Other: I chose it because of the AI system, which will lead us in the future. I wish to improve the behaviour of our faculty members. Sometimes they don't help the students properly. All the other activities are not that usual.
Reviewed on 25 Apr 2026Read More
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B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
 
Students also asked

Download exam sample paper

WBCHSE
ISC
CBSE 12th
Want to know more about Sister Nivedita University Scholarship details?
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B.Tech. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Placements

ParticularsStatistics (2025)
Average SalaryINR 9.20 Lakh
Highest SalaryINR 55.00 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. (Hons.) in Computer Science and Engineering (Artificial Intelligence and Machine Learning)
 at 
Sister Nivedita University 
Entry Requirements

General
Requirements for 12th gradeUp Arrow Icon
  • 55%
Other eligibility criteriaUp Arrow Icon

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

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Admissions Open! Apply Now

    Important Dates

    ALL
    COURSE
    ISC
    WBCHSE
    CBSE 12TH
    Jun 15 - Jul 1, 2026
    ISC Improvement Exam Date 2026
    Oct 31, 2026
    Last date to apply

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

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

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    B.Tech. (Hons.) 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 ->