MAIT Reviews on Placements, Faculty and Facilities

New Delhi, Delhi NCREstd 1999 GGSIPU, New Delhi
#43 For Overall By Indiatoday 2023  
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3.8
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5(26%)
4(52%)
3(11%)
2(9%)
1(2%)

Academic
3.9
Faculty
4.0
Infrastructure
3.7
Accommodation
3.6
Social Life
3.7
Placement
3.8

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Praneel Maitra
2.8
Reviewed on Jun 24, 2025(Enrolled 2024)

Placement Experience:

4th year students are eligible for campus placements. there are many students who get pre placement offers (ppo) after their internship only. Usual companies lke TCS, Wipro, Infosys, Cognizant, Accenture comes here for 4-7 LPA packages. Then there are companies like DeShaw which offered a person 54 LPA package too.
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Ankit Thakur
Ankit Thakur
5.0
Reviewed on Jun 11, 2025(Enrolled 2023)

Student Snaps:

Placement Experience:

Infosys is major as nearly half the corwd is hired by them. Various other companies too but with very few requirements and it is difficult to get into those colleges as it is tough and very tough to be honest.
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Ankit Jindal
Ankit Jindal
3.6Helpful
Reviewed on Jun 4, 2025(Enrolled 2021)

Placement Experience:

The placements of MAIT are decent as compared to market conditions. But the data shown on website or availble at various platforms is not the reality. The mass chunk of students who get a job are placed under and around 6LPA package.
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Pranav Agarwal
Pranav Agarwal
3.7Helpful
Reviewed on May 14, 2025(Enrolled 2023)

Placement Experience:

Every year the college organisation internship meet as summer in 10 ships are important for the students and also the average package range is between 8 to 12 lpa the percentage of students getting placements are very less but most of the students either go for highest studies or do their own business.
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Prerna Khanna
Prerna Khanna
3.3Helpful
Reviewed on Apr 6, 2025(Enrolled 2020)

Placement Experience:

The placements were started from 7th semester but there were companies who came before as well for internships and gave ppo like atlassian etc. Highest package was 13.05 from ZS and the average was around 3-4 lpa and different degrees. Some of the companies that came were zs Deloitte yamaha accenture wipro rinex jaro education etc. The percentage didn't really matter exactly but there were some criteria with 7 or 8 cgpa and no back was required by many companies. I got placed on campus and I am currently working in the same company.My package was 4 lpa in hand and 6 lpa including all benefits.
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Kunal
4.8
Reviewed on Mar 29, 2025(Enrolled 2024)

Placement Experience:

The placemets of the college are really good a lot of pre placment offers and other opportunities and provided by the college it evenn had a well organised placement cell of the collehe whivh is mentored by departmental heads of the college
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Madhav
3.7Helpful
Reviewed on Mar 26, 2025(Enrolled 2024)

Student Snaps:

Placement Experience:

The students become eligible for placemtns from the third year, the campus offers great placement opportunities over 90 companies with top companies such as;- 1)microsoft:- avg 51LPA 2)google india:- avg 49LPA 3)abode:- avg 40 LPA 4)JP morgan:- 35 LPA 5)Amazon:- 15 to 34 LPA 6)ZS associates:- 13 LPA Approx 80% students as per 2023 got placement My plans after the degree is to do Mtech
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Saurabh kumar
Saurabh kumar
3.6Helpful
Reviewed on Mar 24, 2025(Enrolled 2023)

Placement Experience:

From 7th semester students can get placement. Good no. Of companies visited in campus such Deloitte, wipro, tcs, Infosys polestar. Good placement for cs and it branches. Almost 70 percent(among who participate in campus placement) get placement,but for core branches only few companies visited in campus and 20 percent students got placement.
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Aditi
4.2Helpful
Reviewed on Mar 15, 2025(Enrolled 2023)

Student Snaps:

Course Curriculum Overview:

The B.tech in AI&ML curriculum is well structured and covers fundamental to advanced topics in AI, ML and data science. I chose this course because of its emphasis on neural networks, Deep learning and data analytics which are crucial for carrer in AI developments and research. Area for improvement: More hands-on projects and case studies. Exams occur twice per semester. Some subjects are challenging.
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PURNIMA KISHORE
PURNIMA KISHORE
4.0Helpful
Reviewed on Mar 15, 2025(Enrolled 2023)

Course Curriculum Overview:

the foundation in core concepts covers fundamental subjects like data structures, machine learning. computer networks etc. industry relevant technological courses like AIML,Iot, Cloud Computing etc are helpful. areas of improvment are practical approach and update electives, lab infrastructure
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