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Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) From Sharda University, Greater Noida
Greater Noida, Uttar PradeshPrivate UniversityEstd 2009NAAC Grade A+
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Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning)
first year fees: ₹2,50,000
| Year | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| Tution fees | ₹250000 | ₹257500 | ₹265225 | ₹273182 |
| Total Year Wise fees | ₹2.50 Lakhs | ₹2.58 Lakhs | ₹2.65 Lakhs | ₹2.73 Lakhs |
Sharda University Upcoming Application Dates 2024
Important Events
| Events | Dates |
|---|---|
| JEE Main 2025 Registration (Session - 1) | Ongoing Nov 01, 2024 - Dec 04, 2024 |
| JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
| JEE Main 2025 Exam Date (Session - 1) | Jan 24, 2025 - Jan 31, 2025 |
| JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
| JEE-Main counselling | Jun 10, 2025 - Jun 18, 2025 |
Expired Events
| Events | Dates |
|---|---|
| Application Deadline [UG & PG Courses] | Jul 31, 2024 |
| SUAT Counselling | Jul 16, 2024 |
| SUAT Result | Jul 12, 2024 |
Important Events
| Events | Dates |
|---|---|
| JEE Main 2025 Registration (Session - 1) | Ongoing Nov 01, 2024 - Dec 04, 2024 |
| JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
| JEE Main 2025 Exam Date (Session - 1) | Jan 24, 2025 - Jan 31, 2025 |
| JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
| JEE-Main counselling | Jun 10, 2025 - Jun 18, 2025 |
Sharda University Cutoff 2024
Sharda University, JEE Main Cutoff 2023
The JEE Main 2023 cutoff rank for the Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) at Sharda University was 651747 for the General category.
| Courses |
|---|
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Sharda University Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Ranking
Sharda University B.Tech ranking by NIRF is 101 out of 300 in India in 2024 and it was ranked 151 out of 200 in India in 2023. Sharda University B.Tech ranking by Collegedunia.com is 171 out of 394 in India in 2023
Eligibility Criteria
Aspirants seeking admission to the Program should meet the following criteria as:
Academic Requirement:
-
Matriculation with-60% marks, Sr. Secondary (10+2) 60% marks (Aggregate) & minimum 60% marks in PCM, Computer Science/PCB for Biotechnology
without gap between 10th and 12th. - Minimum 50% marks in Maths
Entrance Exam:
- SUAT (Online Test), Followed by Personal Interview
- JEE-Mains All India Rank upto 3 Lakh
Course Details
| Additional Fees | |
| Admission Fee (One Time) Non Refundable | Rs 30000 |
| Examination Fee (Per Sem) | Rs 6000 |
| Registration fees from 2nd year onwards (Annually) | Rs 15,000 |
...Show Less
Bachelor of Technology [B.Tech] (Artificial Intelligence & Machine Learning) Comparison
| Sharda University | LPU | Galgotias University | Noida International University | GL Bajaj Noida | IPU | VIT Vellore | |
|---|---|---|---|---|---|---|---|
| Reviews Rating | |||||||
| Cost To Study | Total Fees ₹1045907 (4 Years ) Hostel Fees ₹120000 | Total Fees ₹1360000 (4 Years ) Hostel Fees ₹60000 | Total Fees ₹676000 (4 Years ) Hostel Fees ₹90000 | Total Fees ₹520000 (4 Years ) Hostel Fees ₹90000 | Total Fees ₹244800 (4 Years ) | Total Fees ₹785740 (4 Years ) | Total Fees ₹783000 (4 Years ) Hostel Fees ₹133700 |
| Ranking | # Ranked 101-150/300 by NIRF Engineering Ranks | # Ranked 50/300 by NIRF Engineering Ranks | # Ranked 29/253 by India Today Engineering Ranks | - | # Ranked 32/253 by India Today Engineering Ranks | # Ranked 89/300 by NIRF Engineering Ranks | # Ranked 4/218 by India Today Engineering Ranks |
| Highest Salary | ₹4000000 | ₹30000000 | ₹15000000 | ₹480000 | ₹4300000 | ₹4500000 | ₹8800000 |
| Average Salary | - | - | ₹540000 | - | ₹712000 | ₹1200000 | ₹990000 |
| General Course Details | Duration - 4 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Total Seats - 60 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Total Seats - 132 Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree | Duration - 4 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Graduation Course Credential - Degree |
| Eligibility | 10+2 with 60% | 10+2(60%) + LPUNEST | 10+2 | 10+2 with 50% marks | 10+2+UPTAC | 10+2 with 55% + JEE Main | 10+2 with VITEE |
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Why To Join Sharda University - Reviews & Rating
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Likes
- We have so many things to do or explore here, finding some new technology and research on it, college staff help us.
- Every teacher or faculty have good in teaching and understandable towards students and help in studies.
Dislikes
- Bad placement records, not having proper guidance towards placements.
- Having to much stress regarding assignments deadline.
Course Curriculum Overview:
I love to learn Artificial intelligence and machine learning that's why I choose cse with ai & ml, and only one budget college i found other than iit is sharda, faculty teaches us all about machine learning and ai and work experience on data and model's.
Chirag kumar B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on Nov 10, 2024
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Likes
- I really like the fact that you don't have to be the top Student to enter sharda.
- There are lots of function ,events and parties.
Dislikes
- Due it being a private university,It is a bit expensive.
- The hostel facilities are not as good as compared to the prices.
Course Curriculum Overview:
The course curriculum is good in Sharda University. They guide us in the direction of the thing we study and also prepare us for any hard skills and soft skill required in our future aspects.They prepare us in a very wide scope.
Eric lalmuankima B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2024) Reviewed on Nov 1, 2024
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Likes
- Campus us very good, infrastructure is also very good it is so safe to study here the environment is soo good i like to go to college every day and the classmates are so coordinating they help me in every situation the ratio of students is good
- There are lots of events and parties are held in our college
Dislikes
- The attendance criteria is very disappointment for students
- Teachers are not cooperative and they have wrong attitude
Course Curriculum Overview:
College curriculum for all courses are good that every student can pass it but the time for preparation for exams is short like two months before exams but students that are bad in studies can fail in exams.
Prabhat kaushik B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2024) Reviewed on Aug 20, 2024
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Likes
- Almost all the faculties are knowledgeable and some of them are very strict
- campus life is vibrant and enjoyable sport faciality are also good
Dislikes
- classes schedule are very bussy, they conduct classes from morning to evening.
- Teachers give lots of assignments and work
Course Curriculum Overview:
course curriculam are up to date and according to market scenario.They introduce DSA for first year student,which is rare in India's univeristy.They must reduce the burden of assignments.There are only Two exams Mid sem and end sem.
sajid Ahmad B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2023) Reviewed on Jul 28, 2024
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Likes
- The university boasts a modern campus with well equipped laborataties,libraries and classrooms.
- The engineering curriculum is designed to be industry relevant ,incorporating the latest technologies advancements.
Dislikes
- some students report that dealing with administrative process can be time consuming.
- There is lack of core engineering companies visiting the campus.
Course Curriculum Overview:
Course that i have choosen is btech in computer science with specialization in artificial intelligence and machine learning which is designed according to the industry demands. Curriculum will help you prepare for the real world applications and will make you placement ready. Areas of improvement can be that faculty should focus more on practical knowledge rather than theoritical .
tahseen B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2023) Reviewed on Jun 3, 2024
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Likes
- The faculty is really good and also the options to explore are unlimited
- The college has very nice infrastructure and architecture
Dislikes
- The management is not very cooperative and the campus is very big
- The management is very serious about the marks and studies
Course Curriculum Overview:
The course which is set in college is highly accurate and appropriate to the course and it is really useful in the long run. the experience is good and along with practical knowledge they also provide technical knowledge
Mokara Praneetha B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on May 24, 2024
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Likes
- The college campus is vast, the library is super amazing spacious and air conditioned, really wuiet and peaceful to study and do your work assignment or any ither task.
Course Curriculum Overview:
The course curriculum is nice, it has the goal clear according to the degree doing, they have match d the program outcomes and course outcome so that everyone know why this subject or what affect it has on your learning.
Suraj Belwal B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on May 2, 2024
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Likes
- I really liked the campus envirnonment that is so safe and joyful.
- I also likes the teaching method and the interactiveness of teacher during lectures.
Dislikes
- And i also don't like placement of college
Course Curriculum Overview:
Course and curriculum is average . There are mid term exams followed by end term exams. Teachers teachs on smart boards by ppt and by manual also according to the need of topic. And also teachers are interactive throughout the lectures.
Vishakha Chauhan B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on Apr 4, 2024
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Likes
- Infrasture is good and equipments are comfortable for use and are aligned with the latest tech
Dislikes
- timings can be more comfortable if a little rescheduling is done
Course Curriculum Overview:
All the UGC Guidlines are followed here in Sharda University, moreover my main aim was to go for core CSE branch but after knowing about the other branches, i took CSE with AI and ML. More practical implementation if provided then it would be more beneficial for the students.
Sushant Kumar B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2020) Reviewed on Mar 9, 2024
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Likes
- Fests:As I told earlier there are many fest that goes in university so its the most enjoyable things in the University or can say most important to survive or relieve from stress
- Cafes: The most Important is to eat and with friends they are perfect place to spend time
Dislikes
- Travelling time: As the univesity is in Greater Noida and i live in East Delhi the travelling time for me is like 2 hrs from metro so its very hectic
- No fixed rooms: the classes are not fixed in one room like school we have to go different rooms to attend classes and in free period finding an empty room is very tough task
Course Curriculum Overview:
The course curriculum was very easy, like when i got admitted in the Sharda University I was nervous that if I get to do what I want or can say if I will get the time for my development, but when I saw the syllabus it became easy for me to manage up the time for my studies and personality development. The faculties are amazing they teach us in a very funny manner to build up the strong student teacher relationship, they give tips how and where to focus to get a perfect job in future. Most of the faculties have did their Phds and masters so they are well qulaified and have experience in their particular subject. There are two exams in each term one is mid term and another is end term and tbh they are both easy you can get very good marks in one day studying but i will prefer study in semester time as it will he[p you to grow your skills on time.
Shashank Singh B.Tech, Artificial Intelligence & Machine Learning (Enrolled 2022) Reviewed on Dec 29, 2023
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