![Vellore Institute of Technology - [VIT University]](https://image-static.collegedunia.com/public/college_data/images/appImage/1614064870cover.jpg?h=240&w=1000&mode=crop)
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Master of Science [M.Sc] (Data Science) From VIT Vellore, Vellore
| Year | 1 | 2 |
|---|---|---|
| Total Year Wise fees | ₹82,000 | ₹80,000 |
| Total Fees | ₹82000 | ₹80000 |
| Tuition fees | ₹80000 | ₹80000 |
| other fee | ₹2000 | - |
VIT Vellore Upcoming Application Dates 2024
Expired Events
| Events | Dates |
|---|---|
| Application timeline (M.Sc) | Feb 23, 2024 - Jun 26, 2024 |
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VIT Vellore Master of Science [M.Sc] (Data Science) Ranking
THE Ranking
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Eligibility Criteria
Aspirants seeking admission to the Program should have passed under graduation in Mathematics/Computer Science/ Physics/ Statistics or UG Degree in Engineering or Technology in CSE/IT/ECE/EEE/E&I with an 60% of marks (Inclusive of all subjects).
Course Details
International Fee:
Tuition Fee (Per Annum): $3,450
Caution Deposit: $50
Master of Science [M.Sc] (Data Science) Comparison
| VIT Vellore | Manipal University | |
|---|---|---|
| Reviews Rating | ||
| Cost To Study | Total Fees ₹162000 (2 Years ) Hostel Fees ₹133700 | Total Fees ₹3.98 Lakhs (2 Years ) Hostel Fees ₹114500 |
| Ranking | # Ranked 601-800/801 by Times Higher Education Science Ranks | # Ranked 40/178 by India Today Science Ranks |
| Highest Salary | ₹8800000 | ₹5103000 |
| Average Salary | ₹990000 | ₹1049000 |
| General Course Details | Duration - 2 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Degree | Duration - 2 Years Course Offered - Full Time Mode - Full Time Degree Type - On Campus Course Level - Post Graduation Course Credential - Degree |
| Eligibility | Graduation with 60% | Graduation with 60% |
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Why To Join VIT Vellore - Reviews & Rating
Most Popular Tags
Likes
- The teaching faculty are good to learn advanced education.
- The campus environment is very good and cleaned
Dislikes
- Sometime the class time were changed for a reason.
Course Curriculum Overview:
The course includes a very good futuristic subject.. this may grow up your carrier. and u can learn more and more new things about this subject. The teaching style And faculty are more advanced. The exams diffculty level & timing is very competitive.
Likes
- Campus infrastructure is very great and nice
- Curriculum and course structure is very good
Dislikes
- Have to walk to different blocks for dofferent classes
- Classes may happen in different bloacks
Course Curriculum Overview:
Course curriculum in vit is very great . It focus not only on the skills but also applying the skills to the real world scenarios. All the course curriculum is based on real world scenario . Which help us to better in the particular field. Mathematic is main in data science.adding basic mathematics in first semester will be more helpful for the student from other departments.
Likes
- Atmosphere in collage is very great and filled with lot of opportunites. we need to take the required things and we have to imrove overself.
- The library is very great , which contains more than 60000 books , also they frequently adding more and more books .
Dislikes
- college is crowd more time. we need to wait for the lift.
- Some classes will happen in differnet blocks we have to walk to different blocks which is very difficult.
Student Snaps:
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Course Curriculum Overview:
According to the curriculum it is very very good. In Every specified interval they are updating the course curriculum based on the suggestion from the seniors it is very good. the curriculum is created based on the real world requirements in the field of Data science.it starts from basic of Data science and mathematics to advanced machine learning and deep learning concepts which is very very important for the Data science. SET conference in Every semester helps to apply our knowledge into finding solutions to the real world problems.when it comes to imporvement, some students are from computer science department and they are struggling in solving mathematical concepts. because in Data science mathematics is one of the core subject. if they started with some basic mathematics in first semester then it will be very very great.. The difficulty level of the exams is average . if we prepared well then the exams are absolutely very easy.
Likes
- I mostly like the college infrastructure and environment.
- I like college the curriculum and things to improve our personlity
Dislikes
- In college there was long to walk from one building to another.
- Our college methos is slot timings. From morning 8 clock class is there and evening 7.30 class is also there, it is difficult to students who come far away.
Course Curriculum Overview:
For my course, the curriculum is correctly for my course. But, the syallabus is little old. And after my acadamic year, the syallabus will be updated by college. And it is very useful for upcoming students.They provide lab practices, webinars with relevant company employers or HR and so on. It is very useful for us. They also provide hackathons.The teaching method is good.
Likes
- I liked the most is campus the campus is very big and nice to explore more things and hang out
- And the other thing is canteen food which i liked the most in our campus it will be nice
Dislikes
- The one thing is focus more on practical apart from mathematical
- And the other thing is afternoon batch which disliked the most
Course Curriculum Overview:
The course curriculum is very good. And they have set that very well with based on the real world hearbeat. Like there is also one point in vit is we have to do one project in each semester this is the very good thing that happened because we can learn more new things by doing the project in our very own field and apply the things that we have learned in curriculum. The exam difficulty will be medium it will be totally different from the other colleges we are not need to mugup the things we have apply the things and the one thing they can improve is that little bit more in practical things.
Likes
- College and faculty is the best in this university
- Classes are very good and very big also provided ac in classrooms
Course Curriculum Overview:
Today's best course is data science and I choose data science at this college. All Faculty members are Ph.D. completed. Ph.D. complete the faculty. 5/5, Very difficult for the average student because it is a University.
Likes
- It is goodand atmosphere and surrounding of clg is very peaceful
- All the college i liked very well and facilities are good
Dislikes
- Very strict and we cant go outside and the buses are taking long time
- In canteen food is very bad management want to change the canteen
Course Curriculum Overview:
Beacuse i want to briefly get an idea about that thats why i joined to this course and a brief about facility means they are from niit and iit and the student ratio is high and the qualification is good for faculties and teaching method is also so good and exams are difficult for pass we want to put all our efforts
Likes
- It have wonderful environment with greenness
- Camus life was awesome at VIT, no restrictions
Dislikes
- They concentrating on Btech studenets for placements
- one of the canteen was not good, but clean
Course Curriculum Overview:
Because data science is a trending course, so I chose data science, Faculties were professional they had a lot of experience, and every faculty holds a doctorate, It has semester wise, winter sem and fall sem, and if we learned throughout class time, we can easily pass the exams.
Likes
- Campus experience
- Hostel experience
Dislikes
- Some staff is really bad
Course Curriculum Overview:
The course curriculum is very good and also very beneficial for us for comparing to the industry. Also, the faculty was from IIT's, NIT's, IISC's and they provide very good quality education. They teach all the things like it's very easy.
Fee Structure And Facilities:
Fees structure is annual, INR 80000 course fee with 2000 caution money. No Scholarship provided by the college. There is a separate department for Placement which takes care of providing placement information and training of students for various categories of jobs.
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