Year | 1 | 2 | 3 | 4 |
---|---|---|---|---|
Tution fees | ₹195000 | ₹195000 | ₹195000 | ₹195000 |
Other fees | ₹3000 | - | - | - |
Total Year Wise fees | ₹1.98 Lakhs | ₹1.95 Lakhs | ₹1.95 Lakhs | ₹1.95 Lakhs |
Events | Dates |
---|---|
JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
VITEEE Registration Date | Tentative Nov 01, 2024 - Mar 30, 2025 |
VITEEE Admit Card Date | Tentative Apr 05, 2025 |
VITEEE Exam Dates | Tentative Apr 19, 2025 - Apr 30, 2025 |
VITEEE Result Date | Tentative May 03, 2025 |
VITEEE counselling | Tentative May 07, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
Events | Dates |
---|---|
Application Timeline[VITEEE] | Nov 01, 2023 - Apr 10, 2024 |
Application Deadline [B.Tech] | Apr 10, 2024 |
Application timeline (B.Tech) | Apr 10, 2024 |
Events | Dates |
---|---|
VITEEE Registration Date | Tentative Nov 01, 2024 - Mar 30, 2025 |
VITEEE Admit Card Date | Tentative Apr 05, 2025 |
VITEEE Exam Dates | Tentative Apr 19, 2025 - Apr 30, 2025 |
VITEEE Result Date | Tentative May 03, 2025 |
VITEEE counselling | Tentative May 07, 2025 |
Events | Dates |
---|---|
JEE Main 2025 Registration (Session - 1) | Tentative Nov 01, 2024 - Dec 04, 2024 |
JEE Main 2025 Admit Card (Session - 1) | Tentative Jan 17, 2025 |
JEE Main 2025 Exam Date (Session - 1) | Tentative Jan 24, 2025 - Jan 31, 2025 |
JEE Main 2025 Result (Session - 1) | Tentative Feb 13, 2025 |
JEE-Main counselling | Tentative Jun 10, 2025 - Jun 18, 2025 |
Students have to fill the application form by navigating to the official link of international admissions.
Documents required to be uploaded are
Aspirants seeking admission to the Program should meet the following criteria as
Academic Requirement:
Entrance Exam:
VITEEE or JEE or SAT
B.Tech – Computer Science & Engineering (Data Sciences)
?Other Fee (Caution Deposit) (Refundable One time) = 3000/-
VIT Vellore | SRMIST | Manipal University | |
---|---|---|---|
Reviews Rating | |||
Cost To Study | Total Fees ₹783000 (4 Years ) Hostel Fees ₹133700 | Total Fees ₹1100000 (4 Years ) Hostel Fees ₹29500 | Total Fees ₹1706000 (4 Years ) Hostel Fees ₹90500 |
Ranking | # Ranked 4/218 by India Today Engineering Ranks | # Ranked 7/238 by India Today Engineering Ranks | # Ranked 4/10 by India Today Engineering Ranks |
Highest Salary | ₹8800000 | ₹5200000 | ₹5103000 |
Average Salary | ₹1100000 | ₹750000 | ₹1049000 |
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 Total Seats - 60 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 + VITEEE | 10+2 with 60% | 10+2 with 50% + MET |
Search from 20K+ Courses and 35+ Streams
Likes
Dislikes
The course which I joined is Mtech Integrated Data Science which has a bit more credits to complete but as a 1st-year student, I feel the subjects are not so hard to study. The timetable schedule is a bit more for this course
Likes
Dislikes
The faculty is good at teaching but when it comes to the improvement I guess the should focus more upon real life scenario based situations and make us prepare according to it . The exams are fair enough but papers vary according to the level of difficulty and length of it, i would be nice if their is a sufficient time to read the paper because invigilator distribute the papers late and take them on time so we don't get enough time.
Likes
Dislikes
I always had an interest in CSE since the 10th grade when I was first properly introduced to coding I always had a keen interest in statistics so I chose the specialization of Data Science which is an emerging field. The faculty-student ratio is about 15:1. The faculties are very well qualified and have a lot of knowledge however, there are obviously a few exceptions and some are really bad teachers. We have term exams at the end of each semester and we have our continuous assessment tests almost every 45 days, however up until now, I have found them relatively easy as you can study only one night in advance and still get decent marks.
Likes
Dislikes
I chose it because of data science. The student-faculty ratio is nice although could be lower Some faculty are nice some hate students as well. Exams are moderately difficult, the relative grading makes up for it.
The faculty was very chill and nice. They will explain using a projector which was very helpful than saying on board. We can personally message faculty for any doubts and they will answer very well. All faculty have more than 5 years expect in teaching.
As data science is a trending course in this era and even though it has high demand, so I have chosen it. There are 60 students per class and there will be many more sections based on the student's strengths. But 60 to 66 students per section is fixed.
I choose a course in Data Science as there is an increasing demand for Data Scientists in the coming years. Faculty: Students Ratio is quite good as 1:65 Faculties have good qualifications with everyone having a Ph.D. Degrees from renowned college but teaching method is quite good as they try to make you understand well. Terms exam happens every 2 months and it's easy to pass it.
In our Vit University, all are PhD holders and we'll be qualified teachers for you and around all teachers have 10+ years of best teaching experience. Every year more than 80% are well developed in their graduation such type of best team of teachers is there.
I was always too much dedicated to Mathematics and As was researching for a good course in VIT. VIT has a really good faculty for Data science and it's the sight of interest so why not give a big chance to it because there is no less demand for data scientists. Per faculty has 50 around students but teachers never let us feel left out at least when we are online because they have always given preference to each of one. Though teaching right now is really tuff for teachers. And understanding in such a way too but no one has got a choice. The teacher here is more or less qualifies but as I said the branch I am in is given to respected teachers so have all qualified ones. There is nothing like difficulty it's upon us how much we study but teachers have made efforts always some teachers make really hard papers but we have to positive with all. All the exams like 3 incomplete semesterss are taken on time.
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