Vellore Institute of Technology - Chennai Campus Answered Questions

The documents required for eligibility verification during B.Sc. in Computer Science admissions at VIT Chennai include:- Passing certificate of the qualifying examination (10+2 or equivalent)- Mark sheet of the qualifying examination- Proof of age- Proof of nationality (Resident Indian National or Non-Resident Indian National)Other documents may be required as per the institution's specific requirements.

To get a seat in VIT Chennai for B.Tech. in Electronics Engineering (VLSI Design and Technology), follow these steps:1. Check the eligibility criteria: The candidate should have a minimum of 60% marks in Physics, Chemistry, and Mathematics in 10+2. Apply for VITEEE: The candidate should apply for the VIT Engineering Entrance Examination (VITEEE) conducted by VIT.3. Appear for VITEEE: The candidate should appear for the VITEEE and score a good rank to be eligible for admission.4. Check the cut-off: The candidate should check the cut-off marks for VIT Chennai and ensure they meet the requirements.5. Attend counseling: The candidate should attend the counseling session conducted by VIT and opt for B.Tech. Electronics Engineering (VLSI Design and Technology) as their preferred course.6. Pay the fees: Once the admission is confirmed, the candidate should pay the fees to secure their seat.

Yes, VIT Chennai provides placements for M.Sc. in Data Science, but the placement scenario is not that great for M.Sc. compared to B.Tech, especially for CSE and IT departments. Most companies prefer B.Tech over M.Sc., but having the right skills can still lead to placement opportunities, with an average salary of around 5-5.5 LPA.

To apply for M.Sc. in Data Science at VIT Chennai, candidates can follow these steps:
Check the eligibility criteria: Candidates should have an undergraduate degree in Mathematics, Computer Science, Physics, Statistics, or Engineering with 60% marks and should have studied Mathematics as one of the subjects in +2 and degree level.Online Application: Online application forms will be available from Jan 2025 on the VIT website.Admission Procedure: Admission will be based on the performance in the qualifying examination (UG or its equivalent).Programme Highlights: The M.Sc. Data Science programme at VIT Chennai offers live online learning, a comprehensive curriculum with electives, and a degree equivalent to an on-campus degree.
Candidates can visit the VIT website for more information and to apply online.

To get admission to M.Sc. in Data Science at VIT Chennai, candidates should have an undergraduate degree in Mathematics, Computer Science, Physics, Statistics, or Engineering with 60% marks. They should have also studied Mathematics as one of the subjects in +2 and degree level. The admission is based on the performance in the qualifying examination (UG or its equivalent). There is no entrance examination for M.Sc. programmes at VIT. Candidates can fill out the online application form, which will be available from January 2025.

To get a seat in VIT Chennai for B.Sc. in Fashion Design, contact the Head of the Department, VIT Fashion Institute of Technology (VFIT), VIT Chennai, Vandalur- Kelambakkam Road, Chennai-600127, Tamil Nadu, India. Phone: 044 39931476. The 3-year B.Sc Fashion Design programme is offered with state-of-art laboratory to improve innovative notions which laid on creativity and individuality. The programme includes hands-on experience in textile & design exploration and its applications, a portfolio and understanding the fundamentals in the field of Fashion and Apparel Design, and producing up-and-coming tycoons by a holistic approach towards Fashion and Apparel sectors.The graduates from this programme would become innovative and creative designers in the field of Fashion Design, with employment opportunities in both the private and public sectors.

M.Sc. in Data Science at VIT Chennai has a fantastic placement record, with companies like Boeing and Marvel Studios offering high salary packages (32 LPA+). The programme is well-structured, with a focus on making students solve big data Science problems with pen and paper, and the faculty is supportive and interested in publications. The placement statistics are good, with a 100% job guarantee and paid internships available. Overall, it seems like a good option for those interested in data science, with a strong curriculum and good placement opportunities.