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VIT Vellore or DA-IICT Gandhinagar for MSc Data Science?

Radheshyam

Radheshyam Zanwar  |3671 Answers  |Ask -

MHT-CET, IIT-JEE, NEET-UG Expert - Answered on Dec 19, 2024

Radheshyam Zanwar is the founder of Zanwar Classes which prepares aspirants for competitive exams such as MHT-CET, IIT-JEE and NEET-UG.
Based in Aurangabad, Maharashtra, it provides coaching for Class 10 and Class 12 students as well.
Since the last 25 years, Radheshyam has been teaching mathematics to Class 11 and Class 12 students and coaching them for engineering and medical entrance examinations.
Radheshyam completed his civil engineering from the Government Engineering College in Aurangabad.... more
Sakshi Question by Sakshi on Dec 18, 2024Hindi
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what should i choose vit vellore or da iict gndhinagar for msc data science

Ans: HI Sakshi.
If you are financially sound, then you should prefer IICT Gandhinagar, which provides better career prospects and practical skills relevant to the field of Data Science than VIT Vellore. However, this does not mean that VIT is not a better choice. If VIT is nearer to your home town and easily accessible, then you may opt for it. But if distance, money are not issues., then preferably go with IICT Gandhinagar.

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Sir . I;m getting IIIT Kota and may get VIT vellore (data science) in category 4 . Which one should I consider ?
Ans: Based on comprehensive analysis of institutional credentials, placement trends, and academic focus, VIT Vellore’s Data Science programme is recommended over IIIT Kota for students prioritizing domain-specific education and industry-aligned opportunities. IIIT Kota, an institute of national importance with NAAC ‘A’ accreditation, offers 75–92% placement rates (2022–2024) in core CS/ECE roles but lacks dedicated Data Science infrastructure or specialized coursework, focusing instead on traditional IT domains. VIT Vellore, a deemed university (NAAC A++), provides a 100% placement rate (2024) for its Data Science programme, supported by advanced labs (Data Science, AI/ML), industry partnerships (Amazon, Google), and a curriculum integrating Python, big data analytics, and machine learning. While IIIT Kota’s lower fees (~?9.8L total) and PPP-model governance appeal to budget-conscious learners, VIT’s Category-4 fees (~?7.8L first year) are justified by superior campus facilities, global rankings (NIRF #11 Engineering), and structured internships. For students committed to Data Science careers, VIT’s specialized training and broader recruiter network outweigh IIIT Kota’s general CS/ECE focus, though the latter remains a strong option for core IT roles. My suggestion: Considering your academic goals and financial priorities, IIIT-Kota emerges as a strategic choice. The institute’s lower fee structure allows you to allocate resources toward targeted skill development (e.g., certifications in AI/ML, cloud computing, or data analytics) while maintaining a strong foundational education. All the BEST for your Admission & a Prosperous Future!

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