Overview
Data Science from Vellore Institute of Technology (VIT) aims to educate students from all over India, including those from the local and rural areas, and from other countries, so they become enlightened individuals, improving the living standards of their families, industry and society.
Careers
- IT firms, tech firms, business firms, consultancies, industries, R&D firms
- Banking and Financial Services
- Energy and Utilities
- Pharma and Healthcare
- E-commerce
- Media and Entertainment
- Telecom Industry
- Automobile Industry
- Retail and CPG
- Travel and Hospitality
Programme Structure
Courses include:
- Matrix Theory and Linear Algebra
- Probability Theory and Distributions
- Statistical Inference
- Regression Analysis and Predictive Models
- Time series analysis and Forecasting
- Multivariate Data Analysis
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
-
Language
English
Credits
80 alternative credits
Delivered
On Campus
Disciplines
Mathematics Statistics Data Science & Big Data View 26 other Masters in Data Science & Big Data in IndiaAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Under graduation in Mathematics/Computer Science/ Physics/ Statistics orUG Degree in Engineering or Technology in CSE/IT/ECE/EEE/E&I with an60% of marks (Inclusive of all subjects).
- Conduct Certificate (Original)
- Aadhaar Card
- Copy of Provisional Admission Letter.
- 4 no’s of recent passport size colour photographs
Tuition Fee
To alway see correct tuition fees
-
International
3450 USD/yearTuition FeeBased on the tuition of 3450 USD per year during 24 months.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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