Overview
Computational Statistics and Data Analytics - Integrated from Vellore Institute of Technology (VIT) will provide individual attention, world-class quality education and take care of character building.
Careers
- IT firms, tech firms, business firms, consultancies, industries, R&D firms
- Census departments
- Ecological survey and Prediction
- Medical Industry
- Election Analytics
- Education sector
- Sports Management
- Tourism
- Banking and Insurance
- Business Consultant
- Manufacturing
Programme Structure
Courses include:
- Statistical Inference
- Regression Analysis and Predictive Models
- Design and Analysis of Experiments
- Programming for Data Science
- Computational Statistics for Data Science
- Statistical Computing for Data Analysis
- Time Series Analysis and Forecasting
Key information
Duration
- Full-time
- 60 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Credits
Delivered
Disciplines
Statistics Business Intelligence & Analytics 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
- First Class with a minimum of 60% overall marks at 10+2 level/Intermediate/CBSE/ICSE/HSC/ or equivalent with Mathematics /Statistics /Computer Science/Business Mathematics as one of the subject.
- Class-XII mark sheet of Qualifying Examination of all attempts (please ensure that you also enclose the reverse side of the marks sheet containing details.)
- Conduct Certificate (Original)
- Copy of Provisional Admission Letter
- 4 no’s of recent passport size colour photographs
- Aadhaar Card
Tuition Fee
-
International
3450 USD/yearTuition FeeBased on the tuition of 3450 USD per year during 60 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.