Overview
Data Science (in collaboration with LatentView Analytics) from Vellore Institute of Technology (VIT) curriculum is designed to meet the needs of sophisticated mathematics, computing and data science in modern scientific investigations, technological innovations, business management. The programme has three components: Mathematics and Statistics, computing and Data science, which are perfectly blended so that the strong mathematical and analytical components that are built in the curriculum form the basis on which the technological aspects of Data Science are developed.
Careers
- IT industries
- Research institutions
- Banking sector
- Consulting firms
- Pharmaceutical companies
- Automobile industries and
- Finance
- Educational sector
Programme Structure
Courses include:
- Mathematical modeling,
- Statistical modeling,
- Data science concepts,
- Machine learning principles
- Algorithms and visualization techniques.
Key information
Duration
- Full-time
- 60 months
Start dates & application deadlines
- Starting
- Apply before
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Language
Delivered
Disciplines
Statistics Data Science & Big Data Machine Learning View 14 other Bachelors 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% marks at 10+2 level /Intermediate/CBSE/ICSE/HSC/ or equivalent with Mathematics /Statistics /Computer Science/Business Mathematics as one of the subjects.
Tuition Fee
-
International
3450 USD/yearTuition FeeBased on the tuition of 3450 USD per year during 60 months. -
National
664 USD/yearTuition FeeBased on the tuition of 664 USD per year during 60 months.
INR 55,000 per year
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.