Overview
Data Science (in collaboration with LatentView Analytics) from Vellore Institute of Technology (VIT) is designed to go beyond traditional teaching methodologies from teaching students to acquire fundamental knowledge of mathematics, statistics, and computer science to instill the interest to get introduced to the cutting-edge state of the art data science technologies and gain hands-on experience via active learning through lab embedded courses and mini-projects, Capstone Project, and Internship.
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
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
Delivered
On Campus
Disciplines
Statistics Data Science & Big Data Machine Learning View 25 other Masters in Machine Learning 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
- Eligible candidates shall be called for counselling and the admission is decided based on the marks in the qualifying examination, SoP and online- personal interview
- Undergraduate degrees such as B.A., B.Sc., B.Math., B.Stat., B.E., B.Tech. etc. with 60% marks, with a background in Mathematics or Statistics or Computer Science or Data Science
Tuition Fee
To alway see correct tuition fees
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International
966 USD/yearTuition FeeBased on the tuition of 966 USD per year during 24 months.
Category 1: 80,000 INR
Category 2: 98,000 INR
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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