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Total fees: ₹1,70,000
Recognised & accredited: UGC, AICTE
Minimum Eligibility: Graduate (Engg, Tech, Stats, Math, Computer Science ) with minimum 50%.
NIRF Ranking: 14
Course Duration: 2 years
Address: Vellore, Tamil Nadu, India
Venture into the field of Online Master of Science in Data Science Programme from Vellore Institute of Technology, India. This is UGC-entitled / AICTE-approved / NAAC-accredited online MSc Data Science enables learners to acquire in-demand skills, industry-specific expertise and expand their understanding of diverse aspects of this versatile domain to excel in various roles.
The comprehensive curriculum of this online MSc with a focus on Data Science covers core industry relevant subjects, ensuring a strong foundation in both theory and practical application. Experience the flexibility of learning from anywhere with access to high-quality study materials, live and recorded classes by expert faculty, interactive discussion forums, e-libraries, case studies, quizzes, etc., enabling you to learn at your own pace while staying connected to a vibrant academic community.
The Online Master of Science (M.Sc.) in Data Science at Vellore Institute of Technology (VIT) is a comprehensive two-year programme designed to empower professionals with data mastery. Delivered through a flexible mixed-mode format of live online sessions and recorded content, this course equips learners to analyse complex data sets and drive business outcomes across various domains.
Below are some reasons why Vellore Institute of Technology (VIT) Is a good choice for your Online M.Sc.:
The Online M.Sc. in Data Science curriculum at Vellore Institute of Technology (VIT) is structured over four semesters to build a strong theoretical foundation.
The first year focuses on the mathematical and programming pillars of data science.
Semester 1:
Semester 2:
Semester 3:
Semester 4:
Students can tailor their expertise by choosing from a wide range of electives.
To be eligible for the Vellore Institute of Technology (VIT) Online M.Sc. in Data Science, candidates must meet specific academic requirements.
Category | Requirement |
Engineering Graduates | Minimum 50% marks (45% for reserved categories) |
Other Graduates | Bachelor’s degree of at least 3 years in Statistics, Mathematics, Computer Science, Engineering, or Technology |
Minimum Marks for Non-Engineering Graduates | At least 50% aggregate (45% for reserved categories) |
The admission process is a simple, fully online five-step journey designed for your convenience.
Applicants must upload the following documents for verification.
Document Type | Indian Regular Category | NRI / OCI / Foreign Category |
Photo & Signature | Passport-sized photo (JPG) & Digital Signature | Passport-sized photo (JPG) & Digital Signature |
Proof of Age | 10th Marksheet | First two pages of Passport |
Academic Records | 12th Marksheet | 12th Marksheet |
Degree Proof | UG Mark Statements & Provisional/Degree | UG Mark Statements & Provisional/Degree |
Identity Proof | Aadhaar Card | Passport / Birth Certificate / National ID |
Category/Status | Community Certificate (if applicable) | Visa / NRI status of parent or candidate |
Work Experience | Experience Certificate (if any) | Experience Certificate (if any) |
The Vellore Institute of Technology (VIT) Online M.Sc. in Data Science is a two-year investment that offers a transparent and flexible fee structure.
With 11.5 million job opportunities globally and an average salary of INR 14 LPA in India, this programme positions you for high-growth roles.
Top Job Roles:
Role | Average Annual Salary |
Data Scientist | INR 15.4 L |
Machine Learning Engineer | INR 11.7 L |
Business Analyst | INR 9.9 L |
Decision Scientist | INR 8.5 L |
Big Data Analyst | INR 8.3 L |
Financial Analyst | INR 6.5 L |
Source: Ambitionbox
The curriculum is designed to foster data mastery, focusing on analyzing complex datasets and deploying models. It covers core modules like Linear Algebra, Probability, and Exploratory Data Analysis, alongside advanced subjects like Econometric Analysis and Forecasting to drive business outcomes.
The programme takes an application-based approach, teaching industry-standard tools and libraries. You will gain proficiency in Python, R, SQL, Tableau, Hadoop, Pandas, NumPy, Jupyter, and Scikit-learn, ensuring you are ready for real-world data challenges.
Non-engineering candidates must hold a Bachelor's degree of at least 3 years duration specifically in Statistics, Mathematics, Computer Science, Engineering, or Technology. They must have secured an aggregate grade of at least 50% (45% for reserved categories).
Yes, the programme emphasizes applied learning via real-time projects. Examples include House Price Prediction (Real Estate), Market Basket Analysis (Retail), Stroke Prediction (Healthcare), and Fraud Detection (Banking & Finance), allowing you to apply theory to practical scenarios.
The programme prepares you for specialized roles like Decision Scientist and Data Journalist, in addition to standard roles like Data Scientist. These positions focus on using data insights to alleviate bottlenecks, improve business outcomes, and drive strategic decision-making across industries.
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