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Online M.Sc. in Data Science From Vellore Institute of Technology

    Flexible Learning Without a Career Break

    Balance Work, Studies, and Personal Life

Apply Now!

Key Highlights: Online Master of Science in Data Science Programme

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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

Online Master of Science in Data Science Programme from Vellore Institute of Technology, 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.

Online M.Sc. in Data Science at VIT - Overview

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.

  • World-Class Faculty: Learn from experienced VIT faculty and industry practitioners.
  • Industry-Focused Curriculum: Study skills aligned with Industry 4.0, including ML and big data.
  • Applied Learning: Build hands-on experience with Python, R, SQL, Tableau, and Hadoop.

What Makes VIT a Good Choice for an Online M.Sc. in Data Science

Below are some reasons why Vellore Institute of Technology (VIT) Is a good choice for your Online M.Sc.:

  • Flexible Learning: Benefit from a mixed-mode structure that combines self-paced recorded videos with weekly live faculty interactions to suit busy work schedules.
  • Career Versatility: Acquire transferable skills that open doors to diverse sectors like finance, healthcare, and retail, increasing your earning potential.
  • Top Ranking: Study at an institution ranked among the Top 14 Universities in India by NIRF 2025 and recognized as a Top 2 Institution in India by Shanghai ARWU.
  • Alumni Network: Join a strong network of professionals and gain access to exclusive alumni events and the 'TRACKS' newsletter.

Ideal Candidates

  • Aspiring Data Leaders: Individuals aiming to step into senior roles such as Data Scientist, Decision Scientist, or Big Data Analyst.
  • Domain Switchers: Professionals from non-tech backgrounds like finance or healthcare looking to transition into high-growth analytics roles.
  • Career Accelerators: Professionals seeking better pay and enhanced job opportunities in the data-driven economy.

Online M.Sc. in Data Science Curriculum Breakdown

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.

Core Modules

The first year focuses on the mathematical and programming pillars of data science.

Semester 1:

  • Linear Algebra
  • Probability and Distribution Models
  • Exploratory Data Analysis
  • Data Structures and Algorithms
  • Python Programming

Semester 2:

  • Forecasting and Predictive Analytics
  • Statistical Inference
  • Database Management Systems (DBMS)
  • Data Mining
  • Artificial Intelligence

Semester 3:

  • Elective I to Elective V

Semester 4:

  • Elective VI
  • Elective VII
  • Project Work

Elective Courses

Students can tailor their expertise by choosing from a wide range of electives.

  • Technical Specializations: Big Data Analytics, Machine Learning, Programming in Java.
  • Business Analytics: Marketing Analytics, Supply Chain Analytics, Financial Data Analytics, Risk Analytics.
  • Advanced Analysis: Multivariate Data Analysis, Econometric Analysis, Web and Social Media Analytics.

Key Learning Goals

  • Analytical Mastery: Learn to analyze and interpret complex data sets to derive meaningful insights.
  • Decision Making: Develop the ability to make data-driven decisions that alleviate bottlenecks and improve business outcomes.
  • Tool Proficiency: Acquire practical skills in tools like Python, Tableau, and SQL to deploy models responsibly.

Eligibility Requirements for VIT Online M.Sc. in Data Science

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)

Admission Steps for the VIT Online M.Sc. in Data Science

The admission process is a simple, fully online five-step journey designed for your convenience.

  • Step 1: Check Eligibility – Verify that you meet the educational and mark requirements.
  • Step 2: Compile Documents – Gather all necessary academic transcripts and ID proof.
  • Step 3: Submit Application – Complete the application form online and pay the application fee.
  • Step 4: Selection – Your application will be reviewed, and selected candidates will be notified.
  • Step 5: Confirm Admission – Pay the booking amount or semester fee to secure your seat.

Documents You Need to Submit

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)

How Long the Programme Takes and Its Cost

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.

  • Duration: 24 Months.
  • Total Programme Fee: INR 1,70,000.
  • Installment Options:
  • Option 1 (Yearly): INR 85,000 per year.
  • Option 2 (Semester-wise): INR 42,500 per semester.
  • Refund Policy: A tiered refund policy applies, with a 100% refund available if withdrawn 15 days or more before the admission deadline.

Career Options After the Online M.Sc. in Data Science Programme

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

Frequently Asked Questions

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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