Vellore Institute of Technology Online MSc Data Science

  • AICTE & UGC-recognized
  • Strong placement support
  • Industry-focused courses
  • Global learning exposure
  • Research-driven curriculum
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Vellore Institute of Technology


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About

It is said that organising data is the first step towards gathering knowledge hence data is not just a by-product it drives decisions, innovation, business strategy, and competitive advantage.

From analysing customer behaviour and optimising supply chains to building predictive models and deploying artificial intelligence, careers in data science are at the intersection of technology and business.

If you are someone who enjoys extracting insights from numbers, building models, programming and influencing how organisations use data, the VIT Online M.Sc. (Data Science) Program is tailored for you.

The Online M.Sc.(Data Science) from VIT goes beyond simple analytics   it offers a comprehensive curriculum that encompasses big data, machine learning, statistical modelling, business domain-analytics, and electives across diverse fields.

Learners will not only work with data, but interpret it, visualise it, and translate it into actionable strategy.

Delivered by VIT’s distinguished faculty with live sessions, recorded lectures, and flexible online access, this program allows you to study from anywhere and advance your career without relocation.

Approvals

VIT’s Online M.Sc.(Data Science) is backed by strong institutional credentials:

  • UGC-entitled programme for online delivery.

  • The university is accredited by the National Assessment and Accreditation Council (NAAC) with A++ grade.

  • Recognised and ranked among top institutions in India (NIRF) and internationally.


These ensure that the degree you earn is valid for professional employment, higher studies, research roles, and global recognition.

Eligibility

To enrol in the VIT Online M.Sc.(Data Science) Program:

  • A Bachelor’s degree in Engineering, Technology, Mathematics, Statistics, Computer Science or related discipline from a recognised university.

  • Minimum aggregate marks as specified by VIT (for example 60% in many cases for full-time M.Sc programmes) though exact online criteria should be verified directly.

  • Working professionals, fresh graduates, and candidates seeking a career shift are eligible.

  • No entrance exam may be required for the online version (as per programme brochure).

Specializations & Course Fees

This program allows learners to explore advanced domains in data science and apply them in business, finance, healthcare, supply chain and more.

Available Focus Areas / Electives

  • Big Data Analytics
  • Machine Learning / Deep Learning
  • Web & Social Media Analytics
  • Financial Data Analytics
  • Risk Analytics
  • Supply Chain Analytics
  • Natural Language Processing (NLP)
  • Domain-based analytics (healthcare, marketing, etc)

Fee Structure

Category

Semester-wise

Year-wise

Full Course Fee

Domestic Students

β‚Ή 1,70,000 approx (for 2 years)

Additional Fees

Application / exam fees

Payment Options

Online payments, instalments option indicated

   

Admission Process

  1. Visit VIT Online or VIT University’s official online programme portal.

  2. Select “M.Sc.(Data Science) (Online)” programme.

  3. Fill the online application form with personal and academic details.

  4. Upload required documents (graduation marksheet, ID proof, photograph).

  5. Pay the programme/application fee through secure online gateway.

  6. After verification, receive admission confirmation along with online learning platform credentials.

The process is fully digital and designed to accommodate working professionals and remote learners.

Syllabus & Curriculum

The curriculum is structured over four semesters (2 years) and covers foundational, core, elective and project work.

Year

Semester

Core Subjects

Year 1

Sem 1

Linear Algebra; Probability & Distribution Models; Exploratory Data Analysis; Data Structures & Algorithms; Python Programming

 

Sem 2

Forecasting & Predictive Analytics; Statistical Inference; Database Management Systems; Data Mining; Artificial Intelligence

Year 2

Sem 3

Elective I; Elective II; Elective III; Elective IV; Elective V

 

Sem 4

Elective VI; Elective VII; Project / Dissertation

 

Electives may include: Big Data Analytics, Deep Learning, NLP, Financial Analytics, Web & Social Media Analytics, Supply Chain Analytics, Risk Analytics.

Hands-on labs, research components, and industry-oriented assignments form part of the programme.

Placements

The online format does not guarantee placements, but VIT offers career support, alumni network access and industry-aligned curriculum favourable for job roles in analytics and data science.

Aspect

Details

Average Salary

Data not publicly specified for online mode; full-time M.Sc in Data Science at VIT reports packages up to ~β‚Ή9.9 LPA for on-campus.

Top Roles

Data Scientist, Machine Learning Engineer, Business Intelligence Analyst, Data Engineer, Analytics Consultant

Recruiters

Tech companies, Financial Institutions, Healthcare Data firms, E-commerce, Consulting firms

Higher Study Options

PhD in Data Science/AI, Analytics consulting, Research Scientist roles

Frequently Asked Questions

Is the Online M.Sc.(Data Science) from VIT valid? +

Yes , it is UGC-entitled and delivered by a reputed institution with proper accreditation.

Do I need prior programming experience? +

While helpful, beginners with strong quantitative skills can enroll (as per brochure).

Is the programme suitable for working professionals? +

Yes , fully online, with flexibility for live + recorded sessions.

How are exams conducted? +

Typically a mix of online assessments, assignments, and project evaluation (confirm specifics from university).

Is a dissertation or capstone project required? +

Yes , final semester includes project work / dissertation.

Can I pay the fee in instalments? +

Yes , instalment options are indicated by VIT for this programme.

Can I pursue a PhD after this programme? +

Yes , the qualification supports admission to research programmes in data science, AI and analytics.

What specialisations are available? +

Electives span Big Data, ML, AI, Financial Analytics, NLP, Web/Social Media Analytics, Risk Analytics, etc.

Is there a cut-off? +

Admission is merit-based; specific cut-off scores vary by session and applicant pool β€” consult the official portal.

What do students say about the programme? +

Reviews highlight VIT’s strong brand, flexible mode, industry-relevant curriculum, though exact placement data for online mode is less transparent.

Why should you choose VidyaLive

Reputation of Excellence:

VidyaLive is adhere to the High academic standards and dedicated to provide quality education to students. Our educational programs are highly recognized and valuable for candidates.

Updated Industry-Focused Curriculum:

The curriculum of our online programs are up to dated as per industry guidelines. It equips your skills and makes you a valuable asset for a modern and competitive industry.

Affordable Fee Structure:

Get admission to highly recognized online degrees via VidyaLive. We set an affordable fee structure to make education accessible and affordable for students.

Recognized Degrees:

Anybody who wants to get recognized degrees to enhance their career opportunities and growth can easily get admission to our online degrees.

Flexible and Convenient Learning:

By enroll in online courses, you can easily balance your personal and professional commitments. Our online courses do not disturb your current schedule and give you the flexibility to pursue studies at own convenience.

Placement Assistance:

VidyaLive shapes your career by recommend you best universities for online degrees. Not only that, but we also provide you with dedicated placement services to boost your skill set.