Online MCA · Specialisation

Online MCA in AI & Data Science

1 universities in our dataset run the AI & Data Science track of the Online MCA. Everything below is what those universities publish officially.

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General specialisation overview: what is an Online MCA in AI & Data Science?

Online MCA in AI & Data Science is the AI & Data Science elective track of the Master of Computer Applications, delivered fully online by UGC-entitled universities. Data science combines statistics, programming and domain judgement to extract predictions and insight from large datasets — from churn models to recommendation engines.

You study Python and R programming, statistics and probability, data wrangling and SQL, machine learning, deep learning basics, big-data tools and data visualisation, closing with a modelling capstone on a real dataset.

Across the 1 university in our dataset that run this track, the programme takes 2 years and costs ₹1,58,000 in total. Your degree certificate reads MCA — the specialisation appears through your elective papers and project, exactly as it does on campus.

Highlights of Online MCA in AI & Data Science 2026

Programme highlights
ProgrammeOnline MCA in AI & Data Science
LevelPostgraduate degree
Duration2 years
ModeOnline
Fee range₹1,58,000
Universities offering it1 in our dataset
Approvals to checkUGC entitlement + UGC-DEB, NAAC grade, AICTE where applicable
Typical entry salary₹4 – ₹9 LPA (role dependent)

General specialisation overview: scope of Online MCA in AI & Data Science

Data-science hiring has broadened beyond product companies into banks, insurers, hospitals and manufacturers, all of whom now run models in production and need people to build and maintain them.

Product and platform companies, analytics services firms, BFSI risk and fraud teams, healthtech, and GCCs of global corporates. For an online learner the practical advantage is timing: you apply each module at work while you study, so by the time the MCA is awarded you already have ai & data science work to talk about in interviews.

Machine learning

Supervised and unsupervised modelling for prediction and segmentation.

Data engineering

Pipelines, warehouses and feature stores that feed the models.

Deep learning

Neural networks for vision, text and sequence problems.

Statistical analysis

Experiment design, inference and causal reasoning.

Visualisation & storytelling

Communicating model output to business stakeholders.

MLOps

Deployment, monitoring and retraining of production models.

Eligibility criteria

Eligibility is set by each university, not by the specialisation. Confirm the exact percentage rule on the university's own admission page before you pay.

  1. 1

    A bachelor's degree of at least three years from a UGC-recognised university.

  2. 2

    Most universities ask for 50% aggregate (45% for reserved categories) — always confirm on the university page.

  3. 3

    No entrance exam at most online universities; a few run an internal aptitude test or interview.

  4. 4

    Working professionals can apply without a break in employment — attendance is not physical.

  5. 5

    Graduates from any stream are usually eligible, though a ai & data science background helps.

Admission process

  1. 1

    Shortlist the university, not just the specialisation — Compare the 1 universities that run AI & Data Science on approvals, fee and semester structure before you register.

  2. 2

    Register on the online-learning portal — Create an account with your mobile number and email, then verify the OTP to open the application form.

  3. 3

    Fill the application and pick the specialisation — Choose MCA and then AI & Data Science as the elective track — the choice is usually recorded at admission or by semester 2.

  4. 4

    Upload documents — Degree certificate, consolidated marksheets, photo ID, passport photo and category certificate where applicable.

  5. 5

    Pay the fee (full, semester or EMI) — Most universities allow semester-wise payment and no-cost EMI; keep the receipt and the fee-structure page.

  6. 6

    Get the enrolment number and LMS access — Verification takes a few working days, after which recorded lectures, e-books and live-class links open up.

Why study AI & Data Science in online mode?

Same degree, UGC-entitled

An online MCA from a UGC-entitled university carries the same academic value as the on-campus degree.

Earn while you learn

Recorded lectures and weekend live classes mean you never have to resign to upskill.

Lower total cost

₹1,58,000 covers the whole programme — no relocation, hostel or commute spend.

Specialisation depth from semester 2

Core management or subject papers come first, then AI & Data Science electives, projects and a capstone.

Portfolio you can show

Case work, live projects and the capstone become interview evidence, which matters more than the mode of study.

Placement support included

Most universities give resume reviews, mock interviews and access to a recruiter portal — assistance, not a guarantee.

General specialisation overview: indicative syllabus of Online MCA in AI & Data Science

Indicative structure compiled from the papers universities publish for this track. The exact paper list and credits are decided by your university.

Semester 1

  • Programming with Python
  • Discrete Mathematics & Statistics
  • Data Structures & Algorithms
  • Database Management Systems
  • Computer Networks

Semester 2

  • Object-Oriented Programming
  • Operating Systems
  • Software Engineering
  • Data Warehousing
  • Web Technologies

Semester 3

  • Machine Learning
  • Statistical Modelling & R
  • Big Data Technologies
  • Data Visualisation
  • Research Methodology

Semester 4

  • Deep Learning & Neural Networks
  • Natural Language Processing
  • MLOps & Model Deployment
  • Data Ethics & Governance
  • Major Project

University-specific data: colleges offering Online MCA in AI & Data Science

Universities offering Online MCA in AI & Data Science
UniversityTotal feeDuration
Online ManipalJaipur, Rajasthan₹1,58,0002 years

Career prospects & indicative salary range 2026

Salary bands are indicative ranges for Indian hiring, not university placement promises. Your package depends on prior experience, city and interview performance.

  • Data Scientist

    8 – 22 LPA

    Owns model development from problem framing to deployment.

  • Machine Learning Engineer

    10 – 25 LPA

    Productionises and scales models with engineering rigour.

  • Data Analyst

    5 – 12 LPA

    SQL, dashboards and exploratory analysis.

  • Data Engineer

    8 – 20 LPA

    Builds and maintains pipelines and warehouses.

  • Research Scientist

    12 – 30 LPA

    Applied research on modelling and algorithms.

  • BI Developer

    5 – 14 LPA

    Builds reporting layers on top of the data platform.

Top recruiters

  • Google
  • Microsoft
  • TCS
  • Accenture
  • Fractal
  • Mu Sigma

Industries hiring

  • Technology
  • BFSI
  • E-commerce
  • Healthtech
  • Consulting
  • Telecom

University-specific data: fees published by each university

University-wise total fee and duration
UniversityDurationTotal fee
Online Manipal2 years₹1,58,000

Specialisation choice rarely changes the Online MCA fee — the figures above are the programme fees published by each university.

Online MCA in AI & Data Science FAQs

Yes, when the university is UGC-entitled for online programmes and listed on UGC-DEB. The degree does not say "online" differently in terms of validity — it is treated at par with the on-campus MCA.

₹1,58,000 for the full programme across the 1 university we track. Semester-wise payment and EMI options are common.

No. Universities price the MCA as one programme; the AI & Data Science choice changes your electives, not the fee.

Some universities let you change the elective track before semester 2 closes. Ask the admission counsellor in writing — it is not guaranteed everywhere.

Universities offer placement assistance: resume help, mock interviews and recruiter portals. That is different from guaranteed placement, so ask what exactly is included for online learners.

More on the Online MCA

Each section below is a full page of its own — open the one you need.

Other MCA specialisations

Not sure which Online MCA to pick?

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