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2-Year Advanced Tech Master's Degree

MCA in Data Science

Lead the data revolution. Transition from basic programming to advanced predictive modeling, AI logic, and Big Data architecture to secure elite roles in tech giants.
2 Years
Eligibility: BCA/B.Sc. (CS/IT) or equivalent graduation with minimum 55% marks (Mathematics at 10+2 or Graduation level mandatory)
24L+
Highest Pkg
Mandatory
Data Projects

Department's Advanced Data Science Accomplishments

450+
Data Scientists Placed
24 L
Highest Package
600+
Predictive Models Built
150+
Big Data Infrastructures
20+
MNC Tech Tie-ups
10+
Kaggle Grandmasters
✓ Curriculum aligned with Global AI & Big Data Industry Standards

Overview

What is the MCA Data Science Programme?

The Master of Computer Applications (MCA) with Specialization in Data Science is a high-end postgraduate degree for students looking to move beyond standard software development. Data Science is the engine that powers modern tech companies, and this program teaches you how to design the algorithms that make sense of millions of user data points.Students dive deep into advanced predictive modeling, Big Data ecosystems (Hadoop, Apache Spark), and Deep Learning frameworks. The curriculum moves rapidly from mathematical theories (Linear Algebra, Optimization) into heavy practical implementation using Python, R, and Cloud platforms. The final semester is completely dedicated to an independent corporate Data Science project.
2 Years Duration4 SemestersDeep Tech FocusedHigh Industry Demand
Big Data Tech
Hadoop & Spark
Machine Learning
Predictive Logic
Data Programming
Python & R
Data Visualization
Business Insights

Scope

Expanding opportunities in Big Data, FinTech, and Elite AI Consulting

The world is currently facing a massive shortage of Master-level Data Scientists. Graduates of this program do not just analyze data; they build the systems that analyze data. They are heavily recruited as Senior Data Scientists, Machine Learning Architects, Big Data Engineers, and AI Researchers. Top recruiters include global E-commerce giants (Amazon, Flipkart), FinTech institutions (JPMorgan, Goldman Sachs), and massive AI consulting firms.

Structure

An advanced master's curriculum blending Math, Code, and Big Data

The curriculum dives immediately into the complex mathematics of AI, rapidly transitioning into Machine Learning, Big Data management, and Deep Learning.
A mandatory 6-month corporate internship or a Master's Data Science Capstone must be successfully defended in the final semester.

Value Added Courses for all UG (VAC) — Non Mandatory

Course NameCategoryCredits
Kaggle Competitions & Feature Engineering
VAC0
Generative AI & LLM Fine-Tuning
VAC2
AWS Certified Machine Learning Prep
VAC2

2 Year Advanced Data Scientist Roadmap Roadmap

Your journey from IT graduate to an elite Data Scientist.

YEAR 1Math, Code & Core MLYEAR 2Deep Tech & Internship

Mastering the Foundations of AI

The first year elevates your foundational knowledge, focusing on advanced statistics, Python programming, and core Machine Learning models.

YEAR-1

What you'll learn

Advanced AI MathematicsPython ProgrammingTraining ML Algorithms

AI Tools & Technologies

Python / ScikitMachine Learning Stack

In Classroom Concepts

🤖
ML Models

Predictive modeling

📊
Stats

Understanding variance

Projects You'll Work On

Predictive Setup

Training a supervised model

Data Lab
☰View All Subjects
  • ›Advanced Mathematical Foundations
  • ›Python for Data Analytics
  • ›Machine Learning (Supervised/Unsupervised)
  • ›Big Data Analytics (Hadoop & MapReduce)

Neural Networks & Corporate Deployment

The second year dives into Deep Learning, NLP, and concludes with a 6-month full-time corporate internship to secure your placement.

YEAR-2

What you'll learn

Building Neural NetworksNatural Language ProcessingCorporate Data Lifecycle

AI Tools & Technologies

TensorFlow / AWSDeep Tech & Cloud

In Classroom Concepts

🕸️
Deep Learning

Mimicking the brain

💼
Internship

Real-world tech job

Projects You'll Work On

Corporate Intern

6-Month Live Data Role

MNCs / Startups
☰View All Subjects
  • ›Deep Learning & Neural Networks
  • ›Natural Language Processing (NLP)
  • ›Master's Data Science Capstone Project
  • ›6-Month Corporate Internship

Admission

Transparent fee structure for MCA Data Science

Admission Criteria

Admission through UG marks merit, followed by Personal Interview / CPU Entrance Test.

Admission procedure: For follow-up admissions process. To apply,

Course Fee Structure

Fee Details
Admission Fee (one-time)₹5,000/- (at time of admission)
Tuition Fee₹37,000/- per Semester
Examination Fee₹3,000/- per Semester
Development Fee₹3,000/- per Semester
Caution Money (one-time)₹3,000/- (Refundable)

Scholarships

Based on performance in qualifying exam

% in Qualifying Class [1]Scholarship on Tuition Fees
Above 90%20%
85% – 89.99%10%
75% – 84.99%5%

Why Join

Unlock your potential with a Master's Degree in Data Science

Elite Tech Career Roles

An MCA in Data Science moves you out of the standard software developer crowd and positions you for extremely high-paying roles like Senior Data Scientist.

Mathematical Rigor

Master not just the code, but the complex mathematics (Linear Algebra, Calculus) required to actually understand and build Machine Learning algorithms from scratch.

Advanced Computing Labs

Access high-performance computing (HPC) clusters to process Big Data and train massive deep learning models that a regular laptop cannot handle.

6-Month Corporate Internship

The final 4th semester is completely dedicated to an industrial internship, ensuring you graduate with 6 months of corporate Data Science experience.

Pathway to Global Ph.D.

An MCA from a recognized Indian university sets a perfect foundational base for securing fully-funded Ph.D. positions globally.

Features

Setting us apart from the rest

06

Advanced Big Data Labs

Dedicated Data Analytics Lab equipped with high-end processors to handle Big Data ecosystems like Hadoop and Spark.

07

Expert Tech Faculty

Learn directly from Ph.D. holding professors, former tech architects, and guest Data Scientists working in product firms.

08

Kaggle & Hackathon Culture

Frequent Kaggle competitions and dataset challenges organized internally to build a fierce, practical problem-solving culture.

09

Analytics Placement Assistance

Dedicated placement cells targeting the R&D and Analytics wings of MNCs like Microsoft, Amazon, and emerging FinTech startups.

Apply

Simple 5-step process to join the MCA Data Science programme

Guide to Register Online

STEP 01

Register Yourself

Create your account on the portal with your basic personal details.

Start Your Application

FAQ

Everything you need to know about the MCA Data Science programme

CPU Placement Records

Students Placed in Top Companies

Highest & best placement record in the region

Siraj Ali

Siraj Ali

Course5 Intelligence

8 LPA LPA

Tarun Jain

Tarun Jain

Appcino

10 LPA LPA

Prateek Dhaman

Prateek Dhaman

TCS

9 LPA LPA

Archana Kumari

Archana Kumari

Tech Mahindra

12 LPA LPA

Kiran Daklani

Kiran Daklani

Zalando

75 LPA LPA

Ravindra Singh

Ravindra Singh

ATC

8 LPA LPA

Priya Sharma

Priya Sharma

Infosys

7 LPA LPA

Rahul Verma

Rahul Verma

Wipro

9 LPA LPA

Collaborations

Industry Tie Up's

Tech Mahindra
TCS
Infosys
Wipro
Vodafone
Google
J-Spiders
JustDial
Testimonials

Our Data Scientists Speak

The extreme focus on the mathematics behind algorithms completely changed my perspective. It directly secured my role as a Data Scientist at Microsoft.
Siddharth Jain
Siddharth Jain
MCA Data Science 2022 · Data Scientist, Microsoft
The rigorous training in Big Data ecosystems like Hadoop and Spark, combined with Tableau visualization, made my resume stand out to recruiters at Amazon.
Aditi Sharma
Aditi Sharma
MCA Data Science 2021 · Senior BI Analyst, Amazon
The mandatory 6-month internship in the 4th semester gave me the industry experience I needed. I converted my ML internship directly into a high-paying PPO.
Vikram Singh
Vikram Singh
MCA Data Science 2020 · Machine Learning Engineer
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