Computer Studies

Master of Computer Applications (MCA)

Specialization in Full Stack App Development and Big Data Engineering

Eligibility: A pass in UG Degree – BCA / B.Sc. (CS /IT / CT) with at least one paper in Mathematics in +2/ Degree level

Duration: 2 Years Full time

We are collaborated with $5million US Based Company “One Whistle Inc” where students will get opportunities to work in live projects.

The programme provides in depth knowledge and to impart skills for developing web- mobile applications and data handling.

The specializations offered are: ‘Full Stack App. Development’ and ‘Big Data Engineering’.

Uniqueness of our curriculum:
  • MERN Stack (MongoDB, Express JS, React JS, Node JS)
  • React native JS
  • Android Programming
  • Swift Programming
  • ETL & Batch Processing (Sqoop, Flume, Hive, Pig, HBase, Oozie)
  • Stream Processing (Spark, Storm)
  • Big Data Analytics



Semester - 1

The semester focuses on front-end user experience development foundation including responsive web application, interactive modules and front-end API services

HTML 5 | CSS| Java Script & J-Query | Express JS

Semester - 2

It focuses on back-end services and server side technologies to enable the students to develop end-to-end web applications.

React JS | Node JS | Mongo DB

Semester - 3

This semester empower the students capability through the development of hybrid mobile app (android and iOS compatible) by designing functional product.

React Native JS

Semester - 4

This semester mainly deals with native Mobile App. development to enhance the expertise of students' end-to-end Tech product design & development.

Android Programming | Swift



Semester - 1

The semester develops an understanding of the various applications of Big Data, Data Structures & Algorithms that forms the basis of Big Data systems used in the industry.

Java | Data Structures & Algorithms | Foundations of Big Data Systems

Semester - 2

This semester focuses on Batch Data Processing which involves data extraction, transformation & storage for basic data engineering.

Hadoop | Hive | HBase | Scala | Oozie | Pig

Semester - 3

The semester will advance the learner to use real-time stream processing and big-data analytics to perform regression, classification and clustering of data.

Spark | Flume | Storm | Big Data Analytics

Semester - 4

The final semester focuses on capstone project to build holistic business analytics solutions involving data capturing, storing, processing and analysing data.

Major Project

  • Partners with “One Whistle Business Solutions Pvt. Ltd.”, Silicon Valley Team, California, USA to work in real-time product development.
  • Our curriculum is in par with the world's latest technologies.
  • Our students are tailor-made by engaging them in live projects and internships according to the demands of the industry.
  • Subject experts in core areas viz. Big Data Engineering augmented by well equipped infrastructure.
  • Front End Developer
  • Full Stack Developer
  • Hybrid Mobile App Developer
  • Native App Developer
  • Java Developer
  • ETL Developer
  • Big data Analyst
  • BI Developer
  • Big Data Engineer