Distance MCA


MCA programme of SGVU-DE is designed to help students meet the increasing demand of qualified professionals in the field of Computer Science and Information Technology. It emphasizes on the application of software’s to solve scientific as well as commercial problems. The programme provides thorough and sound background in theoretical and practical application including latest trends in software development. MCA is the dynamic course designed to provide foundation for research in the core and emerging areas of the discipline.


  • To lay sound foundation for conceptual understandingwith an insight into the intricacies of software and dynamic business environment.
  • To provide excellent theoretical and practical exposure in the algorithm designing & optimization, programming, network & database management, mobile technologies and more.
  • To guide the students for better knowledge of computer applications and develop programming skills coupled with managerial skills to help students meet the rising manpower demands of the global IT industry.
  • To equip students with emotional maturity, analytical ability, cross functional capability and skills to operate effectively in multicultural global business environment.




Semester 1 Semester 2
Database Management System Enterprise Resource Planning
Object Oriented Prog with C++ Advance Database Management System
Software Engineer M.I.S & Business Intelligence
Operting System Concepts Design & Analysis of Algorithm
Data Communication & computer Network Data Structure Using C++
Lab - Object Oriented Prog With C++ Lab - Data Structure Using C++

Students to select any one elective bucket in second year from four options provided below

Year 2



Full Stack



Semester 3

Essentials of Data Science Introduction to Linux Big Data Analytics Linux Administration
Machine Learning concepts using Python HTML, CSS and Javascript Data Analytics Using Python Introduction to Cloud Computing
Big Data Hadoop User Interface, Experience, Design SQL for Data Analytics Introduction to Amazon Web Services
Business Application of Machine Learning DevOps -1 (GIT, Jenkins, Docker) Web Analytics Introduction to Microsoft Azure services
Statastic and Python in Machine Learning Software Architecture Digital Media Analytics Cloud Programming
 Time Series Analysis and Forecasting Techniques  Prototyping  IOT and Data Analytics Cloud Virtualization
  Lab - Cloud Programming   Lab - Cloud Programming   Lab - Cloud Programming Lab - Cloud Programming

Semester 4

Deep Learning and NLP Web Services- Rest API, ReactJS, NodeJS Development Data Analytics using R Introduction to Google Cloud services
IOT Cloud and Watson Analytics DevOps-2 (Ansible, Puppet, Nagios) Data Analytics for Decision Making Introduction to IBM Cloud Services
Web, Social Analytics and Visualization Python Programming Data Analytics for Business Cloud Computing for Businesses
Spark on Azure HD Version Control System Google Analytics Cloud Networking
Basic R Programming Software Deployment Marketing Analytics Cloud Security
Lab - Data Analytics Lab - Data Analytics Lab - Data Analytics Lab - Data Analytics
Project Project Project Project

Students to select any one elective bucket in second year from four options provided below


  • Any Graduate with min 45% with Mathematics as a subject or possessing technical degree like B.Tech/ BE./ BCA/B.Sc - CS/ B.Sc-IT

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