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MCA (Afternoon Batch)

MCA course in Delhi

Master of Computer Application* + ADMIT**
Eligibility :10+2 or equivalent examination from board of education /CBSE or any other recognised board. Mathematics is not compulsory subject in 10+2.
Duration : 5 Years (Integrated Course after 10+2)

Objective: The MCA program prepares students to take up positions as system analysts, systems designers, Programmers and managers in any field related to information technology. The program, therefore, aims at imparting comprehensive knowledge with equal emphasis on theory and practice. The MCA students are encouraged to spend a full semester working in the industry in the institute giving them insight into the workings of the IT world.

Course Curriculum :

1st Year

  • Computer Fundamental
  • Computer Programming & Problem Solving Using C
  • Mathematics-I
  • Business Flow System
  • Operating System-I
  • Communication & Presentation Skills
  • Lab Based on Computer Fundamentals
  • Lab Based on C Language
  • HTML, CSS
  • Java Script
  • WordPress
  • Introduction to Web Servers (IIS, Apache, Tomcat)
2nd year

  • Data Structure & Algorithms
  • Database System
  • Digital Electronics
  • Computer Organisation and Architecture
  • Mathematics-II
  • Computer Skills-Scientific & Technical Writing
  • Lab Based On Data Structure
  • Lab Based On DBMS
  • C#
  • Introduction to .Net 4.5
  • SQL Server Database
  • XML
3rd Year

  • Computer Networks
  • Object Oriented Programming using C++
  • Software Engineering
  • Internet Fundamentals
  • Mathematics-III
  • Social Implication of IT
  • Lab Based on C++
  • Minor Project
  • JQuery & Ajax
  • PHP & MySQL
4th Year

  • Computer Graphics & Multimedia
  • Artificial Intelligence
  • Analysis & Design of Computer Algorithms
  • Operating System-II
  • Computer Networks-II
  • Management Information System
  • Lab Based on Computer Graphics and Multimedia
  • Lab Based on Artificial Intelligence
5th Year

  • Principles of Programming Languages
  • Advance Architecture and Parallel Processing
  • Object Oriented Design and Modeling
  • System Simulation and Modeling
  • Data Mining and Data Warehousing
  • Project