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Fees Details

General

1.27 L

Disclaimer: Data for total fees has been calculated based on all years/semesters as provided by the college. The actual fees may vary.

Course Details

Master of Computer Applications (MCA) is a UGC-approved online degree programme in computer applications offered by Lovely Professional University. LPU Online MCA is a two-year, four-semester, online degree course comprising an industry-relevant curriculum. Lovely Professional University Online MCA provides students with the concepts of Software Engineering Practices, Data Communication and Networking, Programming in Java and Python, Mathematical Foundation for Computer Science, Web Technologies, and more.


Programme Offerings

  • UGC-approved online MCA degree
  • Interactive live lectures
  • Recorded content
  • Industry-ready curriculum
  • Skill enhancement courses
  • Learning Management System (LMS)
  • Expert Faculty
  • assignments
  • Online proctored-based end-term examinations
  • Q&A Sessions

Eligibility Criteria

To be eligible for the LPU Online MCA, candidates must meet the following eligibility criteria:

OR

  • A Graduation degree with Computer Science with Mathematics as a subject at Graduation or 10+2 level or equivalent.

OR

  • Candidates with a B.A./ B.Com./ Bachelor of Science with Mathematics as a subject at UG or+2 level or equivalent with additional bridge courses are also eligible.

The Syllabus

Spread across four semesters, the Lovely Professional University MCA online course syllabus 8 general and discipline-specific electives and 2 guest lectures and workshops. There is a total of 104 credits in the LPU online MCA degree program. Candidates can find the detailed LPU online MCA program structure below:

  • Software Engineering Practices

  • Object Oriented Programming Using C++

  • Data Warehousing and Data Mining

  • Linux And Shell Scripting

  • Data Communication and Networking

  • Skill Enhancement Course - I

  • *Programming In C

  • *Database Management System

  • Programming In Java

  • Advanced-Data Structures

  • Introduction To Big Data

  • Cloud Computing

  • Mathematical Foundation For Computer Science

  • Web Technologies

  • Skill Enhancement Course - II

  • Programming In Python

  • Skill Enhancement Course - III

  • Discipline Specific Elective - I

  • Discipline Specific Elective - II

  • Generic Elective - I

  • Generic Elective - II

  • Seminar On Summer Training

  • Skill Enhancement - IV

  • Discipline Specific Elective - III

  • Discipline Specific Elective - IV

  • Generic Elective - III

  • Generic Elective - IV

  • Project Work

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