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Institute of Computer Science

Master of Computer Application (MCA)

Master of Computer Application (MCA)

Three-year, full-time PG programme affiliated to Mumbai University &
approved by the Directorate of Technical Education (DTE) &
All India Council for Technical Education (AICTE)

Programme Objective

Master of Computer Application from MET ICS is a prestigious 3 year (6 Semesters) post graduate programme that strikes a balance among the skills required in areas from system development to the enterprise level. The programme provides the students with the right edge in areas of software design and engineering information, architecture and project management.

From 2012 the programme has been fully restructured with credit based grading system (CBGS). A student earns credits as the course proceeds. Further on, from the year 2016 the University has adopted the Choice Based Credit and Grading System. The present system enables a much required shift in focus from teacher-centric to learner-centric education since the workload estimated is based on the investment of time in learning and not in teaching. It also focuses on continuous evaluation which will enhance the quality of education. The syllabus is now more industry-oriented and includes 2 mini projects to be done during summer holidays, thus nurturing their creativity and gaining more credits. The final product is truly a global IT professional, shaped by our experienced faculty through their excellent academic inputs as well as world class facilities at MET.

Are you eligible?

Graduate from a recognized University with Mathematics or Statistics as one of the subjects at 10+2 level or at graduation and minimum of 50% aggregate marks for open category and 45% for reserved category.

Selection Procedure

The students will have to appear for the state-level common entrance test (CET) conducted by Directorate of Technical Education, Mumbai or CET conducted by Maharashtra Association of MCA Institutes (MAMI). The applicants will have to submit CET scores.

Final fees for the academic year 2018-2019 is Rs. 1,33,000/- as per Shikshan Shulk Samiti's announcement.

Programme Outline

The MCA programme has the following approach:

  • Core subjects in Programming, Mathematics and Management fields.
  • Electives like Entrepreneurship, Digital Forensics, Big Data, IOT, Green computing to keep them in touch with the latest in the computing world.
  • The final semester internship project in the industry prepares our students for the rigour of corporate world. The students pursue a six month live project in the industry. Thus, when the students step into the corporate world they are fully equipped with the best IT skills.
  • Unique initiatives and activities like the mentoring system, seminars and workshops , guest lectures, technical magazine ‘The Edge’ and technical festival ‘Tech@MET’ are arranged in order to enhance an all-round growth of each individual student.

MCA: Programme Content

Theory

  • Object Oriented Programming
  • Software Engineering & Project Management
  • Computer Organisation & Architecture
  • IT in Management
  • Statistics and Probability

Practicals

  • Lab I – SEPM and OOP Lab
  • Lab II – Web Technologies & Mini Project Lab

Theory

  • Data Structures
  • Operating Systems
  • Computer Networks
  • Financial Accounting & Management
  • Decision Making & Mathematical Modelling

Practicals

  • Lab I – OS and CN Lab
  • Lab II – DS and WAD using Open Source Tools Lab

Theory

  • Database Management Systems
  • Java Programming
  • Information Security
  • Operation Research
  • Software Testing & Quality Assurance

Practicals

  • Lab I – DBMS and Software Testing Lab
  • Lab II – Java Programming and UML Lab
  • Mini Project

Theory

  • Data Mining and Business Intelligence
  • Advanced Web Technology
  • Computer Graphics
  • Elective I
  • Elective II

Practicals

  • Lab I – Advanced Web Technology and DM-BI Lab
  • Lab II – Computer Graphics & Image Processing
  • Soft Skills Development activity lab
Semester IV – Elective 1 Semester IV – Elective 2
  • Entrepreneurship Management
  • Business Infrastructure & Management
  • ERP
  • Ethics & CSR
  • Digital Forensics
  • Simulation & Modelling
  • Next Generation Networks
  • AI & Soft Computing

Theory

  • Wireless & Mobile Technology
  • Advanced Distributed Computing
  • User Experience Design
  • Elective 1 (Departmental Level)
  • Elective 2 (Institutional Level)

Practicals

  • Lab I – Mobile Application & User Experience Design
  • Lab II – Open Source System for ADC
  • Mini Project
Semester V – Elective 1 Semester V – Elective 2
  • Big Data Analytics
  • Machine Learning
  • Internet of Things
  • Multimedia System Design
  • Intellectual Property Rights and Patents
  • Research Methodology
  • Management Information Systems
  • Green Computing
  • Internship - Project
  • Seminar – Research Papers