Last date of admission: 10 Oct 2024

Course Duration: 2 Years (4 Semester)

Per Semester Fee: Rs. 50,000

Medium of Instruction: English

Salient Features

  • Strong brand image of SASTRA in the corporate sector

  • Semester pattern

  • Interactive learning content and Self Learning Materials (SLM)

  • Personal Contact classes

  • Highly qualified and experienced faculty

  • Affordable fee structure with loan facility at attractive rates

  • Internal Assessment – 30 marks + End semester Exam - 70 marks

About Master of Computer Application

The Masters in Computer Application (MCA) is a specialized program designed to provide students with in-depth knowledge and skills in various aspects of computer science and applications.

This course combines theoretical foundations with practical training, equipping students to excel in software development, database management, networking, and systems analysis. Through a comprehensive curriculum, MCA students gain expertise in programming languages, algorithms, data structures, and software engineering principles.

Students also learn about emerging technologies such as artificial intelligence, cloud computing, NLP, Image processing and others as per their individual interest. With a strong emphasis on hands-on projects, the MCA program prepares graduates for rewarding careers in the ever-evolving field of computer applications.

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Eligibility

Graduate/Bachelors degree (10+2+3 or 10+2+4) or equivalent in any discipline from a recognized university.

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Program Highlights
  • Recognized MCA from a Top Ranked University

    Earn a credible and recognized MCA degree from India’s top ranked University. Sastra is ranked 24 amongst Universities as per NIRF Rankings 2022.

  • Exposure to Emerging Technologies

    Between the mandatory courses and a wide range of electives in varied technical domains, students have the opportunity to pursue knowledge and expertise in multiple areas of emerging technologies that is vital in the present day business environment.

  • Immersive Learning through Project Work

    Students will have the opportunity to identify a real time problem statement at their respective workplace and work through a project in a dynamic learning environment to arrive at a viable and optimal solution.

  • All Round Personality Development

    In addition to pursuing courses that are focussed on building technical competencies, students also get the opportunity to do courses that will help with professional communication and individual personality development.

  • Participate in Job Fairs Organized by Sastra

    Students of the Online MCA programme, are welcome to participate in the Job Fairs and other placement events organized by Sastra on campus.

Learning Outcomes

The online MCA programme will equip students with the necessary theoretical knowledge and practical skills in the world of computing that will enable them to understand the design of complex computer applications.

On the successful completion of this programme, the student will be expected to possess the following:

  • Strong foundation of computer applications and information technology.
  • Skills to develop and work with real-time applications.
  • Communication skills, managerial ability to analyze, design, develop, deploy and maintain software projects

Program Structure

  • Data Structures
  • Numerical
  • Computer Organization
  • Operating Systems
  • Professional Communication (Semi Theory and Semi Practice)
  • Data Structures and Algorithms Laboratory
  • Numerical and Statistical Methods Laboratory
  • Operating Systems Laboratory
  • Soft Skills – 1

  • Database Management Systems
  • Software Design and Testing
  • Object Oriented Analysis and Design
  • Mathematical Foundation for Computer Science
  • Elective I
  • Advanced Java Programming (Semi Theory and Semi Practical)
  • Database Management Systems Laboratory
  • Software Design and Testing Laboratory
  • Soft Skills – 2

  • Algorithm Design
  • Web Technology (Semi Theory and Semi Practical)
  • Big Data Analytics
  • Elective II
  • Elective III
  • Algorithm Design Laboratory
  • Information System Development Laboratory
  • Big Data Analytics Laboratory

  • Theory and Practices of Artificial Intelligence (Semi Theory and Semi Practical)
  • Network Principles and Protocols
  • Elective IV (Students will be allowed to complete this course through SWAYAM)
  • Machine Learning Techniques
  • Project Work and Viva Voce

Online Learning Methodology

e-Tutorial
  • A pre-recorded video of an expert delivering a lesson or presentation on a particular topic.
  • Videos will be uploaded on a weekly basis for 12 weeks.
  • Videos will be available till semester completes.
  • Any time access across devices.
e-Content
  • Asynchronous Mentoring.
  • E-books, Lecture Notes, PPT and Open-Source Materials.
  • The contents will be a mixed of all the above available for the students to use comprehensively.
  • All materials will be and made available from day 1 for the entire semester students can download.
  • It can be accessed any time across devices.
Webinar
  • Synchronous Teaching & Learning.
  • Students must go through / study the previous three weeks content before sitting for webinars.
  • 2 hour duration of each webinar – Every alternate week of the Programme. (2, 4, 6, 8,10,12th weeks).
  • This session will be doubt clearing sessions only of previous weeks content.
Assessment
  • Each Assessments will be MCQs / Descriptive pattern.
  • Totally 6 Assessments starting from 3rd week of the Programme (3,5,7,9,11,13 weeks).
  • All course will have 6 Assessments out of which best of 5 will be taken in to consideration and it is compulsory.

Credits Distribution

Semester 1 2 3 4 Total
Courses 9 9 8 5 31
Credits 21 21 21 17 80

Programme Fees

For Students in India Semester Fee Yearly Fee Total Programme Fee (Lumpsum for 2 years)
Programme Fee INR 50,000 INR 1,00,000 INR 2,00,000
Fee with Early Bird Benefit
(Limited Time Offer)
INR 50,000 INR 85,000 INR 1,40,000

This fees is applicable for admissions towards July 2024 batch.

Fee Includes
  • Interactive learning content and Self Learning Materials (SLM)
  • Live interactive sessions with Sastra faculty and contact classes as specified
  • Semester exam fees for all 4 semesters
  • Convocation Fee
Fee Does Not Include
  • Re-exam fees for any subsequent attempts
  • Any other administrative charges that are not covered above

Payment Options

Option 1 Option 2 Option 3 Option 4
Avail loan/financial assistance. Terms and conditions apply.
Pay Semester 1 fee upfront and thereafter opt to pay the balance as interest free EMIs
Pay the annual fee upfront on or before the specified last date and avail upfront payment discount.
Pay the full programme fee on or before the specified last date and avail upfront payment discount.