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Online MCAin Computer Science And IT Eligibility & Duration
Below are the eligibility criteria a candidate must fulfill to pursue an Online MCA in Computer Science & IT.
The minimum duration of an online MCA in Computer Science and IT is 2 years, and the maximum duration is 4 years, but this depends on how the program is set up and how fast you learn. Because online learning is flexible, students can move through the course material at their own pace, which works with their personal and business obligations. This flexibility in length makes it possible for working people to balance continuing their education with the needs of their jobs and personal lives.
Usually, you don’t need any entrance exam for an online MCA. However, some of the exams conducted for a regular MCA are listed below:
| Entrance Exam Required for Online MCA Computer Science & IT | |
| CAT (Common Admission Test) | NIMCET (National Institute of Technology MCA Common Entrance Test) |
| MAH CET (Maharashtra Common Entrance Test) | CUET (Central Universities Entrance Test) |
| XAT (Xavier Aptitude Test) | TANCET (Tamil Nadu Common Entrance Test) |
| MAH CET (Maharashtra Common Entrance Test) | SNAP (Symbiosis National Aptitude Test) |
| PGCET (Postgraduate Common Entrance Test) | ATMA (AIMS Test for Management Admission) |
Note: Some universities offering online MCA programs may also require a good score in the abovementioned exams. So, check your university's eligibility requirements carefully.
Below is a list of the popular books in the Online MCA in Computer Science & IT curriculum.
| Title | Author(s) |
| Introduction to Algorithms | Thomas H. Cormen, et al. |
| Computer Organization and Design | David A. Patterson, John L. Hennessy |
| Operating System Concepts | Abraham Silberschatz, et al. |
| Database System Concepts | Abraham Silberschatz, et al. |
| Software Engineering: A Practitioner's Approach | Roger S. Pressman |
| Computer Networks | Andrew S. Tanenbaum |
| Artificial Intelligence: A Modern Approach | Stuart Russell, Peter Norvig |
| Data Mining: Concepts and Techniques | Jiawei Han, Micheline Kamber |
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