Eligibility Criteria for MCA Admission 2024
- The candidate needs to complete their 10+2 and graduate in any of the disciplines with Mathematics or Statistics as their main subject, from a recognized university.
- Candidates in their final year of graduation can also register for the examination.
Top MCA Exams with Important Dates in India
Below is the list of the top MCA Admission 2024 in India:Entrance Examinations | Conducting University | Important Dates |
---|---|---|
NIT MCA Common Entrance Test (NIMCET) | National Institute of Technology (NIT) Raipur | Application forms: March The last date to submit applications: April Admit Cards: July Exam Dates: August Results: August |
Banaras Hindu University Post Graduate Entrance Exam(BHU PET MCA) | Banaras Hindu University | Application forms: In February Last date to submit applications: In March Admit Cards: In April Exam Dates: In May Results: In June |
Joint Entrance for Masters of Computer Applications (JECA) | West Bengal Joint Entrance Examination Board | Application forms: In March Last date to submit applications: In March Admit Cards: In May Exam Dates: In June Results: In June |
Jawaharlal Nehru University (JNU MCA) | Jawaharlal Nehru University | Start of JNU MCA Online Application process: September 3rd week Last date to submit JNU Online Application: October 2nd week JNU MCA entrance exam: Last week of December JNU MCA result declaration: Last week of February |
Maharashtra Masters of Computer Applications Common Entrance Test(MAH MCA CET) | Directorate of Technical Education-Maharashtra | Application forms: In February Last date to submit applications: In March Admit Cards: In March Exam Dates: In March Results: In March |
Punjab Admissions to MCA Common Entrance Test (PAMCAT) | Punjab University | Date of availability of prospectus and application form: April 4th week Last date for submission of online application form: May 3rd week Availability of Online Admit Card: Last week of MayPAMCAT Entrance Test: June 2nd week Date of declaration of result: Last week of June |
Pune University MCA Entrance Examination | Pune University | Start date of Pune University MCA application form: May 2nd week Last date of Pune University MCA application form: June 2nd week Release of Pune University MCA admit card: June 3rd week Pune University MCA exam: June 4th week Declaration of Pune University MCA result: First week of July 1st week |
Lucknow University Computer Science Admission Test (LUCSAT) | Lucknow University | Application forms: In May Last date to submit applications: In July Admit Cards: In August Exam Dates: In August Results: In September |
National Institute of Technology MCA Common Entrance Test (NIMCET) | National Institute of Technology | Application forms: In February Last date to submit applications: In March Admit Cards: In May Exam Dates: In May Results: In June |
Birla Institute of Technology Mesra MCA Admission Test (BIT Mesra) | Birla Institute of Technology - Ranchi | Application forms: In March Exam Dates: In June |
Goa University MCA Admissions Test | Goa University | Application forms: In May Last date to submit applications: In June Admit Cards: In June Exam Dates: In June Results: In June |
Indraprastha University Common Entrance Test(IPU CET MCA) | Indraprastha University | Application forms: In May Exam Dates: In June Results: In June |
Syllabus – Important Facts For MCA Admission 2024
- Time duration
- Duration changed from three years to two years
- Updated syllabus based on CBCS
- Examination Pattern
- MCA from NIT versus Other Colleges
List of Subjects in MCA Admission 2024
The Masters of Computer Applications program deals with a combination of computer science and information technology subjects. The MCA Admission 2024 program also complements subjects such as Mathematics, and elective subjects such as cloud computing and wireless networks. Below is a list of core and elective subjects in an MCA program:Typical Core Subjects for MCA Admission 2024
Subject title | Subject Details |
---|---|
Mathematical Foundations of Computer Science | Statement (Proposition), Logical Connectives, Conditional, Bi-conditional, Converse, Inverse, Contrapositive, Exclusive OR, NAND, NOR, Tautology, Contradiction, Satisfiable, Duality Law, Algebra of propositions, Mathematical Induction; Set Theory, Combinatorics and Discrete Probability |
Database Management System | Database System Applications, View of data, Advantages, Database languages, users and Administrator, Architecture, SQL, Data Definition, Basic operations, Basic structure of SQL queries, Set operations, Aggregate Functions, Null values |
Object Oriented Programming | Elements of Object Oriented Programming: Object, Encapsulation & data abstraction, Classes, Inheritance and Polymorphism. Programming Basics, Type conversion, Loops and Decisions, Structures, Enumerated Data Types, Simple functions |
Operating Systems | Simple, multi programmed batch systems, distributed systems, time-sharing & real-time systems, Algorithms thrashing Deadlocks, Concurrent Process |
Software Engineering | Software Product, Development approaches and team structures, Process models and SRS: Various Process models, Requirements Functional and non-Functional, Software Document, Requirement Engineering Process, Feasibility Studies, Software Prototyping, Functional models, Structured Analysis, Design Concepts and Principles |
Java Programming | Java Development Kit, Java Runtime Environment, Java Virtual Machine, Bytecode. Java data types, keywords, operators, Type conversion, Arrays, Ragged arrays, ArrayLists |
Data Structures and Algorithms | Basic Concepts: Pseudocode, The Abstract Data Type, Model for an Abstract Data Type, ADT Implementation, Algorithm Efficiency, Time and Space Complexities, Asymptotic Notations, Recursion, Queues, Trees, Graphs |
Web Technologies | Introduction to HTML, Structure of HTML Document, Semantics of HTML Elements and Attributes, HTML Tables and Forms, Introduction to CSS, Types of Styles, Selectors, Style Cascade, The Box Model, Text Styling, PHP Controls, PHP Functions, PHP Arrays. |
Data Analytics | Data Science, steps in data analysis projects, need for analytics, Data- sources of data, data warehouses, data sets, data types, privacy & confidentiality, transformation, samples vs. population, dimensionality reduction, Data Analysis and Visualisation |
Machine Learning | Introduction, Applications, Probability, Parametric Classification, Regression, Tuning Model Complexity, Clustering, regression |
Computer Networks | need for layered architecture and comparison between ISO/OSI, TCP/IP layered models. Significance of Data Link layer and protocols. Network layer functionalities, classless IP addressing, classful, address allocation and role of forwarding module in forwarding the packet using the routing table. |