MCA Syllabus & Subjects List 2026: Download Semester-wise Syllabus PDF

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, and 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, and Simple functions.

Operating Systems

Simple, multi-programmed batch systems, distributed systems, time-sharing & real-time systems, Algorithms thrashing Deadlocks, and Concurrent Processes.

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, and array lists.

Data Structures and Algorithms

Pseudocode, The Abstract Data Type, Model for an Abstract Data Type, ADT Implementation, Algorithm Efficiency, Time and Space Complexities, Asymptotic Notations, Recursion, Queues, Trees, and 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, and 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, and 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.

Microprocessors

Inductive learning, Learning Concepts and rules from Examples, Learning by analogy, Learning from observation and discovery, Learning by experimentation, Learning by training Neural Networks; Genetic-Based Machine Learning (GBML), Learning Classifier Systems (LCS), Genetic Programming.; Analytical learning

Advanced Data Structure and Algorithms

Review of basic data structures, Dynamic data structures, Approximation, Algorithms, and Analysis of the expected time complexity of the algorithms. Probabilistic Algorithms & Randomised Algorithms.

Advanced Computer Architecture

Register Transfer and Micro operations: Register Transfer Language, Register transfer, Bus and Memory Transfer, Arithmetic Micro operations, Logic Micro operations, Shift Micro operations and Arithmetic logic shift units, computer arithmetic

Web-Based Programming

World Wide Web – introduction, Web servers, Client-Server model, Browser architecture, Browser Interface, optional clients, Search engines, optimization of search engines, caching in a web browser, CGI interface; Scripting languages – JSP, ASP; Hypertext – HTML, DHTML, HTTP; Web Programming- Java language, Java Beans, Java Swings, Java utilities, Servlets, Applets, and RMI.

Cloud Computing and IoT

Cloud Computing Fundamentals, Cloud services: Benefits and challenges of cloud Computing, Types of Cloud, Key Characteristics of Cloud Models, Grid Computing, Cluster Computing, Grid Computing v/s Cloud Computing.

Compiler Design

Overview of a Compiler, Lexical Analyzer, Syntax Analysis: PDA, NPDA, Construction of Top-down and Bottom-up parsers from CFG, Recursive descent parser, Operator precedence parser, LR parsers, Semantic Analysis, code optimization.

Wireless Networks

Introduction to Wireless Networks, Wireless Transmission, Modulation techniques - analogue modulation and digital modulation, Spread Spectrum technology, Wireless Medium Access Control, Mobility and Mobile IP, TCP Over Wireless Networks, Mobile Ad Hoc Networks.

Parallel and Distributed Systems

Parallel systems, hardware, SIMD, MISD, MIMD, Multiprocessor systems, Parallel algorithms, Shared memory, message passing, and data parallel programming, Shared memory multiprocessors, Synchronisation, Distributed object-based systems, Distributed file systems.

Data Mining

• Data Processing
• Mining Frequent Patterns And Advanced Pattern Mining
• Classification Techniques
• Clustering Techniques
• Outlier Detection and Application

Students learn to process and analyse data, create models and algorithms and use data mining techniques.

Internet of Things

• IoT Introduction
• IoT Programming
• IoT Applications
• Network of Wireless Sensor Nodes
• MAC, Routing, and Transport Control in WSN

This includes IoT physical design, communication models and IoT-enabled technologies to create applications.

Artificial Intelligence

• Introduction to Artificial Intelligence
• Local Search Algorithms
• Knowledge Representation
• Game Playing
• Natural Language Processing

Review and analysis of complex systems by developing an understanding of the issues involved in defining and simulating perception, comparing and contrasting different AI techniques.

Wireless And Mobile Networks

• Wireless Telecommunications Systems and Networks
• Common Cellular System Components
• Wireless Network Architecture and Operation
• GSM and TDMA Technology
• CDMA Technology, CDPD and Edge Data Networks
• Wireless LAN/ PAN

Formation of basic wireless systems, their functioning, network architecture, data communication, and the functioning of mobile hardware.

Data Science

• Data, Relations and Preprocessing
• Correlation and Regression
• Association Rule Mining and Classification
• Clustering and Time Series Analysis
• Visualisation and Applications

Developing analytical skills to carry out research, improve businesses, work with large amounts of data, and find relevant information and market trends from the data.

Digital Marketing

• Going Digital - The Evolution Of Marketing
• The Search For Success
• Search Engine Optimization
• Email Marketing And Social Media Marketing
• Web Analytics

Develop a structured digital marketing plan and select strategic choices for increasing client acquisition, conversion, and retention. To make digital technology more accessible as a tool and possible requirement for competitive advantage.

Computational Mathematics

• Discrete Mathematics with Applications
• Fundamental Approach to Discrete Mathematics

• Thomas Koshy
• D.P. Acharjya, Sreekumar

Database Management System

• Database System Concepts
• Database Management System

• Abraham Silberschatz, Henry Korth, S. Sudarshan
• Raghu Ramakrishnan, Johannes Gehrke

Object Oriented Programming

• The Complete Reference C++
• Object Oriented Programming in C++

• Herbert Schildt
• Robert Lafore

Operating Systems

• Operating Systems Concepts
• An Introduction to Operating Systems

• A Silberschartz, Peter B. Galvin and Greg Gagne
• H. M. Deitel

Software Engineering

• Software Engineering
• Software Engineering Concepts
• Software Project Management in Practice

• Ian Sommerville
• Richard Fairley
• Pankaj Jalote

Java Programming

• Java The Complete Reference
• Core Java: Volume I - Fundamentals

• Herbert Schildt
• Cay S. Horstmann

Data Structures and Algorithms

• Data Structures – A Pseudocode Approach with C
• Design and Analysis of Algorithms

• Richard F. Gilberg and Behrouz A. Forouzan
• S. Sridhar

Web Technologies

• Fundamentals of Web Development
• PHP and MySQL Web Development

• Randy Connolly, Ricardo Hoar
• Luke Welling, Laura Thomson

Data Analytics

• Making Sense of Data I: A Practical Guide to Exploratory Data Analysis and Data Mining
• Data Mining for Business Intelligence

• Glenn J. Myatt, Wayne P. Johnson
• Galit Shmueli, Nitin R. Patel, and Peter C. Bruce

Machine Learning

• Introduction to Machine Learning
• Machine Learning: A Probabilistic Perspective
• Pattern Recognition and Machine Learning

• Ethem Alpaydin
• Kevin P. Murphy
• Christopher M. Bishop

Computer Networks

• TCP/IP Protocol Suite
• Computer Networks

• Behrouz A. Forouzan
• Tannenbaum, A.S.

Internet of Things

• Internet of Things – A hands-on approach
• Architecting the Internet of Things

• Arshdeep Bahga, Vijay Madisetti
• Dieter Uckelmann, Mark Harrison, Michahelles, Florian