Syllabus

BCA Syllabus 2025 Full Details: Semester-wise Topics, Labs & Project Work

Review the BCA course curriculum for 2025, highlighting subjects, laboratory sessions, and project work. Understand the academic journey to prepare for a successful career in computer applications.

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Bachelor of Computer Applications (BCA) is a 3-year undergraduate program designed to equip students with a strong foundation in computer science, programming, software development, and IT applications. The course is divided into six semesters, covering fundamental and advanced topics across programming languages, databases, networking, web technologies, software engineering, and emerging areas such as cloud computing and artificial intelligence.

This comprehensive syllabus helps students gain theoretical knowledge alongside practical skills, preparing them for IT careers or higher studies in computer science.

Exam Overview

Parameter Details
Course Duration 3 Years (6 Semesters)
Exam Mode Semester-wise theory and practical exams
Evaluation Written exams, practicals, project work
Maximum Marks Varies by subject (typically 100 per paper)
Passing Criteria Minimum 40-50% per subject

Semester-wise Subjects and Topic-wise Details

Below is the detailed syllabus including number of questions, marks, and core topics covered in each subject.

Semester 1

Subject Questions Marks Topics Covered
Computer Fundamentals & Office Automation 50 100 Computer basics, hardware/software, OS concepts, MS Word, Excel, PowerPoint, Internet basics
Programming Principles & Algorithms 50 100 Algorithms, flowcharts, programming basics, data types, control structures, functions
Mathematics – I 50 100 Sets, relations, functions, algebra, matrices, determinants
Business Communication 50 100 Communication theory, business letters, emails, report writing, oral communication

Semester 2

Subject Questions Marks Topics Covered
Programming in C 50 100 Syntax, data types, operators, control flow, arrays, strings, functions, pointers
Mathematics – II 50 100 Logic, probability, statistics, combinatorics
Digital Electronics 50 100 Number systems, Boolean algebra, logic gates, combinational & sequential circuits
Environmental Studies 50 100 Ecosystem, biodiversity, pollution control, environmental policies

Semester 3

Subject Questions Marks Topics Covered
Data Structures 50 100 Arrays, linked lists, stacks, queues, trees, graphs, sorting & searching algorithms
Database Management System 50 100 ER model, relational model, SQL, normalization, transactions
Object-Oriented Programming (C++) 50 100 Classes, objects, inheritance, polymorphism, encapsulation, abstraction
Operating System Basics 50 100 OS functions, process scheduling, memory management, file system

Semester 4

Subject Questions Marks Topics Covered
Computer Networks 50 100 Network topologies, OSI & TCP/IP models, IP addressing, routing, network security
Web Technologies 50 100 HTML, CSS, JavaScript, PHP, MySQL
Software Engineering 50 100 SDLC, requirement analysis, design, testing, maintenance
Mathematics – III 50 100 Calculus, differential equations, eigenvalues, eigenvectors

Semester 5

Subject Questions Marks Topics Covered
Advanced Java Programming 50 100 Java environment, exception handling, multithreading, collections framework, JDBC
Computer Graphics 50 100 Graphics primitives, 2D & 3D transformations, viewing, clipping
Mobile Application Development 50 100 Android architecture, UI design, activities, intents, SQLite
Management & Organizational Behavior 50 100 Principles of management, organizational culture, leadership, motivation

Semester 6

Subject Questions Marks Topics Covered
Software Project Management 50 100 Project planning, scheduling, risk & quality management, Agile and Scrum methodologies
Cloud Computing 50 100 Cloud service models (IaaS, PaaS, SaaS), virtualization, deployment, cloud security
Elective (AI/Data Science) 50 100 AI basics, machine learning fundamentals, data visualization, Python libraries
Project / Internship – 100 Software development project: requirement analysis, design, implementation, testing, reporting

Core Subjects Details

Core Subject Semester(s) Key Topics
Computer Fundamentals & Office Automation 1 Basics of computer, hardware/software, OS, office automation tools
Programming Principles & Algorithms 1 Programming basics, algorithms, flowcharts
Programming in C 2 C programming syntax, functions, pointers
Data Structures 3 Linear & non-linear data structures, sorting/searching
Database Management System 3 ER model, SQL, normalization
Operating System 3 Process scheduling, memory management, file system
Computer Networks 4 Network models, protocols, IP addressing
Web Technologies 4 HTML, CSS, JavaScript, PHP, MySQL
Software Engineering 4 SDLC, requirement analysis, testing
Advanced Java 5 Java environment, multithreading, JDBC
Software Project Management 6 Project planning, Agile methodologies

Electives and Specialization Options

In final semesters, students may specialize in areas based on interests and career goals.

Specialization Area Key Topics Covered
Artificial Intelligence Machine learning, neural networks, AI algorithms
Data Science Data mining, visualization, big data
Cloud Computing Cloud platforms, services, security
Mobile App Development Advanced Android/iOS development
Software Testing Testing methodologies, tools, automation

Recommended Books for BCA Syllabus

  • Computer Fundamentals: “Fundamentals of Computers” by V. Rajaraman
  • Programming in C: “Let Us C” by Yashwant Kanetkar
  • Data Structures: “Data Structures Using C” by Reema Thareja
  • DBMS: “Database System Concepts” by Silberschatz, Korth, Sudarshan
  • Operating System: “Operating System Concepts” by Silberschatz, Galvin
  • Computer Networks: “Computer Networking: A Top-Down Approach” by Kurose and Ross
  • Web Technologies: “Web Technologies” by Achyut S. Godbole & Atul Kahate
  • Software Engineering: “Software Engineering” by Ian Sommerville
  • Advanced Java: “Core Java Volume I – Fundamentals” by Cay S. Horstmann
  • Cloud Computing: “Cloud Computing: Concepts, Technology & Architecture” by Thomas Erl

Preparation Tips for BCA Exams

  1. Understand Basics Thoroughly: Start with fundamental computer concepts and programming logic before diving into advanced topics.
  2. Practice Coding Regularly: Hands-on coding practice in C, C++, Java, and scripting languages strengthens understanding.
  3. Use Reference Books and Online Tutorials: Combine textbooks with video tutorials and coding platforms like HackerRank or LeetCode.
  4. Revise Syllabus Periodically: Keep revisiting core concepts and important chapters to retain knowledge.
  5. Work on Projects: Practical implementation through mini projects or internships boosts learning and resumes.
  6. Group Study & Discussion: Discussing topics with peers helps clarify doubts and gain new insights.

Download BCA Syllabus PDF

Click here to download the complete BCA syllabus PDF

Conclusion

The BCA syllabus offers a balanced mix of theory and practical knowledge essential for a successful IT career. With a structured approach to the syllabus, consistent practice, and proper resources, students can excel in their exams and be ready for the dynamic IT industry.

Photo of Gaurav Gaurav Send an email 3 weeks ago
0 614 4 minutes read
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