BSc in Computer Science Syllabus: Semester-wise Breakdown

ARTICLE

Ankit Krishnan

2026-04-16T18:24:37.008+05:30

The BSc Computer Science course provides semester-wise training in programming languages like C++, Java, data structures, databases, AI, cybersecurity, etc. The training equips students with industry-ready skills to work in the software engineering, data analytics, and consulting sectors of the Indian digital economy.

BSc in Computer Science Syllabus: Semester-wise Breakdown

The BSc Computer Science course allows students to develop their programming and data-handling skills and their knowledge of new technologies. The changing curriculum aligns with NEP 2020 and AICTE guidelines, which place a strong emphasis on project work in Python, machine learning, and cloud technologies. The evolving curriculum enables students to master various aspects of software development, data handling, web technologies, and other areas over a series of semesters. This allows them to pursue various high-demand areas within India's digital transformation journey.

BSc in Computer Science Syllabus: Semester-wise Breakdown

This programme provides training in algorithms, networking, and modern computing paradigms. It has included the latest domains in computer science, such as generative AI, blockchain technologies, and DevOps.

BSc in Computer Science Syllabus: Semester 1

BSc Computer Science Semester 1 lays the foundation for programming. It teaches the basics of computer science and its mathematical aspects. It helps learners acquire knowledge in C programming, digital logic, and environmental awareness.

Subject	Topics Covered
Introduction to Programming (C)	Variables, data types, control structures, arrays, functions, and pointers basics
Digital Electronics	Logic gates, Boolean algebra, combinational circuits, flip-flops, and counters
Mathematics I	Sets, relations, functions, matrices, trigonometry, and limits and continuity
Environmental Science	Ecosystems, pollution types, renewable energy, waste management, and sustainability
Communication Skills	Technical writing, comprehension, speaking skills, and group discussions
Computer Fundamentals	Hardware components, number systems, OS basics, and input-output devices

BSc in Computer Science Syllabus: Semester 2

BSc Computer Science Semester 2 advances data structures. The programme builds knowledge of object-oriented concepts and computer organisation. Learners master C++ programming and Linux environments, which are essential for software development.

Subject	Topics Covered
Data Structures	Arrays, linked lists, stacks, queues, trees, sorting algorithms, and searching techniques
Object Oriented Programming (C++)	Classes, objects, inheritance, polymorphism, file handling, and exception handling
Computer Organisation	CPU architecture, memory hierarchy, I/O interfacing, and pipelining basics
Discrete Mathematics	Propositional logic, graphs, trees, combinatorics, and recurrence relations
Open Source Software (Linux)	Linux commands, shell scripting, file systems, and process management
Mathematics II	Differential calculus, integral calculus, sequences, and series

BSc in Computer Science Syllabus: Semester 3

BSc Computer Science Semester 3 focuses on database systems. The programme emphasises web technologies and analytical skills. Students implement Java applications and database management systems, which are crucial for full-stack development.

Subject	Topics Covered
Database Management Systems	ER modelling, SQL queries, normalisation, transactions, and indexing
Java Programming	OOP concepts, applets, swings, JDBC connectivity, and multithreading
Web Technologies	HTML, CSS, JavaScript, PHP basics, and server-side scripting
Operating Systems	Process management, memory management, file systems, and deadlocks
Analytical Skills I	Logical reasoning, quantitative aptitude, and problem-solving techniques

BSc in Computer Science Syllabus: Semester 4

BSc Computer Science Semester 4 develops software engineering practices. The programme covers networks and advanced data structures. Learners design systems and master algorithm analysis for enterprise applications.

Subject	Topics Covered
Computer Networks	OSI model, TCP/IP, LAN technologies, routing protocols, and network security
Software Engineering	SDLC models, requirement analysis, design patterns, and testing strategies
Advanced Data Structures	Graphs, hashing, AVL trees, B-trees, and algorithm complexity analysis
System Analysis & Design	UML diagrams, feasibility studies, prototyping, and CASE tools
Analytical Skills II	Data interpretation, critical thinking, and case studies

BSc in Computer Science Syllabus: Semester 5

BSc Computer Science Semester 5 introduces AI and modern tools. The programme concentrates on Python programming and cloud concepts. Students build machine learning models and software projects vital for data-driven careers.

Subject	Topics Covered
Python Programming	Syntax, libraries, data analysis, web scraping, and GUI development
Artificial Intelligence	Search algorithms, knowledge representation, expert systems, and neural networks
Cloud Computing	Virtualisation, AWS/Azure basics, cloud security, and serverless architecture
Introduction to Data Science	Data preprocessing, visualisation, regression, and clustering algorithms
Software Engineering Practices	Agile methodologies, DevOps tools, and CI/CD pipelines

BSc in Computer Science Syllabus: Semester 6

BSc Computer Science Semester 6 integrates emerging technologies. The programme culminates with cybersecurity, projects, and specialisations. Learners develop full-stack applications and industry internships for professional readiness.

Subject	Topics Covered
Cybersecurity	Cryptography, ethical hacking, firewalls, intrusion detection, and compliance standards
Web Development Frameworks	React.js, Node.js, MongoDB, REST APIs, and deployment strategies
Machine Learning	Supervised/unsupervised learning, deep learning basics, and model deployment
Mobile App Development	Android/iOS basics, Flutter, API integration, and app security
Major Project	End-to-end software development, testing, documentation, and presentation
Internship	Industry exposure, live projects, and skill enhancement

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Frequently Asked Questions

How does BSc Computer Science incorporate generative AI technologies?

Semester 6 Machine Learning covers GANs, transformers, and ChatGPT-like models, preparing students for AI content creation and automation roles.

What blockchain concepts feature in the computer science curriculum?

Electives teach smart contracts, Ethereum development, DeFi protocols, and NFT standards, enabling careers as Web3 developers.

Which DevOps tools does the BSc Computer Science programme teach?

Semester 5 Software Engineering covers Docker, Kubernetes, Jenkins, and GitHub Actions for CI/CD pipeline automation, all of which are essential for cloud-native applications.

How does the curriculum address cybersecurity zero-trust architecture?

Cybersecurity module explores identity verification, micro-segmentation, and SASE models, training students for enterprise security operations.

What edge computing topics appear in the syllabus?

The Cloud Computing semester covers IoT edge devices, 5G integration, latency optimisation, and the preparation of graduates for smart-city and autonomous-systems development.

BSc Computer Science Syllabus 2026: Semester-wise Syllabus Structure | Latest Trends in Syllabus

BSc in Computer Science Syllabus: Semester-wise Breakdown

BSc in Computer Science Syllabus: Semester-wise Breakdown

BSc in Computer Science Syllabus: Semester-wise Breakdown

BSc in Computer Science Syllabus: Semester 1

BSc in Computer Science Syllabus: Semester 2

BSc in Computer Science Syllabus: Semester 3

BSc in Computer Science Syllabus: Semester 4

BSc in Computer Science Syllabus: Semester 5

BSc in Computer Science Syllabus: Semester 6

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Frequently Asked Questions

How does BSc Computer Science incorporate generative AI technologies?

What blockchain concepts feature in the computer science curriculum?

Which DevOps tools does the BSc Computer Science programme teach?

How does the curriculum address cybersecurity zero-trust architecture?

What edge computing topics appear in the syllabus?