{"id":829381,"date":"2026-01-24T14:49:53","date_gmt":"2026-01-24T09:19:53","guid":{"rendered":"https:\/\/leverageedu.com\/blog\/?p=829381"},"modified":"2026-01-24T14:49:56","modified_gmt":"2026-01-24T09:19:56","slug":"syllabus-of-bsc-computer-science","status":"publish","type":"post","link":"https:\/\/leverageedu.com\/blog\/syllabus-of-bsc-computer-science\/","title":{"rendered":"BSc Computer Science Syllabus: Subjects and Recommended Books for 2026"},"content":{"rendered":"\n

The BSc Computer Science Syllabus is ideal for students interested in computer science and wider STEM disciplines. The programme covers core computing principles and structured academic training through a well-defined semester system. The subjects in the BSc Computer Science syllabus focus on programming, systems, data handling, and application development to support academic growth and career readiness.\u00a0<\/p>\n\n\n\n

BSc Computer Science is suitable for domestic and international students seeking strong technical foundations. To understand the curriculum structure and subject coverage in detail, continue reading the article below.<\/p>\n\n\n\n

Name of the Course <\/strong><\/td>BSc Computer Science (CS)<\/strong><\/td><\/tr>
Duration<\/strong><\/td>Standard duration is 3 years, divided into 6 semesters.<\/td><\/tr>
Honours Option<\/strong><\/td>4-year BSc Computer Science (Honours) under NEP 2020<\/td><\/tr>
Eligibility<\/strong><\/td>Class 12 (Science stream with Mathematics)<\/td><\/tr>
Admission Mode<\/strong><\/td>Merit-based \/ Entrance exams<\/td><\/tr>
Average Fee of BSc CS<\/strong><\/td>INR 7,000 \u2013 2,00,000 per year<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n\n\n\n

Overview of BSc Computer Science Semester-Wise Syllabus<\/span><\/h2>\n\n\n\n

The subjects in the BSc Computer Science Syllabus offer both theoretical knowledge and practical exposure. The curriculum builds strong fundamentals in programming, systems, and mathematics. It prepares students for advanced study and industry roles. <\/p>\n\n\n\n

The BSc Computer Science Syllabus follows a structured semester format. It supports skill development and steady academic progression. Let\u2019s explore the semester-wise syllabus:<\/p>\n\n\n\n

BSc Computer Science Syllabus for Semester I and II (1st Year)<\/h3>\n\n\n\n

The first year of BSc Computer Science builds the academic foundation of the programme. These semesters introduce basic computing concepts, programming fundamentals, and mathematical principles. They also develop early problem-solving skills and system understanding. <\/p>\n\n\n\n

Semester I<\/strong><\/p>\n\n\n\n

The structure prepares students for advanced subjects in later semesters. Here is an overview of the BSc Computer Science syllabus for semester I:<\/p>\n\n\n\n

Name of Subjects<\/strong><\/td>List of Topics Covered<\/strong><\/td><\/tr>

Introduction to Programming using C<\/strong><\/strong><\/td>		Algorithms, Flowcharts, C Basics, Loops, Functions, Arrays, Pointers, Files<\/td><\/tr>
Web Designing<\/strong><\/strong><\/td>HTML, CSS, JavaScript, Layouts, Forms, and PHP Basics<\/td><\/tr>
Fundamentals of Computing<\/strong><\/td>Hardware, Software, OS Basics, Networks, Problem Solving Minor \/ MDC \/ VAC \/ AEC from other departments<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Semester II<\/strong><\/p>\n\n\n\n

Below is a summary of the Semester II syllabus for B.Sc. Computer Science:<\/p>\n\n\n\n

Name of Subjects in SEM II<\/strong><\/td>List of Topics Covered<\/strong><\/td><\/tr>
Data Structures and Algorithms<\/strong><\/td>Arrays, Linked Lists, Stacks, Queues, Trees, Graphs, Sorting, Searching<\/td><\/tr>
Mobile Application Development<\/strong><\/td>Android SDK, Activities, Intents, UI Design, APIs<\/td><\/tr>
Introduction to Information Technology<\/strong><\/td>Computer Organisation, Storage, Data Communication, Business ProcessingMinor \/ MDC \/ VAC \/ AEC from Other Departments<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

BSc Computer Science Syllabus for Semester III and IV (2nd Year)<\/h3>\n\n\n\n

The second year of BSc Computer Science strengthens core technical knowledge and system-level understanding. These semesters focus on data handling, programming depth, operating systems, and advanced mathematical concepts. <\/p>\n\n\n\n

The structure prepares students for specialised subjects and application-oriented learning in later semesters.<\/p>\n\n\n\n

Semester III<\/strong><\/p>\n\n\n\n

Here is an outline of the BSc Computer Science syllabus for semester II:<\/p>\n\n\n\n

Name of Subjects<\/strong><\/td>List of Topics Covered<\/strong><\/td><\/tr>
Digital Logic and Circuit Design<\/strong><\/td>Number Systems, Boolean Algebra, Gates, Combinational and Sequential Circuits<\/td><\/tr>
Object-Oriented Programming<\/strong><\/td>OOP Concepts, Classes, Inheritance, Polymorphism, Java Fundamentals<\/td><\/tr>
Python Programming<\/strong><\/td>Python Syntax, Loops, Functions, Lists, Strings, Files, OOP in Python<\/td><\/tr>
IT Tools and Applications<\/strong><\/td>Word Processing, Spreadsheets, Presentations, Databases<\/td><\/tr>
Introduction to Cyber Security<\/strong><\/td>Cyber Crimes, Browser and Email Security, Social Media SafetyAEC \/ Minor \/ MDC from Other Departments<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Semester IV<\/strong><\/p>\n\n\n\n

Following is the overview of subjects\/topics in Semester IV of BSc Computer Science:<\/p>\n\n\n\n

Name of Subjects<\/strong><\/td>List of Topics Covered<\/strong><\/td><\/tr>
Mathematics for Computer Science<\/strong><\/td>Sets and Relations, Boolean Algebra, Logic, Probability, Graphs, Trees<\/td><\/tr>
Database Management System<\/strong><\/td>ER Modelling, Relational Algebra, SQL, Normalisation, Transactions, Warehousing<\/td><\/tr>
Computer Organisation<\/strong><\/td>CPU Components, Memory Hierarchy, Addressing Modes, I\/O Interfaces<\/td><\/tr>
Numerical Computing<\/strong><\/td>Error Analysis, Equation Solving, Interpolation, Integration, Differential EquationsMinor \/ AEC from Other Departments<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

BSc Computer Science Syllabus for Semester V and VI (3rd Year)<\/h3>\n\n\n\n

The third year of BSc Computer Science focuses on specialised, application-oriented learning and emerging technologies. <\/p>\n\n\n\n

Fifth and sixth semesters emphasise advanced systems, software development, networking, and elective domains such as artificial intelligence and data science. The structure prepares students for industry roles, higher studies, and project-based professional work.<\/p>\n\n\n\n

Semester V<\/strong><\/p>\n\n\n\n

Here is a snapshot of the BSc Computer Science syllabus for semester V:<\/p>\n\n\n\n

Name of Subjects<\/strong><\/td>List of Topics Covered<\/strong><\/td><\/tr>
Operating System Concepts<\/strong><\/td>Process Management, Memory Allocation, Concurrency, Deadlocks, File Systems<\/td><\/tr>
Design and Analysis of Algorithms<\/strong><\/td>Complexity Analysis, Greedy, Dynamic Programming, Divide and Conquer, NP-Completeness<\/td><\/tr>
Theory of Computation<\/strong><\/td>Finite Automata, Regular Expressions, CFGs, Turing Machines, Decidability<\/td><\/tr>
Java Programming<\/strong><\/td>Java Syntax, OOP, Exceptions, Collections, GUI<\/td><\/tr>
Introduction to Multimedia<\/strong><\/td>Multimedia Elements, Compression, Animation, ApplicationsInternship \/ OJT or Elective<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Semester VI<\/strong><\/p>\n\n\n\n

Here is a brief summary of the BSc Computer Science syllabus for semester VI:<\/p>\n\n\n\n

Name of Subjects<\/strong><\/td>List of Topics Covered<\/strong><\/td><\/tr>
Software Engineering<\/strong><\/td>Life-Cycle Models, Requirements, Design, Testing, Project Management<\/td><\/tr>
Compiler Design<\/strong><\/td>Lexical and Syntax Analysis, Parsing, Type Checking, Code Generation<\/td><\/tr>
Computer Networks<\/strong><\/td>OSI and TCP\/IP Models, Network Layers, Protocols (UDP, TCP, HTTP)<\/td><\/tr>
Artificial Intelligence<\/strong><\/td>Search Strategies, Knowledge Representation, Logic, Learning<\/td><\/tr>
Data Analysis and Visualisation<\/strong><\/td>NumPy, Pandas, Matplotlib, Data Wrangling, Visualisation<\/td><\/tr>
Minor Elective or Project<\/strong><\/td><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

BSc Computer Science Subjects 4th Year<\/h3>\n\n\n\n

The fourth year of the BSc Computer Science programme at Banaras Hindu University focuses on advanced topics, electives, and research-oriented learning. These semesters emphasise specialisation, independent study, and project-based research.<\/p>\n\n\n\n

Semester VII<\/strong><\/p>\n\n\n\n

Check out this overview of the BSc Computer Science syllabus for semester VII:<\/p>\n\n\n\n

Name of Subjects<\/strong><\/td>List of Topics Covered<\/strong><\/td><\/tr>
Machine Learning<\/strong><\/td>Supervised and Unsupervised Learning, Regression, KNN, SVM, Clustering, PCA<\/td><\/tr>
Research Methodology<\/strong><\/td>Research Types, Ethics, Data Collection, Paper Writing<\/td><\/tr>
Elective: Operations Research<\/strong><\/td>Optimisation, Game Theory<\/td><\/tr>
Elective: Cloud Computing<\/strong><\/td>Virtualisation, IaaS, PaaS, SaaS<\/td><\/tr>
Elective: Soft Computing<\/strong><\/td>Neural Networks, Fuzzy Logic, Genetic Algorithms<\/td><\/tr>
Elective: Network Security and Cryptography<\/strong><\/td>AES, RSA, IPSec<\/td><\/tr>
Elective: Heuristics and Metaheuristics<\/strong><\/td>PSO, ACO<\/td><\/tr>
Elective: Knowledge and Data Discovery<\/strong><\/td>Clustering, Association Rules<\/td><\/tr>
Elective: Distributed Systems<\/strong><\/td>RPC, Consistency, File Systems<\/td><\/tr>
Elective: Parallel Computing<\/strong><\/td>Interconnection Networks, MPI<\/td><\/tr>
Elective: Image Processing<\/strong><\/td>Enhancement, Compression, Reconstruction<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Semester VIII<\/strong><\/p>\n\n\n\n

Here’s the semester VII syllabus overview for the Bachelor of Science in Computer Science program:<\/p>\n\n\n\n

Name of Subjects<\/strong><\/td>List of Topics Covered<\/strong><\/td><\/tr>
Project \/ Dissertation<\/strong><\/td>Major Research Project, Viva, Report<\/td><\/tr>
Swayam Course<\/strong><\/td>Approved Online Course from NPTEL or SWAYAM<\/td><\/tr>
Elective: Deep Learning<\/strong><\/td>Neural Networks, RNNs, CNNs<\/td><\/tr>
Elective: Internet of Things<\/strong><\/td>Sensors, Protocols, Applications<\/td><\/tr>
Elective: Blockchain Technology<\/strong><\/td>Consensus, Smart Contracts<\/td><\/tr>
Elective: Information Retrieval<\/strong><\/td>Indexing, Vector Models<\/td><\/tr>
Elective: Statistical Pattern Recognition<\/strong><\/td>Bayes Classifiers, Clustering<\/td><\/tr>
Elective: Image Analysis and Computer Vision<\/strong><\/td>Segmentation, Object Recognition<\/td><\/tr>
Elective: Natural Language Processing<\/strong><\/td>POS Tagging, Parsing, Semantics<\/td><\/tr>
Elective: Data Compression<\/strong><\/td>Huffman Coding, JPEG, Video Standards<\/td><\/tr>
Elective: Mobile Adhoc Networks<\/strong><\/td>Routing, Security<\/td><\/tr>
Elective: Big Data Analytics<\/strong><\/td>Hadoop, Spark, Stream Computing<\/td><\/tr>
Elective: Quantum Computing<\/strong><\/td>Qubits, Algorithms<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Please note:<\/strong> Based on common syllabi followed by many Indian universities, exact subjects may vary slightly by institution.<\/p>\n\n\n\n

Top Colleges Computer Science Syllabus<\/h2>\n\n\n\n

India has a vast network of institutions offering Computer Science programs at undergraduate, postgraduate, diploma, and doctoral levels. These include government colleges, central universities, and private institutions.<\/p>\n\n\n\n

Leading ones are recognized by UGC and AICTE, accredited by NAAC, and often follow outcome-based education with international collaborations. Here are the notable institutions with downloadable PDF syllabi: <\/p>\n\n\n\n

Best Computer Science Colleges<\/strong><\/td>List of Computer Science Syllabi<\/strong><\/td><\/tr>
Banaras Hindu University (BHU)<\/td>BHU Computer Science Syllabus<\/strong><\/a><\/td><\/tr>
University of Delhi<\/td>University of Delhi Syllabus<\/strong><\/a><\/td><\/tr>
Christ University, Bangalore <\/td>Christ University Syllabus <\/strong><\/a><\/td><\/tr>
Loyola College, Chennai<\/td>Loyola College Syllabus <\/strong><\/a><\/td><\/tr>
St. Xavier’s College, Kolkata<\/td>St. Xavier’s College Syllabus <\/strong><\/a><\/td><\/tr>
SRM Institute of Science and Technology<\/td>SRM Institute of Science and Technology Syllabus<\/strong><\/a><\/td><\/tr>
Madurai Kamaraj University<\/td>Madurai Kamaraj University Syllabus<\/strong><\/a><\/td><\/tr>
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya<\/td>Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya Syllabus<\/strong><\/a> <\/strong><\/td><\/tr>
Central University of Andhra Pradesh<\/td>Central University of Andhra Pradesh Syllabus<\/strong><\/a><\/td><\/tr>
University of Calicut<\/td>University of Calicut Syllabus<\/strong><\/a><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

Also Learn About: <\/strong>Masters in Computer Science: Eligibility, Top Universities and Salary<\/strong><\/a><\/p>\n\n\n\n

BSc Computer Science Books<\/span><\/h2>\n\n\n\n

After understanding the subject structure, selecting the right books becomes important. The BSc Computer Science syllabus under NEP 2020 and UGCF follows a common framework across Indian universities. Institutions such as Delhi University and major state universities recommend a mix of Indian and international textbooks. <\/p>\n\n\n\n

The books align with core subjects, lab work, and exam patterns. Most titles include clear theory, worked examples, and practical exercises. The books support conceptual learning and hands-on practice. Here is a list:<\/p>\n\n\n\n

List of BSc Computer Science Subjects<\/strong><\/td>Name of Books<\/strong><\/td>Name of Author<\/strong><\/td><\/tr>
Programming Fundamentals (C \/ C++ \/ Python)<\/strong><\/td>Let Us C<\/td>Yashavant Kanetkar<\/td><\/tr>
Programming Fundamentals (C \/ C++ \/ Python)<\/strong><\/td>Programming in ANSI C<\/td>E. Balagurusamy<\/td><\/tr>
Programming Fundamentals (C \/ C++ \/ Python)<\/strong><\/td>The C Programming Language<\/td>Kernighan and Ritchie<\/td><\/tr>
Programming Fundamentals (C \/ C++ \/ Python)<\/strong><\/td>Object-Oriented Programming with C++<\/td>E. Balagurusamy<\/td><\/tr>
Data Structures<\/strong><\/td>Data Structures Using C<\/td>Reema Thareja<\/td><\/tr>
Data Structures<\/strong><\/td>Fundamentals of Data Structures<\/td>Horowitz and Sahni<\/td><\/tr>
Data Structures<\/strong><\/td>Data Structures and Algorithms in C++<\/td>Michael T. Goodrich<\/td><\/tr>
Algorithms \/ Design and Analysis<\/strong><\/td>Introduction to Algorithms<\/td>Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein<\/td><\/tr>
Algorithms \/ Design and Analysis<\/strong><\/td>Data Structures and Algorithms Made Easy<\/td>Narasimha Karumanchi<\/td><\/tr>
Algorithms \/ Design and Analysis<\/strong><\/td>Fundamentals of Computer Algorithms<\/td>Horowitz and Sahni<\/td><\/tr>
Database Management Systems (DBMS)<\/strong><\/td>Fundamentals of Database Systems<\/td>Ramez Elmasri and Shamkant Navathe<\/td><\/tr>
Database Management Systems (DBMS)<\/strong><\/td>Database System Concepts<\/td>Silberschatz, Korth, Sudarshan<\/td><\/tr>
Database Management Systems (DBMS)<\/strong><\/td>Database Management Systems<\/td>Raghu Ramakrishnan<\/td><\/tr>
Operating Systems<\/strong><\/td>Operating System Concepts<\/td>Silberschatz, Galvin, Gagne<\/td><\/tr>
Operating Systems<\/strong><\/td>Modern Operating Systems<\/td>Andrew S. Tanenbaum<\/td><\/tr>
Operating Systems<\/strong><\/td>Operating Systems<\/td>D. M. Dhamdhere<\/td><\/tr>
Computer Networks<\/strong><\/td>Computer Networks<\/td>Andrew S. Tanenbaum<\/td><\/tr>
Computer Networks<\/strong><\/td>Data Communications and Networking<\/td>Behrouz A. Forouzan<\/td><\/tr>
Discrete Mathematics<\/strong><\/td>Discrete Mathematics and Its Applications<\/td>Kenneth H. Rosen<\/td><\/tr>
Discrete Mathematics<\/strong><\/td>Discrete Structures<\/td>Kolman, Busby, Ross<\/td><\/tr>
Software Engineering<\/strong><\/td>Software Engineering: A Practitioner\u2019s Approach<\/td>Roger S. Pressman<\/td><\/tr>
Software Engineering<\/strong><\/td>An Integrated Approach to Software Engineering<\/td>Pankaj Jalote<\/td><\/tr>
Web Technologies<\/strong><\/td>Web Technologies (Black Book Series)<\/td>Black Book Series<\/td><\/tr>
Web Technologies<\/strong><\/td>Programming with Java<\/td>E. Balagurusamy<\/td><\/tr>
Artificial Intelligence (Basics)<\/strong><\/td>Artificial Intelligence: A Modern Approach<\/td>Stuart Russell and Peter Norvig<\/td><\/tr>
Artificial Intelligence (Basics)<\/strong><\/td>Introduction to Artificial Intelligence<\/td>Rich and Knight<\/td><\/tr>
Computer Graphics<\/strong><\/td>Computer Graphics<\/td>Donald Hearn and M. Pauline Baker<\/td><\/tr>
Computer Graphics<\/strong><\/td>Principles of Interactive Computer Graphics<\/td>Newman and Sproull<\/td><\/tr>
Computer Organization<\/strong><\/td>Computer Organisation and Architecture<\/td>William Stallings<\/td><\/tr>
Computer Organization<\/strong><\/td>Computer Organization<\/td>Carl Hamacher<\/td><\/tr>
Theory of Computation<\/strong><\/td>Introduction to Automata Theory, Languages, and Computation<\/td>Hopcroft, Motwani, Ullman<\/td><\/tr>
Theory of Computation<\/strong><\/td>Introduction to Formal Languages and Automata<\/td>Peter Linz<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n

The BSc Computer Science syllabus is carefully structured to build strong fundamentals and progress toward advanced computing knowledge. The semester-wise subjects, practical labs, electives, and project work ensure balanced academic and technical development. With a curriculum aligned to NEP 2020, the programme prepares students for higher studies, research opportunities, and technology-driven careers.<\/p>\n\n\n\n

FAQs<\/span><\/h2>\n\n\n\n
What are the subjects for BSc Computer Science Syllabus?<\/strong>

The BSc Computer Science Syllabus covers core subjects such as programming languages, data structures, databases, operating systems, computer networks, software engineering, web technologies, mathematics, and practical projects. These subjects build technical knowledge, analytical skills, and problem-solving ability required for computing and IT careers.<\/p> <\/div>

Is BSc Computer Science hard?<\/strong>

BSc Computer Science is moderately challenging. It requires logical thinking, basic mathematics, and regular coding practice. Students who stay consistent with programming and concepts usually find the course manageable and rewarding over time.<\/p> <\/div>

What is the BSc 1st year syllabus?<\/strong>

The BSc Computer Science Syllabus in the first year generally includes programming in C, computer fundamentals, basic mathematics, discrete mathematics, digital electronics, communication skills, and introductory laboratory sessions.<\/p> <\/div>

What is the scope of BSc CS?<\/strong>

BSc CS offers opportunities in software development, IT services, data analysis, testing, and system support. It also provides a solid base for higher studies and professional certifications<\/p> <\/div>

What is the BSc 1st year syllabus?<\/strong>

The BSc first year syllabus focuses on programming basics, mathematical foundations, computer organisation, and hands-on laboratory work to prepare students for advanced subjects.<\/p> <\/div> <\/div>\n\n\n\n

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For students exploring the BSc Computer Science syllabus, the right academic guidance makes a significant difference. At Leverage Edu<\/strong><\/a>, students receive expert counselling, verified university information, and clear insights into curriculum structure and career pathways, helping them plan a successful and future-ready career in the technology domain.<\/p>\n","protected":false},"excerpt":{"rendered":"The BSc Computer Science Syllabus is ideal for students interested in computer science and wider STEM disciplines. 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