BSc Computer Science Syllabus: Subjects and Recommended Books for 2026

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. 

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.

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

Overview of BSc Computer Science Semester-Wise Syllabus

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. 

The BSc Computer Science Syllabus follows a structured semester format. It supports skill development and steady academic progression. Let’s explore the semester-wise syllabus:

BSc Computer Science Syllabus for Semester I and II (1st Year)

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. 

Semester I

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

Name of Subjects	List of Topics Covered
Introduction to Programming using C	Algorithms, Flowcharts, C Basics, Loops, Functions, Arrays, Pointers, Files
Web Designing	HTML, CSS, JavaScript, Layouts, Forms, and PHP Basics
Fundamentals of Computing	Hardware, Software, OS Basics, Networks, Problem Solving Minor / MDC / VAC / AEC from other departments

Semester II

Below is a summary of the Semester II syllabus for B.Sc. Computer Science:

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

BSc Computer Science Syllabus for Semester III and IV (2nd Year)

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. 

The structure prepares students for specialised subjects and application-oriented learning in later semesters.

Semester III

Here is an outline of the BSc Computer Science syllabus for semester II:

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

Semester IV

Following is the overview of subjects/topics in Semester IV of BSc Computer Science:

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

BSc Computer Science Syllabus for Semester V and VI (3rd Year)

The third year of BSc Computer Science focuses on specialised, application-oriented learning and emerging technologies. 

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.

Semester V

Here is a snapshot of the BSc Computer Science syllabus for semester V:

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

Semester VI

Here is a brief summary of the BSc Computer Science syllabus for semester VI:

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

BSc Computer Science Subjects 4th Year

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.

Semester VII

Check out this overview of the BSc Computer Science syllabus for semester VII:

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

Semester VIII

Here’s the semester VII syllabus overview for the Bachelor of Science in Computer Science program:

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

Please note: Based on common syllabi followed by many Indian universities, exact subjects may vary slightly by institution.

Top Colleges Computer Science Syllabus

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.

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: 

Best Computer Science Colleges	List of Computer Science Syllabi
Banaras Hindu University (BHU)	BHU Computer Science Syllabus
University of Delhi	University of Delhi Syllabus
Christ University, Bangalore	Christ University Syllabus
Loyola College, Chennai	Loyola College Syllabus
St. Xavier’s College, Kolkata	St. Xavier’s College Syllabus
SRM Institute of Science and Technology	SRM Institute of Science and Technology Syllabus
Madurai Kamaraj University	Madurai Kamaraj University Syllabus
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya	Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya Syllabus
Central University of Andhra Pradesh	Central University of Andhra Pradesh Syllabus
University of Calicut	University of Calicut Syllabus

Also Learn About: Masters in Computer Science: Eligibility, Top Universities and Salary

BSc Computer Science Books

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. 

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:

List of BSc Computer Science Subjects	Name of Books	Name of Author
Programming Fundamentals (C / C++ / Python)	Let Us C	Yashavant Kanetkar
Programming Fundamentals (C / C++ / Python)	Programming in ANSI C	E. Balagurusamy
Programming Fundamentals (C / C++ / Python)	The C Programming Language	Kernighan and Ritchie
Programming Fundamentals (C / C++ / Python)	Object-Oriented Programming with C++	E. Balagurusamy
Data Structures	Data Structures Using C	Reema Thareja
Data Structures	Fundamentals of Data Structures	Horowitz and Sahni
Data Structures	Data Structures and Algorithms in C++	Michael T. Goodrich
Algorithms / Design and Analysis	Introduction to Algorithms	Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
Algorithms / Design and Analysis	Data Structures and Algorithms Made Easy	Narasimha Karumanchi
Algorithms / Design and Analysis	Fundamentals of Computer Algorithms	Horowitz and Sahni
Database Management Systems (DBMS)	Fundamentals of Database Systems	Ramez Elmasri and Shamkant Navathe
Database Management Systems (DBMS)	Database System Concepts	Silberschatz, Korth, Sudarshan
Database Management Systems (DBMS)	Database Management Systems	Raghu Ramakrishnan
Operating Systems	Operating System Concepts	Silberschatz, Galvin, Gagne
Operating Systems	Modern Operating Systems	Andrew S. Tanenbaum
Operating Systems	Operating Systems	D. M. Dhamdhere
Computer Networks	Computer Networks	Andrew S. Tanenbaum
Computer Networks	Data Communications and Networking	Behrouz A. Forouzan
Discrete Mathematics	Discrete Mathematics and Its Applications	Kenneth H. Rosen
Discrete Mathematics	Discrete Structures	Kolman, Busby, Ross
Software Engineering	Software Engineering: A Practitioner’s Approach	Roger S. Pressman
Software Engineering	An Integrated Approach to Software Engineering	Pankaj Jalote
Web Technologies	Web Technologies (Black Book Series)	Black Book Series
Web Technologies	Programming with Java	E. Balagurusamy
Artificial Intelligence (Basics)	Artificial Intelligence: A Modern Approach	Stuart Russell and Peter Norvig
Artificial Intelligence (Basics)	Introduction to Artificial Intelligence	Rich and Knight
Computer Graphics	Computer Graphics	Donald Hearn and M. Pauline Baker
Computer Graphics	Principles of Interactive Computer Graphics	Newman and Sproull
Computer Organization	Computer Organisation and Architecture	William Stallings
Computer Organization	Computer Organization	Carl Hamacher
Theory of Computation	Introduction to Automata Theory, Languages, and Computation	Hopcroft, Motwani, Ullman
Theory of Computation	Introduction to Formal Languages and Automata	Peter Linz

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.

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For students exploring the BSc Computer Science syllabus, the right academic guidance makes a significant difference. At Leverage Edu, 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.