BSc Computer Science Syllabus Structure
The BSc Computer Science syllabus is designed to provide a strong foundation in programming,
computer systems, and software development.
The course combines theory subjects with practical labs and project-based learning.
Year 1: Programming & Computing Fundamentals
The first year focuses on basic programming concepts, mathematical foundations,
and introduction to computer systems.
Semester 1
- Introduction to Computer Science: Basics of computers, hardware, and software.
- Programming in C: Variables, control structures, functions, and arrays.
- Mathematics for Computing: Discrete mathematics and basic logic.
- Digital Electronics: Number systems, logic gates, and Boolean algebra.
- Programming Lab – I: C programming practicals.
Semester 2
- Data Structures: Arrays, stacks, queues, linked lists, and trees.
- Object-Oriented Programming: Concepts using C++ or Java.
- Computer Organization: CPU architecture, memory, and I/O devices.
- Statistics for Computing: Probability and statistical methods.
- Programming Lab – II: OOP and data structure practicals.
Year 2: Core Computer Science Subjects
The second year builds strong core knowledge required for software and system development.
Semester 3
- Database Management Systems: ER models, SQL, normalization.
- Operating Systems: Processes, memory management, and file systems.
- Design & Analysis of Algorithms: Sorting, searching, and complexity analysis.
- Web Technologies – I: HTML, CSS, and basic JavaScript.
- DBMS & Web Lab: SQL and web development practicals.
Semester 4
- Computer Networks: Network models, protocols, and transmission.
- Software Engineering: SDLC models, testing, and project management.
- Java / Python Programming: Advanced programming concepts.
- Web Technologies – II: Server-side scripting basics.
- Programming Lab – III: Java/Python practicals.
Year 3: Advanced Topics & Applications
The final year focuses on advanced technologies, electives, and project work.
Semester 5
- Artificial Intelligence: Basics of AI and intelligent systems.
- Computer Graphics: Graphics devices and rendering techniques.
- Elective – I: Data Science / Cyber Security / Cloud Computing.
- Mini Project: Application-based software project.
Semester 6
- Machine Learning / Big Data: Introduction to advanced computing.
- Elective – II: Mobile App Development / IoT / Blockchain.
- Major Project: End-to-end software development project.
- Project Viva Voce: Evaluation of final project work.
Key Skills Developed During the Course
- Programming and software development
- Problem-solving and algorithmic thinking
- Database and system management
- Web and application development
- Analytical and logical reasoning
Recommended Books for BSc Computer Science
| Subject |
Book Title |
Author |
| Programming |
Programming in ANSI C |
E. Balagurusamy |
| Data Structures |
Data Structures Using C |
Reema Thareja |
| DBMS |
Database System Concepts |
Korth & Silberschatz |
| Operating Systems |
Operating System Concepts |
Silberschatz |
BSc Computer Science Syllabus FAQs
Q1: Is the BSc Computer Science syllabus difficult?
The syllabus is manageable for students with interest in computers and programming.
Concepts are taught from the basics and gradually move to advanced topics.
Regular practice helps in understanding complex subjects.
Q2: Does the syllabus include practical programming?
Yes, practical programming labs are included in every semester.
Students work on coding, databases, and projects.
Practical exposure strengthens industry-ready skills.
Q3: Is the syllabus the same in all universities?
Core subjects are similar across universities.
However, electives and subject depth may vary.
Students should check their university’s official syllabus.
