CBSE KVS NVS TGT Computer Science Syllabus 2025 – Latest Detailed Syllabus

CBSE KVS NVS TGT Computer Science Syllabus 2025: If you are preparing for the upcoming CBSE KVS NVS TGT Computer Science Exam 2025, having the correct and updated syllabus is your first step toward success. The TGT Computer Science syllabus includes a complete blend of theory, practical concepts, digital literacy, programming fundamentals, networking, database management, web development, cybersecurity, computer hardware, software engineering fundamentals, Python, Java, IT tools, and teaching pedagogy.

CBSE KVS NVS TGT Computer Science Syllabus

This article provides the most accurate and updated CBSE KVS NVS TGT Computer Science Syllabus 2025 PDF Download and includes subject-wise details, exam pattern, topic weightage, pedagogy syllabus and downloadable PDF. Whether you are appearing for CBSE Recruitment, Kendriya Vidyalaya Sangathan (KVS) exam, or Navodaya Vidyalaya Samiti (NVS) Computer Science TGT exam, this single article covers everything you need.

We have included the official-style CBSE KVS NVS TGT Computer Science Syllabus 2025 PDF Download 2025 link below so you can easily save and study offline. This blog post is SEO-friendly, easy to understand, and designed to help you score maximum marks in the written exam. Let’s explore the complete syllabus and prepare in the smartest possible way!

Quick Overview Table

Exam Name	TGT Computer Science (CBSE/KVS/NVS)
Post	Trained Graduate Teacher – Computer Science
Year	2025
Syllabus Type	NCERT + CBSE + KVS/NVS Standard
Major Subjects	Programming, DBMS, OS, Networks, Python, Java, Web Tech
PDF Availability	Yes – Below

Exam Pattern – CBSE KVS NVS TGT Computer Science 2025

Section	Questions	Marks
General English	10	10
General Hindi	10	10
General Awareness / Current Affairs	10	10
Reasoning	10	10
Teaching Methodology (Pedagogy)	20	20
Computer Science (Main Subject)	80	80
Total	140	140

CBSE KVS NVS TGT Computer Science – Detailed Syllabus 2025

Below is the complete and updated subject-wise syllabus. This includes programming, operating systems, database systems, networks, web tech, Python, Java, cybersecurity, IT tools, cloud computing, AI basics, and teaching pedagogy.

1. Computer Fundamentals & Digital Literacy

Basics of Computers
Input/Output Devices
Number System (Binary, Decimal, Hexadecimal)
Logic Gates (AND, OR, NOT, XOR, NAND, NOR)
Boolean Algebra
Memory Types – RAM, ROM, Cache, Virtual Memory
Computer Architecture – ALU, CU, Registers, Buses
Data Representation – ASCII, Unicode

2. Programming Fundamentals

● C/C++ Programming

Data Types, Variables, Constants
Operators & Expressions
Control Statements
Functions – Call by Value, Call by Reference
Arrays, Strings
Pointers, Structures, Unions
File Handling

● Python Programming

Variables & Data Types
Operators, Conditional Statements
User Input/Output
Loops – For, While
Functions, Parameters
List, Tuple, Dictionary, Set
Modules & Packages
Exception Handling

● Java Programming

Introduction to OOP
Classes, Objects, Constructors
Inheritance, Polymorphism, Abstraction & Encapsulation
Interfaces
Exception Handling
Packages
Applets (Basics)

3. Data Structures (DS)

Arrays
Linked Lists
Stacks
Queues
Trees (Basic)
Binary Search Trees
Searching & Sorting Algorithms

4. Database Management System (DBMS)

Introduction to DBMS
RDBMS Concepts
SQL Queries – SELECT, INSERT, UPDATE, DELETE
Primary Key, Foreign Key
Joins
Normalization (1NF, 2NF, 3NF)
ER Models

5. Operating System (OS)

Introduction to OS
Process & Threads
Scheduling Algorithms
Memory Management
File Management
Deadlock
Linux Commands

6. Computer Networks

OSI Model & TCP/IP Model
IP Addressing (IPv4/IPv6)
Network Devices – Router, Switch, Hub
Topologies
Protocols – HTTP, FTP, SMTP
Wireless Technology
Cyber Security Basics

7. Web Technologies

HTML – Tags, Forms, Elements
CSS – Selectors, Classes, IDs
JavaScript – Events, Functions
PHP – Basics
Web Hosting Concepts

8. Software Engineering

SDLC Models – Waterfall, Agile
Feasibility Study
DFD, UML Diagrams
Testing – Unit, Integration, System

9. AI, Cloud & Emerging Technologies

Artificial Intelligence Basics
Machine Learning – Introduction
Cloud Computing Basics
IoT – Sensors & Applications
Cyber Safety

10. Pedagogy for Teaching Computer Science

Nature & Scope of CS Teaching
Instructional Objectives
Constructivist Approach
Teaching through ICT Tools
Assessment & Evaluation
Project-Based Learning
Lesson Planning & Practical Labs

Download PDF – TGT Computer Science Syllabus 2025

Click Here to Download TGT Computer Science Syllabus 2025 PDF

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Frequently Asked Questions (FAQs)

What is the CBSE KVS NVS TGT Computer Science Syllabus 2025?
It includes programming, operating systems, networks, DBMS, Python, Java, web technologies, and pedagogy.
Is the syllabus same for CBSE, KVS and NVS?
Yes, almost 85% of the syllabus is common.
Which programming languages are included?
C, C++, Java, Python and basics of JavaScript.
What is the main subject weightage?
80 marks are for Computer Science.
Is computer network important?
Yes, it carries significant weight.
Is Python asked?
Yes, Python questions frequently appear.
Is Database Management part of the syllabus?
Yes, SQL and DBMS are covered extensively.
Does the exam include Linux?
Yes, basic Linux commands are asked.
Are HTML and CSS included?
Yes, in Web Technology section.
Is Pedagogy included?
Yes, 20 marks for Teaching Methodology.
Does KVS ask numerical problems?
Yes, especially in algorithms and networks.
Is cybersecurity included?
Only basics.
Is this a bilingual exam?
Yes, English & Hindi.
Is there negative marking?
No.
How many questions are asked?
140 questions.
Is C++ included?
Yes, it remains part of the official syllabus.
How to download the PDF?
Use the download button above.
Does SQL include joins?
Yes, inner join, left join, right join.
Are sample papers available?
Yes, on our Telegram channel.
Where can I get free notes?
On www.sarkariresultsera.in.

Tags: TGT Computer Science Syllabus 2025, CBSE KVS NVS TGT CS Syllabus, Computer Teacher Syllabus PDF, KVS Computer Science 2025

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