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KVS PGT Computer Science Syllabus 2026: Exam Pattern & PDF Download

R
Virat
Updated: Jun 13, 2026
6 MIN READ
Access the comprehensive KVS PGT Computer Science Syllabus 2026 and exam pattern to streamline your preparation. Master topic-wise weightage, scoring schemes, and the latest exam structure to boost your chances of clearing the KVS PGT Computer Science recruitment with a high-performance study plan.

KVS PGT Computer Science Syllabus

The KVS PGT Computer Science Syllabus 2026 is meticulously designed to assess a candidate's technical proficiency, language comprehension, pedagogical insight, and overall professional readiness. To succeed, aspirants must master both the core Computer Science curriculum and effective teaching methodologies essential for modern classroom environments.

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KVS PGT Computer Science Syllabus 2026
Organization Name Kendriya Vidyalaya School (KVS Recruitment 2026)
Conducting Body Kendriya Vidyalaya Sangathan
Post Name PGT Computer Science
Vacancies Notified Later
KVS Job Profile National
Mode of Application Online
Mode of Examination Online
KVS Selection Process Written Test & Interview

KVS PGT Computer Science Exam Pattern 2026

Aligning your study with the KVS PGT Computer Science Syllabus 2026 and revised exam pattern is critical for success. The selection process consists of two-tier examinations followed by an interview. The final merit list is determined by an 85:15 weightage ratio between the Tier-2 performance and the 100-mark interview.

Download KVS PGT Computer Science Syllabus 2026 PDF

KVS PGT Computer Science Tier-1 Exam Pattern 2026

Tier-1 is a qualifying, objective OMR-based test. The paper consists of 100 questions, each carrying 3 marks, for a total of 300 marks.

KVS Computer Science Tier-1 Exam Pattern
Test Components No. of Questions Total Marks Duration
Part I- General Reasoning 20 60 2 Hours
Part II- Numeric Ability 20 60
Part III – Basic Computer Literacy 20 60
Part V – Language Competency (English) 10 30
Part VI – Language Competency (Modern Indian Language) 10 30
Total 100 300

KVS PGT Exam Pattern 2026

KVS PGT Computer Science Tier-2 Exam Pattern 2026

Tier-2 is a subject-specific knowledge test (Pen-Paper and OMR-based). Candidates are given 2.5 hours to complete the examination, with no specific sectional time limits enforced.

KVS Computer Science Tier-2 Exam Pattern
Components of Test Type No. of Questions Total Marks Duration
Subject knowledge Objective 60 60 2.5 hours
Subject knowledge Descriptive 10 40
Total 70 100

Detailed KVS PGT Computer Science Syllabus 2026

Based on the NCERT/CBSE curriculum for Classes XI and XII, the KVS PGT Computer Science Syllabus 2026 focuses on both theoretical concepts and practical applications. Aspirants should prioritize programming proficiency, database management, networking, and awareness of emerging technological trends.

Detailed KVS PGT Computer Science Syllabus 2026
Unit  Topics
Computer Systems and Organisation
  • Basic Computer Organisation:
    • Introduction to computer systems: hardware, software
    • Input/output devices
    • CPU structure
    • Memory types: primary, cache, secondary
    • Units of memory: Bit, Byte, KB, MB, GB, TB, PB
  • Types of Software:
    • System Software: Operating system, system utilities, device drivers
    • Programming tools: Language translators (Assembler, Compiler, Interpreter)
    • Application Software
  • Operating System (OS):
    • Functions and types of OS
    • OS user interfaces (CLI and GUI)
  • Boolean Logic:
    • Logic gates: NOT, AND, OR, NAND, NOR, XOR
    • Truth tables
    • De Morgan’s Laws
    • Logic circuits
Computational Thinking and Programming – 1
  • Problem Solving:
    • Steps: Problem analysis, algorithm development, coding, testing, debugging
    • Representing algorithms: Flowcharts and pseudocode
    • Decomposition techniques
  • Python Programming Basics:
    • Introduction and features
    • “Hello World” program
    • Execution modes: Interactive vs. Script mode
    • Python character set, tokens (keywords, identifiers, literals, operators, punctuators)
    • Variables, l-value, and r-value
    • Comments in Python
  • Data Types:
    • Numeric: Integer, Float, Complex
    • Boolean
    • Sequence: String, List, Tuple
    • Mapping: Dictionary
    • None
    • Mutable vs Immutable types
Society, Law, and Ethics
  • Digital Footprints and Net Etiquette
  • Data Protection and IPR:
    • Copyright, Patent, Trademark
    • Plagiarism, Open-source licenses (GPL, Apache, Creative Commons)
  • Cybercrime: Hacking, Eavesdropping, Phishing, Ransomware
  • Cyber Safety:
    • Safe browsing, identity protection, confidentiality
    • Cyberbullying, cyber trolls
Computational Thinking and Programming – 2
  • Functions in Python:
    • Built-in, Module-based, User-defined functions
    • Parameters (positional, default), return values
    • Variable scope (local, global)
  • File Handling:
    • File types: Text, Binary, CSV
    • Paths: Absolute and Relative
    • File operations: open modes (r, r+, w, w+, a, a+), closing files
    • with clause usage
    • File methods: write(), writelines(), read(), readline(), readlines(), seek(), tell()
Computer Networks
  • Networking Evolution: ARPANET, NSFNET, INTERNET
  • Data Communication Basics:
    • Components: sender, receiver, message, media, protocol
    • Concepts: Bandwidth, Data Transfer Rate, IP Address
    • Switching: Circuit and Packet switching
  • Transmission Media:
    • Wired: Twisted pair, Co-axial, Fiber optic
    • Wireless: Radio, Microwave, Infrared
  • Network Devices: Modem, Ethernet card, RJ45, Repeater, Hub, Switch, Router, Gateway, WiFi card
Database Management
  • DBMS Concepts:
    • Need and basics of databases
      • Relational model: Table, Row, Column, Domain
    • Keys: Candidate, Primary, Alternate, Foreign
  • SQL Basics:
    • Data types: char(n), varchar(n), int, float, date
    • DDL: CREATE, USE, SHOW, DROP database/tables
    • DML: Insert, Update, Delete, Select
    • Constraints: NOT NULL, UNIQUE, PRIMARY KEY
Introduction to Python
  • Syntax and Program Structure
  • Operators and Precedence
  • Identifiers, Keywords, Constants, Variables
  • Dictionary:
    • Key-value pair, Initialization
    • Traversing, Updating, Deleting
    • Methods: len(), dict(), keys(), values(), items(), get(), update(), clear(), del()
Data Handling using Pandas
  • Pandas and Matplotlib Libraries
  • Series: Creation (ndarray, dict, scalar), Operations, Head/Tail, Indexing and slicing
  • DataFrames:
    • Creation: Dict of Series, List of dicts, CSV/Text files
    • Operations: Add, Select, Delete, Rename
    • Iteration, Label, and Boolean indexing
SQL Query Functions
  • Math Functions: POWER(), ROUND(), MOD()
  • Text Functions: UCASE(), LCASE(), MID(), SUBSTRING(), LENGTH(), LEFT(), RIGHT(), INSTR(), LTRIM(), RTRIM(), TRIM()
  • Date Functions: NOW(), DATE(), MONTH(), MONTHNAME(), YEAR(), DAY(), DAYNAME()
Introduction to Computer Networks
  • Network Types: LAN, MAN, WAN
  • Devices: Modem, Hub, Switch, Repeater, Router, Gateway
  • Topologies: Star, Bus, Tree, Mesh
  • Internet Concepts: URL, WWW,   Applications: Web, Email, Chat, VoIP
Societal Impacts
  • Digital Ethics and Cyber Laws
  • Cybercrime and Cyber Safety
  • Free & Open Source Software (FOSS)
  • E-Waste: Hazards and Management
  • Health Concerns: Screen time, posture, eye strain
Emerging Trends
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Natural Language Processing (NLP)
  • Augmented Reality (AR), Virtual Reality (VR)
  • Robotics
  • Big Data and its 5Vs
  • Internet of Things (IoT)
  • Smart Cities and Sensors

KVS PGT Computer Science Syllabus PDF

Download the comprehensive KVS PGT Computer Science Syllabus 2026 PDF to gain a clear roadmap for your studies. Utilizing this subject-wise breakdown allows you to prioritize high-yield topics, organize your revision schedule, and ensure a structured, result-oriented preparation strategy.

KVS PGT Computer Science Syllabus 2026
KVS PGT Computer Science Syllabus (General Paper) Click Here
KVS PGT Computer Science Syllabus Click Here

 

KVS PGT Computer Science Syllabus 2026: FAQs

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