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

Master the HPSC PGT Computer Science Syllabus 2026 with our detailed guide. Download the official PDF, review the updated exam pattern, and refine your strategy for the Screening Test, Subject Knowledge Test, and final Interview to ensure success.

HPSC PGT Computer Science Syllabus 2026

The HPSC PGT Computer Science Syllabus 2026 is the essential roadmap for your preparation. By thoroughly analyzing the curriculum, aspirants can prioritize high-yield topics such as Python Programming, Data Structures, Operating Systems, and Computer Networks. Aligning your study schedule with the official Haryana Public Service Commission guidelines helps eliminate irrelevant study materials and maximizes efficiency. A deep grasp of the syllabus not only improves your conceptual clarity but also builds the confidence needed to excel in the HPSC PGT Computer Science examination.

HPSC PGT Computer Science Exam Pattern 2026

The HPSC PGT Computer Science Exam 2026 follows a rigorous three-stage selection process: the Screening Test, the Subject Knowledge Test, and the Interview. The initial Screening Test consists of 100 objective-type questions covering computer science fundamentals, reasoning, and pedagogy; it is strictly qualifying in nature. Successful candidates proceed to the Subject Knowledge Test, a 150-mark descriptive exam held over 3 hours, which accounts for 87.5% of the final merit. The remaining 12.5% is derived from the Interview, making the final selection a cumulative result of both the written knowledge test and the panel assessment.

HPSC PGT Computer Science Exam Pattern 2026
Haryana HPSC PGT Exam Pattern	Total Marks/Questions	Weightage	Exam Type	Minimum Qualifying Marks
Screening Test	100	–	Objective	25%
Subject Knowledge Test	150	87.5%	Descriptive	35%
Interview	–	12.5%	–	–

HPSC PGT Computer Science 2026 Syllabus Detailed

Designed for prospective PGT educators, the HPSC PGT Computer Science Syllabus 2026 encompasses a vast array of technical and pedagogical topics. Key subjects include Python Programming, Data Structures, Database Management Systems (DBMS), Software Engineering, Digital Logic, Compiler Design, and Theory of Computation. Furthermore, the syllabus addresses modern requirements like Cyber Safety, Emerging Trends in IT, and effective classroom teaching methodologies. This comprehensive structure ensures that candidates are not only ready for the competitive exam but are also well-equipped to meet the professional demands of high school teaching.

HPSC PGT Computer Science Syllabus 2026
Unit	Desciption
Computer Systems and Organisation	Basics of computer organisation: input/output devices, memory, motherboard, CPU. Number systems: binary, octal, hexadecimal, and their conversions. Boolean algebra and logic gates: AND, OR, NOT, NAND, NOR, XOR, XNOR. Types of software: system, application, utility, open-source and proprietary. Memory types: RAM, ROM, cache, secondary storage (HDD, SSD). Types of computers: micro, mini, mainframe, and supercomputers.
Computational Thinking and Programming (with Python)	Problem-solving and algorithmic thinking. Introduction to Python: syntax, variables, data types. Control structures: if-else, loops (for, while). Functions and recursion. Lists, tuples, dictionaries, sets in Python. String operations. File handling in Python. Error handling: try, except blocks. Data structures using Python: stack, queue, linked lists (basic operations).
Society, Law, and Ethics	Cyber safety: secure password practices, identity protection, cyberbullying. Cybersecurity concepts: phishing, malware, firewalls. Intellectual Property Rights (IPR), copyright, and licenses. Digital footprint and digital rights. Plagiarism and its implications. IT Act 2000 and its provisions.
Computer Networks	Introduction to computer networks and their need. Network types: LAN, MAN, WAN. Network topologies: bus, star, ring, mesh. Protocols: HTTP, TCP/IP, FTP. Wi-Fi, Bluetooth, cellular networks. Basics of transmission media: wired (twisted pair, coaxial, fiber) and wireless. IP address, DNS, and MAC address. Network security basics: firewalls, encryption, secure communication.
Database Management Systems (DBMS)	Introduction to DBMS and RDBMS. Concepts: tables, records, fields, primary key, foreign key. SQL: SELECT, INSERT, UPDATE, DELETE, JOIN, GROUP BY, ORDER BY. Basic and advanced SQL functions. Normalization: 1NF, 2NF, 3NF. Transactions and concurrency control. Database security and integrity.
Data Structures and Algorithms	Arrays, linked lists, stacks, queues. Trees: binary trees, BST. Graphs: representation and traversal (BFS, DFS). Sorting algorithms: bubble, selection, insertion, merge, quick. Searching: linear and binary search. Time and space complexity: Big-O notation.
Operating Systems	Basic functions and types of operating systems. Process management and scheduling. Memory management: paging, segmentation. File systems and directories. Deadlock and its prevention. User and kernel modes.
Software Engineering	Software Development Life Cycle (SDLC). Models: Waterfall, Agile, Spiral. Requirements analysis, design, coding, testing, maintenance. CASE tools. Software quality and metrics. Risk analysis and project management basics.
Digital Logic and Circuits	Logic gates and their truth tables. Combinational circuits: adders, subtractors, multiplexers, demultiplexers, encoders, decoders. Sequential circuits: flip-flops, counters, registers. Binary arithmetic: addition, subtraction, multiplication, division. Number system conversions. Boolean algebra simplification using Karnaugh Maps (K-Map).
Theory of Computation	Automata theory: finite automata, DFA, NFA. Regular expressions and languages. Context-free grammar and pushdown automata. Turing machines. Decidability and computability.
Compiler Design	Phases of compiler: lexical analysis, syntax analysis, semantic analysis, optimization, code generation. Lexical analyzer and regular expressions. Parsing techniques: LL, LR parsers. Syntax-directed translation. Intermediate code generation. Symbol tables and error handling.
Emerging Trends in IT	Artificial Intelligence and Machine Learning basics. Internet of Things (IoT) applications. Blockchain fundamentals. Cloud Computing: types of cloud, services (IaaS, PaaS, SaaS). Virtual Reality and Augmented Reality. Big Data and Data Analytics.
Educational Psychology and Pedagogy (for Teaching Aptitude)	Child development, inclusive education. Learning theories: behaviorism, constructivism, cognitivism. Motivation and classroom management. Assessment and evaluation techniques. ICT in teaching and learning. Teaching strategies and methodologies.

HPSC PGT Computer Science Syllabus 2026 PDF

Download the official HPSC PGT Computer Science Syllabus 2026 PDF below. We recommend using this document as a primary checklist to monitor your progress and ensure every critical topic is thoroughly covered before the exam date.

HPSC PGT Computer Science Syllabus 2026 PDF
HPSC PGT Syllabus 2026 General Paper	Click Here to Download
HPSC PGT Computer Science Syllabus 2026	Click Here to Download

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