Bihar tre 4.0 computer science syllabus (PGT)

By / Updated on February 21, 2026
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Comprehensive Syllabus for Bihar BPSC TRE 4.0 Computer Science PGT (Class 11-12)

The Bihar Public Service Commission (BPSC) Teacher Recruitment Exam (TRE) 4.0 for Post Graduate Teachers (PGT) in Computer Science is a highly competitive examination. Securing a position requires not just a superficial understanding of the subjects, but a deep, conceptual grasp of core computer science principles. This extensive guide provides a meticulous breakdown of the syllabus, exam pattern, and strategic insights necessary to master the BPSC TRE 4.0 Computer Science examination.

1. BPSC TRE 4.0 Exam Pattern Overview

Understanding the structural framework of the examination is the first critical step. The BPSC PGT exam is typically conducted as a single comprehensive paper divided into three distinct parts. Candidates are required to answer a total of 150 questions within a timeframe of 2.5 hours (150 minutes). A thorough understanding of this distribution is essential for effective time management during the actual examination.

Part Section Questions Description & Weightage
Part I Language (Qualifying) 30 English (8 Qs) + Hindi/Urdu/Bengali (22 Qs). Minimum 30% marks required.
Part II General Studies 40 Mathematics, General Science, Current Affairs, Geography, Indian National Movement.
Part III Computer Science 80 Core subject knowledge based on Graduation and Post-Graduation standards.

2. Bihar tre 4.0 computer science syllabus : Part I & Part II (General Sections)

Part I: Language (Qualifying)

This section tests basic linguistic comprehension and grammar. It is strictly qualifying in nature, meaning these marks will not be added to the final merit list, but failing this section disqualifies the candidate entirely.

  • English Language: Articles, Prepositions, Tense usage, Synonyms, Antonyms, Error Detection, Fill in the blanks, and basic unseen passages.
  • Regional Language (Hindi/Urdu/Bengali): Grammar fundamentals, Noun, Pronoun, Adjective, Verb, Sandhi, Samas, Idioms, Proverbs, and Vocabulary evaluation.

General Studies

Subject Key Concepts & Syllabus Details
Elementary Mathematics Number Systems, Percentages, Profit and Loss, Ratio and Proportion, Time and Work, Time and Distance, Simple and Compound Interest, Basic Algebra, and 2D/3D Mensuration.
General Science Fundamental concepts of Physics, Chemistry, and Biology applicable to daily life observations. Focus on NCERT level concepts up to class 10.
Current Affairs Major national and international events from the past 8 to 10 months. Special emphasis on developments related to Bihar, government schemes, sports, and major appointments.
Indian National Movement Historical timeline from the Revolt of 1857 to Independence in 1947. Role of significant leaders, the Gandhian Era, important sessions of the Indian National Congress, and Bihar’s specific contributions.
Geography Physical geography of India (rivers, mountain ranges, soil types, climate), basic environmental science, and ecology.

Bihar tre 4.0 computer science syllabus : Part III – Computer Science

Unit & Title Core Focus Detailed Sub-Topics & Concepts
3.1. Computer Systems and Architecture Focuses on the fundamental hardware building blocks and the internal operational mechanics of computing systems.  

  • Digital Logic & Boolean Algebra: Number systems and conversions, 1’s/2’s complements, logic gates, De Morgan’s laws, K-Maps (up to 4 variables).
  • Combinational & Sequential Circuits: Half/Full Adders, Subtractors, MUX, DEMUX, Encoders, Decoders, Flip-Flops (SR, D, JK, T), Shift Registers, Counters.
  • Basic Computer Organization: CPU organization, ALU design, Control Unit operations (hardwired vs. micro-programmed), Instruction formats, Addressing Modes.
  • Memory Organization: Memory hierarchy, RAM, ROM, Cache memory concepts and mapping, Virtual memory (paging/segmentation), Secondary storage.
3.2. Operating Systems (OS) The OS acts as the critical intermediary between user applications and computer hardware.
  • OS Fundamentals: Evolution, OS types (Batch, Time-sharing, RTOS, etc.), System calls.
  • Process Management: PCB, state transitions, CPU Scheduling Algorithms (FCFS, SJF, Priority, Round Robin).
  • Concurrency & Synchronization: Threads, IPC, Critical section, Semaphores, classical sync problems.
  • Deadlocks: Necessary conditions, Prevention, Avoidance (Banker’s Algorithm), Detection, Recovery.
  • Memory Management: Contiguous allocation, Paging architecture, Page replacement (FIFO, Optimal, LRU), Thrashing.
  • File & I/O Management: File attributes/methods, Directory structures, Disk scheduling (FCFS, SSTF, SCAN, C-SCAN, LOOK).
3.3. Programming Fundamentals Proficiency in programming paradigms with a strong modern emphasis on Python and Object-Oriented principles.
  • Procedural Programming (C): Data types, control flow, functions, arrays, pointers, strings, structures, and unions.
  • Object-Oriented Programming (C++/Java): Encapsulation, Abstraction, Inheritance, Polymorphism, Constructors/Destructors, Exception handling.
  • Python Programming (High Priority): Syntax, Mutable/Immutable types, Lists, Tuples, Dictionaries, Sets. Functions, File handling, Basics of Pandas and NumPy.
3.4. Data Structures and Algorithms (DSA) Foundation of efficient software design. Expect theoretical questions and algorithmic output tracing.
  • Linear Data Structures: Arrays (row/column major), Stacks (LIFO, prefix/postfix), Queues (FIFO, circular, priority, deque), Linked Lists (Singly, Doubly, Circular).
  • Non-Linear Data Structures:[Image of Binary Search Tree structure]Trees (BST, AVL, B-Trees, Traversals), Graphs (Adjacency Matrix/List, BFS, DFS, Minimum Spanning Tree basics).
  • Algorithms & Complexity: Asymptotic notations, Time/Space complexity, Searching (Linear, Binary), Sorting algorithms (Bubble, Selection, Insertion, Merge, Quick).
3.5. Database Management Systems (DBMS) Deep understanding of data storage, retrieval, and relational algebra.
  • DBMS Architecture: Three-Schema Architecture, Data independence.
  • E-R Modeling & Relational Model: Entities, Attributes, Keys (Super, Candidate, Primary, Foreign), Integrity constraints.
  • Relational Algebra: Selection, Projection, Joins, Union, Cartesian Product.
  • Database Normalization: Anomalies, Functional Dependencies, 1NF, 2NF, 3NF, BCNF.
  • SQL: DDL, DML, DQL, Aggregate functions, GROUP BY, Nested subqueries.
  • Transaction Processing: ACID properties, Serializability, Concurrency control techniques.
3.6. Computer Networks Covers the protocols and architectures that enable digital communication. [Image of OSI Model 7 Layers]

  • Fundamentals & Topologies: Analog/Digital, Multiplexing, Transmission media, LAN/WAN, Topologies (Bus, Star, Ring, Mesh).
  • Reference Models & Devices: OSI 7 Layers, TCP/IP Suite, Hubs, Switches, Routers, Gateways.
  • Protocols & IP Addressing: IPv4/IPv6, Classes, Subnetting, TCP, UDP, HTTP, FTP, SMTP, DNS.
  • Network Security: Cryptography, Firewalls, IDS, Malware, Network attacks (DoS, Phishing).
3.7. Software Engineering Understanding the systematic approach to developing and maintaining software. [Image of Software Development Life Cycle phases]

  • SDLC: Phases, Process models (Waterfall, Spiral, Agile/Scrum).
  • Engineering & Design: Feasibility, SRS, Cohesion and Coupling, DFDs.
  • Software Testing: Verification/Validation, Black-box vs White-box, Levels of testing (Unit, Integration, System, Acceptance).
3.8. Web Technologies The structural and stylistic components of web development.
  • HTML/HTML5: Document structure, tags, lists, tables, forms, semantic tags.
  • CSS: Inline/Internal/External, Selectors, Box Model, Positioning.
  • JavaScript & XML: Client-side scripting, DOM manipulation, Form validation, XML syntax, DTD, JSON overview.
3.9. Emerging Trends Modern recruitment exams increasingly incorporate questions on current technological advancements.
  • AI & Machine Learning: AI vs ML vs Deep Learning, Turing test, NLP overview.
  • Cloud Computing: Service models (IaaS, PaaS, SaaS), Deployment models (Public, Private, Hybrid).
  • Internet of Things (IoT): Architecture, sensors, actuators, smart applications.
  • Blockchain & Big Data: Decentralized ledgers, Cryptography basics, 5 V’s of Big Data, Hadoop ecosystem.

 

Strategic Preparation Blueprint for BPSC TRE 4.0
Foundation First (NCERT) The backbone of the examination is derived from the SCERT/NCERT curriculum. Thoroughly study the Class 11 and 12 textbooks for Computer Science and Informatics Practices. Pay special attention to the Python programming syntax and SQL query chapters, as direct output-based questions are frequently sourced from these texts.
Focus on High-Yield Areas Prioritize subjects that carry immense weightage and have objective, calculable answers. Data Structures (traversals, complexities), Operating Systems (scheduling algorithms, page replacements), and Digital Logic (K-maps, gate outputs) are critical scoring areas.
Previous Year Papers & Mock Analysis Analyze the question papers from BPSC TRE 1.0, 2.0, and 3.0. This will decode the exact difficulty level set by the commission. Incorporate daily mock tests to improve your time management, ensuring you can comfortably process 150 questions within the strict 150-minute limit.

BPSC TRE 3.0 Official Eligibility Criteria: PGT Computer Science (Class 11-12)

As per the official notification released by the Bihar Public Service Commission (BPSC) for TRE 3.0, candidates applying for the Post Graduate Teacher (PGT) position in Computer Science must fulfill specific educational and certification requirements. Below is the detailed breakdown of the mandatory qualifications.

Mandatory Requirement Official Details
Teacher Eligibility Test Must have qualified Bihar STET Paper-II in Computer Science.
B.Ed. Degree Exemption B.Ed. degree is NOT mandatory for the post of Computer Science Teacher (Class 11-12).

Educational Qualifications

Candidates must possess a minimum of 50% marks in aggregate in any of the following degree combinations from a recognized University or Institution:

Option Approved Degree / Qualification Combination
1 B.E. or B.Tech (Computer Science / IT) from a recognized University OR equivalent Degree or Diploma from an Institution/University recognized by the Govt. of India.
2 B.E. or B.Tech (Any Stream) from a recognized University AND a Post Graduate Diploma in Computers.
3 M.Sc. (Computer Science) / MCA or Equivalent from a recognized University.
4 B.Sc. (Computer Science) / BCA or Equivalent AND a Post Graduate Degree in any subject.
5 Post Graduate Diploma in Computer AND a Post Graduate Degree in any subject.
6 ‘B’ Level from DOEACC AND a Post Graduate Degree in any subject.
7 ‘C’ Level from ‘DOEACC’ (Ministry of Information and Communication Technology) AND Graduation.
8 MCA (3 Years Course) / Master of Computer Application (MCA) with at least 6 Semesters.

Important Note on Degree Equivalence: In case of any dispute regarding the equivalence of a degree/diploma, the decision of the department, in consultation with the recognized technical education bodies (like AICTE), will be final.

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manish Kumar

Manish Kumar is a senior government job and examination news editor with over 7 years of experience. He regularly monitors official portals such as SSC, UPSC, Railway Recruitment Boards, NTA, and various State Staff Selection Commissions to ensure every update published on Fastjobsearcher.com is accurate, timely, and sourced from official notifications, PDFs, and press releases. His work focuses on helping students and job seekers get correct information without confusion, rumors, or fake updates.

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