Teaching Exams

EMRS PGT Computer Science Vacancy 2026: Apply Online, Selection Process

📅 Updated On 10 October 2026✨ Update By Jyoti Sharma🌐 Hindi & English

EMRS PGT Computer Science Free Mock Test

Crack the EMRS PGT Computer Science Mock Test 2026 with the help of an online Test series or a free mock test. Every sample paper in the EMRS PGT Computer Science Exam has a designated weight, so do not miss out on any paper. Prepare for the EMRS PGT Computer Science mock test and check your test scores.

EMRS PGT Computer Science Syllabus 2026, Exam Pattern

EMRS PGT Computer Science Syllabus 2026, Exam Pattern, Exam Date 2026

Detail Information about EMRS has published notification 2026 for the recruitment of PGT Computer Science vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Recruitment with Latest Update Exam Pattern and the Exam Date also.

EMRS PGT Computer Science Highlights 2026 - Overview

Department Name	Eklavya Model Residential School
Post Name	PGT Computer Science
Total Posts	Notified Soon
Application Mode	Online
Selection Process	Tier -I : Preliminary (Qualifying) Examination Tier -II : Subject Knowledge Examination
Location	All Over India
Category	Syllabus and Exam Pattern
Official Website	https://recruitment.nta.nic.in

EMRS PGT Computer Science Syllabus 2026

General Knowledge & Current affairs :

1. General Politics
2. Culture
3. Indian Constitution
4. Books
5. Current events
6. Economic
7. Geography
8. History
9. Sports and Games
10. Awards and Honors

Reasoning Ability :

1. Puzzles & Seating arrangement
2. Data sufficiency
3. Statement based questions (Verbal. reasoning)
4. Inequality, Blood relations
5. Sequences and Series
6. Direction Test
7. Assertion and Reason
8. Venn Diagrams

Knowledge of ICT :

1. Fundamentals of Computer System
2. Basics of Operating System
3. MS Office
4. Keyboard
5. Shortcuts and their uses
6. Important Computer Terms and Abbreviations
7. Computer Networks
8. Cyber Security, and Internet

Teaching Aptitude :

1. Teaching-Nature
2. Characteristics
3. Objectives and Basic requirements
4. Learner's characteristics
5. Factors affecting teaching
6. Methods of Teaching
7. Teaching Aids and Evaluation Systems

Language Competency :

(a) General English :

1. Verb
2. Tenses
3. Voice
4. Subject-Verb Agreement
5. Articles
6. Comprehension
7. Fill in the Blanks
8. Adverb
9. Error Correction
10. Sentence Rearrangement
11. Unseen Passages
12. Vocabulary
13. Antonyms/Synonyms
14. Grammar
15. Idioms & Phrases

(b) General Hindi

1. संधि
2. समास
3. विलोम शब्द
4. पर्यायवाची शब्द
5. सामान्य अमुद्धियाँ
6. वाक्यांशों के लिए एक शब्द
7. मुहावरे लोकोक्तिया
8. अपठित गद्यांश पर आधारित प्रश्न |

Domin Knowledge :-

(a) Experiential activity-based pedagogy and case study based questions

(b)National Education Policy (NEP)- 2020

Key Principles and Vision:-

Fundamental Pillars: Understand the five foundational pillars of NEP 2020: Access, Equity, Quality, Affordability, and Accountability.

Holistic Development: The goal of developing students who possess critical thinking, creativity, ethical values, and empathy, moving away from rote learning.

Multidisciplinarity: The breakdown of rigid subject silos between arts and sciences, and curricular and extracurricular activities.

Structural and Curricular Reforms:-

New Schooling Structure: Know the details of the 5+3+3+4 curricular structure, replacing the old 10+2 system.

Foundational Stage (Ages 3-8): Focus on Early Childhood Care and Education (ECCE), and play-based, activity-based learning.
Preparatory Stage (Ages 8-11): Introduction of subjects and formal classroom teaching.
Middle Stage (Ages 11-14): Introduction of more abstract concepts in science, math, social sciences, arts, and humanities.
Secondary Stage (Ages 14-18): Focus on multidisciplinary study, critical thinking, and flexibility in subject choice.

Foundational Literacy and Numeracy (FLN): The policy's high priority on achieving universal FLN by Grade 3. Be aware of the National Mission on Foundational Literacy and Numeracy (NIPUN Bharat).

Vocational Education: Integration of vocational education from Grade 6 onwards, including internships.

Teacher Education and Professional Development:-

Teacher Recruitment and Standards: The policy's vision for a robust, merit-based teacher recruitment process. Be familiar with the proposed National Professional Standards for Teachers (NPST).

Teacher Training: The new 4-year integrated B.Ed. as a minimum degree for teaching by 2030. The importance of continuous professional development (CPD) for teachers.

National Mission for Mentoring (NMM): The establishment of a large pool of mentors to support teachers.

Assessment and Technology:-

Assessment Reforms: A shift from summative, rote-based exams to regular, formative, and competency-based assessments.

PARAKH (Performance Assessment, Review, and Analysis of Knowledge for Holistic Development): The establishment of this national assessment center to set norms, standards, and guidelines.

Holistic Progress Card: The new report card system designed to provide a comprehensive view of a student's development.

Technology Integration: The creation of the National Educational Technology Forum (NETF) to promote the use of technology in education, including digital resources and virtual labs.

Subject Knowledge Test (Computer Science) :

Computer Systems and Organisation :

▪ Basic Computer Organisation: Introduction to computer system, hardware, software, input device, output device, CPU, memory (primary, cache and secondary), units of memory (Bit, Byte, KB, MB, GB, TB, PB)
▪ Types of software: system software (operating systems, system utilities, device drivers), programming tools and language translators (assembler, compiler & interpreter), application software
▪ Operating system (OS): functions of operating system, OS user interface
▪ Boolean logic: NOT, AND, OR, NAND, NOR, XOR, truth table, De Morgan’s laws and
logic
circuits
▪ Number system: Binary, Octal, Decimal and Hexadecimal number system; conversion betweennumber systems.
▪ Encoding schemes: ASCII, ISCII and UNICODE (UTF8, UTF32)

Computational Thinking and Programming :

▪ Introduction to problem solving: Steps for problem solving (analysing the problem, developing an algorithm, coding, testing and debugging). representation of algorithms using flow chart and pseudo code, decomposition
▪ Familiarization with the basics of Python programming: Introduction to Python, features of Python, executing a simple "hello world" program, execution modes: interactive mode and script mode, Python character set, Python tokens (keyword, identifier, literal, operator, punctuator), variables, concept of l-value and r-value, use of comments
▪ Knowledge of data types: number (integer, floating point, complex), boolean, sequence (string,list, tuple), none, mapping (dictionary), mutable and immutable data types
▪ Operators: arithmetic operators, relational operators, logical operators, assignment operator, augmented assignment operators, identity operators (is, is not), membership operators (in, notin)
▪ Expressions, statement, type conversion & input/output: precedence of operators, expression,evaluation of expression, python statement, type conversion (explicit & implicit conversion), accepting data as input from the console and displaying output
▪ Errors: syntax errors, logical errors, runtime errors
▪ Flow of control: introduction, use of indentation, sequential flow, conditional and iterative flow control
▪ Conditional statements: if, if-else, if-elif-else, flowcharts, simple programs: e.g.: absolute value,sort 3 numbers and divisibility of a number
▪ Iterative statements: for loop, range function, while loop, flowcharts, break and continue statements, nested loops, suggested programs: generating pattern, summation of series, finding the factorial of a positive number etc
▪ Strings: introduction, indexing, string operations (concatenation, repetition, membership & slicing), traversing a string using loops, built-in functions: len(), capitalize(), title(),
lower(), upper(), count(), find(), index(), endswith(), startswith(), isalnum(), isalpha(), isdigit(), islower(), isupper(), isspace(), lstrip(), rstrip(), strip(), replace(), join(),
partition(), split()
▪ Lists: introduction, indexing, list operations (concatenation, repetition, membership & slicing),traversing a list using loops, built-in functions: len(), list(), append(), extend(), insert(), count(),index(), remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum(); nested lists, suggested programs: finding the maximum, minimum, mean of numeric values stored in a list; linearsearch on list of numbers and counting the frequency of elements in a list
▪ Tuples: introduction, indexing, tuple operations (concatenation, repetition, membership & slicing), built-in functions: len(), tuple(), count(), index(), sorted(), min(), max(), sum(); tuple assignment, nested tuple, suggested programs: finding the minimum, maximum, mean ofvalues stored in a tuple; linear search on a tuple of numbers, counting the frequency of elements in a tuple
▪ Dictionary: introduction, accessing items in a dictionary using keys, mutability of dictionary (adding a new item, modifying an existing item), traversing a dictionary,
built-in functions: len(), dict(), keys(), values(), items(), get(), update(), del(), clear(), fromkeys(), copy(), pop(), popitem(), setdefault(), max(), min(), count(), sorted(), copy(); suggested programs : count thenumber of times a character appears in a given string using a dictionary, create a dictionary with names of employees, their salary and access them
▪ Introduction to Python modules: Importing module using 'import ' and using from statement, Importing math module (pi, e, sqrt, ceil, floor, pow, fabs, sin, cos, tan); random module (random, randint, randrange), statistics module (mean, median,mode)

Society, Law and Ethics :

▪ Digital Footprints
▪ Digital society and Netizen: net etiquettes, communication etiquettes, social media etiquettes
▪ Data protection: Intellectual Property Right (copyright, patent, trademark), violation of IPR (plagiarism, copyright infringement, trademark infringement), open source softwares and licensing (Creative Commons, GPL and Apache)
▪ Cyber-crime: definition, hacking, eavesdropping, phishing and fraud emails, ransomware, preventing cyber crime
▪ Cyber safety: safely browsing the web, identity protection, confidentiality, cyber trolls and bullying.
▪ Safely accessing web sites: malware, viruses, trojans, adware
▪ E-waste management: proper disposal of used electronic gadgets
▪ Indian Information Technology Act (IT Act)
▪ Technology & Society: Gender and disability issues while teaching and using computers

Computational Thinking and Programming – 2 :

▪ Functions: types of function (built-in functions, functions defined in module, user defined functions), creating user defined function, arguments and parameters, default parameters, positional parameters, function returning value(s), flow of execution, scope of a variable(global scope, local scope)
▪ Introduction to files, types of files (Text file, Binary file, CSV file), relative and absolute paths
▪ Text file: opening a text file, text file open modes (r, r+, w, w+, a, a+), closing a text file, opening a file using with clause, writing/appending data to a text file using write() and writelines(), reading from a text file using read(), readline() and readlines(), seek and tell methods, manipulation of data in a text file
▪ Binary file: basic operations on a binary file: open using file open modes (rb, rb+, wb, wb+, ab,ab+), close a binary file, import pickle module, dump() and load() method, read, write/create, search, append and update operations in a binary file
▪ CSV file: import csv module, open / close csv file, write into a csv file using csv.writerow() and read from a csv file using csv.reader( )

Computer Networks :

▪ Evolution of networking: introduction to computer networks, evolution of networking (ARPANET, NSFNET, INTERNET)
▪ Data communication terminologies: concept of communication, components of data communication (sender, receiver, message, communication media, protocols), measuring capacity of communication media (bandwidth, data transfer rate), IP address, switching techniques (Circuit switching, Packet switching)
▪ Transmission media: Wired communication media (Twisted pair cable, Co-axial cable, Fiber- optic cable), Wireless media (Radio waves, Micro waves, Infrared waves)
▪ Network devices (Modem, Ethernet card, RJ45, Repeater, Hub, Switch, Router, Gateway, WIFI card).
▪ Network topologies and Network types: types of networks (PAN, LAN, MAN, WAN), networking topologies (Bus, Star, Tree)
▪ Network protocol: HTTP, FTP, PPP, SMTP, TCP/IP, POP3, HTTPS, TELNET, VoIP, wireless/mobile communication protocol such as GSM, GPRS and WLL
▪ Introduction to web services: WWW, Hyper Text Markup Language (HTML), Extensible Markup Language (XML), domain names, URL, website, web browser, web servers, web hosting.

Database Management :

▪ Database concepts: introduction to database concepts and its need
▪ Relational data model: relation, attribute, tuple, domain, degree, cardinality, keys (candidate key, primary key, alternate key, foreign key)
▪ Structured Query Language: introduction, Data Definition Language and Data Manipulation Language, data type (char(n), varchar(n), int, float, date), constraints (not null, unique, primary key), create database, use database, show databases, drop database, show tables, create table, describe table, alter table (add and remove an attribute, add and remove primarykey), drop table, insert, delete, select, operators (mathematical, relational and logical), aliasing, distinct clause, where clause, in, between, order by, meaning of null, is null, is not null, like, update command, delete command, aggregate functions (max, min, avg, sum, count), groupby, having clause, joins: cartesian product on two tables, equi-join and natural join
▪ Interface of python with an SQL database: connecting SQL with Python, performing insert, update, delete queries using cursor, display data by using fetchone(), fetchall(), rowcount, creating database connectivity applications.

Introduction to Computer System :

▪ Introduction to computers and computing: evolution of computing devices, components of acomputer system and their interconnections, Input/Output devices.
▪ Computer Memory: Units of memory, types of memory – primary and secondary, data deletion, its recovery and related security concerns. Software: purpose and types – system andapplication software, generic and specific purpose software.

Introduction to Python :

▪ Basics of Python programming, Python interpreter - interactive and script mode, the structureof a program, indentation, identifiers, keywords, constants, variables, types of operators,precedence of operators, data types, mutable and immutable data types, statements, expressions, evaluation of expressions, comments, input and output
statements, data type conversion, debugging, control statements: if-else, for loop Lists: list operations - creating, initializing, traversing and manipulating lists, list methods and built-in functions.: len(), list(), append(), extend(), insert(), count(), find(), remove(), pop(), reverse(), sort(), sorted(), min(), max(), sum()
▪ Dictionary: concept of key-value pair, creating, initializing, traversing, updating and deleting elements, dictionary methods and built-in functions: len(), dict(), keys(), values(), items(), get(),update(), clear(), del()

Database concepts and the Structured Query Language :

▪ Database Concepts: Introduction to database concepts and its need, Database Management System. Relational data model: concept of attribute, domain, tuple, relation, candidate key, primary key, alternate key, foreign key.
▪ Advantages of using Structured Query Language, Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL, creating a database using MySQL, Data Types
▪ Definition Commands: CREATE TABLE
▪ Data Query Commands: SELECT-FROM- WHERE
▪ Data Manipulation Commands: INSERT

Emerging Trends :

Artificial Intelligence, Machine Learning, Natural Language Processing, Immersive experience (AR, VR), Robotics, Big data and its characteristics, Internet of Things (IoT), Sensors, Smart cities, Cloud Computing and Cloud Services (SaaS, IaaS, PaaS); Grid Computing, Block chain technology.

Data Handling using Pandas :

▪ Introduction to Python libraries- Pandas, Matplotlib.
▪ Data structures in Pandas - Series and Data Frames.
▪ Series: Creation of Series from – ndarray, dictionary, scalar value; mathematical operations; Head and Tail functions; Selection, Indexing and Slicing.
▪ Data Frames: creation - from dictionary of Series, list of dictionaries, Text/CSV files; display; iteration; Operations on rows and columns: add, select, delete, rename; Head and Tail functions; Indexing using Labels, Boolean Indexing;
▪ Importing/Exporting Data between CSV files and Data Frames.
▪ Data Visualization Purpose of plotting; drawing and saving following types of plots using Matplotlib – line plot, bar graph, histogram Customizing plots: adding label, title, and legendin plots.

Database Query using SQL :

▪ Math functions: POWER (), ROUND (), MOD ().
▪ Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING
()/SUBSTR (),LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM().
▪ Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY(),DAYNAME ().
▪ Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).
▪ Querying and manipulating data using Group by, Having, Order by.

Introduction to Computer Networks :

▪ Introduction to networks, Types of network: LAN, MAN, WAN.
▪ Network Devices: modem, hub, switch, repeater, router, gateway
▪ Network Topologies: Star, Bus, Tree, Mesh.
▪ Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP.
▪ Website: Introduction, difference between a website and webpage, static vs dynamic webpage, web server and hosting of a website.
▪ Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-ins, cookies.

Societal Impacts :

▪ Digital footprint, net and communication etiquettes, data protection, intellectual property rights (IPR), plagiarism, licensing and copyright, free and open-source software (FOSS), cybercrime and cyber laws, hacking, phishing, cyber bullying, overview of Indian IT Act.
▪ E-waste: hazards and management.
▪ Awareness about health concerns related to the usage of technology

EMRS PGT Computer Science Exam Pattern 2026

Tier -I -Preliminary (Qualifying) Examination in OMR (Objective)

Duration : 150 Minutes

Negative Marking : 0.33

S.No	Subject	No.of Question	Marks
Part I	General Awareness	10	10
Part II	Reasoning Ability	15	15
Part III	Knowledge of ICT	15	15
Part IV	Teaching Aptitude	30	30
Part V	Domain Knowledge: a) Experiential activity-based pedagogy and case study-based questions. (20 Question) b) NEP-2020 (10 Question)	30 [20+10]	30
	Total	100	100
Part VI	Language Competency Test (General Hindi, General English-10 mark each subject).	20	20

Tier -II (Only for Candidates who will be shortlisted in the ratio of 1:10 against the notified vacancies
on the basis of Tier I Preliminary examination)- Subject Knowledge Examination

Negative Marking : 0.33

Component of the test	Number of questions		Total marks		Duration of the test
Component of the test	Objective	Descriptive	Objective	Descriptive
Subject Knowledge Test	40	15	40	60	3 Hours
Total	55		100		3 Hours

Preparation of merit list: Merit list for the post of Hostel Warden will be prepared on the basis of performance in the Tier II examination only.

Exam Date : Update Soon

Starting Date of Application Form : Notified Soon

Last Date of Application Form : Notified Soon

Click For More Information

EMRS PGT Computer Science Exam Free Online Test Series

Crack EMRS PGT Computer Science Mock Test 2026 with the help of Online Test Series or Free Mock Test. Every Sample Paper in EMRS Exam has a designated weightage so do not miss out any Paper. Practice for EMRS PGT Computer Science Mock Test exam and check your test scores.

EMRS PGT Computer Science Tier 1 Preliminary Exam - Hindi120 questions • 150 mins • 120 marks

Free Test →

EMRS PGT Computer Science Tier 1 Preliminary Exam - English120 questions • 150 mins • 120 marks

Free Test →

EMRS PGT Computer Science Tier 2 Exam - Hindi40 questions • 60 mins • 40 marks

Free Test →

EMRS PGT Computer Science Tier 2 Exam - English40 questions • 60 mins • 40 marks

Free Test →

Test Packages Click Here →

EMRS PGT Computer Science Exam Free Online Question Bank

EMRS PGT Computer Science question answer with solutions are available in Hindi & English. Join MCQ, Important Questions, Question Bank, questions and answers for Free EMRS PGT Computer Science exam preparation.

EMRS PGT Computer Science Tier 1 Preliminary Exam - Hindi120 questions • 150 mins • 120 marks

Free Questions →

EMRS PGT Computer Science Tier 1 Preliminary Exam - English120 questions • 150 mins • 120 marks

Free Questions →

EMRS PGT Computer Science Tier 2 Exam - Hindi40 questions • 60 mins • 40 marks

Free Questions →

EMRS PGT Computer Science Tier 2 Exam - English40 questions • 60 mins • 40 marks

Free Questions →

Combo Offers

EMRS PGT Computer Science Combo Packages

We Launches Combo Offers ! with Heavy Discount and Cost Saving Prices. Combo Packages includes - Online Mock Test Series + Important Questions or MCQs + Previous Year Papers with Answer.

Combo Package