CUET Computer Science Syllabus 2026: Important Topics, Books & Preparation Tips

Features

Details

Exam Conducting Authority

National Testing Agency (NTA)

Mode of Examination

Computer-Based Test (CBT)

Frequency of the examination

Once a Year

Syllabus Download Website

Yet to be released

Medium of the examination

13 languages: English, Hindi, Assamese, Bengali, Gujarati, Kannada, Malayalam, Marathi, Odia, Punjabi, Tamil, Telugu, and Urdu

Type of Questions

Multiple Choice Questions (MCQs)

Total Questions

50 (all compulsory)

Exam Duration

60 minutes

Total Marks per Subject

250

Marking Scheme

+5 for each correct answer; -1 for each incorrect answer

Mapping for Courses

BSc Computer Science, BCA

Unit

Topic

Database Concepts

1. Introduction to database concepts, difference between database and file system, relational data model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, foreign key.

2. Relational algebra: selection, projection, union, set difference and cartesian product.

Structured Query Language - I

1. Advantages of using Structured Query Language, Data Definition Language, Data Query Language and Data Manipulation Language, Introduction to MySQL, Creating a database using MySQL, DataTypes

2. Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE,Data Query: SELECT, FROM, WHERE

3. Data Manipulation: INSERT, UPDATE, DELETEMath functions: POWER (), ROUND (), MOD ().Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (),LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().

Structured Query Language - II

1. Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().

2. Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT(*). Querying and manipulating data using Group by, Having, Order by.

3. Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN

Computer Networks

1. Introduction to computer networks, Evolution of networking,

2. Network types: LAN, WAN, MAN

3. Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway.Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies.

4. Basic concept of MACand IP Address Difference between Internet and web.

Unit

Topics

Exception and File Handling in Python

1. Exception Handling: syntax errors, exceptions, need of exception handling, user-defined exceptions, raising exceptions, handling exceptions, catching exceptions, Try - except - else clause, Try - finally clause, recovering and continuing with finally, built-in exception classes.

2. File Handling: text file and binary file, file types, open and close files, reading and writing text files, reading and writing binary files using pickle module, file access modes.

Stack

Stack (List Implementation): Introduction to stack (LIFO Operations), operations on stack (PUSH and POP) and its implementation in python. Expressions in Prefix, Infix and postfix notations, evaluating arithmetic expressions using stack, conversion of Infix expression to postfix expression

Queue

1. Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and DELETE) and its implementation in Python.

2. Introduction to DQueue and its implementation in Python.

Searching

Searching: Sequential search, Binary search, Analysis of Sequential and Binary Search. Dry run to identify best, worst and average cases. Implementation of searching techniques in Python

Sorting

1. Overview of sorting techniques, Bubble Sort, Selection Sort and Insertion Sort. Dry run to identify best, worst and average cases. Implementation of sorting techniques in Python.

2. Hashing: Hash Functions, Collision Resolution.

Understanding Data

Data and its purpose, collection and organization; understanding data using statistical methods: mean, median, standard deviation, variance; data interpretation.

Database Concepts

• Introduction to database concepts, difference between database and file system, relational data model: concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, foreign key;

• Relational algebra: selection, projection, union, set difference and cartesian product.

Structured Query Language

1. 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

2. Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE,

3. Data Query: SELECT, FROM, WHERE

4. Data Manipulation: INSERT, UPDATE, DELETE

5. Math functions: POWER (), ROUND (), MOD ().

6. Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (), LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().

7. Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (),DAYNAME ()

8. Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT(*). Querying and manipulating data using Group by, Having, Order by.

9. Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN

Computer Networks

1. Introduction to computer networks, Evolution of networking,

2. Network types: LAN, WAN, MAN

3. Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway.Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies

4. Basic concept of MAC and IP Address.

5. Difference between Internet and web

Data Communication

1. Concept of communication, Types of Data Communication, switching techniques

2. Communication Media: Wired Technologies – Twisted pair cable, Co-axial cable, Ethernet Cable,Optical Fibre;

3. Introduction to mobile telecommunication technologies

4. Wireless Technologies – Bluetooth, WLAN, Infrared, Microwave

5. Network Protocol: Need for Protocol, Categorization and Examples of protocol, HTTP, FTP, IP, PPP;electronic mail protocol

6. Concept of Channel, Bandwidth (Hz, KHz, MHz) and Data Transfer rate (bps, Kbps, Mbps, Gbps,Tbps)

Security Aspects

1. Threats and prevention: Viruses, Worms, Trojan horse, Spam, Cookies, Adware, Firewall, http vs https.

2. Network Security Concepts: Firewall, Cookies, Hackers and Crackers

3. Antivirus and their workings

4. Network security threats: Denial of service, Intrusion problems, Snooping, Eavesdropping.

Unit

Topics

Database Query using SQL

1. Math functions: POWER (), ROUND (), MOD ().

2. Text functions: UCASE ()/UPPER (), LCASE ()/LOWER (), MID ()/SUBSTRING ()/SUBSTR (),LENGTH (), LEFT (), RIGHT (), INSTR (), LTRIM (), RTRIM (), TRIM ().

3. Date Functions: NOW (), DATE (), MONTH (), MONTHNAME (), YEAR (), DAY (), DAYNAME ().

4. Aggregate Functions: MAX (), MIN (), AVG (), SUM (), COUNT (); using COUNT (*).

5. Querying and manipulating data using Group by, Having, Orderby.

6. Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN

Data Handling using Pandas – I

1. Introduction to Python libraries-Pandas, NumPy, Matplotlib.

2. Data structures in Pandas - Series and DataFrames.

3. Series: Creation of Series from – and array, dictionary, scalar value; mathematical operations; Head and Tail functions; Selection, Indexing, and Slicing.

4. DataFrames: 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; Styling & Formatting data, Head and Tail functions; Joining, Merging and Concatenations.

5. Importing/Exporting Data between CSV files and DataFrames.

Data Handling using Pandas – II

1. Descriptive Statistics: max, min, count, sum, mean, median, mode, quartile, Standard deviation,variance.

2. DataFrame operations: Aggregation, group by, Sorting, Deleting and Renaming Index, Pivoting.

3. Handling missing values – dropping and filling.

4. Importing/Exporting Data between MySQL database and Pandas.

Plotting Data using Matplotlib

1. Purpose of plotting; drawing and saving t h e following types of plots using Matplotlib – line plot, bargraph, histogram, pie chart, frequency polygon, box plot, and scatter plot.

2. Customizing plots: color,style (dashed, dotted), width; adding label, title, and legend in plots.

Introduction to Computer Networks

1. Introduction to Networks, Types of networks: LAN, MAN,WAN.

2. Network Devices: modem, hub, switch, repeater, router, gateway

3. Network Topologies: Star, Bus, Tree, Mesh.

4. Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP.

5. Website: Introduction, the difference between a website and webpage, static vs dynamic webpage, webserver, and hosting of a website.

6. Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-ins, cookies.

Societal Impacts

1. Digital footprint, Etiquettes for Net surfing and for communicating through social media, data protection, Intellectual Property Rights (IPR) and their violation, plagiarism licensing and copyrights, Free and Open Source Software (FOSS), creative commons, Cybercrime and cyber laws, hacking, phishing, cyberbullying, Overview of Indian IT Act, preventing cybercrime.

2. E-waste : hazards and management.

3. Awareness about health concerns related to the usage of technology- l i k e effect on eyesight,physiological issues, and ergonomic aspects.

CUET Computer Science Syllabus PDF

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Section

Number of Questions

Duration

Question Types

Section II – Domain (Computer Science)

50 Questions

60 minutes

MCQs based on Class 12 NCERT syllabus. Input text may be provided for certain questions.

Subject Name

CUET Syllabus PDF

CUET Question Paper PDF

Section I (Language)

English

CUET English Syllabus 2026 

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Hindi

CUET Hindi Syllabus

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Section II (Domain Subjects)

Accountancy

CUET 2026 Accountancy Syllabus 

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Agriculture

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Anthropology

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Biology/Biological Science/Biotechnology/Biochemistry

CUET 2026 Biology Syllabus 

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Business Studies

CUET Business Studies Syllabus

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Chemistry

CUET 2026 Chemistry Syllabus 

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Environmental Science

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Computer Science

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Economics

CUET 2026 Economics Syllabus  

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Fine Arts

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Geography

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History

CUET History Syllabus 2026  

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Home Science

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Knowledge Tradition Practices in India

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Mass Media/ Mass Communication

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Mathematics/ Applied Mathematics

CUET Mathematics Syllabus 2026 

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Performing Arts

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Physical Education

CUET Physical Education Syllabus 2026 

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Physics

CUET Physics Syllabus 

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Political Science

CUET Political Science Syllabus 

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Psychology

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Sanskrit

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Sociology

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Section III (General Aptitude Test)

General Aptitude Test

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Book / Resource

Key Features

Targeted Use

Oswaal NTA CUET (UG) Question Bank Chapter-wise & Topic-wise: Computer Science (For 2024/2025)

Covers latest pattern; includes past years’ questions; revision notes + plenty of practice.

Use to strengthen each chapter; do many questions to understand weightage. Review wrong ones carefully.

Oswaal NTA CUET (UG) 5 Mock Test Papers: Computer Science/Informatics Practices (For 2025)

Gives you full mock tests; good for exam timing & identifying weak areas.

After finishing theory, do these mocks under timed conditions. Then analyze mistakes.

Disha Publications: Computer Science / Informatics Practices questions + mock tests

Contains theory explained simply + mock tests. Good for self-assessment.

Use theory part to strengthen foundations; mock tests to practice. Especially useful to simulate the exam pattern.