CUET Computer Science Syllabus 2026 PDF Download Here

Overview: If you are planning to pursue BCA or B. Tech CSE, etc, through CUET, Computer Science will be one of your domain subjects. Learn the detailed CUET Computer Science Syllabus 2026, including Python programming, database theory, networking, exam pattern, and reference books. 

The CUET participating colleges offer a variety of undergraduate programmes in computer science specialisation, such as B.Sc., B.Tech courses, and BCA, among others. Get insights into the CUET computer science syllabus 2026 to know the important chapters and plan your exam preparation.

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Important facts about CUET Computer Science Syllabus 2026

The National Testing Agency releases the CUET computer science syllabus 2026, which is followed by all CUET central, state, deemed, and private universities. The CUET CS syllabus covers topics studied till the 12th grade.

• The Computer Science exam for the CUET 2026 entrance is divided into sections A and B (B1 and B2). 
• Section A requires answering all 15 questions about computer science and information practices. 
• Section B1 will include 35 computer science questions, with just 25 of those questions to be attempted. 
• Section B2 will include 35 questions about information practices, but only 25 must be answered. 

CUET Computer Science Syllabus 2026 [Section-Wise]

A good understanding of the CUET CS syllabus 2026 is essential for pursuing undergraduate computer science programmes at prestigious CUET universities.

CUET Computer Science Syllabus 2026: Section A: Informatics Practices - 308 

Exceptions and File Handling in Python 

• Exception Handling: syntax errors, exceptions, need for 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 
• File Handling: Text files and binary files, file types, opening and closing files, reading and writing text files, reading and writing binary files using the pickle module, and file access modes. 

Database Theory 

• Database Concepts Introduction to database concepts, the difference between database and file system, relational data model: the concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, foreign key;  
• Relational algebra: selection, projection, union, set difference and cartesian product

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SQL stands for Structured Query Language 

• 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 
• Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE 
• Data Query: SELECT, FROM, WHERE 
• Data Manipulation: INSERT, UPDATE, DELETE 
• 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, and ORDER BY. 
• Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN 

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Computer Networks  

• Introduction to computer networks, Evolution of networking,  
• Network types: LAN, WAN, MAN  
• Network devices include a modem, an Ethernet Card, a Repeater, a Hub, a Switch, a Router, and a Gateway. 
• Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies  
• The basic concept of MAC and IP Address  
• Difference between the Internet and the web 

CUET Computer Science Syllabus 2026: Section B1: Computer Science 

Chapter 1: Exception and File Handling in Python 

• Exception Handling: Syntax errors, exceptions, the need for exception handling, user-defined exceptions, raising exceptions, handling exceptions, catching exceptions, the Try-except-else clause, the Try-finally clause, recovering and continuing with the finally block, and built-in exception classes.  
• File Handling: Text files and binary files, file types, opening and closing files, reading and writing text files, reading and writing binary files using the pickle module, and file access modes. 

Chapter 2: 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 a stack, conversion of Infix expression to Postfix expression 

Chapter 3: Queue 

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

Chapter 4: 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. 

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Chapter 5: Sorting 

• 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.  
• Hashing: Hash Functions, Collision Resolution, Implementing the Map Abstract Data Type. 

Chapter 6: Understanding Data 

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

Chapter 7: Database Concepts 

• Introduction to database concepts, the difference between database and file system, relational data model: the concept of domain, tuple, relation, keys - candidate key, primary key, alternate key, foreign key; 
• Relational algebra: selection, projection, union, set difference and cartesian product

CUET Computer Science Syllabus: Chapter 8: Structured Query Language 

• 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  
• Data Definition: CREATE TABLE, DROP TABLE, ALTER TABLE,  
• Data Query: SELECT, FROM, WHERE  
• Data Manipulation: INSERT, UPDATE, DELETE  
• 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.  
• Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN 

Chapter 9: Computer Networks 

• Introduction to computer networks, Evolution of networking,  
• Network types: LAN, WAN, MAN Network devices: Modem, Ethernet Card, Repeater, Hub, Switch, Router, Gateway.  
• Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies  
• The basic concept of MAC and IP Address  
• Difference between the Internet and web  

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CUET Computer Science Syllabus 2026: Section B2: Informatics Practices  

Chapter 1: 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, and Order by.  
• Operations on Relations - Union, Intersection, Minus, Cartesian Product, JOIN  

Chapter 2: Data Handling using Pandas – I 

• Introduction to Python libraries- Pandas, NumPy, Matplotlib. Data structures in Pandas - Series and DataFrames.  
• Series: Creation of Series from – an array, dictionary, scalar value; mathematical operations; Head and Tail functions; Selection, Indexing, and Slicing.  
• DataFrames: creation - from the 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.  
• Importing/Exporting Data between CSV files and DataFrames.  

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Chapter 3: Data Handling using Pandas – II 

• Descriptive Statistics: max, min, count, sum, mean, median, mode, quartile, Standard deviation, variance.  
• DataFrame operations: Aggregation, group by, sorting, deleting and renaming the Index, and Pivoting. Handling missing values – dropping and filling.  
• Importing/Exporting Data between MySQL database and Pandas.  

Chapter 4: Plotting Data using Matplotlib 

• Purpose of plotting: drawing and saving the following types of plots using Matplotlib – line plot, bar graph, histogram, pie chart, frequency polygon, box plot, and scatter plot.  
• Customising plots: colour, style (dashed, dotted), width; adding label, title, and legend in plots. 

Chapter 5: Introduction to Computer Networks 

• Introduction to Networks, Types of networks: 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, the difference between a website and a webpage, static vs dynamic web page, web server, and hosting of a website.  
• Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plugins, cookies. 

Computer Science CUET syllabus: Chapter 6: Societal Impacts 

• 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), Cybercrime and cyber laws, hacking, phishing, cyberbullying, Overview of Indian IT Act, preventing cybercrime.  
• E-waste is a hazard, and it requires management.  
• Awareness about health concerns related to the usage of technology, such as the effect on eyesight, physiological issues, and ergonomic aspects.  

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Chapter 10: Data Communication  

• Concept of communication, Types of Data Communication, switching techniques  
• Communication Media: Wired Technologies – Twisted pair cable, Co-axial cable, Ethernet Cable, Optical Fibre;  
• Introduction to mobile telecommunication technologies  
• Wireless Technologies – Bluetooth, WLAN, Infrared, Microwave  
• Network Protocol: Need for Protocol, Categorisation and Examples of Protocol, HTTP, FTP, IP, PPP; electronic mail protocol  
• Concept of Channel, Bandwidth (Hz, KHz, MHz) and Data Transfer rate (bps, Kbps, Mbps, Gbps, Tbps)  

Chapter 11: Security Aspects 

• Threats and prevention: Viruses, Worms, Trojan horse, Spam, Cookies, Adware, Firewall, HTTP vs HTTPS  
• Network Security Concepts: Firewall, Cookies, Hackers and Crackers  
• Antivirus and its workings. Network security threats: Denial of service, Intrusion problems, Snooping, Eavesdropping. 

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CUET Computer Science Exam Pattern 2026

Knowing the CUET exam pattern not only helps you comprehend the concept of the CUET computer science syllabus and marking scheme better but also gives you a basic notion of the exam's difficulty level. 

Particulars	Description
Exam Duration	60 minutes
No. of questions to be attempted	50 out of 50
Exam mode	Computer-based test
Total Marks	250
Medium of exam	English, Bengali, Hindi, Kannada, Malayalam, Urdu, Odia, Telegu, Tamil, Punjabi, Assamese, Marathi and Gujarati
Types of questions	Multiple Choice Questions (MCQs)

Reference Books for CUET Computer Science Syllabus 2026

The CUET preparation books are of the utmost significance to cover the exam. You can find a list of the best books for CUET Computer Science syllabus preparation below: 

Book Name	Author/Publisher
Computer Science with Python	Rachna Sagar
Computer Science Textbook for Class 12th	NCERT
Computer Science: A Modern Approach	Sumita Arora
In conjunction with Rachna Sagar's Computer Science Class 12	Rachna Sagar
Go To Guide for CUET (UG) Computer Science with 10 Practice Sets	Disha Experts

Learn more: Is NCERT Enough for CUET Preparation 2026?

Key Takeaways

Knowing the CUET Computer Science syllabus 2026 is essential to pursue the computer science CUET Courses 2026. 

• Topics covered in the CUET CS syllabus include topics like Python programming, database theory, networking, and more.
• The exam has two sections: Section A (15 required questions) and Section B1/B2 (25 out of 35 questions).
• The CUET 2026 exam pattern is MCQ-based with a negative marking of -1 for each wrong answer.
• Use the NCERTs and the recommended reference books mentioned above for preparing the CUET computer science syllabus 2026.