CUET Computer Science Syllabus 2025, Check Unit Wise, Important Topics

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The CUET Computer Science exam is held for students who want to join different computer science courses at universities. It helps students get admission based on their performance in the exam, rather than just their school marks. The exam covers topics like math, logic, and sometimes basic computer knowledge. The CUET UG syllabus includes basic subjects like English, Maths, Science, Social Studies, and General Knowledge. All the students who are willing to pursue Computer Science courses can check and download their online CUET UG Computer Science syllabus by simply visiting the official website of the NTA https://exams.nta.ac.in/CUET-UG/.

CUET Computer Science Exam 2025

The NTA [National Testing Agency] has released the updated syllabus for the upcoming CUET UG Examination. The Common University Entrance Test or CUET 2025 exam is held in hybrid mode (i.e., Computer-based test & Pen-Paper mode). By doing well in the CUET, students can increase their chances of getting into a good university for computer science. Preparing well for the exam by studying the syllabus and practicing sample papers can help students succeed. The CUET is an important step for those who dream of pursuing a career in computer science.

CUET Computer Science Syllabus 2025

The CUET (Common University Entrance Test) Computer Science syllabus covers fundamental topics to help students understand basic computing concepts. It includes subjects like programming, where students learn to write and understand code in languages like Python. They study data handling, which involves organizing and managing data effectively. The syllabus also covers computer systems and networks, helping students understand how computers connect and communicate.

Students explore algorithms and problem-solving techniques to solve different types of problems using computers. Basic knowledge of databases and their management is also included. Overall, the CUET Computer Science syllabus aims to provide a solid foundation in computing, preparing students for further studies in this field.

CUET Computer Science Unit Wise syllabus

The CUET UG Computer Science syllabus is divided into units, each covering a different topic. Unit 1 is about the basics of computers, like hardware and software. Unit 2 covers programming languages, especially C++. Unit 3 focuses on data structures, such as arrays and linked lists. Unit 4 is about databases and how to manage data. Unit 5 covers networking, explaining how computers connect. Finally, Unit 6 discusses the basics of cybersecurity, helping to understand online safety. This CUET syllabus gives a broad introduction to computer science concepts for beginners.

Unit 1: Exception 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 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.

Unit 2: Database Concepts

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

Unit 3: Structured Query Language (SQL)

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

Unit 4: 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 Internet and web

Unit 5: Exception 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 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.

Unit 6: Stack

Stack (List Implementation): Introduction to stack (LIFO Operations), operations on the 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

Unit 7: 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.

Unit 8: 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

Unit 9: 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

Unit 10: Understanding Data

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

Unit 11: 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.
Operations on Relations – Union, Intersection, Minus, Cartesian Product, JOIN

Unit 12: Data Handling using Pandas – I

Introduction to Python libraries- Pandas, NumPy, Chapter 1: Database Query using SQL Chapter 2: Data Handling using Pandas – I Chapter 9: Computer Networks Page | 6 Matplotlib. Data structures in Pandas – Series and Data Frames.
Series: Creation of Series from – and array, dictionary, scalar value; mathematical operations; Head and Tail functions; Selection, Indexing, and Slicing.
Data Frames: 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 usingLabels, Boolean Indexing; Styling & Formatting data, Head and Tail functions; Joining, Merging and Concatenations.
Importing/Exporting Data between CSV files and DataFrames.

Unit 13: 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 Index, Pivoting.
Handling missing values – dropping and filling.
Importing/Exporting Data between MySQL database and Pandas.

Unit 14: Plotting Data using Matplotlib

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

Unit 15: 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.
Website: Introduction, the difference between a website and webpage, static vs dynamic web page, webserver, and hosting of a website.
Introduction to Internet, URL, WWW, and its applications- Web, email, Chat, VoIP.
Web Browser: Introduction, commonly used browsers, browser settings, add-ons and plugins, cookies.

Unit 16: 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.
Awareness about health concerns related to the usage of technology like effect on eyesight, physiological issues, and ergonomic aspects.
E-waste its a hazard and management

Unit 17: Data Communication

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

Unit 18: Security Aspects

Network Security Concepts: Firewall, Cookies, Hackers and Crackers
Antivirus and their workings
Network security threats: Denial of service, Intrusion problems, Snooping, Eavesdropping
Threats and prevention: Viruses, Worms, Trojan horse, Spam, Cookies, Adware, Firewall, http vs https

Best Books For CUET Computer Science

For CUET UG Computer Science, choosing the right books is important for a strong foundation. These books cover key topics and help build a solid understanding of computer science principles. Here are some recommended books to help with your preparation:

“Computer Science: A Structured Approach Using C++” by Behrouz A. Forouzan – A great book for understanding the basics of computer science and programming in C++.
“Introduction to Computer Science Using Python” by Charles Dierbach – Useful for learning programming concepts with Python.
“Computer Science: An Overview” by J. Glenn Brookshear – Provides a broad overview of computer science topics.
“Discrete Mathematics and Its Applications” by Kenneth H. Rosen – Essential for understanding mathematical concepts used in computer science.