CUET Computer Science Syllabus 2025: CSE is one of the several disciplines covered in Section 2 (Domain Specific Subject) of the exam. CS paper has questions about computation, automation, and information. Both academic and practical elements are included in the CS Syllabus. The fact that CS is a branch of academic study sets it apart from computer programming.
CUET Computer Science Syllabus 2025
The CUET Computer Science Syllabus has 2 units. Each of these two units is divided into 3 sections, further divided into many sub-sections, making it a lengthy syllabus to cater to. Unit 1 has one section, and Unit 2 has two sections, Section-B1 and Section-B2. Each unit has some sort of connection to the others. The students should thoroughly and effectively study each of these topics. The candidate should devote the same amount of time and effort to each of these sections of the CUET Syllabus to ace the CS exam.
Units in CUET Computer Science Syllabus
Aspirants can check the units included in the CSE Syllabus for the CUET domain-specific subject. Aspirants must devote time to each section to outrank the competitors in the exam.
- Database Concepts
- Exception and File Handling in Python
- Structured Query Language
- Security Aspects
- Sorting
- Searching
- Introduction to Computer Networks
- Societal Impacts
- Computer Networks
- Stack
- Understanding Data
- Database Concepts
- Queue
- Data Communication
- Data Handling using Pandas -1
- Database Query using SQL
- Plotting Data using Matplotlib
- Data Handling using Pandas -2
CUET Computer Science Syllabus PDF
The CUET Computer Science Syllabus PDF can be downloaded from the website. Instead, aspirants can use the link below to quickly and conveniently download the syllabus PDF in Hindi and English.
CUET Computer Science Syllabus Unit-wise
To understand the CSE Syllabus computer science easily the topics are divided into sections. Important topics are divided into database concepts, SQL, networks, and other sections. The topics asked in the exam are shared in the table below.
| Unit | Topics |
| Section-A | |
| 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. | |
| 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; | |
| 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 | |
| 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 | |
| Section – B1 | |
| 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. | |
| 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 |
| Queue | Queue (List Implementation): Introduction to Queue (FIFO), Operations on Queue (INSERT and DELETE), and its implementation in Python. |
| Searching | Sequential search, Binary search, and Analysis of Sequential and Binary Search. Dry run to identify best, worst, and average cases. Implementation of searching techniques in Python. |
| Sorting | Overview of sorting techniques, Bubble sorting, Selection Sort, and Insertion Sort. Dry run to identify best, worst, and average cases. Implementation of sorting techniques in Python. |
| Understanding Data | Data and its purpose, collection, and organization; understanding data using statistical methods: mean, median, standard deviation, variance; data interpretation; data visualization. |
| 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; |
| 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 |
| 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 | |
| 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 | |
| Section – B2 | |
| 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 | |
| Data Handling using Pandas -1 | Introduction to Python libraries- Pandas, NumPy, Matplotlib. Data structures in Pandas – Series and Data Frames. |
| Series: Creation of Series from – an 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 using Labels, Boolean Indexing; Styling & Formatting data, Head and Tail functions; Joining, Merging, and Concatenations. | |
| Importing/Exporting Data between CSV files and Data Frames. | |
| Data Handling using Pandas -2 | Descriptive Statistics: max, min, count, sum, mean, median, mode, quartile, Standard deviation, variance. |
| Data Frame operations: Aggregation, Group by, Sorting, Deleting and Renaming Index, Pivoting. Handling missing values – dropping and filling. | |
| Importing/Exporting Data between MySQL database and Pandas. | |
| 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. |
| Customizing plots: color, style (dashed, dotted), width; adding label, title, and legend in plots. | |
| 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 website hosting. | |
| Web Browsers: Introduction, commonly used browsers, browser settings, add-ons and plug-ins, cookies. | |
| Societal Impacts | Digital footprint, Etiquette for Net surfing and 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 management. | |
| Data Communication | Awareness about health concerns related to technology usage, like effects on eyesight, physiological issues, and ergonomic aspects. |
| 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, Categorization, and Examples of protocol, HTTP, FTP, IP, PPP; electronic mail protocol | |
| Security Aspects | Concept of Channel, Bandwidth (Hz, kHz, MHz), and Data Transfer rate (bps, Kbps, Mbps, Gbps, Tbps) |
| Threats and prevention: Viruses, Worms, Trojan horses, Spam, Cookies, Adware, Firewall, HTTP vs HTTPS | |
| Network Security Concepts: Firewall, Cookies, Hackers, and Crackers Antivirus and their workings | |
| Network security threats: Denial of service, Intrusion problems, Snooping, Eavesdropping | |
How to Prepare Computer Science Syllabus?
Students must follow general rules and techniques to complete the CUET CSE Syllabus. In the following text, we’ll review four crucial preparation tips that every student, regardless of domain subject, should go by to guarantee a successful exam performance.
- The exam syllabus should be thoroughly and accurately analyzed. Entrance exam candidates must be well-versed in the CUET CS Syllabus.
- Create a plan for preparation and follow it. Making a study plan is essential before starting the exam preparation. Applicants need to prioritize each subject and allot appropriate time for it. To make the practices doable, they must establish achievable goals.
- It takes a lot of practice to achieve a good score in the CSE CUET exam. Applicants must finish as many questions, mock exams, sample papers, and CUET CSE previous years’ question papers as possible.
- Revision is the secret to long-term success. Extensive review is required for exam preparation, and applicants should save at least two to three weeks for revision.
CUET CSE Syllabus Books
Good resources are essential for passing the test. In addition to these trustworthy and handy books for the Computer Science Syllabus for CUET, students are strongly advised to purchase curated notebooks to write, learn, and revise their learnings.
- Together with Computer Science Class 12 – Rachna Sagar
- Computer Science with Python Class 12 – Sumita Arora
- NCERT Computer Science Textbook For Class 12th
Also Check,
CUET Computer Science Syllabus FAQs
What is the CUET Computer Science Syllabus?
There are numerous topics and subtopics in the CUET Computer Science Syllabus, like Exception and File Handling in Python, Structured Query Language, etc. To do well in the computer science domain subject, candidates must prepare all the topics included in the Computer Science CUET Syllabus.
How to prepare for the Computer Science CUET Syllabus?
Candidate preparation for the Computer Science CUET Syllabus requires advice and guidance from professionals. Experts have shared the CUET Preparation Tips and tricks for the CSE exam in the article.
What are the notable books to cover the CUET CS Syllabus?
Along with the below books to cover the CUET computer science syllabus, aspirants can begin their preparation.
- Computer Science Class 12 – Rachna Sagar,
- Computer Science with Python Class 12 – Sumita Arora,
- NCERT Computer Science Textbook For Class 12th, the fundamental CUET Books to cover the computer science curriculum.
Is there any change in the official CUET CSE Syllabus?
No! The CUET computer science syllabus hasn’t changed recently. Even so, the National Testing Agency administers the exam and will give ample notice if any modifications are made shortly.
What is the brief overview of the CUET Computer Science syllabus?
The CUET Computer Science Syllabus consists of two units. Each of these two sections, or parts, has multiple important sub-sections to the paper. Computer science is the study of computation, automation, and information. There are theoretical and practical components to computer science, and the fact that computer science is a branch of academic study sets it apart from computer programming.
How to download CUET CS Syllabus PDF?
Candidates can obtain the CUET Computer Science Syllabus in PDF format on the NTA website. To assist applicants who cannot access the PDF online, a direct link to download the syllabus PDF in Hindi and English is included in the post.