CUET 2026 Computer Science: Preparation Tips, Scoring Topics, Weightage

Kamayani Meghawal

Updated On: February 04, 2026 05:28 PM

To prepare effectively, you should understand the exam pattern and high-weightage topics like Python, databases, networks, and data handling. Follow a realistic timetable, use trusted study materials, practise mock tests regularly, and revise consistently to improve accuracy. 
CUET Computer Science Preparation Tips, Scoring Topics, Weightage

CUET 2026 Computer Science Preparation Tips : To prepare effectively for CUET 2026 Computer Science, you should first understand the syllabus, exam pattern, and high-weightage topics such as Python programming, database concepts, computer networks, and data handling. Create a realistic timetable, choose reliable study materials, and prioritise regular practice with mock tests. Consistent revision will help you strengthen concepts, improve speed and accuracy, and boost your overall performance in the exam. The CUET UG exam will be held from May 11 to May 31, 2026.

Read more: CUET Computer Science 2026 Syllabus

CUET 2026 Computer Science Preparation Tips

CUET Computer Science preparation tips are the most helpful tips for students preparing for the CUET exam 2026. This India-level exam for students needs preparation to secure the best rank in the CUET 2026 Computer Science exam. If you want to secure the best scores, then these CUET preparation tips 2026 mentioned below will be helpful for you.

1. Cover Section A to Build Common Core: Section A is compulsory for both Computer Science and IP students and mainly focuses on Python Exception Handling and Database Concepts. You should practise dry-running code snippets and clearly understand syntax errors. Memorising the hierarchy of built-in Python exceptions will help you answer tricky output-based questions accurately.

2. Deep Dive into SQL & Relational Algebra: SQL is a high-scoring area in CUET, but you should not ignore Relational Algebra topics like Projection, Selection, and Cartesian Product. Practise queries using GROUP BY, HAVING, and JOINs, and clearly understand DELETE, DROP, and TRUNCATE. You can expect around 5 to 8 questions from database queries and operations.

3. Visualize Data Structures (Stacks & Queues): For Section B1, you must clearly understand LIFO and FIFO principles. Focus on visualising stack and queue operations, such as converting infix expressions to postfix. You should also practise Python implementations using list methods like .append() and .pop() to simulate these data structures effectively.

4. Don’t Ignore Societal Impacts (Section B2): If you are appearing for the Information Practices section, do not overlook topics like Digital Footprints, E-waste, and the IT Act, as they carry good weightage. Create a one-page revision sheet covering cyber laws and common malware types for quick recall.

5. Practice Case-Study Questions: NTA has shifted towards objective-based questions that check your conceptual clarity. You should practise matching network topologies like Bus, Star, and Mesh with their advantages and limitations. Also, be prepared for case-based questions requiring you to suggest suitable network cables or server locations.

6. Study from NCERT Books: CUET is strictly based on the Class 12 NCERT syllabus, so you should treat it as your primary resource. Pay special attention to every “Note” box and “Points to Remember” section, as these lines are frequently framed as direct MCQs in the exam.

Also check: CUET Preparation Tips

CUET Computer Science 2026 Syllabus

CUET Computer Science 2026 Syllabus

Students preparing for the CUET 2026 should know the CUET 2026 Computer Science syllabus. Here is the list of the units in the CUET Computer Science syllabus:

Section

Units/Chapters

Topics

Section A

Exception and File Handling in Python

  • Exception Handling

  • Syntax errors, exceptions, need of exception handling

  • File Handling

Database Concepts

  • Introduction to database concepts

  • Relational data model

  • Relational algebra

Structured Query Language

  • Advantages of using Structured Query Language

  • Data Definition Language

  • Introduction to MySQL, Creating a database using MySQL

  • Data Types, Data Definition, Data Query, Data Manipulation

  • Math functions: POWER (), ROUND (), MOD ()

Computer Networks

  • Introduction to computer networks

  • Evolution of networking

  • Network types

  • Network Topologies

  • Network Topologies

  • Mesh, Basic concept of MAC and IP Address

  • Network Topologies

Section B - 1 (Computer Science)

Exception and File Handling in Python

  • Exception Handling

  • File Handling

Stack

  • Stack (List Implementation)

  • Introduction and operations to stack (LIFO Operations)

Queue

  • Introduction to Queue and its implementation in Python

Searching

  • Introduction to Searching

  • Implementation of searching techniques in Python

Sorting

  • Overview of sorting techniques

  • Hash Functions, Collision Resolution

Understanding Data

  • Data and its purpose

Database Concepts

  • Introduction to database concepts

  • Relational algebra

Structured Query Language

  • Data Definition

  • Data Query

  • Data Manipulation

  • Math functions

  • Text function

  • Date function

  • Aggregate function

  • Operation on Relation

Computer Networks

  • Introduction to computer networks and Evolution

Sections B - 2 (Information Practices)

Database Query using SQL

  • Math functions

  • Text functions

  • Date Functions

  • Aggregate Functions

  • Operations on Relations

Data Handling using Pandas – I

  • Introduction to Python libraries

Data Handling using Pandas – II

  • Descriptive Statistics

  • Data Frame operations

  • Handling missing values

  • Importing/Exporting Data between MySQL database

Plotting Data using Matplotlib

  • Purpose of plotting

  • Customizing plots

Introduction to Computer Networks

  • Introduction to Networks

  • Network Topologies

  • Website

  • Web Browsers

Societal Impacts

  • Digital footprint

  • Introduction to Computer Networks Page

Data Communication

  • Concept of communication

  • Types of Data Communication

  • Switching techniques

  • Communication Media

  • Introduction to mobile telecommunication

Security Aspects

  • Threats and prevention

  • Network Security Concepts

  • Network security threats


The CUET exam expert, Sakunth Kumar , says, "While the syllabus remains NCERT-based, we are seeing a 15% increase in Output-based MCQs. Do not just study definitions; practice tracing code logic on paper. Focus 40% of your prep on SQL and Networking, as they remain the highest-weightage 'anchors' of the paper."

CUET Computer Science 2026 Scoring Topics

Knowing the scoring topics and important topics while preparing for the CUET Computer Science helps you to score the best marks. Although these topics are important, they are just predictions and can vary according to the paper. The most important scoring topics in CUET 2026 Computer Science are mentioned below:

Exception and File Handling in Python - Syntax errors, exceptions, need for exception handling, user-defined exceptions, Text file, and binary file, file types, open and close files, reading and writing text files, file access modes, and writing binary files using the pickle module.

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

Computer Networks - Introduction to computer networks, Evolution of networking, Network types: LAN, WAN, MAN, Network devices, Network Topologies: Mesh, Ring, Bus, Star, and Tree topologies, Network Topologies, Basic concept of MAC and IP Address, Difference between Internet and web.

Database Query using SQL - Math functions, Text functions, Date Functions, Aggregate Functions, Operations on Relations - Union, Intersection, Minus, Cartesian Product.

Data Handling using Pandas I & II - Introduction to Python libraries such as Pandas, NumPy, and Matplotlib, Data structures in Pandas, Creation of Series, mathematical operations, Indexing, Slicing, Data Frames creation, Operations on Rows and columns, Boolean Indexing, Styling & Formatting data, Head and Tail functions, Importing/Exporting Data between CSV files and DataFrames. Data Handling using Pandas – II, Descriptive Statistics, Data Frame operations, Handling missing values – dropping and filling, Importing/Exporting Data between MySQL database and Pandas.

Data Communication - Concept of communication, Types of Data Communication, switching techniques, Communication Media, Bluetooth, WLAN, Infrared, Microwave Network Protocol, Need for Protocol, Categorization, and Examples of protocol, HTTP, FTP, IP, PPP.

CUET 2026 Computer Science Weightage

The Computer Science syllabus of CUET 2026 is divided into three major 3 sections, which are further divided into multiple units. The marks weightage of these sections is mentioned below.

Section

Marks Weightage (%)

Section A

60%

Section B - 1 (Computer Science)

70%

Sections B - 2 (Information Practices)

70%

Read more: CUET Mock Tests 2026

If you are preparing for the CUET 2026 Computer Science exam, stick to CollegeDekho to know more!

FAQs

What is the marks weightage for each section in CUET 2026 Computer Science?

The marks weightage for the sections are: Section A - 60%, Section B-1 (Computer Science) - 70%, and Section B-2 (Information Practices) - 70%.

Which study materials are primary resources for CUET 2026 Computer Science?

CUET is strictly based on the Class 12 NCERT syllabus, so NCERT books should be treated as your primary resource. Pay special attention to every 'Note' box and 'Points to Remember' section.

What are some key preparation tips for CUET 2026 Computer Science?

Key preparation tips include understanding the syllabus and exam pattern, focusing on Python Exception Handling and Database Concepts for Section A, deep diving into SQL & Relational Algebra, visualizing Data Structures, practicing case-study questions, and studying thoroughly from NCERT books.

What are the high-weightage topics for CUET 2026 Computer Science preparation?

High-weightage topics for CUET 2026 Computer Science include Python programming, database concepts, computer networks, and data handling. According to an expert, SQL and Networking remain the highest-weightage 'anchors' of the paper.

When will the CUET UG 2026 exam be held?

The CUET UG exam will be held from May 11 to May 31, 2026.

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