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CUET Pg Data Science 2027 Free Mock Test Practice
Free Important Questions
CUET Pg Data Science 2027 Exam Free Online Question Bank
Combo Offers
CUET PG Data Science Combo Packages
We Launches Combo Offers ! with Heavy Discount and Cost Saving Prices. Combo Packages includes - Online Mock Test Series + Important Questions or MCQs + Previous Year Papers with Answer.
Combo Package
CUET PG Data Science
Combo - 1 (English)
1. Online Mock Test Series in English = 10 Tests.
2. Question Bank - 1000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 1000 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹201₹231
Combo Package
CUET PG Data Science
Combo - 2 (English)
1. Online Mock Test Series in English = 20 Tests.
2. Question Bank - 2100 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 2100 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹271₹301
Combo Package
CUET PG Data Science
Combo - 3 (English)
1. Online Mock Test Series in English = 30 Tests.
2. Question Bank - 2100 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 2100 Questions with Answer.
3. 1500 (+) Current Affairs MCQ with Answer PDF in English.
4. 1000 (+) GK MCQ with Answer PDF Book in English.
₹291₹321
Combo Package
CUET PG Data Science
Combo - 4 (English)
1. Online Mock Test Series in English = 30 Tests.
2. Question Bank - 2100 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 2100 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. 1500 (+) Current Affairs MCQ with Answer PDF in English.
5. 1000 (+) GK MCQ with Answer PDF Book in English.
₹711₹781
Combo Package
CUET PG Data Science
Combo - 5 (English)
1. Online Mock Test Series in English = 30 Tests.
2. Question Bank - 2100 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of CUET PG Data Science (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
2. Question Bank - 2100 Questions with Answer.
3. Printed Material 10 Mock Test Papers with OMR Sheet.
4. EBook of CUET PG Data Science (1000 MCQ) PDF Format in English.
5. 1500 (+) Current Affairs MCQ with Answer PDF in English.
6. 1000 (+) GK MCQ with Answer PDF Book in English.
₹811₹971
CUET PG Data Science Syllabus 2027, Exam Pattern
CUET PG Data Science Syllabus 2027, Exam Pattern, Exam Date 2027
Detail Information about CUET PG has published notification 2027 for this exam of Data Science, Artificial Intelligence, Cyber Security etc. (MTQP04) vacancies. Those Candidates who are Interested to the following vacancy and completed all Eligibility Criteria can read the Notification & Apply Online. In this page we provide the Complete Syllabus of this Exam with Latest Update Exam Pattern and the Exam
CUET PG Syllabus 2027 - Overview
| Full Exam Name | Central Universities Entrance Test (CUET) |
| Conducting Body | National Testing Agency (NTA) |
| Frequency of Conduct | Once a year |
| Exam Level | University Level |
| Courses Offered | Postgraduate |
| Mode of Application | Online |
| Mode of Exam | Online (Computer-based Test) |
| Type of questions | Multiple-choice questions |
| Category | Syllabus and Exam Pattern |
| Official website | https://cuet.nta.nic.in/ |
CUET PG Data Science Syllabus 2027
Data Science, Artificial Intelligence, Cyber Security etc. (MTQP04) :
2. Theory of Computations: Finite Automata and Regular Expressions, on –determinism and NFA, Properties of Regular Sets, Context free grammar: Chomsky Normal Form (CNF), Griebach Normal Form (GNF), Push-down automata, Moore and mealy Machines, Turing machines.
3. Digital Logic: Number representations and computer arithmetic (Fixed and floating point), Logic functions, Minimizations, Design and synthesis of combinational and sequential circuits, A/D AND D/A CONVERTERS.
4. Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data –path, CPU control design, memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, Secondary storage.
5. Microprocessors and interfacing: Instructions sets, addressing modes, Memory interfacing, interfacing peripheral devices, Interrupts. Microprocessor architecture, Instructions set andProgramming (8085), Microprocessor applications, DMA, Interrupt and Timer.
6. Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, and Definition of data structure. Arrays, Stacks, Queues linked lists, trees, priority queues and heaps, Binary search trees.
7. Algorithm: Algorithm concepts, Analyzing and design, asymptotic notations and their properties, Worst and average case analysis; Design: Greedy approach, Dynamic programming, Divide and conquer; Tree and graph transversals, Spanning trees, shortest paths: Hashing, Sorting Searching.
8. Operating System: Main functions of operating systems, Processes, Threads, Interprocess communication, concurrency, Synchronization, Deadlock, CPU scheduling, I/O scheduling, Resource scheduling. Deadlock and scheduling algorithms, banker’s algorithm for deadlock handling. Memory management and virtual memory. File Systems, I/O systems, DOS, UNIX and Windows.
9. Computer Networks: OSI Model, TCP/IP model, LAN technologies (Ethernet,Token ring), Transmission media – twisted pair, coaxial cables fiber–optic cables, Flow and error control techniques, Routing algorithms, Congestion control, IP (v4), Application layer protocols (icmp , dns, smtp, pop, ftp, http);Sliding window protocols; Internetworking: Switch /Hub, Bridge, Router, Gateways, Concatenated virtual circuits, Firewalls: Network Security; Cryptography- public key, secret key. Domain Name System (DNS)-Electronic Mail and World Wide Web (WWW).
10. Artificial Intelligence: Basic concepts of AI; Intelligent agents; solving problems by searching – Uniformed search, Informed search; Logical agents; first order logic; knowledge representations.
11. Cryptography & Network security: Computer & network security concepts, Classical encryption techniques: Symmetric cipher model, Caesar Cipher, Playfair Cipher, Hill Cipher.
12. Data Science: Basic concepts; data, types of data–structured, unstructured; data representation, machine learning algorithms-supervised, unsupervised, reinforcement, clustering, classification and regression problems, data preprocessing, normalization, smoothing, visualization.
1. Set Theory & Algebra: Sets; Relations; Functions; Compositions of functions and relations, Group; Partial Orders; Boolean Algebra.
2. Theory of Computations: Finite Automata and Regular Expressions, on –determinism and NFA, Properties of Regular Sets, Context free grammar: Chomsky Normal Form (CNF), Griebach Normal Form (GNF), Push-down automata, Moore and mealy Machines, Turing machines.
3. Digital Logic: Number representations and computer arithmetic (Fixed and floating point), Logic functions, Minimizations, Design and synthesis of combinational and sequential circuits, A/D AND D/A CONVERTERS.
4. Computer Organization and Architecture: Machine instructions and addressing modes, ALU and data –path, CPU control design, memory interface, I/O interface (Interrupt and DMA mode), Instruction pipelining, Cache and main memory, Secondary storage.
5. Microprocessors and interfacing: Instructions sets, addressing modes, Memory interfacing, interfacing peripheral devices, Interrupts. Microprocessor architecture, Instructions set andProgramming (8085), Microprocessor applications, DMA, Interrupt and Timer.
6. Programming and Data Structures: Programming in C; Functions, Recursion, Parameter passing, and Definition of data structure. Arrays, Stacks, Queues linked lists, trees, priority queues and heaps, Binary search trees.
7. Algorithm: Algorithm concepts, Analyzing and design, asymptotic notations and their properties, Worst and average case analysis; Design: Greedy approach, Dynamic programming, Divide and conquer; Tree and graph transversals, Spanning trees, shortest paths: Hashing, Sorting Searching.
8. Operating System: Main functions of operating systems, Processes, Threads, Interprocess communication, concurrency, Synchronization, Deadlock, CPU scheduling, I/O scheduling, Resource scheduling. Deadlock and scheduling algorithms, banker’s algorithm for deadlock handling. Memory management and virtual memory. File Systems, I/O systems, DOS, UNIX and Windows.
9. Computer Networks: OSI Model, TCP/IP model, LAN technologies (Ethernet,Token ring), Transmission media – twisted pair, coaxial cables fiber–optic cables, Flow and error control techniques, Routing algorithms, Congestion control, IP (v4), Application layer protocols (icmp , dns, smtp, pop, ftp, http);Sliding window protocols; Internetworking: Switch /Hub, Bridge, Router, Gateways, Concatenated virtual circuits, Firewalls: Network Security; Cryptography- public key, secret key. Domain Name System (DNS)-Electronic Mail and World Wide Web (WWW).
10. Artificial Intelligence: Basic concepts of AI; Intelligent agents; solving problems by searching – Uniformed search, Informed search; Logical agents; first order logic; knowledge representations.
11. Cryptography & Network security: Computer & network security concepts, Classical encryption techniques: Symmetric cipher model, Caesar Cipher, Playfair Cipher, Hill Cipher.
12. Data Science: Basic concepts; data, types of data–structured, unstructured; data representation, machine learning algorithms-supervised, unsupervised, reinforcement, clustering, classification and regression problems, data preprocessing, normalization, smoothing, visualization.
CUET PG Data Science Exam Pattern 2027
Data Science, Artificial Intelligence, Cyber Security etc. (MTQP04)
Medium (English)
Duration : 90 Minutes
Negative Marking : 01
Correct Answer : 4 marks will be awarded for each correct response.
| S.No. | Subject | No.of Question | Marks |
| 1. | Data Science, Artificial Intelligence, Cyber Security etc. | 75 | 300 |
| Total | 75 | 300 |
CUET PG Exam Date 2027 : March to April 2027 (Tentative)
Starting Date of Application Form : January 2027
Last Date of Application Form : February 2027
FAQs
CUET Pg Data Science 2027 Exam Syllabus Frequently Asked Questions (FAQ's)
Here at Toppersexam.com , you can practice a complete set of Imporatnt Questions (MCQ) along with a Free CUET PG Data Science MCQ designed by our expert faculty.
In this article Page, we have provided the required syllabus of the CUET PG Data Science exam.
Being familiar with CUET PG Data Science Exam Pattern will help you understand the types of questions asked, difficulty level of the exam and important topics that require your keen attention. It will also acquaint you with the marking scheme and time allotted to each Topics.
CUET PG Data Science syllabus pdf download option is available here which will help you to get the PDF saved in your device that you can access anytime. It consists of a complete syllabus of CUET PG Data Science which you can refer to while preparing for the exams.
CUET PG Data Science exam is not tough but it depends on your preparation. The candidates find the Subject not challenging. The dedicated preparation in the right direction will undoubtedly take you towards the goal.
The candidates must be well versed and acquainted with the syllabus and the exam pattern. Select the areas where improvement is required and schedule your preparation accordingly. To ace this exam, the applicants ought to maintain speed with high accuracy. Practicing previous years question papers will help you understand the exam pattern and the level of difficulty of the exam. You need to hone your strengths and improve upon your weaknesses. Toppersexam.com will aid you through the preparation and drive you to success. At Toppersexam.com, you can practice a complete set of test series along with a free CUET PG Data Science mock test designed by our expert faculty.
The syllabus of CUET PG Data Science Exam includes all topics that are important for the exam and are necessary for thorough preparation. Toppersexam provides a complete and updated syllabus with a detailed topic-wise breakdown.
You can download the complete CUET PG Data Science Exam syllabus PDF from toppersexam.com. The PDF is available free and includes a detailed list of topics, section-wise subjects, and weightage for better exam preparation.
Yes, CUET PG Data Science Exam has a topic-wise syllabus that includes all relevant subtopics. Toppersexam provides the detailed breakdown, helping candidates focus on high-weightage areas and avoid missing important sections.
Toppersexam ensures that the CUET PG Data Science syllabus is updated for 2026. The latest syllabus reflects current exam trends, question patterns, and updated topics as per official notifications.
The CUET PG Data Science Exam pattern includes details like the number of sections, total questions, marks distribution, and exam duration. Toppersexam provides a comprehensive guide on exam format, marking scheme, and question types.
Yes, the majority of questions in CUET PG Data Science Exam are MCQs. Toppersexam provides practice MCQs with answers to help candidates understand the question pattern and improve accuracy.
Yes, questions are divided section-wise. Toppersexam provides a clear guide on how many questions are asked per section and their difficulty level for effective preparation.
Yes, Toppersexam offers online mock tests that strictly follow the CUET PG Data Science Exam pattern. These mocks help candidates practice time management and get real-exam experience.
Yes, exam patterns can change over time. Toppersexam provides updated information on the latest exam pattern, question types, and section-wise changes.
Understanding the exam pattern is crucial for time management, question prioritization, and strategy planning. Toppersexam guides candidates on how to use the pattern effectively to maximize scores.
Start by dividing the syllabus into sections and prioritizing high-weightage topics. Toppersexam provides a preparation strategy, along with topic-wise tips and sample questions to make syllabus analysis easier.
Yes, focusing on high-weightage topics improves efficiency. Toppersexam highlights important topics, helping candidates prioritize sections for better performance.
Toppersexam provides a free downloadable PDF that includes both the syllabus and detailed exam pattern. This helps candidates study offline and revise efficiently.