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Open Date: 29 April 2026
Close Date: 20 May 2026
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UGC NET COMPUTER SCIENCE
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UGC NET COMPUTER SCIENCE
UGC NET Computer Science is an NTA-conducted national exam for Assistant Professor, JRF, and PhD eligibility. It assesses programming, algorithms, databases, operating systems, computer networks, software engineering, and data structures through objective-type questions.
Latest Updates & News
UGC NET June 2026 Examination Concluded
The UGC NET June 2026 computer-based test was successfully conducted by NTA across various test centers nationwide.
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Launch Practice Questions Previous Year Papers Launch QuizEligibility
Post Graduation
- Master's degree in Computer Science & Applications or an equivalent discipline from a UGC-recognized university.
- Candidates must have secured at least 55% marks (without rounding off) in their Master's degree.
- Candidates belonging to SC/ST/OBC-NCL/PwD/PwBD/Third Gender categories require at least 50% marks.
- Final Year Students can apply provisionally.
Age Limit for JRF
- General Category - 30 Years
- Others - 35 Years
Age Limit for Assistant Professor
- No limit
Nationality
- The candidate must be an Indian citizen (or otherwise eligible under the conditions specified by the NTA/UGC).
Eligible Postgraduate Degrees
- M.Sc. Computer Science /M.Sc. Information Technology (IT)
- Master of Computer Applications (MCA)
- M.Tech./ME in Computer Science & Engineering
- M.Tech./ME in Information Technology
- M.Tech./ME in Software Engineering
- M.Tech./ME in Artificial Intelligence / Data Science (or related Computer Science specializations)
- Other equivalent postgraduate degrees in Computer Science & Applications recognized by UGC.
Paper Pattern
Paper 1
50
Questions
100
MM
3hrs
Duration
MCQ
Type
Paper 2
100
Questions
200
MM
3hrs
Duration
MCQ
Type
Key Points
2 Marks
Marks per Question
Computer-Based Test (CBT)
Exam Mode
English & Hindi (except language papers)
Question Language
Compulsory
All Questions
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Complete Syllabus Breakdown
Click on individual units below to reveal the specific topics and underlying concepts.
Paper II Syllabus (Computer Science & Applications)
Unit I: Discrete Structures & Optimization
- Mathematical Logic & Graph Theory
- Sets, Relations & Functions
- Combinatorics & Discrete Probability
- Linear Programming & Optimization Techniques
Unit II: Computer System Architecture
- Number Systems & Boolean Algebra
- Logic Gates & CPU Organization
- Combinational & Sequential Circuits
- Memory Hierarchy & Cache Memory
- Pipelining , RISC & CISC Architecture
Unit III: Programming Languages & Computer Graphics
- Programming Paradigms
- Object-Oriented Programming
- Data Types & Control Structures
- Recursion & Algorithms
Unit IV: Database Management Systems (DBMS)
- ER Model & Relational Model
- SQL & Normalization
- Transactions & Concurrency Control
- Database Security & Distributed Databases
Unit V: System Software & Operating Systems
- Assemblers, Loaders & Linkers
- Process Management , Threads
- CPU Scheduling , Deadlocks
- Memory Management
- File Systems, Virtual Memory
Unit VI: Software Engineering
- Software Development Life Cycle (SDLC)
- Software Process Models
- Requirements Engineering
- Software Design & Testing
- Software Maintenance & Project Management
- Software Quality Assurance
Unit VII: Data Structures & Algorithms
- Linked Lists & Arrrays
- Stacks & Queues
- Trees & Graphs
- Searching & Sorting
- Algorithm Design Techniques
- Time & Space Complexity
Unit VIII: Theory of Computation & Compiler Design
- Finite Automata , Regular Expressions
- Context-Free Grammars , Pushdown Automata
- Turing Machines , Lexical Analysis
- Parsing Techniques
- Code Generation & Optimization
Unit IX: Data Communication & Computer Networks
- OSI & TCP/IP Models
- Network Devices , Routing Algorithms
- Transport Layer , Network Security
- Wireless Networks , Internet Protocols
- Network Performance
Unit X: Artificial Intelligence
- Intelligent Agents , Search Algorithms
- Knowledge Representation , Expert Systems
- Machine Learning Basics , Neural Networks
- Natural Language Processing (NLP) , Fuzzy Logic
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SHORT QUESTIONS
What is Text Mining?
Text Mining/ Text data mining is used for text analysis. It refers to the process of extracting rich information from text.
What are the applications of Data Mining?
The information gathered from Data Mining and Analysis can be used in the following application:-
- Fraud Analytics
- Market Analysis
- Customer Retention
- Product Control
Fees
Completed
Category
Fee (INR)
General / Unreserved
₹1,150
General-EWS / OBC-NCL
₹600
SC / ST / PwD / Third Gender
₹325
Payment Mode
Credit Card, Debit Card, Net Banking, UPI
Cut Offs
Year: 2025