
UGC NET Computer Science Exam Analysis 2026: The National Testing Agency (NTA) conducted the UGC NET Computer Science examination on 2 January 2026 as part of the December 2025 cycle. The exam was held in a single shift and included both Paper 1 and Paper 2. Based on student reactions and expert feedback, the overall difficulty level of the paper was moderate. Most questions were conceptual and aligned with the prescribed syllabus, allowing well-prepared candidates to perform confidently. The paper maintained a balanced distribution of topics and tested conceptual clarity, analytical thinking, and subject understanding. Below is a detailed UGC NET Computer Science Exam Analysis 2026 covering difficulty level, shift details, and topic-wise review.
UGC NET 2026 Computer Science Exam Analysis provides insights into the structure, difficulty level, and overall pattern of the examination conducted under the December 2025 cycle. The exam was held on 2 January 2026 in a single shift. Initial feedback suggests that the paper was balanced and aligned with previous years’ trends, with emphasis on conceptual clarity and application-based questions.
|
Events |
Details |
|
Conducting Body |
National Testing Agency (NTA) |
|
Exam Name |
UGC NET Computer Science Exam 2026 |
|
Posts |
Assistant Professor & Junior Research Fellowship (JRF) |
|
Exam Level |
National |
|
Exam Frequency |
Twice a year |
|
Exam Date |
2 January 2026 |
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Mode of Exam |
Computer-Based Test (CBT) |
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Medium of Exam |
English & Hindi |
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Number of Papers & Marks |
Paper 1: 100 Marks, Paper 2: 200 Marks |
|
Exam Duration |
3 Hours (180 Minutes) |
|
Official Website |
ugcnet.nta.nic.in |
The UGC NET Computer Science paper was conducted on 2 January 2026 in Shift 1 only. The exam included both Paper 1 and Paper 2 in a single session. Candidates were required to complete both papers within the allotted duration. The exam process remained smooth and well-organised across centres.
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Shift |
Timing |
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Shift 1 |
09:00 AM – 12:00 PM |
In the UGC NET 2026 examination held on 2 January, Paper 1 was rated easy to moderate in terms of difficulty. The paper focused on teaching aptitude, reasoning ability, comprehension, and data interpretation. Most questions were concept-based rather than tricky, allowing candidates with regular preparation to attempt a good number accurately.
Paper 1 in Shift 1 emphasised conceptual understanding and clarity. The overall structure was balanced, and time management was manageable for most aspirants.
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UGC NET Paper 1 Sections |
Difficulty Level |
|
Teaching Aptitude |
Easy |
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Research Aptitude |
Easy |
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Data Interpretation |
Moderate |
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Reading Comprehension |
Moderate |
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Maths |
Easy to Moderate |
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Logical Reasoning |
Moderate |
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Communication |
Moderate |
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Higher Education System, Governance, Polity & Admin |
Easy to Moderate |
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People & Environment |
Moderate |
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ICT |
Easy |
|
Overall |
Easy to Moderate |
According to the UGC NET 2026 Computer Science Exam Analysis, the overall difficulty level of Paper 2 was moderate. Questions were distributed across all major units of the syllabus, including Data Structures, Operating Systems, Theory of Computation, Computer Networks, and Artificial Intelligence. The paper included a mix of direct, conceptual, and application-based questions.
Most candidates found the paper manageable, especially those with strong conceptual fundamentals. Time management was reasonable, and the overall structure was comparable to previous UGC NET sessions.
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Unit Name |
Difficulty Level |
|
Discrete Structures and Optimization |
Easy to Moderate |
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Computer System Architecture |
Moderate |
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Programming Languages and Computer Graphics |
Easy |
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Database Management Systems |
Moderate |
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System Software and Operating Systems |
Easy |
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Software Engineering |
Moderate |
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Data Structures and Algorithms |
Easy to Moderate |
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Theory of Computation and Compilers |
Moderate |
|
Overall |
Easy to Moderate |
The UGC NET Computer Science Exam Analysis helps candidates understand the real difficulty level and topic-wise weightage of the paper. It allows aspirants to identify scoring areas and focus on important concepts for future attempts. The analysis also supports better preparation planning, smarter revision strategies, and realistic performance evaluation. Additionally, it helps upcoming candidates align their study approach with current exam trends and question patterns.