GATE 2026 DA Expected Cut Off: Category-Wise Cut Off and Paper Analysis
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GATE 2026 DA Expected Cut Off: IIT Guwahati has organised the GATE 2026 Data Science & Artificial Intelligence exam. Candidates who appeared in the exam found the paper level moderate. GATE 2026 DA Expected Cut Off marks are decided based on the exam difficulty level and previous year cutoff trends. The expected cutoff marks are provided before the release of the official cutoff. So that candidates can know the expected marks needed to qualify for the GATE DA exam.
GATE 2026 DA Expected Cut Off
GATE 2026 DA Expected Cut Off helps candidates get the competitive insights of the Data Science and Artificial Intelligence exam. The expected cutoff score is around 29.5 to 32 marks, depending on the exam level.
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GATE 2026 DA Expected Cut Off |
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Category |
Expected Cut Off Marks (Out of 100) |
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General (UR) |
29.5 – 32.0 |
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OBC-NCL / EWS |
26.5 – 28.5 |
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SC / ST / PwD |
19.5 – 21.0 |
GATE 2026 Data Science & Artificial Intelligence Subject-Wise Analysis
Candidates can check the GATE 2026 DA subject-wise analysis of the exam. It can help them to know the subject-wise paper level and weightage trends in the Data Science & Artificial Intelligence paper.
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GATE 2026 Data Science & Artificial Intelligence Subject-Wise Analysis |
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Subject |
Difficulty Level |
Key Points |
Weightage & Trends |
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Python & Data Structures |
Easy to Moderate |
Questions were mostly conceptual and directly from class notes. Recursion and nested functions featured. |
Questions matched exactly what was taught. |
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Mathematics |
Moderate to Tough |
Hard-core math questions were present. |
Weightage slightly reduced compared to last year (~30+ marks expected). Slightly easier than last year but still tough; crucial for AI. |
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DBMS |
Easy to Moderate |
Balanced question distribution; SQL queries on tuples and domain relations appeared. |
More questions than last year. Mostly easy questions; some details are uncertain due to limited data. |
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Algorithms |
Moderate (with one tough Q) |
Heavy focus on sorting (50% of algorithm questions), including insertion, bubble, and quicksort; one tough DFS-BFS question. |
Four algorithm questions total; one very difficult question may decide ranks. |
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AI & ML |
Easy to Moderate |
Questions mainly from predicate and first-order logic in discrete math. |
Increased weightage compared to last year; no very difficult questions. |
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Aptitude |
Moderate |
English was largely easy (grammar, analogies). Quant included easy and time-consuming questions. Reasoning had lengthier, condition-based questions. |
Overall moderate level; balanced with math and AI/ML. |
Key Insights of GATE 2026 Data Science & Artificial Intelligence Exam
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The GATE 2026 Data Science & Artificial Intelligence exam was of a moderate difficulty level.
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GATE 2026 DA expected cutoff could be around 29 to 32 marks, depending on the difficulty level.
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The mathematics paper was considered the backbone of the DA exam.
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Quantitative aptitude ranged from easy to moderate.
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Reasoning questions were doable but time-consuming.
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AL & ML emphasise discrete math concepts.