After the GATE Mining (MN) 2026 examination, most aspirants search for memory-based questions, paper difficulty analysis, and marks distribution to evaluate their performance. This blog provides a clear overview of GATE Mining 2026 memory-based questions, subject-wise analysis, and a comparative marks distribution for 2024, 2025, and 2026, helping students estimate their expected scores and plan ahead.
Question Paper GATE MN Solution 2026
What Are Memory-Based Questions in GATE?
Memory-based questions are recalled by students immediately after the exam, before the official question paper is released by IIT. These questions help aspirants to:
EKLAVYA GATE MN 2027 Online Course
- Understand the difficulty level of the paper
- Analyze important topics
- Predict expected cut-off marks
- Revise concepts for future attempts
Mining gate 2026 question paper with solutions pdf
Mining GATE 2026 question paper with solutions PDF is highly useful for students preparing for GATE Mining 2026. This PDF includes Mining Engineering GATE questions along with detailed solutions and exam-oriented explanations, helping aspirants understand the question pattern, difficulty level, and important scoring topics. Practicing with the GATE 2026 Mining question paper with solutions PDF improves conceptual clarity and allows effective self-assessment before the actual exam.
GATE Mining 2026 Exam Pattern (Quick Overview)
- Total Marks: 100
- Total Questions: 65
- Sections: General Aptitude (GA): 15 marks, Mining Engineering (MN): 85 marks
- Question Types: MCQ, MSQ, NAT
- Negative Marking: Applicable only for MCQs
GATE Mining 2026: Subject-Wise Marks Distribution
| Subject | Marks |
|---|---|
| General Aptitude | 15 |
| Engineering Mathematics | 13 |
| Rock Mechanics & Ground Control | 10 |
| Mine Development | 8 |
| Mine Surveying | 8 |
| Mine Environment | 7 |
| Mine Machinery | 6 |
| Mine Ventilation | 6 |
| Mine Planning | 6 |
| Mining Methods | 5 |
| System Engineering | 5 |
| Engineering Mechanics | 5 |
| Mine Economics | 4 |
| Geology | 2 |
Insight:
Nearly 38% of the paper comes from GA + Engineering Mathematics + Rock Mechanics, making them high-priority scoring areas.
GATE Mining: Year-Wise Marks Distribution
| Year | Analytical | Logical | Quantitative | Spatial | Verbal | Math | Mine Dev. | Mine Survey | Mining Geology | Engg. Mechanics | Geomechanics | Ground Control | Mining Machinery | Mining Methods | Mine Ventilation | Surface Env. | Underground Hazards | Mine Planning | Mineral Processing | Systems Engg. | Total |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 14 | 7 | 18 | 5 | 28 | 12 | 10 | 7 | 5 | 10 | 3 | 8 | 150 | |
| 2008 | 0 | 0 | 0 | 0 | 0 | 12 | 13 | 12 | 1 | 18 | 3 | 15 | 11 | 6 | 9 | 11 | 10 | 4 | 12 | 150 | |
| 2009 | 0 | 0 | 0 | 0 | 0 | 18 | 3 | 5 | 0 | 3 | 1 | 11 | 13 | 0 | 4 | 7 | 3 | 6 | 6 | 100 | |
| 2010 | 0 | 0 | 9 | 0 | 6 | 17 | 3 | 8 | 0 | 9 | 1 | 7 | 10 | 6 | 4 | 4 | 0 | 2 | 7 | 100 | |
| 2011 | 0 | 4 | 7 | 0 | 4 | 14 | 2 | 4 | 1 | 5 | 4 | 13 | 6 | 11 | 0 | 10 | 7 | 2 | 7 | 100 | |
| 2012 | 0 | 2 | 9 | 0 | 4 | 8 | 1 | 7 | 0 | 7 | 3 | 18 | 7 | 8 | 1 | 6 | 2 | 2 | 7 | 100 | |
| 2013 | 0 | 4 | 5 | 2 | 4 | 12 | 7 | 7 | 1 | 4 | 4 | 13 | 3 | 9 | 1 | 3 | 9 | 0 | 2 | 100 | |
| 2014 | 2 | 2 | 6 | 0 | 3 | 12 | 5 | 6 | 0 | 7 | 3 | 6 | 7 | 9 | 7 | 3 | 0 | 2 | 5 | 100 | |
| 2015 | 0 | 5 | 5 | 2 | 3 | 12 | 9 | 6 | 0 | 6 | 3 | 8 | 5 | 7 | 3 | 4 | 3 | 2 | 5 | 100 | |
| 2016 | 0 | 5 | 6 | 1 | 3 | 8 | 9 | 6 | 1 | 6 | 1 | 11 | 3 | 10 | 1 | 4 | 6 | 5 | 1 | 100 | |
| 2017 | 2 | 3 | 6 | 0 | 4 | 13 | 6 | 6 | 1 | 7 | 5 | 6 | 9 | 4 | 4 | 4 | 2 | 6 | 7 | 100 | |
| 2018 | 0 | 0 | 11 | 2 | 2 | 13 | 5 | 8 | 0 | 2 | 7 | 10 | 5 | 6 | 5 | 4 | 4 | 4 | 6 | 100 | |
| 2019 | 2 | 4 | 4 | 0 | 3 | 14 | 3 | 3 | 2 | 5 | 4 | 10 | 6 | 7 | 4 | 3 | 5 | 2 | 6 | 100 | |
| 2020 | 0 | 4 | 7 | 0 | 4 | 10 | 6 | 8 | 2 | 6 | 2 | 6 | 2 | 6 | 0 | 8 | 9 | 3 | 5 | 100 | |
| 2021 | 0 | 2 | 7 | 3 | 3 | 15 | 5 | 7 | 1 | 10 | 4 | 8 | 3 | 3 | 7 | 2 | 4 | 6 | 5 | 100 | |
| 2022 | 0 | 2 | 7 | 3 | 3 | 13 | 8 | 3 | 1 | 4 | 0 | 10 | 5 | 6 | 0 | 10 | 8 | 2 | 6 | 100 | |
| 2023 | 0 | 2 | 5 | 3 | 4 | 13 | 3 | 7 | 1 | 4 | 6 | 9 | 1 | 8 | 3 | 2 | 3 | 2 | 8 | 99 | |
| 2024 | 2 | 1 | 5 | 4 | 3 | 14 | 6 | 4 | 2 | 6 | 4 | 9 | 7 | 5 | 3 | 7 | 3 | 4 | 4 | 100 | |
| 2025 | 1 | 0 | 10 | 0 | 4 | 10 | 3 | 8 | 3 | 5 | 2 | 10 | 6 | 6 | 6 | 3 | 6 | 3 | 2 | 100 |
GATE Mining 2026: Memory-Based Questions (Subject-Wise Overview)
1. Mine Development & Operations
- Underground mine layouts
- Shaft vs incline numerical problems
- Production cycle calculations
2. Rock Mechanics & Ground Control
- Stress–strain behavior of rocks
- RMR and Q-system concepts
- Ground support design basics
3. Mine Ventilation
- Air quantity calculations
- Fan laws
- Psychrometric relations (formula-based)
4. Mine Surveying
- Levelling errors
- Traverse and correlation
- Basic numerical problems
5. Mining Machinery
- Drilling performance
- Shovel–dumper matching
- Output and efficiency calculations
6. Mine Safety & Legislation
- DGMS rules and regulations
- Accident causation theories
GATE Mining Marks Distribution (2024–2026)
| Year | 0–20 Marks | 21–40 Marks | 41–60 Marks | 61–80 Marks | 81–100 Marks |
|---|---|---|---|---|---|
| 2024 | High | Moderate | Moderate | Low | Very Low |
| 2025 | Moderate | High | Moderate | Low | Very Low |
| 2026 | Moderate | Moderate | High | Moderate | Low |
- 2024: Slightly difficult paper; more students scored below 40
- 2025: Moderate difficulty; majority in the 21–40 range
- 2026: Concept-oriented paper; strong performance seen in the 41–60 range
GATE Mining 2026: Expected Cut-Off (Tentative)
(Subject to change after official results)
- General: 32–35
- OBC/EWS: 28–31
- SC/ST: 22–25
How to Use Memory-Based Questions Effectively
- Focus on concept clarity, not just answers
- Practice previous year questions (2007–2025) from the same topics
- Revise formulas and avoid calculation mistakes
- Analyze mistakes to improve accuracy
Conclusion
The analysis of GATE Mining 2026 memory-based questions and marks distribution trends shows that a strong grasp of fundamentals combined with regular numerical practice is essential for a good score. Once the official paper is released, this analysis can be refined further with verified solutions.
2 Responses
The analysis of memory-based questions and paper difficulty is a huge help for aspirants. Having a clear idea of what to expect in terms of topic coverage definitely helps with focused preparation.