Can You Crack GATE DA in 3 Months?
It depends on where you start. GATE DA 2027 has 65 questions worth 100 marks in 3 hours: 10 General Aptitude questions worth 15 marks and 55 subject questions worth 85 marks (GATE 2027 Question Paper Pattern). The syllabus is fixed and finite (official DA syllabus PDF), so 90 focused days can cover it.
| Where you are today | What 90 days can realistically do | Daily study (our recommendation) |
|---|---|---|
| Starting from zero | Cover all seven subjects at exam depth, with the most time on the four highest-mark subjects. Expect your first mocks to be low. That is normal. | 6–7 hours |
| Covered part of the syllabus | Finish the remaining subjects in the first 5–6 weeks, then switch to PYQs and mocks early. | 5–6 hours |
| Syllabus done, revising | Compress learning to about 4 weeks of revision plus PYQs, and take 10 or more full mocks. | 4–5 hours |
No plan can promise a rank. What a 90-day plan can do is make sure every remaining day goes to the topics that carry marks.
How Many Days Are Left?
The official GATE 2027 exams run on 6–7, 13–14 and 20–21 February 2027, and results are due on 19 March 2027 (GATE 2027 important dates). The date of the DA paper itself has not been announced yet. This plan counts to 6 February, the earliest possible day, so you are never caught short. If your DA paper falls later, use the extra days for more mocks. Exam city allotment is scheduled for 4 January 2027, and the admit card date has not been announced yet. Registration for GATE 2027 has closed, so this plan assumes you have already applied.
Subject Priority: Where the Marks Have Been
The official pattern does not publish marks for individual DA subjects. So we counted the marks each subject carried in the three official GATE DA papers held so far (2024, 2025 and 2026) and used that to set the study order and the days for each subject:
| Subject | 2024 | 2025 | 2026 | Avg marks | Days in this plan |
|---|---|---|---|---|---|
| Probability & Statistics | 15 | 19 | 19 | 17.7 | 12 |
| Programming, Data Structures & Algorithms | 20 | 14 | 14 | 16.0 | 12 |
| Machine Learning | 14 | 14 | 13 | 13.7 | 13 |
| DBMS & Warehousing | 7 | 11 | 18 | 12.0 | 7 |
| Linear Algebra | 11 | 12 | 8 | 10.3 | 8 |
| Artificial Intelligence | 10 | 6 | 9 | 8.3 | 6 |
| Calculus & Optimization | 8 | 9 | 4 | 7.0 | 4 |
| General Aptitude | 15 | 15 | 15 | 15.0 | 30 min daily |
| Total | 100 | 100 | 100 | 100 | 62 + GA |
The marks are The ML Hub's own count from the official papers, as tagged on Success Tracker's GATE DA PYQ archive. They are not an official split. Three papers is a small sample and the swings are large (DBMS & Warehousing went from 7 to 18 marks), so this plan covers every subject. It just gives the most days to the subjects that have carried the most marks. DBMS gets fewer days than its average suggests because SQL, relational algebra and warehousing take less time to learn per mark than ML or probability. Linear Algebra and Calculus come early because ML builds on them.
The 90-Day GATE DA Timetable (5 November to 4 February)
Day 1 is 5 November 2026 and Day 92 is 4 February 2027, which leaves 5 February as a rest day before the first exam day. Each learning week follows one rule: learn a topic, then solve its past questions the same day.
| Days | Dates | Focus | Weekly target |
|---|---|---|---|
| 1–12 | 5 – 16 Nov | Probability & Statistics | Counting, Bayes, random variables and distributions, conditional expectation, CLT, confidence intervals, z/t/chi-squared tests. Solve every P&S PYQ. |
| 13–20 | 17 – 24 Nov | Linear Algebra | Vector spaces, rank and nullity, systems of equations, eigenvalues, projections, LU and SVD, quadratic forms. |
| 21–24 | 25 – 28 Nov | Calculus & Optimization | Limits, continuity, differentiability, Taylor series, maxima and minima, single-variable optimization. |
| 25–36 | 29 Nov – 10 Dec | Programming, DSA (Python) | Programming in Python, stacks, queues, linked lists, trees, hash tables, linear and binary search, basic sorts, mergesort and quicksort, graph traversals and shortest paths. |
| 37–49 | 11 – 23 Dec | Machine Learning | Linear, ridge and logistic regression, k-NN, Naive Bayes, LDA, SVM, decision trees, bias-variance, cross-validation, multi-layer perceptron and feed-forward networks, k-means, k-medoid and hierarchical clustering, PCA. |
| 50–56 | 24 – 30 Dec | DBMS & Warehousing | ER model, relational algebra, tuple calculus, SQL, integrity constraints, normal forms, file organization and indexing, data transformation, data warehouse modelling. |
| 57–62 | 31 Dec – 5 Jan | Artificial Intelligence | Informed, uninformed and adversarial search, propositional and predicate logic, conditional independence, exact inference by variable elimination, approximate inference by sampling. |
| 63–69 | 6 – 12 Jan | Past papers | Take the official 2024, 2025 and 2026 DA papers as timed 3-hour tests, then review every mistake. |
| 70–92 | 13 Jan – 4 Feb | Mocks + revision | 2–3 full-length mocks a week, one revision cycle of all subjects, and a final pass over your error log and formula sheets. Keep the last 2 days light. |
The topic lists follow the official GATE 2027 DA syllabus. Check it for the exact wording. Our GATE DA syllabus guide breaks every line down.
A Daily Template
| Block | Learning days (1–62) | Mock days (70–92) |
|---|---|---|
| Block 1 (2–2.5 h) | Concepts for today's topic | Full-length mock (3 h) |
| Block 2 (2–2.5 h) | PYQs and practice problems on the same topic | Mock analysis: every wrong and skipped question |
| Block 3 (1 h) | Revise the previous days' notes and formulas | Revise the weakest topic from the error log |
| Block 4 (30 min) | General Aptitude | General Aptitude |
PYQ Strategy: Use All Three DA Papers
GATE DA has only been held three times, so the past questions are few. Every one is worth solving. There are 195 questions across 2024, 2025 and 2026 (65 per paper). Solve them in two passes:
- Topic-wise, during learning (Days 1–62): after each topic, solve its past questions from Success Tracker's subject pages: Probability & Statistics, Linear Algebra, Calculus & Optimization, Programming, DSA, Machine Learning, DBMS & Warehousing, Artificial Intelligence and General Aptitude.
- Full papers, timed (Days 63–69): take the 2024, 2025 and 2026 papers as 3-hour tests. You will have seen many of the questions already. The goal now is pacing and choosing which questions to attempt. The official papers and answer keys are on the GATE 2027 download page.
Mock Test Strategy
Mocks are where the marks are won in the final month. In the last 23 days, take 2–3 full-length mocks a week under real conditions: 3 hours in one sitting, on a screen, with no notes.
- Analyse longer than you test. Spend at least as long reviewing a mock as taking it.
- Log every error by type: concept gap, calculation slip, misread question, or ran out of time. Concept gaps go back into revision. Slips and misreads need slower first reads.
- Know the negative marking. A wrong 1-mark MCQ costs 1/3 mark and a wrong 2-mark MCQ costs 2/3 mark. MSQ and NAT questions have no negative marking and no partial credit (official pattern). Guess on MSQ and NAT only when you can narrow the answer. Skip MCQs you can't eliminate.
- Track the trend, not one score. Early mocks will be low. What matters is steady improvement. See how raw marks convert to a GATE score to set a realistic target.
Common Mistakes in the Last 3 Months
- Watching lectures without practising. Every concept session should end with past questions on the same topic.
- Skipping revision. Without a weekly revision block, probability formulas and linear algebra results fade by January.
- Leaving General Aptitude for the end. It is 15 marks in every paper and improves with daily practice.
- Dropping a subject completely. Subject marks have swung a lot between papers (DBMS went from 7 to 18), so cover every subject at least at PYQ level.
- Starting mocks too late. Keep the final 23 days protected for mocks and revision.
Free Resources
- Official GATE 2027 DA syllabus (PDF) and General Aptitude syllabus (PDF), IIT Madras
- Official previous papers and answer keys, IIT Madras
- Success Tracker GATE DA PYQs: every 2024–2026 question, topic-wise, with solutions
- Our subject guides: Probability & Statistics, Linear Algebra, Calculus & Optimization, Python & DSA, Machine Learning, DBMS & Warehousing, Artificial Intelligence and General Aptitude
The ML Hub's GATE DA course and test series follow the same subject order, with full-length mocks for the final month.
Explore the GATE DA Course → | View the Test Series →
FAQs
Can I start GATE DA preparation from zero with 3 months left?
Yes, if you can give 6–7 hours a day. Follow the timetable above in order, spend the most time on Probability & Statistics, Programming & DSA and Machine Learning, and keep the final 23 days for mocks. Expect your first mocks to be low.
How many hours a day should I study for GATE DA in the last 3 months?
We recommend 6–7 hours a day if you are starting from zero, 5–6 if you have covered part of the syllabus, and 4–5 if you are only revising. Consistency matters more than one long day a week.
Which subjects should I prioritise for GATE DA 2027?
No official subject split exists. In GATE DA 2024–2026, Probability & Statistics averaged 17.7 marks, Programming & DSA 16.0, Machine Learning 13.7 and DBMS & Warehousing 12.0 by our count, so start there. Then cover Linear Algebra, AI and Calculus. Practise General Aptitude daily, since it is 15 marks in every paper.
Should I skip any GATE DA subject?
We don't recommend skipping any. Subject marks have changed a lot between papers. DBMS & Warehousing carried 7 marks in 2024 and 18 in 2026. At minimum, solve every past question in every subject.
When is the GATE DA 2027 exam?
GATE 2027 exams are on 6–7, 13–14 and 20–21 February 2027, as per the official dates. The date of the DA paper itself has not been announced yet. Results are due on 19 March 2027.
Is there negative marking in GATE DA?
Only for MCQs: 1/3 mark for a wrong 1-mark MCQ and 2/3 mark for a wrong 2-mark MCQ. MSQ and NAT questions have no negative marking, as per the official pattern.
Related Reading
- How to Prepare for GATE DA in 8 Months: the longer plan, if you're starting for GATE 2028
- GATE DA Syllabus 2027: every syllabus line and the marks table
- GATE DA Marks vs Score: set a realistic target
- GATE DA Exam Day Strategy: what to do in the 3 hours
Sources
- GATE 2027 Important Dates, IIT Madras
- GATE 2027 Question Paper Pattern, IIT Madras
- GATE 2027 Data Science & Artificial Intelligence (DA) syllabus (PDF), IIT Madras
- GATE 2027 General Aptitude syllabus (PDF), IIT Madras
- GATE 2027 Download page (previous question papers and answer keys), IIT Madras
- Success Tracker GATE DA PYQ archive (source of The ML Hub's subject-wise marks count)