Loading...
Loading...
GATE DA is one of the most discussed yet least documented GATE papers among aspirants, primarily because it is a young paper introduced in 2023 with fewer established resources compared to papers like GATE CS or GATE EC. Candidates often find themselves uncertain about eligibility, preparation approach, syllabus boundaries, career outcomes, and even basic exam mechanics.
This page compiles over 60 of the most frequently asked questions about GATE DA, organized by topic area, with direct and detailed answers. Whether the question is about who can apply, which books to study, what score is needed for IIT Bombay, or whether Statistics graduates are better suited for GATE DA than CS graduates, the answer is here.
For the complete exam guide, visit the GATE DA Complete Guide.
Q1. What is GATE DA?
GATE DA is the GATE paper on Data Science and Artificial Intelligence, paper code DA. It was introduced in GATE 2023 as a standalone paper specifically designed to test competence in data science, machine learning, statistics, linear algebra, calculus, programming, databases, and artificial intelligence. Before its introduction, data science candidates had no dedicated GATE paper and had to appear for GATE CS or GATE MA instead.
Q2. When was GATE DA introduced?
GATE DA was introduced in the GATE 2023 examination cycle. The first set of PYQs available from this paper are from GATE 2024 onwards, accessible at GATE DA 2024 Questions, GATE DA 2025 Questions, and GATE DA 2026 Questions.
Q3. Why was GATE DA introduced?
The Ministry of Education and the IITs recognized that data science, machine learning, and AI had become distinct and rapidly growing engineering disciplines requiring a dedicated assessment pathway. GATE CS, while rigorous, tested subjects like Theory of Computation and Compiler Design that are irrelevant to data scientists. GATE DA was created to provide a paper that validates the specific skills needed in the data science domain.
Q4. Is GATE DA harder than GATE CS?
Neither is universally harder. It depends entirely on the candidate's background. For a candidate with a strong Statistics and Mathematics background, GATE DA may be more natural than GATE CS because the dominant sections (Probability, Statistics, Linear Algebra, Machine Learning) align directly with what they studied. For a pure CS candidate who has never studied statistics formally, GATE DA can be significantly harder due to the mathematical depth required. Both papers have been rated Moderate in their respective recent years.
Q5. Can a candidate appear for both GATE DA and GATE CS in the same year?
Yes, GATE allows candidates to appear for two papers simultaneously if the combination is in the permitted two-paper list published in the official GATE notification each year. Candidates who want to keep both CS program and Data Science program options open often choose this route.
Q6. How many candidates appear for GATE DA each year?
GATE DA is one of the fastest-growing GATE papers by candidate count. While exact numbers vary each year, the number of DA registrations has been increasing significantly since the paper's introduction as more candidates recognize its value for Data Science and AI career pathways.
Q7. Is GATE DA score accepted by all IITs?
Most IITs with M.Tech or MS programs in Data Science, AI, Machine Learning, or related disciplines accept GATE DA. The number of programs accepting GATE DA is growing each year. Candidates should check the admission notification of specific programs at target IITs for the current year's accepted papers.
Q8. Are M.Sc. Statistics graduates eligible for GATE DA?
Yes. M.Sc. Statistics is explicitly listed as an eligible qualifying degree under the M.Sc./M.A./equivalent category. In fact, M.Sc. Statistics graduates are among the most naturally positioned candidates for GATE DA given that Probability and Statistics is one of the highest-weightage sections in the paper.
Q9. Are M.Sc. Mathematics graduates eligible?
Yes. M.Sc. Mathematics is eligible under the same category. The Linear Algebra, Calculus, and Probability sections of GATE DA map closely to standard M.Sc. Mathematics curricula.
Q10. Are MCA graduates eligible for GATE DA?
Yes. MCA (Master of Computer Applications) is explicitly listed as an eligible qualifying degree. MCA graduates typically have strong programming and database foundations that align well with the Programming, DSA, and Database sections.
Q11. Is BCA eligible for GATE DA?
No. BCA (Bachelor of Computer Applications) is a 3-year program and is not listed as an eligible qualifying degree. BCA graduates must complete MCA or another qualifying postgraduate degree before they can apply.
Q12. Can candidates from Mechanical or Civil Engineering backgrounds apply?
Yes. Any B.E./B.Tech graduate regardless of branch is eligible. Engineering branch does not restrict GATE paper choice. However, these candidates will need to self-study all CS and data science-specific topics as their undergraduate curriculum likely did not cover them.
Q13. Is there a minimum CGPA or percentage requirement for GATE DA?
No. There is no minimum marks requirement in the qualifying degree. Any pass (typically 40% or above, or equivalent CGPA) is sufficient for GATE eligibility.
Q14. Can final year students apply?
Yes. Students in the final year of any eligible qualifying program can apply for GATE DA. They must upload a current enrollment certificate or bonafide letter during the application.
Q15. Is there an age limit?
No. GATE DA has no upper age limit. Candidates of any age who meet the qualifying degree criteria can appear.
Q16. Are working professionals eligible?
Yes. There are no restrictions based on employment status or years of experience. Working professionals who hold a qualifying degree are fully eligible.
Q17. Can international candidates apply?
Yes, but only from a limited set of eligible countries: Bangladesh, Nepal, Sri Lanka, Singapore, Ethiopia, and the United Arab Emirates. Candidates from other countries are not eligible.
For full eligibility details, visit the GATE DA Eligibility Criteria page.
Q18. What subjects are covered in GATE DA?
GATE DA covers eight sections: General Aptitude, Probability and Statistics, Linear Algebra, Calculus and Optimization, Programming and Data Structures, Database Management and Warehousing, Machine Learning, and Artificial Intelligence. For the complete topic-by-topic breakdown, visit the GATE DA Syllabus page.
Q19. Which section has the highest weightage in GATE DA?
Machine Learning typically carries the highest weightage (approximately 14 to 20 marks) followed closely by Probability and Statistics (approximately 13 to 17 marks). Together, these two sections account for roughly 27 to 37 marks out of 85 core marks.
Q20. Is deep learning covered in the GATE DA syllabus?
Yes, but at a conceptual and mathematical level. Neural Networks, backpropagation, activation functions, and basic CNNs and RNNs are in the syllabus. Very advanced architectures like Transformers, BERT, GPT, or diffusion models are not currently part of the standard GATE DA syllabus.
Q21. Is Python the primary programming language tested?
Yes. Python is the primary programming language for GATE DA. Questions test Python concepts including data types, list operations, functions, recursion, and basic library usage (NumPy and Pandas at a conceptual level). C programming is also listed in the syllabus at a basic level.
Q22. Is SQL tested in GATE DA?
Yes. SQL is covered under the Database Management and Warehousing section. DDL, DML, DQL (SELECT with JOINs, subqueries, aggregation), GROUP BY, HAVING, and basic views are testable topics.
Q23. Is the GATE DA syllabus the same as GATE CS?
No. They share some overlap in Programming, DSA, and Databases. However, GATE DA replaces large CS-specific sections (Theory of Computation, Compiler Design, Computer Organization, Computer Networks) with Probability and Statistics, Machine Learning, Calculus and Optimization, and AI. They are fundamentally different papers testing different skill sets.
Q24. Has the GATE DA syllabus changed since it was introduced?
Minor additions and clarifications have been made to the ML and AI sections since 2023. The mathematical foundation sections (Probability, Linear Algebra, Calculus) have remained stable. Always verify the current year's syllabus from the official GATE information brochure once released.
Q25. How should the syllabus be tracked during preparation?
The GATE DA Syllabus Tracker on AspirantMitraa provides a topic-by-topic completion tracking system across all eight sections. Marking topics as completed — and separately as PYQ-tested — gives an honest assessment of preparation coverage.
Q26. How many months of preparation are needed for GATE DA?
A minimum of 6 months is recommended for candidates who are starting with some foundational knowledge in relevant subjects. Candidates who need to build from scratch in Statistics, Linear Algebra, or Machine Learning should plan for 10 to 12 months.
Q27. Which section should be studied first?
Most preparation plans recommend starting with Probability and Statistics followed by Linear Algebra because these form the mathematical foundation that Machine Learning topics build upon. Understanding probability and matrix operations deeply makes the ML section significantly easier to absorb.
Q28. What are the best books for GATE DA preparation?
| Section Recommended Book | |
| Probability and Statistics | Introduction to Probability by Bertsekas and Tsitsiklis |
| Linear Algebra | Introduction to Linear Algebra by Gilbert Strang |
| Machine Learning | Pattern Recognition and Machine Learning by Bishop; Hands-On ML by Géron |
| Calculus and Optimization | Mathematics for Machine Learning by Deisenroth et al. |
| Programming and DSA | DSAA in C by Mark Allen Weiss; CLRS (selected chapters) |
| Databases | Database System Concepts by Silberschatz, Korth, and Sudarshan |
| AI | Artificial Intelligence: A Modern Approach by Russell and Norvig |
| General Aptitude | GATE PYQ GA sections (most effective source) |
Q29. Is coaching necessary for GATE DA?
Coaching is not necessary but structured resources help. Many candidates self-study successfully using standard textbooks, the GATE DA Syllabus Tracker for coverage monitoring, PYQs from the GATE DA PYQ bank, and the GATE DA Test Series for mock testing and analytics.
Q30. How should GATE DA PYQs be used?
Given that GATE DA has only 3 years of available PYQs, each question is highly valuable. Solve PYQs topic-by-topic as each subject is completed (to consolidate learning immediately), and then solve year-wise full papers in timed conditions once the complete syllabus is covered. All three years are accessible at the GATE DA PYQ Master Bank.
Q31. Can GATE CS PYQs be used for GATE DA preparation?
Yes, selectively. GATE CS PYQs on Programming, DSA, Databases, Linear Algebra, and Probability (from Engineering Mathematics) are directly applicable to GATE DA. This supplementary practice significantly expands the question pool given the limited GATE DA PYQ history.
Q32. When should full-length mock tests be started?
Full-length mocks should begin when approximately 70 to 80% of the syllabus is covered, typically 3 to 4 months before the exam. Starting too early produces demoralizing scores from uncovered topics rather than useful diagnostic data. The GATE DA Test Series includes both topic-wise tests (start immediately after each subject) and full-length mocks (start in the final 3 to 4 months).
Q33. How many full-length mocks are sufficient?
At minimum 6 to 8 full-length mocks are recommended, each followed by thorough error analysis. Taking more mocks without analysis adds marginal value; taking fewer mocks but analyzing each one deeply is more effective.
Q34. What is the right balance between studying and practicing?
A general guideline is: for every 3 hours of study from textbooks, spend 1 hour solving relevant PYQs. In the final 2 to 3 months, shift to a 1:1 ratio of study/revision and practice/testing. The GATE DA Test Series provides the structured practice side of this balance.
Q35. How should weak areas be identified and fixed?
Take a topic-wise test from the test series after completing any subject. Low accuracy on that test reveals specific gaps. Revisit those topics in the textbook or notes, then re-solve tagged PYQs from the GATE DA PYQ Master Bank to confirm the gap is resolved before moving on.
Q36. What is the total number of questions and marks in GATE DA?
65 questions for 100 marks. General Aptitude contributes 10 questions (15 marks) and the DA Core section contributes 55 questions (85 marks).
Q37. What are the three types of questions in GATE DA?
MCQ (Multiple Choice Questions with 4 options, 1 correct), MSQ (Multiple Select Questions with 4 options, 1 or more correct), and NAT (Numerical Answer Type requiring a typed numerical response).
Q38. Which question types have negative marking?
Only MCQs have negative marking. For 1-mark MCQs: -1/3 for a wrong answer. For 2-mark MCQs: -2/3 for a wrong answer. MSQ and NAT questions have no negative marking.
Q39. Is it beneficial to guess on NAT questions?
Yes. Since NAT questions have no negative marking, attempting them — even with uncertainty — costs nothing and provides a chance of earning marks. An educated estimate is always better than leaving a NAT question blank.
Q40. Can candidates move freely between sections during the exam?
Yes. The GATE CBT interface allows candidates to move between General Aptitude and the DA Core section at any time during the 3-hour window.
Q41. Is a physical calculator allowed in GATE DA?
No. Physical calculators are strictly prohibited. An on-screen virtual calculator is provided within the exam interface throughout the test.
Q42. How long is the GATE DA exam?
3 hours (180 minutes) with no break in between.
Q43. What is the expected GATE DA qualifying cutoff for General category?
Based on available data from 2024 to 2026, the General category qualifying cutoff has ranged from approximately 25 to 31 marks out of 100. The trend shows a gradual upward drift as competition increases. Candidates should target at least 35+ marks as a preparation benchmark to have a comfortable buffer above the qualifying cutoff. Full cutoff data is on the GATE DA Cutoff page.
Q44. What GATE Score is needed for IIT Bombay M.Tech Data Science?
Approximately 820 to 870+ for General category. This corresponds to roughly 67 to 75+ raw marks out of 100.
Q45. Which IITs offer M.Tech programs accepting GATE DA?
IIT Bombay, IIT Delhi, IIT Madras, IIT Kanpur, IIT Roorkee, IIT Hyderabad, IIT Kharagpur, IIT Guwahati, IIT BHU Varanasi, IIT Jodhpur, and several newer IITs. The number is growing each year as new AI and Data Science programs are launched.
Q46. Is GATE DA accepted for NIT admissions?
Yes. NIT M.Tech admissions are handled through CCMT (Centralized Counselling for M.Tech). NITs with M.Tech programs in CS, Data Science, or AI accept GATE DA scores through this process. Top NITs typically require a GATE Score of 650 to 760+ for General category.
Q47. What GATE Score is needed for NIT Trichy or NIT Warangal?
Approximately 680 to 760+ for General category in Data Science or CS programs at top NITs.
Q48. Are there PSU jobs through GATE DA?
Yes, and the number is growing. Organizations like DRDO, BARC, ISRO, IOCL, ONGC, NTPC, and others are opening data science and analytics roles that accept GATE DA scores. PSU cutoffs are typically higher than academic admission cutoffs — usually 680 to 850+ for General category depending on the organization. Monitor current PSU notifications through the GATE DA Information page.
Q49. How long is the GATE DA score valid?
3 years from the date of result declaration. A score from any year within this window can be used for admissions or PSU applications, subject to the specific institution's or organization's policy on which year's score they accept.
Q50. If a candidate qualified GATE DA two years ago, can that score still be used?
Yes, if it is within the 3-year validity window. If qualified 2 years ago, the score is still valid for the current year's admissions cycle and PSU applications.
Q51. When is the GATE DA result declared?
In March each year, approximately 4 to 6 weeks after the exam. For result interpretation and post-result action steps, visit the GATE DA Result page.
Q52. What is the difference between GATE marks and GATE Score?
GATE Marks is the raw score out of 100 based on the marking scheme. GATE Score is a normalized value out of 1000 that benchmarks performance relative to all candidates and top scorers. Qualifying cutoffs are in marks; institute and PSU cutoffs are in GATE Score.
Q53. How is GATE Score calculated?
Using the formula: Score = ((Mt - Mq) / (Mtop - Mq)) x (Smax - Sq) + Sq, where Mt is the candidate's marks, Mq is the qualifying cutoff for the category, Mtop is the average marks of the top 0.1% candidates, Smax is 1000, and Sq is 350.
Q54. What does the GATE DA scorecard contain?
Candidate name and photograph, paper name and code (DA), raw marks (out of 100), GATE Score (out of 1000), qualifying status, All India Rank (AIR), category rank, and score validity dates.
Q55. For how long can the scorecard be downloaded?
The scorecard is available for download from the official GOAPS portal for 3 years from the result date. After this period, it is no longer available through the portal. Candidates should download and save it immediately after it becomes available.
Q56. When does the GATE DA application open?
Every September, the GOAPS portal opens for GATE applications including GATE DA. The deadline is typically in late October. For step-by-step application guidance, visit the GATE DA Application Process page.
Q57. What is the GATE DA application fee?
Rs. 1,800 for General, OBC-NCL, and EWS male candidates. Rs. 900 for SC, ST, PwD candidates of any gender and female candidates of all categories.
Q58. Can the application fee be refunded?
No. The application fee is non-refundable under all circumstances, including if the application is rejected or if the candidate does not appear for the exam.
Q59. What documents are needed for the application?
A scanned photograph (white background, JPEG), scanned signature (black/blue ink on white paper, JPEG), qualifying degree certificate or enrollment certificate for final year students, and category certificate if applicable (SC/ST caste certificate, OBC-NCL certificate of current year, EWS certificate of current financial year, or PwD certificate).
Q60. What if an error is found after submitting the application?
A correction window opens every November for a limited period. During this window, certain fields can be edited including exam city preferences, photograph, signature, and in some cases personal details. After the correction window closes, no changes are permitted.
Q61. What should be carried to the GATE DA exam center?
The printed admit card on A4 paper, original valid photo ID (Aadhaar, PAN, Passport, Voter ID, or Driving License), and at least one passport-size photograph. Full exam day guidance is available on the GATE DA Exam Day Guidance page.
Q62. What time should candidates arrive at the test center?
At least 60 minutes before the exam start time. The center gates typically close 30 minutes before the start. Late arrival results in denial of entry with no exceptions.
Q63. Is a physical calculator allowed inside the exam hall?
No. Physical calculators are strictly banned. The exam interface provides an on-screen virtual calculator.
Q64. Are mobile phones allowed inside the exam hall?
No. Mobile phones, smartwatches, and all other electronic devices are strictly prohibited. They should be left in the vehicle or at home, not at the test center.
Q65. Should a CS graduate choose GATE DA or GATE CS?
Choose GATE DA if the target is M.Tech in Data Science, AI, or ML and the candidate is comfortable investing in Statistics and Linear Algebra beyond the standard CS curriculum. Choose GATE CS if the target is traditional CS programs or PSU recruitment, where GATE CS has a larger and more established acceptance base. Appearing for both, if the combination is permitted, gives the most flexibility.
Q66. Is GATE DA useful for research careers?
Yes. Many IIT research groups in Machine Learning, Data Science, Statistical Learning, and AI accept GATE DA scores for research admissions. Additionally, a strong GATE DA score can strengthen applications for DST, DBT, and other research fellowships that require GATE qualification.
Q67. Does a GATE DA score help for job placements in data science?
While GATE is primarily used for academic admissions and PSU recruitment, a strong GATE DA score demonstrates verified, standardized competency in data science fundamentals. Some organizations recruiting for data science roles consider GATE qualification as a positive signal alongside technical interviews.
GATE DA is an interdisciplinary paper introduced in 2023 covering Data Science, Statistics, Machine Learning, Linear Algebra, Calculus, Programming, and AI. It is open to B.E./B.Tech, B.S. (4-year), M.Sc., and MCA graduates with no age limit and no attempt restriction. M.Sc. Statistics, M.Sc. Mathematics, and MCA candidates are among the most naturally suited backgrounds.
Preparation requires strong foundations in Probability, Linear Algebra, and Machine Learning, regular PYQ practice from the GATE DA PYQ Master Bank, syllabus tracking through the GATE DA Syllabus Tracker, and consistent mock testing through the GATE DA Test Series.
Related Pages: