{"id":10153,"date":"2026-09-30T23:54:40","date_gmt":"2026-09-30T23:54:40","guid":{"rendered":"https:\/\/iilm.edu\/blog\/?p=10153"},"modified":"2026-10-03T18:45:08","modified_gmt":"2026-10-03T18:45:08","slug":"gate-da-data-science-ai-paper-explained-who-should-take-it","status":"publish","type":"post","link":"https:\/\/iilm.edu\/blog\/gate-da-data-science-ai-paper-explained-who-should-take-it\/","title":{"rendered":"GATE DA Explained: The New Data Science and AI Paper, and Who Should Take It"},"content":{"rendered":"

Quick Answer:<\/b> GATE DA stands for Data Science and Artificial Intelligence. It is a paper that the Indian Institute of Science, Bangalore added to the Graduate Aptitude Test in Engineering for the first time in 2024. It is a three hour, computer based test with 65 questions. It covers probability and statistics, linear algebra, calculus and optimisation, programming and data structures, database management, machine learning, and artificial intelligence. A GATE DA score gets you into M.Tech and other postgraduate programmes in data science and AI at IITs, IISc, and other participating universities. More public sector companies are also starting to use it for hiring. The paper suits final year students and graduates from computer science, electronics, mathematics, statistics, or physics who want a formal, nationally recognised credential in applied AI and data science, and not just a portfolio of self taught projects.<\/span><\/p>\n

In under two years, GATE DA has become one of the fastest growing papers in the whole GATE exam by candidate volume. In its first year, 2024, the paper drew 52,493 registrations and 39,210 candidates who actually showed up, according to<\/span> GATE statistics reported by Careers360<\/span><\/a>. The next year, 2025, the number of candidates who appeared for DA rose to 57,054, based on data compiled by<\/span> Physics Wallah’s GATE exam coverage<\/span><\/a>. That is a jump of roughly 45 percent in one year, at a time when many long running GATE papers grew only a little or stayed flat. That is the short version of why this paper matters, and why it deserves a proper explanation rather than a footnote next to the main GATE exam.<\/span><\/p>\n

What Is GATE DA?<\/b><\/h2>\n

GATE, the Graduate Aptitude Test in Engineering, has run since 1980. It has traditionally focused on core engineering subjects such as Computer Science, Electronics and Communication Engineering, and Mechanical Engineering. As artificial intelligence and data science grew more important in both classrooms and industry, the Indian Institute of Science, Bangalore introduced a new paper called Data Science and Artificial Intelligence, with the paper code DA, in GATE 2024, according to<\/span> Amity Online’s GATE exam coverage<\/span><\/a>. The exam rotates its conducting authority each year among IITs and IISc. GATE 2026 is being conducted by IIT Guwahati.<\/span><\/p>\n

The DA paper checks how well a candidate understands core AI and data science ideas, including statistical methods, machine learning algorithms, and computational techniques. This is different from testing one narrow slice of a single engineering field, which is how many older GATE papers work. That also makes DA different from the Computer Science (CS) paper, which candidates with a CS undergraduate background tend to dominate. DA is built to be open to strong candidates from mathematics, statistics, physics, and electronics backgrounds too.<\/span><\/p>\n

What Is the GATE DA 2026 Exam Pattern and Schedule?<\/b><\/h2>\n

According to<\/span> Physics Wallah’s GATE DA exam pattern coverage<\/span><\/a>, the exam is held in Computer Based Test (CBT) mode and runs for three hours, with 65 questions worth 100 marks in total. GATE 2026 overall was held across February 7, 8, 14, and 15, 2026, and the DA paper was scheduled specifically for February 15, 2026, with results announced on March 19, 2026. This is based on reporting from Amity Online and Careers360’s GATE 2026 result coverage.<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n\n
Detail<\/b><\/td>\nGATE DA 2026<\/b><\/td>\n<\/tr>\n
Conducting authority<\/span><\/td>\nIIT Guwahati<\/span><\/td>\n<\/tr>\n
Exam mode<\/span><\/td>\nComputer Based Test (CBT)<\/span><\/td>\n<\/tr>\n
Duration<\/span><\/td>\n3 hours<\/span><\/td>\n<\/tr>\n
Number of questions<\/span><\/td>\n65<\/span><\/td>\n<\/tr>\n
Total marks<\/span><\/td>\n100<\/span><\/td>\n<\/tr>\n
DA specific exam date<\/span><\/td>\nFebruary 15, 2026<\/span><\/td>\n<\/tr>\n
Result declared<\/span><\/td>\nMarch 19, 2026<\/span><\/td>\n<\/tr>\n
Score validity<\/span><\/td>\n3 years from result declaration, standard across all GATE papers<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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Source: Physics Wallah GATE DA exam pattern coverage; Amity Online GATE 2026 Data Science and AI coverage; Careers360 GATE 2026 result reporting. Candidates should always check the exact dates for the current admission cycle on the official GATE website, since conducting institutes and schedules change every year.<\/span><\/i><\/p>\n

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Why Do the GATE DA Growth Numbers Matter?<\/b><\/h2>\n

A brand new exam paper that pulls in tens of thousands of candidates within its first two years is unusual. Most new GATE subjects have historically started small and grown slowly over several admission cycles. DA did not follow that pattern.<\/span><\/p>\n\n\n\n\n\n\n\n\n
Metric<\/b><\/td>\n2024 (Launch Year)<\/b><\/td>\n2025<\/b><\/td>\nWhat Changed<\/b><\/td>\n<\/tr>\n
DA candidates registered<\/span><\/td>\n52,493<\/span><\/td>\nNot separately confirmed in available reporting<\/span><\/td>\nNew paper, immediate five figure registration<\/span><\/td>\n<\/tr>\n
DA candidates appeared<\/span><\/td>\n39,210<\/span><\/td>\n57,054<\/span><\/td>\nAbout 45 percent year on year growth in appeared candidates<\/span><\/td>\n<\/tr>\n
DA candidates who qualified, 2024<\/span><\/td>\n8,378<\/span><\/td>\nNot separately confirmed in available reporting<\/span><\/td>\nA qualifying rate of roughly 21 percent in the debut year<\/span><\/td>\n<\/tr>\n
Overall GATE candidates appeared, all papers<\/span><\/td>\n653,292 (2024)<\/span><\/td>\n747,319 (2025)<\/span><\/td>\nTotal GATE appeared candidates grew about 14 percent<\/span><\/td>\n<\/tr>\n
Computer Science (CS) paper appeared, for comparison<\/span><\/td>\n123,967<\/span><\/td>\n170,825<\/span><\/td>\nCS remains the single largest paper by volume, but its growth rate was similar to, not faster than, DA’s<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Source: Careers360,<\/span><\/i> “How many candidates applied for GATE 2025”<\/span><\/i><\/a>, citing IIT Roorkee statistical data; Careers360,<\/span><\/i> “6.5 lakh students appear for GATE 2024, 1.29 lakh clear exam”<\/span><\/i><\/a>; Physics Wallah,<\/span><\/i> “How many students appear for GATE exam”<\/span><\/i><\/a>, citing GATE 2025 scorecards published by the conducting institute.<\/span><\/i><\/p>\n

 <\/p>\n

Read this table carefully and one thing stands out: DA’s growth in appeared candidates outpaced the growth of the entire GATE candidate pool by a wide margin, and it did this from a standing start, not from an already established base. A brand new subject matching or beating the growth rate of decades old established papers is the clearest sign that demand for a formal, standardised data science and AI credential in India has been building for years. It simply needed somewhere to go once GATE created this specific paper.<\/span><\/p>\n

What Does the GATE DA Syllabus Actually Cover?<\/b><\/h2>\n

The GATE DA syllabus is organised into seven core sections, according to a detailed breakdown published by IMS India’s GATE coverage, along with a General Aptitude section that is common to all GATE papers.<\/span><\/p>\n\n\n\n\n\n\n\n\n\n\n
Syllabus Section<\/b><\/td>\nCore Topics<\/b><\/td>\n<\/tr>\n
Probability and Statistics<\/span><\/td>\nPermutations and combinations, Bayes’ theorem, probability distributions, hypothesis testing<\/span><\/td>\n<\/tr>\n
Linear Algebra<\/span><\/td>\nMatrix algebra, eigenvalues and eigenvectors, vector spaces, the mathematical backbone of most ML algorithms<\/span><\/td>\n<\/tr>\n
Calculus and Optimisation<\/span><\/td>\nDifferentiation, gradient based methods, convex optimisation, directly relevant to how neural networks are trained<\/span><\/td>\n<\/tr>\n
Programming, Data Structures, and Algorithms<\/span><\/td>\nCore computer science fundamentals shared with other engineering GATE papers<\/span><\/td>\n<\/tr>\n
Database Management and Warehousing<\/span><\/td>\nRelational databases, data warehousing concepts, and querying, relevant to real world data pipelines<\/span><\/td>\n<\/tr>\n
Machine Learning<\/span><\/td>\nSupervised and unsupervised learning, model evaluation, classical ML algorithms<\/span><\/td>\n<\/tr>\n
Artificial Intelligence<\/span><\/td>\nSearch, reasoning, and AI system design concepts distinct from applied machine learning<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n

Source: IMS India, “GATE Data Science and Artificial Intelligence (DA) Syllabus 2026.” The full official syllabus PDF is published on the conducting institute’s website each cycle and should be treated as the authoritative source over any third party summary, including this one.<\/span><\/i><\/p>\n

It helps to compare this structure against a typical CSE curriculum. GATE DA is not simply the machine learning chapters of a standard computer science degree. Roughly half the syllabus, that is Probability and Statistics, Linear Algebra, and Calculus and Optimisation, is applied mathematics that a student from a strong mathematics, statistics, or physics background may find more familiar than a pure CS graduate would. This is the structural reason DA is genuinely more open across academic backgrounds than most other GATE papers.<\/span><\/p>\n

Who Is Eligible for GATE DA, and Who Should Actually Take It?<\/b><\/h2>\n

Eligibility reporting on GATE DA shows some variation depending on the source and exactly what it is describing: the right to sit the exam itself, versus the requirements a specific receiving institute sets for using the score.<\/span> Amity Online’s coverage<\/span><\/a> states that students in their final year of an undergraduate programme, or those who have already completed a degree in any stream, are eligible to apply for GATE DA. A separate breakdown from<\/span> PW Live’s GATE coverage<\/span><\/a> notes that candidates typically hold a degree in computer science, electronics and communication, electrical engineering, mathematics, statistics, or physics. This reflects the backgrounds that make the syllabus manageable, rather than a hard eligibility bar set by the exam itself.<\/span><\/p>\n

The practical takeaway is this: the exam is formally open broadly, but doing well in practice favours candidates from the specific quantitative backgrounds the syllabus draws on. Students from unrelated fields with no exposure to linear algebra, probability, or programming are unlikely to score competitively, no matter what the formal eligibility rules allow.<\/span><\/p>\n

This paper tends to suit:<\/span><\/p>\n