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GATE DA / PREPARATION ON MYNDAQ

From data to understanding. From practice to precision.GATE DA preparation online

Prepare for GATE Data Science and Artificial Intelligence with a connected view of mathematics, programming and modelling. Practise explaining why a method fits the problem.

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One free mock for one eligible exam per account · Sign-in required · No card

Baseline source review · ↗
Conceptual GATE DA preparation illustration: data-science probability distributions as translucent teal glass waves, pearl geometric matrices and a precise copper learning curve
GATE DAMyndaq · AI illustration
22 chapters66 modules2,897 practice itemsYOUR RESOURCE LIBRARY ↗

EXAM ESSENTIALS

Understand the exam before you plan.

01Eligibility
Students in the 3rd or higher year of any undergraduate degree, or holders of any government-approved degree; no age limit
02Format
Computer-based · 65 questions · 100 marks · General Aptitude 15 + DA subject 85 · MCQ, MSQ and NAT items (1 and 2 marks)
03Duration
3 hours
04Negative marking
MCQ only: −1/3 for a wrong 1-mark item, −2/3 for a wrong 2-mark item; none for MSQ or NAT
Baseline source review · 2026-09-05 ↗

YOUR PREPARATION PRIORITIES

Give each session a purpose.

Illustration of two adult Indian data-science students examining a large printed scatter plot without labels and a geometric probability model at a university study desk, one explaining a pattern, plum and teal room accents, warm afternoon window light, no legible screens, cinematic editorial photograph..
PUT YOUR LEARNING IN CONTEXTFind the pattern behind the data.AI-generated illustration
01

Ground the model in mathematics

Work through probability, statistics, linear algebra and calculus with their modelling purpose in view. Check dimensions and assumptions as you go.

02

Trace the computation

Practise reading a procedure, following its intermediate values and interpreting the result. A correct implementation starts with a clear model of the task.

03

Compare learning methods

Distinguish what an algorithm learns, what it assumes and how it is evaluated. Use small examples to understand the behaviour behind the terminology.

INSIDE MYNDAQ

Understand the question. Build the method.

Read the explanation, ask the AI tutor for help and revisit the concept behind the mistake. Course counts below come from the live catalogue.

Probability & StatisticsLinear AlgebraMachine LearningAI
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Actual Myndaq course screen. Select the image to enlarge it.
Actual Myndaq course screen. Select the image to enlarge it.

YOUR PRACTICE ROUTINE

Turn the next step into a habit.

  1. 01

    Establish your starting point

    Start with probability, linear algebra and programming questions to identify the foundation that limits your modelling work. Record the assumption you missed in each solution.

  2. 02

    Practise the difficult distinction

    Link a mathematical idea to a computation or model. Use a small example to check what the method predicts and how its behaviour changes when an assumption changes.

  3. 03

    Review before repeating

    Review a mixed practice set by the type of reasoning required. Work again on one weak relationship rather than immediately attempting another complete set.

YOUR RESOURCE LIBRARY

Find the guide you need next.

01 / GATE DA

GATE DA Syllabus (Official PDF) - Sections and Strategy

Read the guide →02 / GATE DA

GATE Exam Dates - How the Registration, Exam and Result Calendar Works

Read the guide →03 / GATE DA

GATE Eligibility, Application Fee and Registration - Who Can Apply, What It Costs and How to Fill GOAPS

Read the guide →04 / GATE DA

GATE DA Previous Year Questions and Paper Pattern - Official Papers, Marking and 12 Worked Practice Questions

Read the guide →05 / GATE DA

GATE 2027 Preparation - A Study Guide for Six Major Papers

Read the guide →06 / GATE DA

GATE CS vs GATE DA - Which Paper Should You Choose?

Read the guide →07 / GATE DA

GATE Exam Pattern - MCQ, MSQ, NAT and the Negative-Marking Maths

Read the guide →08 / GATE DA

GATE NAT Questions and the Virtual Calculator - A Working Strategy

Read the guide →09 / GATE DA

GATE Score vs Marks - Normalization and the Score Formula Explained

Read the guide →

YOUR NEXT STEP

Start with a clear purpose.

Build a preparation routine for GATE DA. Use focused practice, explanations and the AI tutor to understand what needs your attention next.

Sample questions

Try 5 real GATE DA questions

Taken from the 2,897-item GATE DA bank on Myndaq. Work them here; sign in (Google or email link, no card) to check each answer and have the AI tutor explain why the other options are wrong.

  1. Question 1 · easy · Uniform Distribution

    For X ~ Uniform[0, 10], what is P(X ≤ 3)?

    • 3
    • 0.7
    • 0.1
    • 0.3
    Check your answer with the AI tutor →
  2. Question 2 · easy · Orthogonal Matrix

    Let Q be a 3×3 orthogonal matrix. Which of the following must be true?

    • Q⁻¹ = Q and det(Q) = 1
    • Q⁻¹ = −Qᵀ and det(Q) = 0
    • Q⁻¹ = Qᵀ and det(Q) = 0
    • Q⁻¹ = Qᵀ and det(Q) = ±1
    Check your answer with the AI tutor →
  3. Question 3 · easy · Stability

    Why is stability important when sorting records?

    • It preserves the relative order of records with equal keys, which matters for multi-key sorting.
    • It ensures the algorithm performs no unnecessary swaps.
    • It guarantees the algorithm runs in O(n log n) time.
    • It reduces the extra space needed to O(1).
    Check your answer with the AI tutor →
  4. Question 4 · hard · Elimination Order · Treewidth

    Which of the following best explains why the choice of elimination order is critical for variable elimination, even though every order yields the same final answer?

    • Different orders can produce different posterior probabilities due to floating-point error accumulation, which is the main concern.
    • Different orders induce different treewidths of the elimination-induced graph, exponentially changing the size of the largest intermediate factor.
    • Different orders only matter when evidence is present; without evidence, all orders cost the same.
    • Different orders change the conditional independence structure of the network, altering which factors are needed.
    Check your answer with the AI tutor →
  5. Question 5 · easy · Sample Space · Classical Probability

    Two fair coins are tossed simultaneously. What is the probability of getting exactly one head?

    • 3/4
    • 1/3
    • 1/4
    • 1/2
    Check your answer with the AI tutor →

THE NEXT STEP IN YOUR PREPARATION

Your GATE DA resource hub.

Practical tools, detailed guides and related courses — find what you need for your next session.

CONSIDERING YOUR OPTIONS?

Explore other GATE.

Compare the preparation paths before choosing your next course.

THE FACTS BEHIND THE TEST

Official details, clearly explained.

GATE DA is the Data Science and Artificial Intelligence paper of the Graduate Aptitude Test in Engineering, introduced in 2024 for admission to M.Tech and PhD programmes in AI, ML and data science. GATE is conducted jointly by IISc and the seven older IITs on behalf of the Ministry of Education; the 2027 edition is organised by IIT Madras.

Conducting body
IISc and the seven older IITs on behalf of NCB-GATE, MoE; GATE 2027 organised by IIT Madras
OFFICIAL SOURCE GATE 2027 — IIT Madras
Eligibility
Students in the 3rd or higher year of any undergraduate degree, or holders of any government-approved degree; no age limit
OFFICIAL SOURCE GATE 2026 — Eligibility criteria
Format
Computer-based · 65 questions · 100 marks · General Aptitude 15 + DA subject 85 · MCQ, MSQ and NAT items (1 and 2 marks)
OFFICIAL SOURCE GATE 2026 — Question paper pattern
Duration
3 hours
OFFICIAL SOURCE GATE 2026 — Question paper pattern
Negative marking
MCQ only: −1/3 for a wrong 1-mark item, −2/3 for a wrong 2-mark item; none for MSQ or NAT
OFFICIAL SOURCE GATE 2026 — Question paper pattern
DA syllabus
Probability & Statistics · Linear Algebra · Calculus & Optimisation · Programming (Python), Data Structures & Algorithms · Database Management & Warehousing · Machine Learning · AI
OFFICIAL SOURCE GATE 2026 — DA syllabus (PDF)
Two-paper option
DA can be paired with CS, EC, EE, MA, ME, PH, ST or XE
OFFICIAL SOURCE GATE 2026 — Two-paper combinations
Fee (2026 cycle, per paper)
₹1,000 women/SC/ST/PwD · ₹2,000 all others

₹500 more in the extended window; check the GATE 2027 brochure for the current cycle

OFFICIAL SOURCE GATE 2026 — Application fees
Frequency
Once a year, in February; score valid for 3 years
OFFICIAL SOURCE GATE 2026 — IIT Guwahati

Dates and fees can change. Later source checks are dated beside the relevant fact; other facts retain the baseline review date. Confirm current details on the linked official page. Myndaq is not affiliated with the exam body.

INSIDE YOUR MYNDAQ COURSE
  • 2,897 practice items
  • 66 modules
  • 22 chapters
Take the free GATE DA mock

GATE DA: common questions

What is GATE DA?

GATE DA is the Data Science and Artificial Intelligence paper of GATE, introduced in 2024. It is a 3-hour computer-based paper of 65 questions for 100 marks: 15 marks of General Aptitude and 85 marks on probability and statistics, linear algebra, calculus and optimisation, Python programming and data structures, databases, machine learning and AI.

GATE DA or GATE CS — which should I choose?

Choose CS if you want core-CS M.Tech seats, PSU recruitment and the largest seat pool; choose DA if your target is AI, ML or data-science programmes and you are stronger in maths and Python than in operating systems, networks and compilers. The two can be written together in the same year as an allowed combination.

Can I appear for both GATE DA and GATE CS?

Yes. The official two-paper table lists DA as an allowed second paper for CS and CS as an allowed second paper for DA. You pay the application fee twice and the papers are scheduled in different sessions.

How is GATE DA marked?

Only MCQs carry negative marks: one-third of a mark for a wrong 1-mark MCQ and two-thirds for a wrong 2-mark MCQ. Multiple-select (MSQ) and numerical-answer (NAT) questions have no negative marking, so attempt every NAT and MSQ.

Which programming language is used in GATE DA?

Python. The official syllabus says 'Programming in Python, basic data structures: stacks, queues, linked lists, trees, hash tables', plus search, sorting and basic algorithm analysis. You do not need C or C++ for DA.

Can I crack GATE DA without a computer-science background?

Yes. Eligibility is any undergraduate degree from the third year onward, and the syllabus is maths-heavy — probability, linear algebra, calculus — with only one programming section. Students from maths, statistics, electronics and economics backgrounds appear every year.

What does the Myndaq GATE DA course include?

Practice across Probability & Statistics, Linear Algebra, Machine Learning, AI with an AI tutor that explains every answer, plus progress analytics and full-length timed mock tests.

Is there a free GATE DA mock test?

Myndaq runs a free mock test programme. Availability varies by exam and publication status — check the free mock tests page. One attempt per account, for one eligible exam; sign in with Google or an email link, no payment card required. See free mock tests →