IIT JAM - MATHEMATICAL STATISTICS

IT JAM 2026 Mathematical Statistics exam held today, February 11, 2026 at more than 100 exam centres across the nation. JAM 2026 Mathematical Statistics subject exam aws scheduled for the first shift i.e., from 9:30 to 12:30 PM. Test takers can read out this article to get update on post-IIT JAM 2026 Mathematical Statistics subjects exam analysis, student reactions, and based on the exam analysis, check for the IIT JAM expected cut-off for Mathematical Statistics subject. IIT JAM 2026 exam is scheduled to be held on February 11, 2026 in around 100 Cities in India. IIT Madras will conduct the JAM 2026 for 8 courses in predetermined IIT JAM 2026 shift timings. The IIT JAM morning shift will start at 9:30 am and conclude at 12:30 pm for Chemistry, Geology and Mathematical Statistics subjects at the IIT JAM 2026 exam centres. There will be around 70 to 80 thousand students will appear in the exam this year as per previous year trends.

Programme Details

Experience transformative learning with our dedicated team of educators at Pathfinder Academy. We combine passionate expertise with personalized guidance to empower students of all backgrounds. Our highly-qualified teachers, boasting years of experience, tailor their approach to meet individual needs, fostering scientific exploration and competitive confidence.


Testing Methodology

Commencement of Registration

Commencement of Programme

Early access

Duration of programme

Schedule of classes

Medium

Provision of tests

Scholarships

Personal Mentorship

Interview Guidance

Offline classroom

25 th June 2026

1 st July, 2026 -Noida, NCR

25 th June 2026 onwards

1 Year(5days/week)

9:30 AM to 2:00 PM

A hybrid of English only

Bimonthly (objective patterns)

Get Upto 90%* Scholarship

Included | By faculty members

Included | By field expertes

IIT JAM-Mathematical Statistics

Offline/online Coaching

Course Fee

₹25000

Including GST + Book + Test Series


Payment and Registration

Pay now to get access for recorded lectures till June 2026 exam


Success Redefined



Raised image
Chandrashekar

Biology Educator

IISC Bengaluru
Raised image
Kumar Shiv

Maths Educator

IIT Dhanbad
Raised image
Abhilash

Maths Educator

NIT College
Raised image
Rishab Gupta

JEE mains & Advance

NIT Warangal
Raised image
Vinay

Physics educator

NIT Trichy

Classroom Features

Pratishtha EDU classes is a place for learning, innovation, and success. Academy is known for leadership in quality education and is committed to the highest standards of teaching.



Study Material

Comprehensive material with quality, brief summarization of each topic with MCQ



Interactive Classes

Receive immediate feedback and comments, which significantly helps to improve.



Best Result

With expert and unmatched study material, we produce good result.



Best faculty

We have best and quality faculty panel from IIT NIT and Prestigious college.

Excellent Track Record

With consistency of quality education and faculty. We have best results.

Sequences and Series of Real Numbers: convergence of sequences, bounded and monotone sequences, Cauchy sequences, Bolzano–Weierstrass theorem, absolute convergence; tests of convergence for series (comparison, ratio, root tests). Power series of one real variable, radius and interval of convergence, term-wise differentiation and integration.

Functions of One Real Variable: limits, continuity, intermediate value property, differentiation, Rolle’s theorem, mean value theorem, L’Hospital’s rule, Taylor’s theorem and Taylor series, maxima and minima, Riemann integration, fundamental theorem of calculus.

Functions of Two or Three Real Variables: limits, continuity, partial derivatives, total derivative, maxima and minima.

Integral Calculus: double and triple integrals, change of order of integration, applications to surface areas and volumes.

Differential Equations: Bernoulli’s equation, exact differential equations, integrating factors, orthogonal trajectories, homogeneous differential equations, method of separation of variables, linear differential equations of second order with constant coefficients, Cauchy–Euler equations, method of variation of parameters.

Linear Algebra: systems of linear equations, rank, nullity, rank–nullity theorem, inverse of matrices, determinants, eigenvalues and eigenvectors.

Probability Theory: random experiments, sample space, events, axioms of probability, conditional probability, Bayes’ theorem, independence.

Random Variables and Distributions: discrete and continuous random variables, probability mass function, probability density function, cumulative distribution function, expectation, variance, covariance and correlation.

Highlights of IIT JAM 2026 Mathematical Statistics Exam Pattern

Below is the official exam pattern for IIT-JAM Mathematical Statistics (MS)

  • Types of Questions
    • Multiple Choice Questions (MCQs)
    • Multiple Select Questions (MSQs)
    • Numerical Answer Type (NAT)
  • Marking Scheme
    • MCQs carry 1 or 2 marks.
    • Negative marking for MCQs:
      • 1 mark MCQ → 1/3 mark deducted
      • 2 mark MCQ → 2/3 mark deducted
    • No negative marking for MSQs and NAT.


Particulars Details
Exam mode Online Computer-Based Test (CBT)
Exam duration 3 Hours
Total number of questions 60
Total marks 100
Section A 30 MCQs (10 × 1 mark, 20 × 2 marks)
Section B 10 MSQs (2 marks each)
Section C 20 NAT (10 × 1 mark, 10 × 2 marks)
Negative marking Only for MCQs

Books to Be Referred

IIT-JAM Mathematical Statistics (MS) Recommended Books

Subject Area Book Name Author
Mathematics Calculus & Real Analysis (limits, series, multivariable calculus) Standard Real Analysis & Calculus Texts
Linear Algebra (matrices, eigenvalues, vector spaces) Standard Linear Algebra Texts
Statistics & Probability Fundamentals of Mathematical Statistics S. C. Gupta & V. K. Kapoor
An Introduction to Probability and Statistics V. K. Rohatgi & A. K. Md. Ehsanes Saleh
Probability and Statistical Inference Additional reference for deeper concepts

Tip: Choose one good book per topic and focus on problem-solving. Excessive book-hopping should be avoided.

Key Topics to Focus On

Important areas for scoring well in IIT-JAM Mathematical Statistics (MS)

Topic Area What to Focus On
Probability Theory Probability distributions and their properties, conditional probability, independence
Limit Theorems Convergence concepts, Law of Large Numbers, Central Limit Theorem
Sampling Distributions Sampling theory and distributions of estimators
Estimation Maximum Likelihood Estimation (MLE), unbiased estimators, consistency
Hypothesis Testing Type I & Type II errors, Neyman–Pearson framework, likelihood ratio tests
Multivariate Statistics Joint distributions, covariance, correlation, multivariate random variables
Linear Algebra Matrix algebra required for statistical computations

Note: IIT-JAM does not specify topic-wise weightage. Candidates should prepare all core topics thoroughly.

IIT JAM Mathematical Statistics (MS) is a national-level entrance examination conducted for admission to M.Sc. and M.Sc.–Ph.D. programmes in Mathematical Statistics at IITs, IISc, and other participating institutes. The paper focuses on probability, statistics, and relevant mathematical foundations.
The IIT JAM MS exam is considered moderate to challenging. It tests conceptual clarity and problem-solving ability in probability, statistics, and mathematics rather than rote learning. Consistent practice and strong fundamentals make the exam manageable.
Yes. A solid understanding of calculus, linear algebra, and sequences is essential, as these topics support probability and statistical inference throughout the paper.
Yes. Approximately 75% of the syllabus focuses on statistics and probability, while 25% covers mathematical foundations.
Yes. The Mathematical Statistics programme builds strong foundations in probability, inference, and multivariate analysis, which are highly relevant for careers in data science, analytics, research, and academia.