CMI MSDS Syllabus 2026: Complete Topic-Wise Breakdown

CMI MSDS 2026 Syllabus Overview

The Chennai Mathematical Institute's Master of Science in Data Science (MSDS) entrance exam tests your aptitude in mathematics, statistics, and logical reasoning. Understanding the syllabus deeply is your first step to cracking this competitive exam.

Section 1: Mathematics (40% Weightage)

Linear Algebra

• Vector spaces and subspaces
• Linear transformations and matrices
• Eigenvalues and eigenvectors
• Inner product spaces
• Orthogonalization and least squares

Calculus

• Limits, continuity, and differentiability
• Mean value theorems
• Taylor series and power series
• Multiple integrals
• Partial derivatives and gradients

Probability Theory

• Probability axioms and conditional probability
• Random variables (discrete and continuous)
• Expectation, variance, and moments
• Common distributions (Binomial, Poisson, Normal, Exponential)
• Joint distributions and independence

Section 2: Statistics (30% Weightage)

• Descriptive statistics and data visualization
• Estimation theory (MLE, Method of Moments)
• Hypothesis testing
• Regression analysis basics
• Sampling distributions

Section 3: Logical Reasoning (30% Weightage)

• Set theory and combinatorics
• Graph theory basics
• Algorithmic thinking
• Data interpretation

Preparation Strategy

Start with strengthening your mathematical foundations. CMI emphasizes conceptual clarity over rote learning. Practice previous year papers to understand the exam pattern and difficulty level.

Recommended Timeline

Month	Focus Area
Month 1-2	Linear Algebra + Calculus fundamentals
Month 3-4	Probability + Statistics
Month 5	Practice tests + Previous year papers
Month 6	Revision + Mock tests