CMI Data Science 2027
The Chennai Mathematical Institute (CMI) is one of India’s most elite institutions for mathematics and data science. Cracking the CMI M.Sc. Data Science entrance exam demands conceptual clarity, logical reasoning, and rigorous practice — and Supremum Classes has a proven track record of delivering just that!
Our Legacy of Success
In CMI Data Science Entrance 2025, 12 students from Supremum Classes were selected — a testament to our high-quality mentorship and result-driven preparation strategy.
Supremum hai, to Result hai.
Course Highlights:
- Expert Faculty from IITs & Top Institutions
- Structured Syllabus Coverage
- Live Interactive Classes + Recorded Sessions for Revision
- Exclusive Study Material, Formula Sheets & Topic-Wise Notes
- Weekly Practice Tests & Full-Length Mock Exams
- Doubt-Solving Sessions & 1-on-1 Mentorship
- Scholarship Opportunities & Affordable Fee Structure
Course Inclusions:
- Online live lectures of full course
- Full HD recorded video of full course
- Regular test on Topic basis
- Live discussion class of each test
- Questions practice set regularly
- Live discussion class of practice set
- One-to-one mentorship | 24 x 7 WhatsApp Support
- Test series and discussion available
- Live Previous year discussion
Why Supremum Classes is the Best Choice for CMI DS 2026?
- Proven Track Record of Success – Our students consistently score top ranks.
- Exam-Oriented Approach – Focused preparation with mock tests & analysis.
- Flexible Learning – Online + Offline hybrid model with recorded sessions.
- Doubt-Clearing Support – 1-on-1 mentorship for personalized attention.
- Structured Study Plan – Covers entire syllabus with expert guidance.
Syllabus Coverage (As per CMI Official Syllabus)
- Mathematics (School Level)
- Progressions, Means, Polynomials
- Matrices, Determinants, Linear Equations
- Prime Numbers, GCD, LCM, Modular Arithmetic
- Logarithms, Basic Calculus (Differentiation, Maxima-Minima, Integration)
- Discrete Mathematics
- Sets & Relations, Combinatorics, Pigeonhole Principle
- Binomial Theorem, Mathematical Induction
- Boolean Logic & Truth Tables
- Probability Theory
- Conditional Probability, Bayes' Theorem
- Distributions: Gaussian, etc.
- Expectation, Variance, Summary Statistics, Data Interpretation
- Programming
- Ability to read and interpret algorithms written in simple pseudocode (variables, conditionals, loops)
