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We’re in a digital world where everything generates data — from your fitness watch to your Netflix history. Companies need smart people who can understand and use this data to make better decisions.
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Data Science is the field that focuses on extracting knowledge and insights from structured and unstructured data. It’s an interdisciplinary domain that combines concepts from statistics, computer science, machine learning, data analysis, and domain expertise to turn raw data into actionable insights. DA-IICT MSc Data Science 2026 Coaching | DA-IICT Data Science Entrance Classes
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DA-IICT MSc Data Science Entrance Exam 2026: Mathematics, Statistics, basic Computer Science (programming) and Quantitative Aptitude.
DA-IICT Data Science Admission Process | DA-IICT MSc Data Science Syllabus and Pattern
DA-IICT Data Science Exam Duration: 90 minutes & MCQ Pattern (+4 & -1 Mark pattern)
Section I Quantitative Aptitude: Logical Reasoning and Verbal Ability.
Section II Computer Science:
Data structures: Arrays (one-dimensional and multi-dimensional), indexing, row/column major
array addressing; strings; stacks; queues.
Programming concepts (Pseudocode and C language): variables and scope of variables (global,
local); constants; data types, static, dynamic; expressions; arithmetic, logical, bitwise and
conditional operators; iteration; logic building; functions.
Object oriented programming (C++ language): classes, object instances, inheritance.
Algorithms (Pseudocode): Searching (linear and binary); sorting; asymptotic worst case time and
space complexity.
Section III Mathematics:
Sequences and Series of real numbers, Functions of one real variable, Functions of two and three variables, Integral calculus, Differential equations, Linear algebra
Section IV Statistics:
Descriptive Statistics, Probability, Random Variables, Standard Distributions
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