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Data Structures and Algorithms
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Course Mode
Offline
Duration
3-4
Eligibility
A minimum of 50-60% in 10+2 from a recognized board, with Physics, Chemistry, and Mathematics (PCM) as core subjects.
Entrance Exam
JEE Main or WBJEE for B.Tech. programs.
Type of Course
UG
Course Summary
A Data Structures and Algorithms course is the bedrock of computer science and is essential for anyone aspiring to be a proficient software developer. Data Structures are ways of organizing data to make it easier to access and modify, while Algorithms are a set of instructions to solve a problem. The course teaches fundamental concepts like arrays, linked lists, stacks, queues, trees, graphs, and popular algorithms for sorting, searching, and problem-solving. A strong command of DSA is crucial for designing efficient and scalable software and is a primary focus of technical interviews at top-tier tech companies. This course is for students who are passionate about logic, problem-solving, and building high-performance software.
📅 Upcoming Admission Deadlines
- data-structures-and-algorithms with 50% scholarship August 28, 2025
Top Recruiters
Amazon
Microsoft
Wipro
TCS
Infosys
Career Scope
Web Developer
Software Developer
Frontend Engineer
College-wise Fees
Frequently Asked Questions
Data structures and algorithms are crucial because they enable efficient storage, retrieval, and processing of data, leading to optimized software performance. Understanding them allows programmers to write code that is faster, uses less memory, and can handle larger datasets, which is essential for developing scalable and robust applications.
Asymptotic notation (like Big O, Big Omega, and Big Theta) is used to describe the efficiency of an algorithm in terms of its running time or space requirements as the input size grows. It provides a way to analyze and compare algorithms independent of specific hardware or implementation details, focusing on their fundamental growth rates.
A data structure is a way of organizing and storing data in a computer so that it can be accessed and manipulated efficiently (e.g., arrays, linked lists, trees). An algorithm is a step-by-step procedure or set of rules designed to solve a specific computational problem or perform a task on data (e.g., sorting algorithms, searching algorithms).