2. About Online DSA Course

With the Logicmojo Data Structure and Algorithm Course, you will have the necessary skills and techniques required for coding efficiently, handling data, and solving problems. Let's go through the overview of skills offered by the Logicmojo DSA course: .

Core Data Structure: Master the important data structures to manage and manipulate data efficiently.

• Understand the concept of different data structures such as Array, Linked Lists, Stacks, and Queues to streamline the data management process.

• Learn to implement tree-based structures for hierarchical data representation and represent complex networks with Graphs.

• Learn to hash tables with a hashing technique for fast data retrieval.

Algorithmic Problem Solving: Master essential algorithms for solving problems and writing efficient code.

• Master Sorting and Searching Algorithms, and understand their time and space complexities.

• Develop the ability to break down problems into subproblems with memorization or tabulation techniques.

• Understand Greedy Algorithms to make optimal choices at each step to solve problems like scheduling and coin change.

Complexity Analysis: Learn to analyze algorithms' complexity for composing optimal code.

• Understand Time and Space Complexity with Big-O notation to analyze the efficiency of algorithms

• Learn to average the time complexity of operations over a sequence.

Advanced Data Structures: Learn to solve complex problems with advanced data structures

• Learn to use Heaps and Priority Queues to implement efficient algorithms like Dijkstra’s shortest path

• Gain expertise in string processing and search algorithms to perform autocomplete and text search.

Competitive Skills: Improve your programming and problem-solving skills to perform better in a competitive environment.

• Learn to optimize your code to reduce time complexity and improve performance.

• Learn to analyze problems quickly, think logically, and implement quick solutions within a time-constrained and competitive environment.

Architectural Skills: Learn to design and structure your application effectively.

• Learn to design scalable and maintainable software structures with high performance.

• Solve recurring design problems by understanding common design patterns.

Product Development Skills: Develop skills and end-to-end processes to bring a product from concept to market.

• Learn to translate business needs into technical requirements.

• Get familiar with agile methodologies to ensure the product evolves according to the user's need.

• Learn product lifecycle and testing process to make sure that the product is secure, reliable, and performs as expected.

Practical Implementation and interview preparation: Apply your knowledge through practical implementations and participate in mock interviews to build confidence.

• Improve your ability to implement algorithms with coding practice and solve real-world problems.

• Gain insight into frequently asked interview questions and participate in mock interviews to build confidence.

The Logicmojo Data Structure and Algorithm course is designed for a diverse group of individuals to master their problem-solving and coding skills. The individuals who should consider taking this DSA course are:

Working Professionals in IT: Professionals or software developers can take this course to upskill their problem-solving ability and stay competitive in the tech industry.

Freshers: This DSA course will benefit recent graduates to master data structures and algorithms, build a strong technical foundation, and land their first job in the tech industry.

College Students: College students can apply for this course to understand the core concept of DSA and implement it in their academic projects. This course will train them to get internships and job placement.

Aspiring software engineers: If you plan to work in software development, building a strong foundation of data structures and algorithms is essential. This course will help you in optimizing code, improving performance, and solving complex problems efficiently.

Competitive programmers: Participants in competitive programming contests can benefit from a DSA course to excel in their problem-solving techniques.

Job seekers: Many tech companies, including top firms like Google, Amazon, and Facebook, test candidates' knowledge of data structures and algorithms during the interview process. Taking a DSA course can help prepare you for these interviews and increase your chances of securing a job.

Educators and mentors: Computer science educators and mentors can benefit from a DSA course to strengthen their own understanding and effectively convey these concepts to their students.

Basic understanding of programming language:
Basic knowledge of programming languages like Java, Python, JavaScript, and C++. Familiarity with writing a basic program and grasp of basic mathematical concepts.
Familiarity with Data Structures and Algorithms:
Understanding of how array and string works and knowledge of data structures. Familiarity with simple algorithms like linear search, binary search, and bubble sort.

Everything will be covered in detail in this course from basic to advanced, and with the willingness to learn and improve your skills, you will go a long way with this DSA course.

The Logicmojo Data Structure and Algorithm course covers a wide range of technologies to help you master DSA. Below is a brief overview of technologies covered in this course:

Technologies	Description
Data Structures.	Data Structures are methods for organizing and storing data efficiently for easy access. Learn different data structures including Arrays and Linked Lists to store the sequences of elements, Stacks to store data in LIFO order, Queues to store data in FIFO order, Trees for hierarchical data representation, and Graphs to model relationships between entities. .
Algorithms.	Algorithms are the logical procedures used to manipulate data structures to solve problems. Sorting algorithms arrange data in a specific order to optimize data retrieval and processing in applications, while Searching algorithms find specific elements within a data structure. Dynamic programming is used to solve complex problems by simply breaking them into overlapping subproblems and Greedy algorithms make optimal choices at each step to find a global optimum.
Distributed Systems.	Distributed databases handle large-scale applications by storing data across multiple servers to ensure high availability and data consistency. Example: Google Spanner and Amazon DynamoDB Cloud computing platforms provide computing resources over the internet, it allow businesses to deploy and manage applications without physical hardware. Example: AWS, Microsoft Azure, and Google Cloud
Programming Languages	Learn Java, a versatile, object-oriented programming language commonly used for developing enterprise-level applications. Example: Android apps and backend systems JavaScript, a dynamic interpreted language used for building interactive and server-side web pages.
Microservices Architecture.	Microservices are an architectural style to structure applications as a collection of autonomous, small services. Each service can be developed, deployed, and scaled independently. these services communicate via Representational State transfer APIs, these are the set of rules for designing networked applications.
Object-Oriented Programming.	OOP is a programming paradigm that organizes software design around data, or objects, rather than functions and logic. In OOP encapsulation is used to restrict access by bundling variables and functions into a single class. Inheritance is a concept where a subclass inherits properties and behavior from a superclass, this promotes code reusability. Polymorphism allows objects of different classes to be treated as objects of a common superclass. Abstraction is used to hide complex implementation details and expose only necessary features to the user.
Cloud Deployment.	Cloud deployment refers to hosting applications on cloud infrastructure. IaaS (Internet as a Service) provides virtualized computing resources by renting IT infrastructures over the Internet, this offers flexibility and scalability without physical hardware. PaaS (Platform as a Service) simplifies the development process by offering users to develop, run, and manage applications over the Internet. SaaS (Software as a Service) delivers software applications over the internet on a subscription basis.
Competitive Programming.	Competitive programming platforms allow users to solve algorithmic and mathematical problems on platforms like Codeforces, LeetCode, and HackerRank.

There are various job profiles are open after completing the Data Structure and Algorithm Course, some are outlined below:

Job Opportunities	Role Description
Software Development Engineer (SDE) Roles	SDEs hold the responsibility of solving complex problems, optimizing code, and improving application performance. They design, develop, and maintain software applications with DSA.
Backend Developer	Backend Developers use DSA knowledge to build efficient, scalable, and secure backend systems. They handle server-side logic, database interactions, and APIs.
Software Engineer	Software Engineers are responsible for designing, developing, and testing software applications. With DSA knowledge they solve complex problems and implement effective solutions.
Full Stack Developer	Full-stack developers take responsibility for handling both the front-end (server-side) and back-end (client-side) of web applications. They optimize data flow between client and server and ensure a seamless user experience.
Senior Software Engineer.	Senior Software Engineers with their deep DSA knowledge build robust and scalable systems. They lead projects, guide junior engineers, and make architectural decisions.
Technical Lead	Technical Leads supervise the technical part of software projects. Oversee the technical direction of projects. They ensure the efficient implementation of Data Structures and algorithms.
Solution Architect.	Solution Architects design the IT system architecture and ensure that all components work together efficiently. They use DSA knowledge to keep up the system's performance and scalability.
Frontend Developer	Frontend Developers create the interactive UI/UX of web applications. They use different algorithms to optimize rendering, data handling, and performance.
Technical Manager	Technical Managers use DSA principles to implement effective and efficient solutions, they coordinate projects, oversee teams, and ensure that the result meets technical standards.
Product Manager	Product Managers use DSA knowledge to make decisions about product design and technical feasibility. They work with the development team to define product features.

3. What will you learn ?

This course covers complete Data Structures, Algorithms, Competitive Programming with System Design. It starts with Arrays and Linked Lists, followed by Binary Trees, Hashing and Graphs. In system design, it comprehensively covers Distributed Systems, Microservices, and AWS cloud deployment.

Complete DSA Course with System Design is
✅7 months Duration

Your DSA & System Design Journey

First 4 Months: Data Structures & Algorithms

Master the fundamentals of algorithmic thinking and problem solving

Time Complexity

Learn fundamentals of programming and understand time complexity.

Big O Notation Space Complexity Algorithm Analysis

Topic Duration → 2 weeks

Array, String and Linked List

Master array, string, sorting and linked list and implement real time project on Git and GitHub.

Array Operations String Manipulation Linked Lists Sorting

Topic Duration → 3 weeks

Stack and Queue

Learn fundamentals of programming of stack and queue and its usage.

Stack Implementation Queue Applications Problem Solving

Topic Duration → 3 weeks

Hashing & Heap Sort

Learn fundamentals of programming the hashing/heap sort in very simpler way.

Hash Functions Collision Resolution Heap Operations

Topic Duration → 4 weeks

OOD Concepts

Learn fundamental OOD concepts and its usage in programming.

Encapsulation Inheritance Polymorphism Object Oriented Design

Topic Duration → 4 weeks

Competitive Programming

String based and mathematical competitive programming practise, Hackerank, Hackerearch Practise in Live classes

String Manipulation Mathematical Problems HackerRank HackerEarth

Topic Duration → Ongoing

Binary Tree, N-ary Tree, Segment Tree etc

Learn fundamentals of binary tree and N-ary tree and use it project/assignments.

Binary Tree N-ary Tree Segment Tree Tree Traversal

Topic Duration → 4 weeks

Greedy Algorithm

Learn all about Greedy Algorithms and its use cases.

Greedy Algorithms Algorithm Design

Topic Duration → 3 weeks

Backtracking & Recursion

Learn fundamentals of Backtracking and Recursion.

Recursion Backtracking Algorithm Design

Topic Duration → 3 weeks

Graph Theory

Learn fundamentals of Graph Theory and its applications.

Graph Traversal Shortest Paths Minimum Spanning Trees Network Flow

Topic Duration → 4 weeks

Dynamic Programming

Learn Dynamic Programming and its key concepts.

Memoization Tabulation Optimal Substructure Overlapping Subproblems

Topic Duration → 4 weeks

Advanced Data Structures

Complete Advanced data structures like Trie, Suffix Tree, Suffix Array, ternary search trees etc.

Trie Suffix Tree Suffix Array Ternary Search Trees

Topic Duration → 4 weeks

4 months

Next 3 Months: System Design

Learn how to design scalable and efficient systems

System Design Basics

Approach of system design problem, discuss requirement, API, data model, system components, system interface & design.

API Design Data Modeling System Components System Interface Consistency Availability Latency

Topic Duration → 3 weeks

Distributed System Basics

Distributed Database, SQL, Load Balancer, Distributed Cache, CDN, Cache Eviction Policies, Push & Pull Mechanism, CAP Theorem etc.

Distributed Databases SQL Load Balancing Caching CDN CAP Theorem

Topic Duration → 3 weeks

Cloud Architecture Deployment

EC2 Instance configuration, Docker Container Deployment, cloud-native development, Pods, Running Web App in docker.

EC2 Docker Cloud-Native Pods

Topic Duration → 3 weeks

Design Patterns

SOLID Design pattern, Singleton design pattern, factory & abstract factory design pattern, Builder design pattern, observer design pattern etc.

SOLID Creational Patterns Behavioral Patterns Singleton

Topic Duration → 2 weeks

SQL & NoSQL

SQL Relational/Non- Relational Database, MYSQL and NoSQL – key/value Model, Cassandra, MongoDB, Redis etc. Document Databases, Graph Databases.

Relational DBs NoSQL Systems Data Modeling MySQL Cassandra MongoDB Redis

Topic Duration → 2 weeks

Kubernetes, Docker Deployment

Scalability (Latency, Throughput, vertical scaling, Horizontal scaling), AWS, Kubernetes Architecture & ecosystem, Long-Polling, web-sockets etc.

Scalability Kubernetes Docker AWS

Topic Duration → 2 weeks

Distributed Cache, Database Sharding

Caching, Cache Eviction Policies, Consistent Hashing, Zookeeper, Pooling & Streaming Concepts, Publish/Subscribe Pattern, Map Reduced.

Caching Database Sharding Consistent Hashing Zookeeper

Topic Duration → 3 weeks

Microservice Architectures Details

Monolithic vs microservices, micro-service Architectures, fault tolerance scalable system, Service Discovery, Distributed Tracing and Monitoring etc

Microservices Monolithic Service Discovery Distributed Tracing

Topic Duration → 2 weeks

Big Data, Hadoop Kafka, Zookeeper

Complete Understanding of Big Data Tech, High Level and Low Level Internal System Design, Message Queue, Kafka, API gateway, Big Data, Service Mesh

Big Data Hadoop Kafka Zookeeper Message Queue

Topic Duration → 3 weeks

Scalable System Design Problems Discussion

Design Problems of Real world system, Tiny URL, paste bin, Uber design, Facebook design, G-Map, Swiggy location based system, Mail server(Gmail) , WhatsApp etc

System Design Scalability Real-world Systems

Topic Duration → Ongoing

High level Design(HLD) + LLD(Low Level Design)

Understanding all scalable distributed system design, HLD and LLD detail design discussion, Detail Architectural Design flow, Distributed Components etc

High Level Design Low Level Design Distributed Systems

Topic Duration → Ongoing

System Design Interview Questions

System Design Interview question discussion with various examples. How design works, how to explain the design & cover bottle neck design issues

System Design Interview Preparation Problem Solving

Topic Duration → Ongoing

3 months

Scalable System Design with HLD + LLD

(Duration - Next 3 months)

This course is curated by leading faculties and industry leaders to provide practical learning experience with live interactive classes and projects.

Download brochure

• Techniques to start discussing the problem statement scope
• Define all design constraints in the system
• Finalizing the scalability, the system will support

• System capacity/size estimation with number of users access it
• Finalizing the target environment (Tools, library or open sources)
• Concise the problem, support the scalability

• Identify system level REST API to access the recourses.
• Define parameters, return types JSON
• Finalize read/write/delete/paste API possible in the system

Identify all the data models & business logic involved in backend
Identify all functional/Non-functional components involved
Finalize state machine, service layer & interfaces

Check reliability and redundancy
Components required to make low latency system
Database finalization, Metadata Sharding etc.

Distributed Hash Table, LRU, In-memory Data Lookup
Memcache, Read-Through, Write-Through Cache

http/https, DOS, web server, abstraction layer
Scheduling algo, Round robin, FCFS
One to Many, Many to One Communication

Vertical scaling, Horizontal scaling, which is better
Minimize Latency & Increase Throughput Of System
Factors Need to be considered for Scalable System Design

High Availability Clustering
Desinging & Configuring Distributed Cache
Abstraction & Consistency Model

Introduction & Configuration of Pub-Sub Model
Real-Time Streaming, Active MQ,Message Broker
Configuration Load Balancer, Set up CDN

Basic Architecture of Kubernetes
Kubectl Describe, Configuration of Zookeeper
Root Nameserver, Authoritative nameserver, DNS Resolver

Client Side vs Server Side Rendering
Adding,deleting and Finding Specific Nodes

REST API - CORS and Enabling CORS
REST-PUT,DELETE,GET,POST Configuration
Serialization vs De-Serialization,Working with JSON
POSTMAN,Swagger Configuration
Restful Web Services Implementation

Key Data Store
Pull and Push Models Implementations
HTTP keep-alive vs long polling

Program Highlights

85+ Hours Live sessions
1:1 Doubt Session
3+ Design Projects
Multiple Batches Options
Life time accessibility
Job Referrals Program
Peer to peer Learning
Mock Interviews
Resume Preparation
Weekly Assignments
Regular Progress Tests
Code Explanation

Apply For DSA Classes

Advanced DSA & Problem Solving course

(Duration - First 4 months)

This course is curated by leading faculties and industry leaders to provide practical learning experience with live interactive classes and projects.

Download brochure

Program Highlights

110+ Hours Live sessions
1:1 Doubt Session
4+ Projects
Multiple Batches Options
Life time accessibility
Job Referrals Program
Peer to peer Learning
Mock Interviews
Resume Preparation
Weekly Assignments
Regular Progress Tests
Code Explanation

Apply For DSA Classes

Enhanced your salary 8X just by learning from DSA & System Design Course

High demand for software developer profile across all product companies in the world

Just Few Months Of Preparation in Live Classes and Crack Coding & System Design Rounds in Top Product Based Companies

25,12,290

Average Annual
Base Salary (2025)

85%

Average Salary Growth Annual
(Service Companies --> Top Product Companies)

161%

Software Developer
Job Listings Growth,
Annual (2019-2025)

Career Impact

Software Development Engineer(SDE) Roles have Average package of 25+ Lakh in Top Product Based Companies.

Learn from MAANG companies
Experts & Transform your Career

Apply For Live Classes

Course Steps ?

Learn Data Structures, Algorithms, Problems Solving techniques & System Design from scratch

How to get placed in product companies

Attend free demo class
from your mentor

Just click on Free Trial
for attending demo class

Join the
course

Talk to our Experts for any queries and join the course

Attend live sessions
regularly

Attend sessions regularly and
complete all assignments

Get Job assistance and
certification

Get job assistance & certification
after completion of the course

Job Focused Live interactive sessions to help realize your dreams

Learn and get hired in simple steps - DSA Course Roadmap

Acquire Expertise

Learn Data Structures, Algorithms & problem-solving techniques from industry veterans in a Live session and enjoy an immersive learning experience.
Missed your classes

If you miss any classes, No problem. Just after every class, you will get video access to all classes for lifetime access.
1:1 doubt clearing sessions

Attend the Live 1:1 doubt clearing sessions/mentorship sessions.
In case you missed asking doubts in classes, attend separate 1:1 doubts solving classes
Assignments for practice

Learn DSA from practice. Get assignments from the mentor for self attempt

Flexible batches

Attend multiple batches with multiple trainers. If you missed any session or topics, attend any batches as per your flexibility. Even after course completion, you can repeat any classes for 1 year.
Job assistance program

Be attentive with regular classes & solve all assignments. After completion of the course, you will be eligible for the job referrals program
Mock Interview sessions

Be attentive with regular classes & solve all assignments. After completion of the course, you will be eligible for the mock interview session
Peer to Peer Learning

Slack group for peer-to-peer learning & discussion with batchmates. Hackerrank for 1:1 tests & GitHub for Code review

Job Focused Programs to help realize your dreams

Learn and get hired in simple steps - Self Paced Course

Acquire Expertise

self-paced course to learn Data Structures, algorithms & system design from industry veterans and enjoy an immersive learning experience.
Revise concepts with Assignments

Practice assignments in an editor, Can't solve it? All assignments also have detailed explanations.
Ask your Doubts Anytime

Getting Stuck While Coding? Get all your doubts resolved.
Ask any queries in any lectures as well as assignments from experts

Online weekly coding env

Check your progress & feel the competitive environment every week with an online coding test.
Job assistance

Get ready for the final battle? All consistent performers in the weekly test will get referrals in tech company's interviews.
Code Execution environment

We have integrated an online code execution environment editor for practicing all lectures & assignments with test cases & solution

Apply For Live Classes

Course Fee?

DSA + System Design Course Fee

Total Fee

₹ 45,000

No Cost EMI

As low as ₹ 3,750/month

Apply now

We have partnered with the following financing companies to provide competitive finance options at 0% interest rate with no hidden costs.

DSA + System Design Course Duration

Duration: 7 months Live Weekend Classes
Prerequisite : Basic understanding of programming required
Complete Interview Preparation Course

Who can apply for the DSA + System Design Classes?

Software engineers
IT Professionals
Managers
Architect
Senior Developers

Apply For Live Classes

Few Reviews From Subscribers

Over Chat, Email, And Linkedin

Our subscribers create milestones by cracking top tech companies' interviews & grab more than 80+ LPA(Lakh Per Annum) package in India . Logicmojo course provides them the guidance, direction, concepts & well-structured content to help them during their preparation.

These are a few of the reviews of our subscribers.

Course Reviews

Logicmojo in
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Logicmojo Awards
& Affiliation

Data Structures and Algorithms (DSA) Free Tutorial

Frequently Asked Questions

Name: Data structures and Algorithms Course
Brand: LogicMojo
SKU: .
Rating: 4.9 (18654 reviews)

Everything you need to know about the courses, tuition fees, and more.

+ What topics are covered in a DSA course?

Course Content

Data Structures and Algorithms (DSA) course typically covers a variety of topics that are fundamental to computer science and programming. These concepts form the building blocks for solving complex computational problems efficiently.

Fundamentals

Basic concepts and building blocks
Algorithm analysis and complexity
Time and space complexity metrics
Big O notation and efficiency analysis

Basic Data Structures

Arrays (static, dynamic, multi-dimensional)
Linked Lists (singly, doubly, circular)
Stacks & Queues implementations
Priority queues and circular queues

Advanced Data Structures

Trees (binary, BST, AVL, Red-Black)
Tree traversal techniques
Graphs and representation methods
Hash tables and collision resolution

Searching & Sorting

Searching algorithms (linear, binary, interpolation)
Basic sorting (bubble, selection, insertion)
Advanced sorting (merge, quick, heap)
Specialized sorting (counting, radix sort)

Graph Algorithms

Graph traversals (BFS, DFS)
Shortest paths (Dijkstra, Bellman-Ford)
Minimum spanning trees (Prim, Kruskal)
Graph coloring and cycle detection

Algorithmic Techniques

Recursion (factorial, Fibonacci, Tower of Hanoi)
Dynamic Programming (memoization, bottom-up)
Greedy Algorithms (fractional knapsack, Huffman)
Backtracking (N-Queens, Hamiltonian cycle)
Divide and Conquer (merge sort, Strassen's)

These topics build the foundation for designing and analyzing efficient algorithms to solve complex computer science problems. Understanding DSA thoroughly is essential for excelling in coding interviews and developing optimized software solutions.

View Detailed Syllabus Watch Sample Class Ask More Questions

+ Which language is best for learning DSA?

DSA concepts are language-agnostic. We teach using Java, JavaScript, C++ and Python—pick whichever you’re most comfortable with.

+ How long does it take to complete a DSA course?

Logicmojo’s DSA course is offered in two formats:

7-month program: Live DSA classes for 4 months, then 3 months of System Design.
4-month program: Intensive live classes focused solely on DSA.

+ Why is learning Data Structures and Algorithms important?

All top tech companies test candidates on DSA to gauge problem-solving skills. It’s the cornerstone of computer science applied across e-commerce, finance, health tech, telecom, and more.

Our DSA course combines lectures for conceptual clarity with assignments for hands-on practice in real-world problem solving.

+ Who should take this DSA course?

A DSA course can benefit a wide range of learners. In particular:

CS students building a strong foundation.
Aspiring software developers preparing for interviews.
IT professionals upskilling to solve complex problems.
Competitive programmers (ICPC, LeetCode, Code Jam).
Job seekers in tech—Google, Amazon, Facebook, etc.
Educators & mentors teaching programming concepts.

Overall, anyone serious about coding efficiency and career growth should master DSA.

+ Eligibility to join this DSA course

Working IT professionals targeting product:contentReference[oaicite:0]{index=0}.

+ Can a non-IT or non-CS graduate join?

Yes—our course starts from first principles, enabling non-CS backgrounds to build DSA skills from scratch.

+ How does the placement process work?

After course completion, you’ll:

Step 1: Take mock DSA interviews to gauge readiness.
Step 2: One-on-one resume prep with our experts.
Step 3: Job referrals and interview scheduling with top product companies.

+ How many mock interviews can I attempt?

As many as you need—our goal is to ensure you’re fully prepared for real company interviews.

+ Is there a timeline for mock interviews?

We recommend finishing mocks within 6 months of course end, but you can extend up to 1 year in special cases.

+ Which companies are considered for placements?

We partner with top product firms across India—your referrals can land you interviews at the likes of Google, Amazon, Flipkart, and more.

+ When will I receive the DSA certificate?

Once you successfully complete the course, you’ll receive both course-completion and project-completion certificates.

+ What projects are covered in the DSA course?

The 7-month DSA program includes real-world backend architectures and system designs. Key components:

Design Patterns: In-depth coverage and real-world applications.
Business Logic: Writing clean, bug-free code for project requirements.
Distributed Systems: Microservices, Kafka, sharding and cloud infra design.

+ How many projects are included?

We start simple and ramp up complexity. On average, four projects are completed to strengthen your portfolio.

+ Which languages are used for projects?

You may choose any OOP language—Java, Python, JavaScript or C++—for your projects.

+ What is the fee for the DSA course?

7-Month DSA + System Design: INR 52,000/- (15% off for first 15 students: INR 45,000/-)

4-Month DSA Only: INR 32,000/- (15% off for first 15 students: INR 27,000/-)

+ Can I pay using No Cost EMI?

Yes—choose from 3, 6, 9 or 12-month interest-free EMI plans via any credit card.

Still have questions?

If you couldn't find the answer to your question, feel free to reach out to our team. We're here to help!

Duration	Total Amount	Monthly Payments
NO COST EMI	12 Months	₹1,10,000 +18% GST	₹10,816
Standard Interest Rates Applicable	18 Months	₹1,10,000 +18% GST	₹7,211

Advanced Data Structures Algorithms & System Design(HLD+LLD) by Logicmojo

DSA System Design Course LIVE

Data Science and AI Course LIVE

Self Paced Course

Become an Expert with Logicmojo DSA Course

Master Data Structures & Algorithms with Logicmojo DSA Course

Our students have gotten job offers from:

Our placement success rate

1. Course Curriculum

Live Interactive Sessions

Practical experience through Projects

1:1 doubt clearing sessions

Job Assistance Program

Missed Classes ?

Life Time Access

peer to Peer Learning?

Flexible Pay

Assignments for Practise After Class

Competitive Coding Tests

2. About Online DSA Course

What important skills will you learn with this DSA Course?

Who should take this DSA Course?

What are the prerequisites for this Data Structures and Algorithms Course?

What are the different technologies involved in this DSA Course?

What are the job opportunities available after completing this DSA course?

Who Should Join

Working Professionals

Fresh Graduates

Architect/Managers

DSA Course Roadmap

Student Placement Statistics

Students Placed Over Years

Placement Breakdown

Median Salary Growth

Request a Callback

Request Received!

3. What will you learn ?

Your DSA & System Design Journey

First 4 Months: Data Structures & Algorithms

Time Complexity

Array, String and Linked List

Stack and Queue

Hashing & Heap Sort

OOD Concepts

Competitive Programming

Binary Tree, N-ary Tree, Segment Tree etc

Greedy Algorithm

Backtracking & Recursion

Graph Theory

Dynamic Programming

Advanced Data Structures

Next 3 Months: System Design

System Design Basics

Distributed System Basics

Cloud Architecture Deployment

Design Patterns

SQL & NoSQL

Kubernetes, Docker Deployment

Distributed Cache, Database Sharding

Microservice Architectures Details

Big Data, Hadoop Kafka, Zookeeper

Scalable System Design Problems Discussion

High level Design(HLD) + LLD(Low Level Design)

System Design Interview Questions

4. DSA Courses

Advanced Course of Data Structures, Algorithms & System Design(HLD + LLD)

Duration

Mode

ADDITIONAL CURRICULUM

Advanced Course of Data Structures, Algorithms & Problem Solving

Duration

Mode

ADDITIONAL CURRICULUM

5. DSA Course Complete Syllabus

Module 1: Introduction of Design

Chapter 1: How to approach for system design problem

Chapter 2: How to discuss Requirement/Goal of the system

Chapter 3: How to Design an API For a System

Module 2: Data Models & Latency, Fault tolerance

Chapter 1: Data model, system components & system interface

Advanced
Data Structures Algorithms & System Design(HLD+LLD)
by Logicmojo