Request A Callback

Request callback 82860054e0a475fa851fdf7792563e9fe0c6581aec2f02821607315a5fbb9da6.svg

Chat With Us

Message icon 379ffada3d0e74d968eb617f6f353d25d1af31ac3328bde8cb9ca1098357eac6.svg

Contact Us

Widget icon 09f048bbbfe8e11c029279fbb872b3966281c5ef5c95a2065779de849e8b181f.svg

Check 360b002a4b62e5945e146845135307f9671a38c8b308903fe5be835918e10f9f.svg Callback Requested

Our Academic Counsellor would reach out to you within the next 24 hours.
Technical support d11d16e019dbb2885dda285f9a01e7e03ebbb8e696e5e874bfe1e7e532117626.png
Talk to our Academic Advisors

Ready to become a Rockstar Developer?

Already a member? LOG IN
Full Name *
Email *
Phone Number *
OTP will be sent to this number for verification
+1 *
+1
Graduation Year *


Already a member? LOG IN
OR

Log in using

Mobile Number *
+1 *
+1

OR

Log in using

Verify mobile

We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Verify mobile

We've sent an OTP to your mobile number
Mobile Number *
edit
OTP *

Our website uses cookies to improve your browsing experience. By continuing to using our site you agree to the use of cookies. Learn more
Provide you details
Email ID *
Phone number *
+1 *
+1
Why Data Structures and Algorithms?
Data Structures are typically used to organize, process, retrieve and store data on computers for efficient use. Having the right understanding and using the right data structures helps software engineers write the right code.
There are two types of Data structures -
  • Linear Data structure: If the elements of a data structure result in a sequence or a linear list then it is called a Linear data structure. Every data element is connected to its next and sometimes previous element in a sequential manner. Example - Arrays, Linked Lists, Stacks, Queues, etc.
  • Non-linear Data structure: If the elements of a Data structure result in a way that the traversal of nodes is not done in a sequential manner, then it is a Non-linear data structure. Its elements are not sequentially connected, and every element can attach to another element in multiple ways. Example - Hierarchical data structure like trees.
  • Data structures are a key component of Computer Science and help in understanding the nature of a given problem at a deeper level. They're widely utilized in Artificial Intelligence, operating systems, graphics, and other fields. If the programmer is unfamiliar with data structure and Algorithm, they may be unable to write efficient data-handling code.
  • A strong grasp of this is of paramount significance if you want to learn how to organize and assemble data and solve real-life problems
  • Almost all product-based companies look at how strong you are at data structures, so it will also help you in your day-to-day work
  • Knowing when to apply the proper data structures is an important step to write efficient code by managing data properly
  • Key highlights of the Scaler Academy's program
    Our program is designed to help you become an expert in Data structures and Algorithms and ace product interviews to scale up in your tech career.
    <b>Structured, 
                    industry-vetted curriculum</b>
    Structured, industry-vetted curriculum
    <b>Live classes</b> led by 
                    <b>faculty members</b> with hands-on experience
    Live classes led by faculty members with hands-on experience
    Intensive <b>practical experience</b> 
                    through <b>real-life projects and applications</b>
    Intensive practical experience through real-life projects and applications
    <b>Aspirational network of peers</b>, 
                    across batches and backgrounds
    Aspirational network of peers, across batches and backgrounds
    <b>Regular 1:1 mentorship</b> 
                    from product industry veterans
    Regular 1:1 mentorship from product industry veterans
    <b>Career support</b> through mock interviews, 
                    profile building, and referral networks
    Career support through mock interviews, profile building, and referral networks

    Curriculum is designed to make you a solid engineer

    Beginner

    13 Months
    Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
    Checked circle 84ddbeb59e8bba89ca3efe3dcabca3f970d2a2121458ec15903c8247064cd8d3.svg

    Intermediate

    11 Months
    Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
    Checked circle 84ddbeb59e8bba89ca3efe3dcabca3f970d2a2121458ec15903c8247064cd8d3.svg

    Advanced

    09 Months
    Circle boundary 18e04fe4ba0cc118205e16f3daa6f50eb87711c94fbfad3e5d13667386e86ad9.svg
    Checked circle 84ddbeb59e8bba89ca3efe3dcabca3f970d2a2121458ec15903c8247064cd8d3.svg
    Module - 1

    Introduction to Programming

    1 to 2 Months

    Not required for Intermediate
    Module - 2

    Programming Constructs

    2 Months

    Not required for Intermediate
    Module - 3

    Advanced DSA and CS Fundamentals

    4 Months

    Module - 4

    Software and System Design

    3 Months

    Module Projects

    2 Months

    Advanced Electives

    1 Month

    1 to 2 Months*

    There are two types of Beginner batches. "Introduction to Programming" module is 1 month long for Beginner Refresher and 2 months long for Beginner Complete

    • Introduction to Programming
      • Python OR Java
      • Data Types and Operators
      • Loops and Conditional Statements
      • Functions
      • 1D & 2D Arrays
      • Strings

    2 Months


    • Programming Constructs
      • Introduction to Time Complexity Analysis
      • Introduction to Arrays
      • Introduction to Number System, Bit Manipulation
      • Introduction to Maths for Programming
      • Introduction to Sorting and Hashing
      • Introduction to Recursion
      • Introduction to Data Structures Fundamentals (Stacks, Linked Lists, Trees)

    4 Months


    • Problem Solving Techniques
      • Time Complexity Analysis
      • Arrays
      • Bit Manipulation
      • Maths
      • Recursion & Sorting
      • Binary Search & 2 Pointers
      • Hashing
      • Pattern Matching Algorithms
    • Data Structures
      • Linked Lists
      • Stacks & Queues
      • Trees
      • Tries & Heaps
    • Advanced Problem Solving Techniques
      • Greedy Algorithms
      • Backtracking
      • Dynamic Programming
      • Graphs
    • Programming Language Internals**
    • (To be conducted in inverted classroom model)
      • Data Types and Syntax
      • Programming Paradigms for the Language
      • Collections framework/ standard library
      • Concurrency
      • Advanced Concepts and Common Pitfalls
    • Database Management Systems
      • SQL
    • Operating Systems
      • Concurrency and Synchronization
    • Computer Networks
      • Socket Programming

    3 Months


    • Object Oriented Design (LLD)
      • OOP
      • Design Principles - SOLID
      • Design Patterns
      • UML Diagrams & Schema Design
      • Best Programming Practices (API Design and Project Structure)
      • Concurrency and Multithreading
      • Case Studies and Machine Coding (How to build real systems)
    • System Design (HLD)
      • Consistent Hashing
      • Caching
      • CAP Theorem
      • Distributed Systems & Databases
      • SQL and NoSQL
      • Scalability
      • Zookeeper + Kafka
      • Location Based Services (S3, Quad Trees)
      • Microservices & Containerisation (Docker)
      • Case Studies

    2 Months


    FullStack Specialisation (Backend and Fullstack)

    • MVC
    • REST APIs
    • ORM
    • SpringBoot (or Django)
    • Views
    • Building a server
    • Web architecture
    • HTML, CSS, Javascript in depth, Node.js
    • Backend architecture, MongoDB, React / Redux
    • Github, Version Control
    • Capstone project

    And/Or

    Data Engineering Specialisation

    • Building efficient Data Processing Systems
    • Advanced SQL
    • Cloud Services - AWS, or GCP
    • Developing ETL pipelines
    • Map-Reduce Framework
    • Big Data
    • Data Warehousing & Modelling
    • OLAP, Dashboarding
    • Workflow Orchestration
    • Logging, and Monitoring
    • MapReduce, HiveQL, Presto
    • 3 Projects


    1 Month


    DSA for Competitive Programming

    • Combinatorics and Probability
    • Matrix exponentiation
    • Advanced Trees => Segment Tree, k-D Tree
    • Disjoint Set Union
    • Advanced Dynamic Programming
    • Advanced Graphs => Bridges, Articulation point, Network Flow

    And/Or

    Product Management for Engineers

    • Introduction to Product Management
    • Product Thinking & Product Discovery
    • Product Roadmap & Prioritization
    • Mental Models for Product Managers
    • Product Analytics
    • Hands-on case study & Mixpanel session
    • Delivery & Project Management
    • Practical ways to apply PM lessons as an Engineer


    Download Curriculum

    1 to 2 Months*

    There are two types of Beginner batches. "Introduction to Programming" module is 1 month long for Beginner Refresher and 2 months long for Beginner Complete

    • Introduction to Programming
      • Python OR Java
      • Data Types and Operators
      • Loops and Conditional Statements
      • Functions
      • 1D & 2D Arrays
      • Strings

    2 Months


    • Programming Constructs
      • Introduction to Time Complexity Analysis
      • Introduction to Arrays
      • Introduction to Number System, Bit Manipulation
      • Introduction to Maths for Programming
      • Introduction to Sorting and Hashing
      • Introduction to Recursion
      • Introduction to Data Structures Fundamentals (Stacks, Linked Lists, Trees)

    4 Months


    • Problem Solving Techniques
      • Time Complexity Analysis
      • Arrays
      • Bit Manipulation
      • Maths
      • Recursion & Sorting
      • Binary Search & 2 Pointers
      • Hashing
      • Pattern Matching Algorithms
    • Data Structures
      • Linked Lists
      • Stacks & Queues
      • Trees
      • Tries & Heaps
    • Advanced Problem Solving Techniques
      • Greedy Algorithms
      • Backtracking
      • Dynamic Programming
      • Graphs
    • Programming Language Internals**
    • (To be conducted in inverted classroom model)
      • Data Types and Syntax
      • Programming Paradigms for the Language
      • Collections framework/ standard library
      • Concurrency
      • Advanced Concepts and Common Pitfalls
    • Database Management Systems
      • SQL
    • Operating Systems
      • Concurrency and Synchronization
    • Computer Networks
      • Socket Programming

    3 Months


    • Object Oriented Design (LLD)
      • OOP
      • Design Principles - SOLID
      • Design Patterns
      • UML Diagrams & Schema Design
      • Best Programming Practices (API Design and Project Structure)
      • Concurrency and Multithreading
      • Case Studies and Machine Coding (How to build real systems)
    • System Design (HLD)
      • Consistent Hashing
      • Caching
      • CAP Theorem
      • Distributed Systems & Databases
      • SQL and NoSQL
      • Scalability
      • Zookeeper + Kafka
      • Location Based Services (S3, Quad Trees)
      • Microservices & Containerisation (Docker)
      • Case Studies

    2 Months


    FullStack Specialisation (Backend and Fullstack)

    • MVC
    • REST APIs
    • ORM
    • SpringBoot (or Django)
    • Views
    • Building a server
    • Web architecture
    • HTML, CSS, Javascript in depth, Node.js
    • Backend architecture, MongoDB, React / Redux
    • Github, Version Control
    • Capstone project

    And/Or

    Data Engineering Specialisation

    • Building efficient Data Processing Systems
    • Advanced SQL
    • Cloud Services - AWS, or GCP
    • Developing ETL pipelines
    • Map-Reduce Framework
    • Big Data
    • Data Warehousing & Modelling
    • OLAP, Dashboarding
    • Workflow Orchestration
    • Logging, and Monitoring
    • MapReduce, HiveQL, Presto
    • 3 Projects


    1 Month


    DSA for Competitive Programming

    • Combinatorics and Probability
    • Matrix exponentiation
    • Advanced Trees => Segment Tree, k-D Tree
    • Disjoint Set Union
    • Advanced Dynamic Programming
    • Advanced Graphs => Bridges, Articulation point, Network Flow

    And/Or

    Product Management for Engineers

    • Introduction to Product Management
    • Product Thinking & Product Discovery
    • Product Roadmap & Prioritization
    • Mental Models for Product Managers
    • Product Analytics
    • Hands-on case study & Mixpanel session
    • Delivery & Project Management
    • Practical ways to apply PM lessons as an Engineer


    Download Curriculum
    Career Services
    Along with upskilling and preparing you to be a solid engineer, we will help you with your job search and interview preparation as well!
    Access job opportunities from our 100+ employer partners
    Exchange job opportunities with our extensive 20K+ Scaler student community
    Practice mock interviews with people working in the industry
    Optimize your resume & LinkedIn profile with our experienced experts
    Scaler alumni work at reputed tech organizations and promising startups
    Gain confidence in Data Structure concepts, taught by experienced instructors
    Our faculty comprises experts from Amazon, Google, Hotstar, Facebook, Microsoft to name a few, who have successfully built scalable systems
    Take the informed leap in your career with guidance and interview prep from our mentors
    1:1 Personalised Sessions are held bimonthly. Our mentors have helped thousands of students get clarity in their career paths and prepare for interviews through mock sessions
    Our success lies in our learners success stories
    Read the reviews by Scaler Alumni on how Scaler Academy Program has helped them become solid Data structures and Algorithms Experts
    I am elated to share that I have joined Townscript as a Software Engineer. All thanks to Scaler Academy for providing me with the guidance, skills, and knowledge I needed. When it comes to preparing for Product companies, there is a vast ocean of resources where one can easily get lost. But the curriculum at Scaler is well-framed and industry-vetted that I was able to learn all that is expected of a Software Engineer. Not only did I learn DSA, but also brushed my core skills which will remain with me for the rest of my life. I would like to thank the team for creating Scaler Academy, the best of its kind. Special thanks to my mentor for guiding me & sharing his valuable experiences that helped me learn better. Not to forget the amazing peers who have been a constant motivation in this journey. Lastly, thanks to the recruiter team who helped me find this amazing opportunity.
    I am extremely delighted to share that I will be joining Ola as a Software Development Engineer soon. Being a tier-3 college graduate, this journey to one of the top companies of India was not at all easy. I faced almost all kinds of emotions during my job hunt, but I'm overjoyed and humbled by the milestone I've achieved. For that, I would like to give special thanks to Scaler Academy for helping me in this journey. A big thanks to all the amazing instructors that made the complex topics so easy to grasp. I feel that my regular DSA practice and overall prep helped me gain momentum in this journey. A big shoutout to my mentor for constantly guiding me throughout the journey. He is the best mentor one could ever ask for. Lastly, I would like to thank the recruiter team for guiding me through the interview process. They were always there whenever I needed help.
    I am happy to share that I have joined ThoughtWorks as an Application Developer. After experiencing a couple of failed & awkward interviews, I realized I needed to work on my skills in order to crack them. From building the foundations of DSA to simplifying the concepts of System Design, the program delivered EXACTLY what it said. Even the teachers and TAs tackled each problem in an easy and well-defined structure. The curriculum here is well thought out which added discipline to my routine. It was only after I joined Scaler Academy I received offers from multiple companies, that honestly felt unreal. Thanks to Scaler for creating this platform and a big shoutout to my mentors who not only guided me but also made a proper roadmap for me to be able to achieve success in interviews. I would also like to thank the recruitment team for their help and support.
    I am excited to share that I have received offers from Amazon, Myntra, D.E. Shaw (QTE). I would like to thank Scaler Academy for upskilling my knowledge about DSA & System Design. I am grateful to the founders of Scaler Academy for creating such a wonderful learning platform. I feel blessed to have the finest instructors & mentors. I am extremely glad to have gotten constant support from my mentor who has helped me through the interview process, thank you Scaler for introducing me to a big brother. Lastly, would like to thank the recruitment team for bringing in so many interview opportunities.
    I am extremely thrilled that I will be joining Lendingkart as a Software Engineer. Grateful to Scaler Academy for helping me improve my problem-solving skills and making me understand DSA in a simpler way. Trees, Graphs related problems have always been a nightmare for me. Never imagined solving such problems with ease, thus, would like to thank the Scaler team for their tremendous support. Much thanks to the recruitment team who helped me through the recruitment related process. Thank you everyone from Scaler for all the support and guidance.
    I am pleased to share that I have joined WorkSpan as a Software Engineer. For this, I would like to thank Scaler Academy for teaching me how to think rather than only showing me the ways to solve a problem. Thanks to the Scaler team for teaching how large-scale systems are built. Other than that, thanks to all the instructors for teaching structures & algorithms, backend development and for teaching me recursion, concurrency, and Redis. This program has also made me strong in computer fundamentals (CN, DBMS & OS). Lastly, I would like to thank the recruiter team for arranging interviews with the companies.
    Connect with an Academic Counsellor

    Tuition Fee

    With scholarship & EMI options, your payment can be as low as Rs 7,200 per month - that's like your monthly grocery bill!

    Total fee: Rs 2.5L inclusive of GST. You also get scholarships upto Rs 25,000 and super affordable EMI options. Try the course for the first 2 weeks - full money-back guarantee if you choose to withdraw.

    EMIs (Pay in Equated Monthly Installments)

    You can find both no-cost EMI & standard interest EMI from our NBFC partners. See below a summary of their best plans (more details available at the time of payment)

    emi-image

    You can also choose to avail EMI options from your credit card providers.

    Scholarship Options
    Way of getting exciting scholarships at Scaler Academy
    1. Get up to INR 25,000 as scholarship basis your performance in the 30 minutes entrance test! If you secure the scholarship and also opt for EMI payment, then you can pay as little as ₹9,811 per month to sign up for Scaler Academy!
    Financing Options
    You can avail financing options for the tuition fee. Make a down payment of $500 and the rest as monthly payments
    To learn more, request a callback and our team will reach out to you
    Scholarship Details
    How to secure your scholarship?
    You have the possibility of receiving up to a $1,100 scholarship based on your performance in the 30 minute entrance test

    Frequently Asked Questions

    As a software engineer/programmer, one should understand the core concepts of data handling. Understanding data structures and algorithms will benefit candidates in coding interviews, as they will be able to write efficient code to handle the data presented by the interviewer/interviewers. They can write code in any programming language with minimal effort
    Product companies worldwide screen applicants based on their grasp of data structures and algorithms. Aside from getting through to product-based companies, the application of data structures and algorithms in the tech world is huge. DSA has been the core of computer programming from the beginning and has been the building block of the software development process, it is incorporated into all of the important languages. The efficiency of software development depends on the choice of an appropriate data structure and algorithm
    There are a number of coding languages with data structures. Among them, C++ and Java stand out for their ease in using DSA. Python, Javascript are some other notable languages to learn data structures
    The key to mastering DSA is to practice as many problems as possible and do so consistently. We provide a pool of problems focused on data structures and algorithms to help you practice as much as you want, stay consistent, and track your progress. Establishing a solid foundation is crucial so staying patient and continuing the pace of learning will eventually pay off
    Data Structures and Algorithms module, which is covered under the Scaler Academy Program will give you expert-level knowledge of DSA and prepare you for interviews that will help advance your career. Students will receive advanced and valuable training in data structures, algorithms, and large-scale systems design, as well as gain insight into how various DSAs work. Recursion, arrays, linked lists, stacks, queues, strings, binary search, trees, heaps, arithmetic operators, loops, etc., will also be covered by experienced instructors.
    Enrolling in the Scaler Academy program, which covers Data Structures and Algorithms will prepare you for interviews and help you advance your career. You'll gain extensive practical experience by working on real-world projects. Students are provided with a well-structured curriculum curated by industry experts that combines CS basics, web development skills, and fundamental DSA skills that will prepare them for technical interviews. Besides improving fundamental DSA skills, our instructors and mentors are well-equipped to assist candidates with behavioral interviews.
    No, learning Data Structures and Algorithms is not difficult as long as you have the motivation to learn. Developing this skill or knowledge simply requires practice and time. Once you've learned the fundamentals of data science, learning algorithms is a great next step.
    Any working professional interested in pursuing or upskilling their career in software engineering, development, and programming can enroll in this program.
    Yes, Scaler Academy will issue you a certificate upon completion of the program.
    There is no need to worry; during the course, all lectures will be recorded, and you will be able to access them afterward.
    Program Registration
    Thanks for your interest. We will let you know when the course is about to begin.