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Data Structures & Algorithms Syllabus
Master core data structures and algorithmic techniques for problem solving and technical interviews.. The complete Data Structures & Algorithms outline — 7 subjects, 33 chapters and 111 topics — laid out so you can see exactly what has to be covered and tick each item off as you go.
Data Structures & Algorithms subjects
Each subject below has its own page with the full chapter → topic → sub-topic tree and a set of real exam-style flashcards.
4 chapters · 16 topics
Linear Data Structures4 chapters · 14 topics
Hashing & Sorting5 chapters · 18 topics
Trees & Hierarchical Structures5 chapters · 16 topics
Graphs & Advanced Structures6 chapters · 17 topics
Algorithmic Paradigms5 chapters · 16 topics
Specialized Algorithms & Interview Prep4 chapters · 14 topics
Data Structures & Algorithms flashcard decks
367 question-and-answer cards across 7 decks, written against this syllabus. Preview any deck free.
How to work through the Data Structures & Algorithms syllabus
The outline on this page is arranged the way the syllabus itself is: subject, then chapter, then topic, then sub-topic. That last level is what most study plans skip, and it is where coverage actually goes wrong — a chapter marked "done" often has three sub-topics inside it that were never touched.
Weight your plan accordingly: Hashing & Sorting carries 18 topics while Specialized Algorithms & Interview Prep carries 14. Giving both the same number of weeks is the most common planning mistake for Data Structures & Algorithms.
The ~85 hour estimate above is a first pass only: roughly 45 minutes per topic plus 12 minutes per sub-topic. Revision cycles, past papers and mocks sit on top of that number.
Data Structures & Algorithms syllabus FAQ
What subjects are in the Data Structures & Algorithms syllabus?
Data Structures & Algorithms covers 7 subjects: Foundations & Complexity Analysis, Linear Data Structures, Hashing & Sorting, Trees & Hierarchical Structures, Graphs & Advanced Structures, Algorithmic Paradigms and Specialized Algorithms & Interview Prep. Together they contain 33 chapters and 111 named topics.
How many topics does the Data Structures & Algorithms syllabus contain?
The full Data Structures & Algorithms outline breaks down into 33 chapters, 111 topics and 0 sub-topics. Hashing & Sorting is the largest single subject with 18 topics across 5 chapters.
How long does it take to cover the whole Data Structures & Algorithms syllabus?
Roughly 85 hours for one full pass. That estimate allows about 45 minutes per topic plus 12 minutes per sub-topic, so it is first-pass coverage — revision, past papers and mock tests sit on top of it. At 3 hours a day that is about 4 weeks.
Are there Data Structures & Algorithms flashcards?
Yes — 367 question-and-answer flashcards across 7 decks, one per subject, written against this syllabus. A sample of every deck is readable on this site for free, and the complete decks are in the Examius app.
Is this Data Structures & Algorithms syllabus free to use?
Yes. Every page here is free to read, and importing the Data Structures & Algorithms syllabus into the Examius app to tick off topics as you finish them is free too. No account is needed to start.
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