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Theoretical Computer Science Courses

Theoretical computer science courses can help you learn algorithms, computational complexity, automata theory, and formal languages. You can build skills in problem-solving, mathematical reasoning, and algorithm analysis, that support tackling complex computational tasks. Many courses introduce tools like Python for algorithm implementation, LaTeX for typesetting mathematical documents, and software for simulating automata, allowing you to apply these concepts in practical scenarios.


Popular Theoretical Computer Science Courses and Certifications


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    University of Colorado Boulder

    Machine Learning: Theory and Hands-on Practice with Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Keras (Neural Network Library), PyTorch (Machine Learning Library), Vision Transformer (ViT), Scikit Learn (Machine Learning Library), Large Language Modeling, Embeddings, Network Architecture, Data Transformation, Algorithms

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free
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    Princeton University

    Computer Science: Algorithms, Theory, and Machines

    Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Algorithms, Programming Principles, Computational Logic, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
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    744 reviews

    Intermediate · Course · 1 - 3 Months

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    Birla Institute of Technology & Science, Pilani

    Logic for Computer Science

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Analytical Skills, Theoretical Computer Science, Programming Principles, Computational Thinking, Computer Science, Data Analysis, Computer Programming, Systems Analysis, Verification And Validation, Algorithms, Software Development, Machine Learning

    Beginner · Course · 1 - 3 Months

  • Status: Free
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    Princeton University

    Analysis of Algorithms

    Skills you'll gain: Combinatorics, Algorithms, Theoretical Computer Science, Mathematical Theory & Analysis, Data Structures, Advanced Mathematics, Mathematical Modeling, Probability, Calculus

    4.4
    Rating, 4.4 out of 5 stars
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    1K reviews

    Advanced · Course · 1 - 3 Months

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    University of Colorado Boulder

    Fundamentals of Model Checking

    Skills you'll gain: Computational Logic, Verification And Validation, Systems Architecture, Systems Design, Hardware Design, Mathematical Modeling, Theoretical Computer Science, Systems Analysis, Computer Architecture, Systems Engineering, Communication Systems, Software Design, Software Architecture, Model Evaluation, Software Testing, Graph Theory, Software Quality Assurance, Computer Programming Tools, Algorithms, Logical Reasoning

    4.7
    Rating, 4.7 out of 5 stars
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    9 reviews

    Beginner · Specialization · 1 - 3 Months

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    University of London

    Introduction to Computer Science and Programming

    Skills you'll gain: Computer Science, Computer Systems, Development Environment, Web Applications, Debugging, Arithmetic, Computer Literacy, Program Development, Network Security, Computer Networking, Graphing, Computational Thinking, Theoretical Computer Science, General Mathematics, Computer Graphics, Data Literacy, Visualization (Computer Graphics), Computer Programming, Javascript, Problem Solving

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
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    1.5K reviews

    Beginner · Specialization · 1 - 3 Months

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  • Status: Free Trial
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    University of California San Diego

    Introduction to Discrete Mathematics for Computer Science

    Skills you'll gain: Graph Theory, Logical Reasoning, Cryptography, Computational Logic, Cryptographic Protocols, Combinatorics, Computational Thinking, Probability, Deductive Reasoning, Encryption, Public Key Cryptography Standards (PKCS), Arithmetic, Network Analysis, Algorithms, Theoretical Computer Science, Applied Mathematics, Data Structures, Mathematical Modeling, Computer Programming, Cybersecurity

    4.5
    Rating, 4.5 out of 5 stars
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    3.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Next level skills. New Year savings.

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  • Status: Free Trial
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    U

    University of California San Diego

    Data Structures and Algorithms

    Skills you'll gain: Data Structures, Algorithms, Graph Theory, Computational Thinking, Data Storage, Program Development, Bioinformatics, Data Storage Technologies, Theoretical Computer Science, Computer Programming, Distributed Computing, Test Case, Python Programming, Programming Principles, Software Testing, C and C++, Debugging, Javascript, Java, Rust (Programming Language)

    4.6
    Rating, 4.6 out of 5 stars
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    17K reviews

    Intermediate · Specialization · 3 - 6 Months

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    R

    Rice University

    Fundamentals of Computing

    Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Data Analysis, User Interface (UI), Machine Learning Algorithms, Theoretical Computer Science, Computer Programming

    4.8
    Rating, 4.8 out of 5 stars
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    4.1K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
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    Birla Institute of Technology & Science, Pilani

    Automata and Computability

    Skills you'll gain: Theoretical Computer Science, Computational Logic, Mathematical Theory & Analysis, Algorithms, Computational Thinking, Programming Principles, Computer Science, Graph Theory, Natural Language Processing, Logical Reasoning, Formal Learning

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
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    S

    Stanford University

    Algorithms

    Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Network Model, Programming Principles, Social Network Analysis, Network Analysis, Computational Thinking, Analysis, Computer Science, Network Routing, Probability, Pseudocode, Computational Logic, Operations Research

    4.8
    Rating, 4.8 out of 5 stars
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    6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Foundations of Data Structures and Algorithms

    Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Design Strategies, Pseudocode, Computer Science, Program Development, Tree Maps, Encryption, Linear Algebra, Combinatorics, Mathematical Theory & Analysis, Data Science, Python Programming

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
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    912 reviews

    Advanced · Specialization · 3 - 6 Months

What brings you to Coursera today?

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In summary, here are 10 of our most popular theoretical computer science courses

  • Machine Learning: Theory and Hands-on Practice with Python: University of Colorado Boulder
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • Logic for Computer Science: Birla Institute of Technology & Science, Pilani
  • Analysis of Algorithms: Princeton University
  • Fundamentals of Model Checking: University of Colorado Boulder
  • Introduction to Computer Science and Programming: University of London
  • Introduction to Discrete Mathematics for Computer Science: University of California San Diego
  • Data Structures and Algorithms: University of California San Diego
  • Fundamentals of Computing: Rice University
  • Automata and Computability: Birla Institute of Technology & Science, Pilani

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