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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


  • Status: New
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    Status: Free Trial
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    U

    University of London

    Mathematical Foundations for Computing

    Skills you'll gain: Arithmetic, Theoretical Computer Science, Computational Logic, Programming Principles, Computer Science, Algorithms, Computational Thinking, Database Theory, Mathematical Modeling, Data Structures, General Mathematics, Applied Mathematics, Business Mathematics, Advanced Mathematics, Logical Reasoning, Problem Solving

    Beginner · Course · 1 - 4 Weeks

  • B

    Birla Institute of Technology & Science, Pilani

    Graphs and Networks

    Skills you'll gain: Graph Theory, Network Analysis, Social Network Analysis, Combinatorics, Network Model, Mathematical Modeling, Transportation Operations, Image Analysis, Algorithms, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Model Optimization, Computational Thinking, Problem Solving, Embeddings

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
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    U

    University of Pennsylvania

    Computational Thinking for Problem Solving

    Skills you'll gain: Computational Thinking, Algorithms, Programming Principles, Program Development, Pseudocode, Problem Solving, Analytical Skills, Python Programming, Computer Systems, Data Structures, Computer Hardware, Computer Programming, Object Oriented Programming (OOP), Analysis, Computer Architecture, Debugging

    4.7
    Rating, 4.7 out of 5 stars
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    1.4K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Statistical Methods, Combinatorics, Bayesian Network, Applied Machine Learning, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Probability & Statistics, Bayesian Statistics, Social Network Analysis, Simulations, Statistical Software

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Mind and Machine

    Skills you'll gain: Problem Solving, Agentic systems, Computational Thinking, Computer Vision, Game Theory, Image Analysis, Artificial Neural Networks, Probability Distribution, Decision Intelligence, Behavioral Economics, Analysis, Convolutional Neural Networks, Logical Reasoning, Algorithms, Human Development, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, AI literacy, Theoretical Computer Science, Psychology

    4.4
    Rating, 4.4 out of 5 stars
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    371 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    U

    University of Colorado Boulder

    Foundations of Autonomous Systems

    Skills you'll gain: Computational Logic, Mathematical Modeling, Model Based Systems Engineering, Systems Design, Theoretical Computer Science, Verification And Validation, System Requirements, Engineering Analysis, Functional Requirement, Automation Engineering, Functional Specification, Control Systems, Mechanics, Requirements Analysis, Systems Analysis, Safety Assurance, Linear Algebra, Differential Equations, Algorithms, Applied Mathematics

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
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    38 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
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    U

    University of Colorado Boulder

    Fundamentals of Model Checking

    Skills you'll gain: Computational Logic, Systems Design, Verification And Validation, Computer Engineering, Communication Systems, Systems Analysis, Software Systems, Process Modeling, Functional Testing, Theoretical Computer Science, Computational Thinking, Functional Specification, Software Architecture, Model Optimization, Software Design, Graph Theory, Software Testing, Software Quality Assurance, Computer Architecture, Logical Reasoning

    4.7
    Rating, 4.7 out of 5 stars
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    11 reviews

    Beginner · Specialization · 1 - 3 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Formal Languages and Applications

    Skills you'll gain: Theoretical Computer Science, Computer Programming, Algorithms, Computer Science, Formal Learning, Software Engineering, Program Development, Data Science, Technical Analysis

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
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    T

    The Hong Kong University of Science and Technology

    Discrete Math for Computer Science - Logic & Set Theory

    Skills you'll gain: Computational Logic, Logical Reasoning, Theoretical Computer Science, Deductive Reasoning, Data Structures, Mathematics and Mathematical Modeling, Computer Science, Algorithms

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    U

    University of California San Diego

    Mathematical Thinking in Computer Science

    Skills you'll gain: Logical Reasoning, Computational Logic, Deductive Reasoning, Computational Thinking, Theoretical Computer Science, Combinatorics, Algorithms, Programming Principles, Python Programming, Computer Programming, Applied Mathematics, Arithmetic

    4.4
    Rating, 4.4 out of 5 stars
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    2.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Computer Science, Probability & Statistics, Probability, Design Strategies

    4.8
    Rating, 4.8 out of 5 stars
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    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Status: Free Trial
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    U

    University of London

    Logic and Reasoning for Computing

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Programming Principles, Computer Science, Critical Thinking, Computational Thinking, Business Logic, Algorithms, Mathematical Theory & Analysis, Algebra, Mathematical Modeling, Problem Solving, Strategic Communication

    Intermediate · Course · 1 - 4 Weeks

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

  • Mathematical Foundations for Computing: University of London
  • Graphs and Networks: Birla Institute of Technology & Science, Pilani
  • Computational Thinking for Problem Solving: University of Pennsylvania
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Mind and Machine: University of Colorado Boulder
  • Foundations of Autonomous Systems: University of Colorado Boulder
  • Fundamentals of Model Checking: University of Colorado Boulder
  • Formal Languages and Applications: Birla Institute of Technology & Science, Pilani
  • Discrete Math for Computer Science - Logic & Set Theory: The Hong Kong University of Science and Technology
  • Mathematical Thinking in Computer Science: University of California San Diego

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