For IndividualsFor BusinessesFor UniversitiesFor Governments
Coursera
  • All DegreesExplore Bachelor’s & Master’s degrees
  • Bachelor’s DegreesExplore master’s degrees from leading universities
  • Master’s DegreesExplore Computer Science & Engineering degrees
  • Postgraduate StudiesDeepen your expertise with postgraduate learning
  • MasterTrack™Earn credit towards a Master’s degree
  • University CertificatesAdvance your career with graduate-level learning
Find your New Career
  • Browse
  • Top Courses
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Scientific Computing

    Filter by

    166 results for "scientific computing"

    • Placeholder
      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Computer Programming, Other Programming Languages, Linear Algebra, Mathematics, Matlab, Data Analysis, Data Analysis Software, Algorithms, Theoretical Computer Science, Computer Graphic Techniques, Computer Graphics, Data Visualization, Machine Learning, Plot (Graphics), Probability & Statistics, Regression, Basic Descriptive Statistics, Computer Vision, Dimensionality Reduction, General Statistics, Exploratory Data Analysis, Leadership and Management, Programming Principles, Statistical Analysis

      4.8

      (17.1k reviews)

      Beginner · Specialization · 3-6 Months

    • Placeholder
      Johns Hopkins University

      Differential Calculus through Data and Modeling

      Skills you'll gain: Mathematics, Calculus, Algebra, Differential Equations, Linear Algebra, Mathematical Theory & Analysis

      4.8

      (231 reviews)

      Intermediate · Specialization · 3-6 Months

    • Placeholder
      University of Cape Town

      Julia Scientific Programming

      Skills you'll gain: Computer Programming, Computational Thinking, Data Analysis, Data Visualization, General Statistics, Other Programming Languages, Plot (Graphics), Probability & Statistics, Statistical Tests, Theoretical Computer Science

      4.4

      (416 reviews)

      Beginner · Course · 1-4 Weeks

    • Placeholder
      Vanderbilt University

      Mastering Programming with MATLAB

      Skills you'll gain: Computer Programming, Other Programming Languages, Algorithms, Theoretical Computer Science, Linear Algebra, Mathematics, Probability & Statistics, Regression, Data Analysis, Data Analysis Software, Matlab, Programming Principles

      4.8

      (331 reviews)

      Intermediate · Course · 1-3 Months

    • Placeholder
      Dartmouth College

      C Programming: Language Foundations - 2

      Skills you'll gain: Algorithms, Computer Programming, Computer Programming Tools, Data Management, Data Structures, Human Computer Interaction, Other Programming Languages, Theoretical Computer Science, User Experience

      4.6

      (43 reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      Dartmouth College

      C Programming: Modular Programming and Memory Management - 3

      Skills you'll gain: Computer Programming, Human Computer Interaction, Algebra, Leadership and Management, Mathematics, Other Programming Languages, User Experience

      4.6

      (28 reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      Placeholder
      Dartmouth College

      C Programming: Pointers and Memory Management - 4

      Skills you'll gain: Computer Programming, Human Computer Interaction, Other Programming Languages, User Experience

      4.7

      (24 reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      Placeholder
      Dartmouth College

      C Programming: Advanced Data Types - 5

      Skills you'll gain: Computer Programming, Human Computer Interaction, Other Programming Languages, Programming Principles, User Experience

      4.4

      (13 reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      Placeholder
      Dartmouth College

      Linux Basics: The Command Line Interface - 6

      Skills you'll gain: Computer Architecture, Computer Networking, Computer Programming, Human Computer Interaction, Java Programming, Linux, Mobile Development, Network Architecture, Software Architecture, Software Engineering, Theoretical Computer Science, User Experience

      4.7

      (10 reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      Placeholder
      Dartmouth College

      C Programming: Using Linux Tools and Libraries - 7

      Skills you'll gain: Computer Programming, Linux

      4.9

      (8 reviews)

      Beginner · Course · 1-3 Months

    • Placeholder
      Placeholder
      Johns Hopkins University

      Integral Calculus through Data and Modeling

      Skills you'll gain: Calculus, Mathematics, Linear Algebra, Differential Equations, Leadership and Management

      4.8

      (58 reviews)

      Intermediate · Specialization · 3-6 Months

    • Placeholder
      Placeholder
      The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Mathematics, Mathematical Theory & Analysis, Data Analysis, Data Analysis Software, Linear Algebra, Matlab, Calculus, Differential Equations

      4.9

      (245 reviews)

      Intermediate · Course · 1-3 Months

    1234…14

    In summary, here are 10 of our most popular scientific computing courses

    • MATLAB Programming for Engineers and Scientists: Vanderbilt University
    • Differential Calculus through Data and Modeling: Johns Hopkins University
    • Julia Scientific Programming: University of Cape Town
    • Mastering Programming with MATLAB: Vanderbilt University
    • C Programming: Language Foundations - 2: Dartmouth College
    • C Programming: Modular Programming and Memory Management - 3: Dartmouth College
    • C Programming: Pointers and Memory Management - 4: Dartmouth College
    • C Programming: Advanced Data Types - 5: Dartmouth College
    • Linux Basics: The Command Line Interface - 6: Dartmouth College
    • C Programming: Using Linux Tools and Libraries - 7: Dartmouth College

    Frequently Asked Questions about Scientific Computing

    • Scientific computing is the high-powered, research-focused application of computing theories and methodologies to solve scientific problems. Another way to view scientific computing is that it is the intersection point between computer science, numerical mathematics, and modeling. In scientific computing, there are a variety of tools, techniques, and theories used to analyze science, engineering, and mathematical computer models of problems. This field of study is also known as computational science. With either definition, it is an area of science that encompasses many different disciplines while using advanced computing capabilities to understand and solve problems with natural systems.‎

    • Scientific computing is valuable to learn as many of the concepts explored in this area deal with futuristic ways to use computers. One of these ways is due to the increased power of supercomputers in recent years. As a result, it has become easier for computer scientists to use scientific computing to create complex simulations that were previously unimaginable, such as particle physics. Someone who has learned computing through networking, computer hardware, programming, databases, or algorithms could have the right mix of skills and insights to learn scientific computing‎

    • Typical career opportunities that can arise from learning scientific computing include working as a data scientist, cloud operations specialist, scientific programmer/modeler, data engineer, or DevOps engineer. Additional roles are in data acquisition, ingestion, and research integration as a computational scientist. Other roles involve creating user interfaces and back-end services to automate the scientific output of multi-institutional science research projects.‎

    • When you take online courses about scientific computing, you can learn the fundamentals of science research and the mathematical methodologies involved in this scientific approach. You may also be exposed to data analysis as it relates to mathematical modeling, along with related knowledge originally developed within mathematics. Today, this set of mathematical techniques and theories is a major part of scientific computing known as numerical analysis. Taking online courses can help you learn more about these data-rich fields, as well as newer, advanced technologies like Databricks and Apache Spark that scientific computing experts use in large research projects.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
    Other topics to explore
    Placeholder
    Arts and Humanities
    338 courses
    Placeholder
    Business
    1095 courses
    Placeholder
    Computer Science
    668 courses
    Placeholder
    Data Science
    425 courses
    Placeholder
    Information Technology
    145 courses
    Placeholder
    Health
    471 courses
    Placeholder
    Math and Logic
    70 courses
    Placeholder
    Personal Development
    137 courses
    Placeholder
    Physical Science and Engineering
    413 courses
    Placeholder
    Social Sciences
    401 courses
    Placeholder
    Language Learning
    150 courses

    Coursera Footer

    Learn Something New

    • Learn a Language
    • Learn Accounting
    • Learn Coding
    • Learn Copywriting
    • Learn HR
    • Learn Public Relations
    • Boulder MS Data Science
    • Illinois iMBA
    • Illinois MS Computer Science
    • UMich MS in Applied Data Science

    Popular Data Science Topics

    • Artificial Intelligence
    • Data Analysis
    • Data Engineering
    • Data Science
    • Excel
    • Machine Learning
    • Python
    • Power BI
    • R Programming
    • SQL

    Popular Computer Science & IT Topics

    • Blockchain
    • Coding
    • Computer Science
    • Cybersecurity
    • Full Stack Web Development
    • IT
    • Java
    • Software Engineering
    • Web Design
    • Web Development

    Popular Business Topics

    • Accounting
    • Business Finance
    • Communication Skills
    • Leadership & Management
    • Marketing
    • Product Management
    • Project Management
    • UX Design
    • UX Research
    • Writing

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Coronavirus Response
    • Free Courses
    • All Courses

    Community

    • Learners
    • Partners
    • Beta Testers
    • Translators
    • Blog
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    Learn Anywhere
    Placeholder
    Placeholder
    Placeholder
    © 2023 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder