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    • Scientific Computing

    Scientific Computing Courses Online

    Learn scientific computing for data analysis and simulations. Understand algorithms, numerical methods, and programming for scientific applications.

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    Explore the Scientific Computing Course Catalog

    • U

      University of Illinois at Urbana-Champaign

      Master of Computer Science (feat. Data Science Track)

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Artificial

      Skills you'll gain: Supervised Learning, Unsupervised Learning, Anomaly Detection, Computer Vision, Reinforcement Learning, Cloud-Native Computing, Natural Language Processing, Containerization, Deep Learning, Dimensionality Reduction, Artificial Intelligence, Machine Learning, CI/CD, Probability & Statistics, Data Ethics, Embedded Systems, Application Deployment, Game Theory, Epidemiology, Automation

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      P

      Packt

      Database Management and Core Application Development

      Skills you'll gain: ASP.NET, Database Development, C# (Programming Language), Back-End Web Development, Database Management, Database Design, Object-Relational Mapping, Model View Controller, Web Applications, Software Design Patterns, Authentications, User Accounts, Maintainability, Business Logic, Authorization (Computing), Data Modeling, Data Validation

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Advanced Architectural Modeling and Texturing

      Skills you'll gain: 3D Modeling, Computer Graphics, Computer Graphic Techniques, Visualization (Computer Graphics), Functional Design

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Bases de la Salud Pública

      Skills you'll gain: Epidemiology, Biostatistics, Health Systems, Descriptive Statistics, Statistical Hypothesis Testing, Infectious Diseases, Scientific Methods, Preventative Care, Statistical Methods, Probability & Statistics, Healthcare Industry Knowledge, Medical Science and Research, Research Design, Statistical Analysis, Quantitative Research, Science and Research, Research, Ethical Standards And Conduct, Primary Care, Economics, Policy, and Social Studies

      Credit offered

      Mastertrack · 6 - 12 Months

    • U

      Universidad de los Andes

      Maestría en Ingeniería de Software

      Skills you'll gain: User Story, Process Analysis, Maintainability, Test Automation, Angular, Android Jetpack, Cloud-Native Computing, Dashboard, Design Thinking, Site Reliability Engineering, Cloud Development, API Design, Project Risk Management, Internet Of Things, Sprint Planning, User Experience Design, Microservices, Machine Learning, Security Requirements Analysis, Usability

      Earn a degree

      Degree · 1 - 4 Years

    • W

      West Virginia University

      Master of Science in Software Engineering

      Skills you'll gain: Unified Modeling Language, Verification And Validation, Threat Modeling, Security Management, Secure Coding, Scope Management, Application Security, Financial Statements, Proposal Development, Cash Flows, Object Oriented Design, Requirements Analysis, Software Design, Security Requirements Analysis, Incident Response, Database Design, Software Visualization, Business Process Management, Object Oriented Programming (OOP), Mobile Development

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Colorado Boulder

      Master of Science in Data Science

      Skills you'll gain: Object Oriented Design, User Story, SQL, Systems Engineering, New Product Development, Field-Programmable Gate Array (FPGA), Strategic Decision-Making, Delegation Skills, Sampling (Statistics), Failure Analysis, Diversity Equity and Inclusion Initiatives, Supplier Management, Sustainability Reporting, Data Ethics, Data Mining, Statistical Modeling, Unsupervised Learning, Goal Setting, Proposal Writing, Generative AI

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      R

      Rutgers the State University of New Jersey

      Generative AI & Governmental Financial Reporting

      Skills you'll gain: Scalability, Governmental Accounting, Unstructured Data, Financial Data, Generative AI, Accounting, Accounting Systems, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Robotic Process Automation, Data Processing, Financial Reporting, Automation, Application Programming Interface (API), Decision Making, User Interface (UI)

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Network Analysis, Unsupervised Learning, Data Storytelling, Deep Learning, Predictive Modeling, Risk Analysis, Time Series Analysis and Forecasting, Project Management Life Cycle, MLOps (Machine Learning Operations), Marketing Analytics, Cash Flows, Business Analysis, Matplotlib, Descriptive Analytics, Statistical Analysis, Simulations, Random Forest Algorithm, Operations Research, Product Development

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Pittsburgh

      Master of Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Principios de ingeniería de software automatizada y ágil Certificado MasterTrack®

      Skills you'll gain: User Story, Maintainability, Test Automation, Software Testing, Version Control, Test Driven Development (TDD), Git (Version Control System), Software Architecture, Continuous Integration, Software Design, Unit Testing, Acceptance Testing, Usability, System Testing, Software Design Patterns, Web Content Accessibility Guidelines, Agile Software Development, Angular, Agile Project Management, Unified Modeling Language

      Credit offered

      Mastertrack · 6 - 12 Months

    1…339340341342

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

    • Master of Computer Science (feat. Data Science Track): University of Illinois at Urbana-Champaign
    • Maestría en Inteligencia Artificial: Universidad de los Andes
    • Database Management and Core Application Development: Packt
    • Advanced Architectural Modeling and Texturing: Packt
    • Certificado en Bases de la Salud Pública: Pontificia Universidad Católica de Chile
    • Maestría en Ingeniería de Software: Universidad de los Andes
    • Master of Science in Software Engineering: West Virginia University
    • Master of Science in Data Science: University of Colorado Boulder
    • Generative AI & Governmental Financial Reporting: Rutgers the State University of New Jersey
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes

    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.‎

    Online Scientific Computing courses offer a convenient and flexible way to enhance your knowledge or learn new Scientific Computing skills. Choose from a wide range of Scientific Computing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Scientific Computing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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.

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