• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Computer Engineering

    Computer Engineering Courses Online

    Master computer engineering for developing computer systems and networks. Understand hardware and software integration, microprocessors, and embedded systems.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Earn a university-issued career credential in a flexible, interactive format.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Computer Engineering Course Catalog

    • N

      Northeastern University

      Master of Science in Data Analytics Engineering

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • I

      Imperial College London

      Master of Science in Machine Learning and Data Science

      Skills you'll gain: Data Ethics, Supervised Learning, Exploratory Data Analysis, Unsupervised Learning, Student Support and Services, PySpark, Data Pipelines, Linear Algebra, Ggplot2, Dimensionality Reduction, Student Services, Data Processing, Big Data, Agentic systems, Graphing, A/B Testing, Unstructured Data, Deep Learning, Bayesian Statistics, Applied Machine Learning

      Earn a degree

      Degree · 1 - 4 Years

    • U

      Universidad de los Andes

      Maestría en Inteligencia Analítica de Datos

      Skills you'll gain: Systems Thinking, Unsupervised Learning, Deep Learning, Network Analysis, Data Storytelling, Predictive Modeling, Data Visualization, Time Series Analysis and Forecasting, Marketing Analytics, MLOps (Machine Learning Operations), Financial Statement Analysis, Simulations, Data-Driven Decision-Making, Business Analysis, Descriptive Analytics, Exploratory Data Analysis, Analytics, Random Forest Algorithm, Operations Research, Stakeholder Engagement

      Earn a degree

      Degree · 1 - 4 Years

    • Status: New
      New
      G

      Google Cloud

      Integrar aplicativos com o Gemini 1.0 Pro no Google Cloud

      Skills you'll gain: Generative AI, Google Cloud Platform, Application Development, Cloud Applications, Cloud-Based Integration, Prompt Engineering, Application Programming Interface (API)

      Beginner · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Introducción a la Ciencia de Datos

      Skills you'll gain: Predictive Analytics, Data Cleansing, Unsupervised Learning, Exploratory Data Analysis, Supervised Learning, Data Visualization, Dimensionality Reduction, Descriptive Analytics, Visualization (Computer Graphics), Data-Driven Decision-Making, Data Processing, Data Science, Regression Analysis, Statistical Machine Learning, Data Integration, Data Visualization Software, Machine Learning Algorithms, Statistical Visualization, Machine Learning, Matplotlib

      Credit offered

      Mastertrack · 6 - 12 Months

    • Status: New
      New
      G

      Google Cloud

      運用 BigQuery 建立嵌入項目、向量搜尋和 RAG

      Skills you'll gain: Generative AI, Big Data, Applied Machine Learning, Query Languages, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

    • P

      Pontificia Universidad Católica de Chile

      Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio

      Skills you'll gain: Descriptive Analytics, Business Analytics, Statistical Reporting, Data Mining, Dimensionality Reduction, Statistical Modeling, Predictive Modeling, Predictive Analytics, Advanced Analytics, Data Analysis, R Programming, Big Data, Visualization (Computer Graphics), Business Intelligence, Analytics, Data Visualization, Data-Driven Decision-Making, Data Visualization Software, Statistical Visualization, Matplotlib

      Credit offered

      Mastertrack · 6 - 12 Months

    • N

      Northeastern University

      Master of Science in Information Systems

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    • U

      University of Huddersfield

      BSc Data Science

      Skills you'll gain:

      Earn a degree

      Degree · 1 - 4 Years

    Computer Engineering learners also search

    Computer Science
    Data Engineering
    Computer Science Projects
    Advanced Computer Science
    Big Data
    Big Data Analytics
    Beginner Big Data
    Big Data Projects
    1…608609610611

    In summary, here are 9 of our most popular computer engineering courses

    • Master of Science in Data Analytics Engineering: Northeastern University
    • Master of Science in Machine Learning and Data Science: Imperial College London
    • Maestría en Inteligencia Analítica de Datos: Universidad de los Andes
    • Integrar aplicativos com o Gemini 1.0 Pro no Google Cloud: Google Cloud
    • Certificado en Introducción a la Ciencia de Datos: Pontificia Universidad Católica de Chile
    • 運用 BigQuery 建立嵌入項目、向量搜尋和 RAG: Google Cloud
    • Certificado en Modelos Analíticos para la Toma de Decisiones de Negocio: Pontificia Universidad Católica de Chile
    • Master of Science in Information Systems: Northeastern University
    • BSc Data Science: University of Huddersfield

    Frequently Asked Questions about Computer Engineering

    Computer engineering is a discipline that combines aspects of electrical engineering and computer science to design, develop, and integrate computer systems and hardware components. It involves the study of computer architecture, digital systems, software development, and the interface between hardware and software. Computer engineers work on the design and implementation of computer systems, microprocessors, embedded systems, networking infrastructure, and other digital devices.‎

    To excel in computer engineering, you need to develop the following skills:

    • Programming: Proficiency in programming languages such as C++, Java, or Python to develop software applications and firmware for hardware systems.
    • Digital Systems Design: Knowledge of digital logic, Boolean algebra, and circuit design to develop and optimize digital systems and hardware components.
    • Computer Architecture: Understanding of computer organization, CPU design, memory systems, and input/output devices.
    • Microprocessors and Embedded Systems: Familiarity with microprocessor architecture, embedded systems design, and programming microcontrollers.
    • Hardware Design: Skills in designing and prototyping digital circuits, printed circuit boards (PCBs), and system-level hardware components.
    • Software Development: Ability to develop software applications, algorithms, and drivers for hardware interfaces.
    • Networking: Knowledge of computer networks, protocols, and network infrastructure design.
    • Signal Processing: Understanding of signal processing techniques for audio, video, and image processing applications.
    • Problem-Solving: Aptitude for analyzing complex problems, troubleshooting hardware and software issues, and proposing effective solutions.
    • Collaboration and Communication: Effective communication and teamwork skills to collaborate with engineers from different disciplines, present ideas, and work in project teams.‎

    With computer engineering skills, you can pursue various job opportunities, including:

    • Computer Hardware Engineer
    • Software Engineer
    • Embedded Systems Engineer
    • Network Engineer
    • FPGA Engineer
    • System Architect
    • Robotics Engineer
    • ASIC Design Engineer
    • Computer Systems Analyst
    • Research Scientist

    These roles involve designing and developing computer hardware systems, software applications, embedded systems, network infrastructure, and contributing to advancements in computer technology.‎

    Computer engineering is well-suited for individuals who possess the following qualities:

    • Strong Analytical Skills: Ability to analyze complex problems, identify system requirements, and propose effective solutions.
    • Mathematical Aptitude: Proficiency in mathematics, including calculus, linear algebra, probability theory, and discrete mathematics.
    • Curiosity and Continuous Learning: Eagerness to stay updated with the latest advancements in computer technology, emerging technologies, and industry trends.
    • Attention to Detail: Meticulousness in designing and testing hardware systems, considering factors such as power consumption, reliability, and performance.
    • Problem-Solving Orientation: Aptitude for breaking down complex problems, applying engineering principles, and developing innovative solutions.
    • Collaboration Skills: Ability to work effectively in teams, collaborate with engineers from different disciplines, and contribute to multidisciplinary projects.
    • Strong Work Ethic: Dedication, discipline, and a passion for designing and building computer systems.
    • Adaptability: Willingness to adapt to changing technology landscapes, new hardware architectures, and emerging paradigms.‎

    Several topics are related to computer engineering that you can study to enhance your skills and knowledge, including:

    • Digital Logic Design
    • Computer Organization and Architecture
    • Microprocessor Systems and Interfacing
    • Embedded Systems Design
    • Computer Networks and Communication
    • Operating Systems
    • VLSI Design and Testing
    • Computer Graphics and Visualization
    • Signal Processing and Multimedia Systems
    • Robotics and Automation

    Exploring these topics through online courses, academic programs, research projects, and practical applications will provide a comprehensive understanding of computer engineering concepts and techniques, enabling you to contribute to the design, development, and innovation of computer systems and technology.‎

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

    When looking to enhance your workforce's skills in Computer Engineering, 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.

    Other topics to explore

    Arts and Humanities
    338 courses
    Business
    1095 courses
    Computer Science
    668 courses
    Data Science
    425 courses
    Information Technology
    145 courses
    Health
    471 courses
    Math and Logic
    70 courses
    Personal Development
    137 courses
    Physical Science and Engineering
    413 courses
    Social Sciences
    401 courses
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Do Not Sell/Share
    Learn Anywhere
    Download on the App Store
    Get it on Google Play
    Logo of Certified B Corporation
    © 2025 Coursera Inc. All rights reserved.
    • Coursera Facebook
    • Coursera Linkedin
    • Coursera Twitter
    • Coursera YouTube
    • Coursera Instagram
    • Coursera TikTok