The Most Popular Field in Computer Science: Revealing the Top Choices

Choose the Field you think is the most popular!

Author: Gregor Krambs
Jun 16, 2023 10:18 (Updated on Dec 1, 2023 11:28)
Dive into the dynamic world of Computer Science and make your voice heard in our latest StrawPoll ranking: "What is the most popular field in Computer Science?" With countless innovations and breakthroughs taking place every day, it's time for you to weigh in and showcase your passion for the digital realm! Explore the fascinating variety of fields, from Artificial Intelligence to Cybersecurity, Software Development to Data Science, and everything in between. Cast your vote for your favorite, or champion an underrepresented field by adding your own suggestion. Don't miss your chance to influence the future of technology and join the exciting conversation – let's discover the pulse of the Computer Science community together, right here on StrawPoll!

What Is the Most Popular Field in Computer Science?

  1. 1
    AI has been gaining popularity in recent years, with a focus on machine learning and natural language processing. AI is being used in many industries such as healthcare, finance, and transportation.
    Artificial Intelligence (AI) is a branch of computer science that focuses on the development of intelligent machines capable of performing tasks that typically require human intelligence. It involves the creation of algorithms and models that enable computers to learn from and adapt to data, make informed decisions, and perform complex cognitive tasks. AI is often used in various domains, including military technology, to enhance decision-making capabilities, optimize resource allocation, and enable autonomous operations.
    • Processing Power: AI systems utilize advanced processing units, such as CPUs or GPUs, to handle complex computations at a rapid pace.
    • Machine Learning: AI algorithms leverage machine learning techniques to extract valuable insights from data, enabling adaptive and predictive functionality.
    • Natural Language Processing (NLP): AI systems can understand and generate human language, allowing for seamless interaction with users through voice or text-based interfaces.
    • Computer Vision: AI technologies employ computer vision techniques to interpret and understand visual information, enabling object recognition and image analysis.
    • Autonomous Decision-Making: AI systems can analyze complex situations, consider multiple variables, and make informed decisions with minimal human intervention.
    Artificial Intelligence in other rankings
  2. 2
    Data Science
    Calvin.Andrus · CC BY-SA 3.0

    Data Science

    William S. Cleveland
    Data Science is the study of data, and how it can be used to make informed decisions. It involves statistics, machine learning, and computer science. With the growth of big data, data science has become an important field in many industries.
    Data Science is an interdisciplinary field that involves extracting insights and knowledge from complex and large datasets using a combination of statistical analysis, machine learning techniques, and computational methods. It focuses on understanding and interpreting data to make informed business decisions and solve real-world problems.
    • Interdisciplinary: Combines knowledge from statistics, mathematics, computer science, and domain-specific fields.
    • Data Analysis: Involves collecting, cleaning, and preprocessing data for analysis.
    • Statistics: Utilizes statistical techniques for interpreting and drawing conclusions from data.
    • Machine Learning: Applies algorithms and models to train systems to automatically learn patterns and make predictions.
    • Data Visualization: Employs visual representations of data to communicate insights effectively.
    Data Science in other rankings
  3. 3
    Cybersecurity is the practice of protecting computer systems from theft or damage to their hardware, software, or electronic data. With the increase in cyber attacks, the demand for cybersecurity experts has grown.
    Cybersecurity is the practice of protecting computers, servers, mobile devices, networks, and data from digital attacks, theft, damage, and unauthorized access. It involves implementing various measures and strategies to ensure the confidentiality, integrity, and availability of information, as well as the resilience of the systems and infrastructure. Cybersecurity aims to safeguard against a wide range of threats, including malware, phishing attacks, hacking attempts, data breaches, and more.
    • Encryption: Protecting data by encoding it in a way that unauthorized parties cannot interpret it.
    • Firewalls: Implementing network security systems to filter and block unauthorized access and traffic.
    • Intrusion Detection and Prevention Systems (IDPS): Monitoring and detecting potential intrusions or attacks, and taking preventive actions.
    • Access Control: Managing user permissions and privileges to ensure authorized access and reduce insider threats.
    • Vulnerability Management: Identifying, prioritizing, and managing vulnerabilities and weaknesses in systems and software.
  4. 4
    Software Engineering
    Aflafla1 · CC0
    Software engineering is the process of designing, developing, testing, and maintaining software. With the growth of software in many industries, software engineering has become an important field.
    Software Engineering is a field within Computer Science that focuses on the systematic, disciplined, and quantifiable approach to the development, maintenance, and operation of software systems. It involves applying engineering principles and practices to software development, aiming to create high-quality, reliable, and scalable software solutions.
    • Process-oriented approach: Software Engineering emphasizes the use of structured and systematic processes throughout the software development lifecycle.
    • Requirements analysis: Defining and understanding user requirements and converting them into functional specifications is a critical aspect of Software Engineering.
    • Design methodologies: Software Engineering employs various design methodologies to create efficient and maintainable software architectures.
    • Software testing: Quality assurance and software testing are integral parts of Software Engineering to identify and fix defects in the software.
    • Software maintenance: Addressing software bugs, adding new features, and adapting software to evolving requirements are essential activities in Software Engineering.
    Software Engineering in other rankings
  5. 5

    Computer Networks

    Donald D. Knuth
    Computer Networks is the study of how computers and devices communicate with each other. With the growth of the internet, computer networks have become an important field.
    Computer Networks is a branch of Computer Science that deals with the study of interconnected computer systems and their communication. It involves understanding the design, implementation, and management of network infrastructures to facilitate data exchange between devices and enable the sharing of resources and information.
    • TCP/IP Protocol Suite: The widely used set of protocols for connecting devices on the internet.
    • LANs and WANs: Local Area Networks (LANs) and Wide Area Networks (WANs) provide different scales of network connectivity.
    • Routing Algorithms: Algorithms that determine the best path for data packets to travel across networks.
    • Network Security: Methods and technologies used to protect networks from unauthorized access and data breaches.
    • Wireless Networking: Technologies such as Wi-Fi and Bluetooth that enable wireless communication between devices.
    Computer Networks in other rankings
  6. 6
    Computer Graphics
    NASA/JPL/Corby Waste · Public domain

    Computer Graphics

    Ivan Sutherland
    Computer Graphics is the study of how to create images using computers. With the growth of the gaming industry, computer graphics has become an important field.
    Computer Graphics is a field in Computer Science that involves the creation, manipulation, and representation of images and animations using computers. It focuses on the generation of visual content through algorithms and techniques that simulate real-world objects and phenomena.
    • Rasterization: The process of converting vector graphics or descriptions into a raster image.
    • 3D Modeling: Creating a three-dimensional representation of objects or scenes.
    • Rendering: The process of generating a 2D image from a 3D model, including shading, texturing, and lighting.
    • Animation: Creating the illusion of motion by displaying a sequence of images in rapid succession.
    • Virtual Reality (VR): Simulating a virtual environment that allows users to interact with computer-generated content.
  7. 7

    Human-Computer Interaction

    Douglas Engelbart
    Human-Computer Interaction is the study of how people interact with computers. With the growth of technology, human-computer interaction has become an important field.
    Human-Computer Interaction (HCI) is a field in Computer Science that focuses on the design, development, and evaluation of user interfaces between humans and computers. It aims to create intuitive and efficient interactions by understanding the needs and capabilities of users, and designing interfaces that are easy to use and understand.
    • Usability: HCI aims to improve the usability of computer systems by ensuring interfaces are intuitive and user-friendly.
    • User-Centered Design: HCI emphasizes the importance of involving users throughout the design process to create interfaces that meet their needs.
    • Information Architecture: HCI focuses on organizing and presenting information in a clear and coherent manner to facilitate effective user interaction.
    • Accessibility: HCI considers the needs of users with disabilities and aims to create interfaces that are accessible to a wide range of users.
    • User Experience: HCI aims to create positive user experiences by understanding user emotions, motivations, and behaviors during interactions with computer systems.
  8. 8

    Database Management

    Dr. E. F. Codd
    Database Management is the study of how to store, organize, and retrieve data. With the growth of big data, database management has become an important field.
    Database Management is a field in Computer Science that involves the design, implementation, and management of databases. It encompasses various techniques and methodologies for organizing, storing, retrieving, and manipulating data efficiently and securely.
    • ACID Properties: Atomicity, Consistency, Isolation, Durability
    • Relational Model: Data stored in tables with relations between them
    • SQL (Structured Query Language): Standard language for managing relational databases
    • Database Normalization: Process of organizing data to reduce redundancy and improve data integrity
    • Transaction Management: Ensures reliable processing of concurrent database operations
  9. 9

    Computer Architecture

    John von Neumann
    Computer Architecture is the study of how computer systems are designed and built. With the growth of technology, computer architecture has become an important field.
    Computer Architecture is a branch of Electrical Engineering that deals with the design, organization, and implementation of computer systems. It encompasses the structure, behavior, and functionality of computer hardware and software components.
    • Instruction Set Architecture (ISA): Defines the set of instructions that a processor can execute
    • Memory Hierarchy: Organizes different levels of memory with varying speeds and capacities
    • Parallelism: Includes concepts like pipelining and multi-threading to execute instructions simultaneously
    • Caches: Fast small memory units that store frequently accessed data
    • Input/Output (I/O): Handles communication between the computer and external devices
    Computer Architecture in other rankings
  10. 10

    Computer Vision

    David Marr
    Computer Vision is the study of how computers can interpret images and video. With the growth of machine learning, computer vision has become an important field.
    Computer Vision is a field of Computer Science that focuses on enabling computers to gain high-level understanding from visual data, such as images and videos. It involves developing algorithms and techniques to extract meaningful information from visual inputs and take actions or make decisions based on that understanding.
    • Image Recognition: Ability to recognize and classify objects or patterns within images.
    • Object Detection: Capability to localize and identify specific objects within an image.
    • Image Segmentation: Process of partitioning an image into multiple segments to simplify its representation.
    • Pose Estimation: Determination of the spatial position and orientation of objects in an image.
    • Video Tracking: Tracking the movement and behavior of objects within a video sequence.

Missing your favorite Field?


Ranking factors for popular field

  1. Job demand and employment opportunities
    A popular field in computer science typically has a high demand for professionals and offers a wide range of job opportunities.
  2. Salary and potential earnings
    A popular field generally leads to higher salaries and growth potential for professionals working in that area.
  3. Industry growth and trends
    A popular field in computer science is usually aligned with growing industries or emerging technology trends that have significant growth potential in the coming years.
  4. Innovation and impact on society
    A popular field in computer science tends to have a significant impact on society and the way we live and work, driving innovation and technological progress.
  5. Research and publications
    A popular field in computer science is often associated with an extensive volume of research publications and cutting-edge advancements, showcasing its academic significance.
  6. Educational offerings and programs
    A popular field usually has a wide range of educational programs and courses offered by top universities and institutions worldwide, indicating its prominence in the world of academia.
  7. Support from industry leaders
    A popular field often receives support from major tech companies, startups, and investors who contribute to its growth and development with funding, partnerships, and collaborations.
  8. Community size and engagement
    A popular field in computer science usually has a large and active community of researchers, practitioners, and enthusiasts who engage in discussions, conferences, and events focused on the field.
  9. Recognition and awards
    A popular field often gains recognition through prestigious awards, honors, and recognitions bestowed upon researchers, projects, and advancements in the field.
  10. Interdisciplinary nature and applicability
    A popular field in computer science is characterized by its variety of applications and connections to other fields, making it attractive to a larger audience of researchers and professionals.

About this ranking

This is a community-based ranking of the most popular field in Computer Science. We do our best to provide fair voting, but it is not intended to be exhaustive. So if you notice something or Field is missing, feel free to help improve the ranking!


  • 199 votes
  • 10 ranked items

Voting Rules

A participant may cast an up or down vote for each Field once every 24 hours. The rank of each Field is then calculated from the weighted sum of all up and down votes.

More information on most popular field in computer science

Computer Science has emerged as one of the most popular fields in the world, attracting millions of students and professionals alike. The field encompasses a wide range of topics, including programming, algorithms, data structures, computer architecture, artificial intelligence, and more. Over the years, Computer Science has become increasingly important in today's digital age, with the demand for skilled professionals growing at an exponential rate. From software development to cybersecurity, the field offers a plethora of career options for those interested in pursuing a career in technology. As technology continues to evolve at a rapid pace, it is no surprise that Computer Science remains one of the most popular fields of study. With its vast scope and endless possibilities, it offers an exciting and dynamic career path for those with a passion for technology and innovation.

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