What branch of computer science is AI?
Computer science is the holistic study of all aspects of computers, offering a generalist approach to topics ranging from algorithms and programming languages, to artificial intelligence (abbreviated as "AI") and machine learning. In short, artificial intelligence is a sub-discipline of computer science, and machine learning is a sub-discipline of artificial intelligence. Show
Once the realm of science fiction, decades of technological breakthroughs are bringing us closer to realizing artificial intelligence. Today, AI is often defined in two ways: first, as the scientific process of designing machines that are capable of human-like, inductive decision-making; and secondly, as the outcome, or the intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and other animals. The goals and functions of AI are similar to those of machine learning ("ML"), but they use a much wider range of techniques like deep learning, neural networks, robotics, and more. Machine learning is the science of designing autonomous ("self-thinking") software that can "learn" knowledge from big data to solve problems and make predictions at massive scale. Educational requirements and employment pathways vary for careers across computer science, artificial intelligence and machine learning. That’s why it’s important to identify your personal career goals and interests before pursuing an advanced degree program. What is Artificial Intelligence?Artificial intelligence is a sub-discipline of computer science. AI, as a whole, tries to enable computers to mimic human intelligence in order to solve complex problems and make decisions at scale, in a replicable manner. By designing specialized algorithms, computer scientists help machines teach themselves, simulating human cognitive functions. AI-equipped machines are able to gather and process big data from various sources, such as sensors or remote inputs, rapidly analyze the data, and then act on the insight gathered from that analysis.
- Read more about Rice CS's breakthrough machine learning research. The AI field draws upon computer science, mathematics, psychology, linguistics, philosophy and many others. Applications of artificial intelligence are innumerable, including healthcare and biomedicine, bioinformatics, physics, robotics, geosciences and more. What is Machine Learning?With AI/ML-related terms on the rise in job postings, many prospective students ask, how is machine learning similar to computer science, and is computer science the same as machine learning? Machine learning is one sub-discipline of artificial intelligence, which seeks to "learn" knowledge from big data to solve complex problems in a replicable, scalable manner. Machine learning experts develop "next gen" algorithms -- machine learning-based algorithms -- that enable computer systems to automate the basic algorithms computer scientists and software engineers design and implement today, without the need for as much manual human intervention. Within companies, data scientists and other R&D/innovation teams then use these ML tools as one way to uncover actionable insights from massive amounts of data they have about their business, customers and competitive landscape. Machine learning models promise greater precision, accuracy and efficiency, reducing much of the need for developers to manually program instructions for the machines. They're used daily to enhance decision-making in business, healthcare, law enforcement and finance. For example, machine learning algorithms are used for facial recognition, spam filters, and personalized search engine results. Ethical Considerations in CS's Artificial Intelligence and Machine Learning DisciplinesWhen considering a career in artificial intelligence or machine learning, it’s important to be aware of two dominant ethical concerns. First, human bias can and does make its way into AI/ML algorithmic models through training data that include subjective human decisions or historical social inequities. Secondly, growing regulatory scrutiny around the explainability of AI and machine learning models means that computer scientists and ML experts must document how their models work and make decisions in order to maintain trust and transparency. AI / ML vs Computer Science: Career Paths and Salary PotentialProfessionals with broad, versatile computer science and data science skills continue to grow in workplace demand globally. Careers in computer science are expected to grow by 11% from 2019-2029 according to the U.S. Bureau of Labor Statistics, making it one of the fastest-growing and highest demand occupations -- and AI/ML-related occupations are growing even faster. With a master's degree in computer science or data science, students will be able to earn a median salary of $126,830 per year. The national average U.S. salary for a Machine Learning Expert is $124,812. For AI Specialists, the average base U.S. salary is approximately $125,000. Also, because computer scientists' expertise extends well beyond individual programming languages, they're also well-positioned for the transition to machine learning based algorithms that negate the need for extensive manual coding and human-built software. What’s the Difference in Career Paths between Computer Science vs Machine Learning and Artificial Intelligence?Since computer science, AI and ML are core to the digital innovation transforming every industry, you'll find a broad range of tech, engineering and science roles requesting these skills. Here's a sample of relevant job titles: Types of AI Jobs Beyond machine learning, AI professionals often specialize in a range of fast-evolving AI methods and applications: natural language processing ("NLP"), robotics, deep learning, neural networks, cybernetics, bioinformatics, and more.
Types of Machine Learning Jobs Because machine learning presents so many practical and economical applications for companies and organizations, you'll often see these jobs called "applied" AI/ML.
Types of Computer Science Jobs Beyond pursuing jobs in AI and machine learning, other careers for those with computer science backgrounds include:
AI / ML vs Computer Science: Necessary Skills and Education PathsTo earn an entry-level role in artificial intelligence or machine learning, you'll need at least a bachelor's degree in computer science, with some basic exposure to the concepts of AI/ML and domain expertise. Skills requested in these job descriptions include:
With a master's degree in computer science or a master's degree in data science with a machine learning focus, professionals can advance their careers to mid- and senior-level positions. These programs will reinforce the math, statistics, algorithms and other AI/ML-specific knowledge required to succeed with confidence. What Skills are Needed for Broader Computer Science and Software Engineering?Computer science bachelor’s degree programs typically help you gain expertise in core computer science fundamentals. Entry-level jobs in computer science that require a bachelor’s degree can include computer systems analysts, software developers, web developers, and database administrators. Core competencies for the roles include:
Even with a bachelor's degree in computer science, it can be difficult to break into some of the best and fastest-growing tech companies. A Master of Computer Science can give candidates a competitive edge to help them stand out from their peers. The MCS@Rice program is designed to help you cultivate your talents and interests so you can launch an exciting career that allows you to help solve the complex and challenging problems of today and tomorrow. A Well-Rounded Degree, with Opportunity to PivotRice’s online Master of Computer Science was designed by our world-class faculty who are recognized for their achievements in teaching, their experience, and their thought leadership. Our rigorous, non-thesis curriculum helps you develop practical knowledge and real-world skills that make you well-versed in computer science and in demand by employers. Along with important core courses, you’ll also gain differentiating competencies like:
Learn more about how the MCS@Rice online degree program can meet your goals for a rewarding career. Explore our curriculum offerings and our best-in-class student experience. Demand is surging for computer science skills across industries and applications. × What part of computer science is AI?Artificial intelligence is a sub-discipline of computer science. AI, as a whole, tries to enable computers to mimic human intelligence in order to solve complex problems and make decisions at scale, in a replicable manner.
What field is AI under?Artificial intelligence (AI) is the field of computer science that focuses on developing intelligent computer systems, or systems that display the features we associate with intelligence in human behaviour, such as language comprehension, learning, reasoning, problem solving, etc.
Is AI a branch of computer engineering?Artificial Intelligence (AI) is the branch of computer science and engineering that emphasizes the development of intelligence machines, thinking and working like humans. For e.g. speech recognition, problem-solving, learning and planning.
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