Should they opt for artificial intelligence (AI), which is rapidly transforming businesses and the workforce? LinkedIn, for example, predicts that 70 percent of job skills will change by 2030, mainly due to AI, while the World Economic Forum reports that 86 percent of business leaders anticipate that AI will transform their organizations. Or perhaps they should choose the more traditional discipline of computer science. What’s the difference between the two anyway?  

Before choosing between computer science and AI, these future tech leaders should thoroughly understand each discipline and how they are interconnected. This will help them select a degree program that best serves their career plans and goals. Some advanced computer science degree programs offer AI-specific courses as part of their broader computer science curriculum. 

Computer Science and AI Defined 

Computer science is the broad study of computers and computing, encompassing all the elements that comprise computer systems. This field of study combines principles and theory with knowledge of the practical applications of algorithms, hardware, and software to build and improve computer systems. Other topics included as part of computer science are programming languages, data structures, and AI. 

As a computer science specialty, AI builds on the foundations of computer science but dives deeply into how systems carry out tasks that usually require human intelligence. This includes tasks such as understanding written language, analyzing data, and making recommendations. Individuals working in AI use technologies like deep learning and machine learning to develop systems that analyze, interpret, and process complex data. 

Similarities Between AI and Computer Science

While computer science degree programs have been a mainstay at colleges and universities for many decades, AI is emerging as a distinct discipline, and a notable increase has been seen in the number of AI degrees awarded over the past decade, according to CNBC. Comparing computer science versus AI, however, reveals how the two academic disciplines and related degree programs are linked.  

The overlap in skills required is one of the primary similarities between the two disciplines and their degree programs. Studying either computer science or AI helps professionals develop vital technology skills for their resume, especially foundational skills. Those include skills in the following areas: 

• Mathematics and statistics: Topics such as linear algebra and probability theory are important for anyone interested in AI or computer science. 

• Programming: Computer programming languages, such as Python, Java, and C++, are widely used in both disciplines. 

• Problem-solving: Designing computer and AI applications demands critical thinking capabilities and the ability to break down complex problems and solve them.  

The time it takes to complete the program is also generally similar across the two types of degrees. It varies depending on whether a student is enrolled full time or part time, but most computer science and AI bachelor’s degree programs can be completed in about four years, and most master’s degree programs can be completed in about two years. Many master’s programs, including part-time options, offer flexible schedules that enable students to work while pursuing their studies.  

Computer Science vs. AI Program Differences 

A deeper dive into computer science versus AI programs reveals differences primarily in the areas of curriculum and career pathways. 

Curriculum 

Although AI and computer science degree programs teach similar skills for designing computing systems, AI degree programs emphasize the use of machine learning and other models to enable systems to make informed decisions. Computer science degree programs are generally much broader in scope, focusing more on system design, optimization, and development. However, some computer science programs offer an emphasis in AI, allowing students to gain breadth and depth of knowledge in the subject.  

Career Pathways and Job Titles 

Computer science graduates usually pursue careers that involve designing and maintaining software systems or managing information technology (IT) infrastructure. Roles filled by computer science degree graduates include:  

• Software developer: Software developers design and build software applications that meet users’ needs, often working closely with programmers. The median annual salary for software developers is $133,080, according to the U.S. Bureau of Labor Statistics (BLS). Jobs for software developers are expected to grow 17 percent from 2023 to 2033. 
• Database administrator/architect: Database administrators and architects create, maintain, and secure databases to ensure they operate smoothly. They often work with computer information systems professionals to make sure the data is properly managed. The median annual salary for database administrators is $104,620 and for architects it is $135,980, according to the BLS. Employment of these professionals is projected to grow 9 percent from 2023 to 2033.  
• Computer systems analyst/architect: Systems analysts evaluate current IT systems and recommend improvements, often using data modeling to streamline processes. The BLS reports a median annual salary of $103,790 for systems analysts, and a projected job growth rate of 11 percent from 2023 to 2033. 
• Information security analyst: Information security analysts protect systems from cyberthreats by developing defenses and monitoring networks. The median annual salary for information security analysts is $124,910, according to the BLS, and jobs in this occupation are projected to grow 33 percent from 2023 to 2033.   

AI degree graduates typically fill roles that require expertise in model development, data analysis, algorithm optimization and integrating AI components into business operations. Typical roles include:  

• Data scientist: Data scientists analyze data to uncover trends and build predictive models, often supporting AI and machine learning efforts. The median annual salary for data analysts is $112,590, with jobs for these professionals projected to grow 36 percent between 2023 and 2033, according to the BLS. 
• Computer and information research scientists: These researchers develop new computing technologies and refine algorithms to solve complex problems. The median annual salary for computer and information research scientists is $140,910, according to the BLS. Employment in this profession is expected to grow 26 percent between 2023 and 2033.  

Prepare for the Future of AI and Computer Science 

As AI systems become more widespread, demand for AI specialists will continue to grow. Computer science and AI share core foundations, but AI extends those fundamentals into intelligent, data-driven systems. 

Professionals interested in advancing in their technology career should consider enrolling in the online Master of Science in Applied Computer Science program from SEMO Online. The program allows students to select courses in their areas of interest, including AI. In addition to a required course in advanced AI, electives include courses in machine learning and data mining. The curriculum also includes thesis research or a graduate project.  

SEMO Online has other courses for students interested in AI as well, such as a Bachelor of Science in Computer Information Systems, which offers AI and gaming tracks. 

Learn more about how SEMO Online can help you prepare for a career in today’s global tech landscape.