Data Science vs. Computer Science

Studying either data science or computer science can lead to vast career opportunities.

Despite their similar names, each of these two disciplines covers a different area of expertise. Data science focuses on transforming raw data into meaningful insights. Computer science centers on the design, development, and application of computer systems and software.

A data scientist works on a computer in an office.

Understanding the differences between data science and computer science is the first step toward choosing the discipline that best aligns with one's career goals. An advanced degree in data science or computer science is one of the most effective ways to build the specialized knowledge and skills needed to get there.

What Is Data Science Used For?

Data science is used to analyze and interpret large volumes of data to generate insights that can inform organizational decision-making.

Data science professionals collect data from sources such as databases, user interactions, and surveys. They then apply statistical analysis, machine learning models, and data analytics tools to identify patterns and trends in the data. They use data visualization tools to translate these insights into clear, accessible outputs that both technical and nontechnical stakeholders can understand.

The information provided by data science professionals is used by the organization to improve their operations, forecast outcomes, and guide strategy.

What Is Computer Science Used For?

Computer science is used to design and develop computer systems for theoretical and practical applications.

Computer science professionals build software, programming languages, and the infrastructure that powers modern technology. They also research computational methods and work to improve the performance, security, and scalability of the systems that organizations depend on every day.

Given how broad their technical expertise is, computer science professionals can choose from a wide range of technology roles across industries.

Data Science vs. Computer Science: Degree Requirements

Coursework in data science and computer science degree programs overlaps in areas such as artificial intelligence (AI) and software engineering, but the structure and emphasis of each program’s curriculum differ. Data science programs tend to focus more heavily on statistical analysis, data modeling, and working with large datasets. Computer science programs emphasize programming, system design, and software development.

Common data science course topics include:

Data mining

Data analytics

Database systems

Statistical learning

Data science programs may offer electives in specific areas, such as cloud computing, machine learning, artificial intelligence, or advanced mathematics.

Common computer science course topics include:

Operating systems

Programming

Information technology

Cybersecurity

Computer science programs may offer specializations in areas such as computer programming, software engineering, or system analysis.

Data Science vs. Computer Science: Career Outcomes

Earning a degree in data science or computer science can lead to a variety of career paths, each potential role reflecting the unique degree’s core focus.

Data Science Degree Career Outcomes

Graduates with a data science degree may pursue roles such as:

Data scientist: Collects and analyzes data from relevant sources, such as databases, surveys, and web scraping. Uses data visualization software to present insights in a clear, accessible format.

Machine learning engineer: Designs and develops machine learning models that automate tasks and improve predictions using large datasets. This role often combines data science and software engineering skills.

Statistician: Designs surveys and studies to collect data. Analyzes and interprets the data results to identify trends and inform decisions.

Computer Science Degree Career Outcomes

Graduates with a computer science degree may pursue roles such as:

Software developer: Designs and builds applications for computers, mobile devices, and other platforms. May also contribute to the development of operating systems.

Database administrator: Manages and maintains databases that store critical information, ensuring systems are secure, reliable, and accessible to authorized users.

Web developer: Uses programming languages and frameworks to develop and maintain websites and web applications.

Data Science vs. Computer Science: Salary and Job Outlook

Salary and job outlook information for data science and computer science roles vary by position. However, both fields offer competitive pay and are expected to see steady growth. The following salary and job growth figures are based on data from the U.S. Bureau of Labor Statistics (BLS).

Data Science Salary and Job Growth Data

Here are the median annual salaries and projected job growth rates for two common data science roles:

Data scientist (including machine learning engineer):

Salary: $112,590 as of May 2024

Projected job growth: 34 percent between 2024 and 2034, significantly faster than the average

Statistician:

Salary: $103,300 as of May 2024

Projected job growth: 9 percent between 2024 and 2034, triple the average

Computer Science Salary and Job Growth Data

Here are the median annual salaries and projected job growth rates for three common computer science roles:

Software developer:

Salary: $133,080 as of May 2024

Projected job growth: 16 percent between 2024 and 2034, much faster than the average

Database administrator:

Salary: $123,100 as of May 2024

Projected job growth: 4 percent between 2024 and 2034, as fast as the average

Web developer:

Salary: $90,930 as of May 2024

Projected job growth: 8 percent between 2024 and 2034, nearly triple the average

Planning Your Career in Tech

Comparing data science vs. computer science and understanding what sets them apart can help individuals decide which area and education program best align with their career goals. Those interested in extracting meaning from large datasets should consider pursuing a data science degree.

SEMO Online’s Master of Science in Data Science degree program can help you build proficiency in methods for gathering, analyzing, and interpreting data. Offered in a HyFlex (hybrid flexible) format with online and in-person learning options, this 30-credit-hour program allows you to pursue electives in specialized areas, like cloud computing, machine learning, AI, and advanced mathematics. Data science internships are also available, providing you with essential hands-on learning to succeed in your career.

Learn more about technology degree programs, such as advanced cybersecurity and applied computer science. Discover your next career step with SEMO Online.

Recommended Readings

Computer Information Systems vs. Computer Science

Computer Scientist Career Path

How to Get Into Business Data Analytics

Sources:

Indeed, “Is a Computer Science Degree for You? Top Majors and Jobs”

Indeed, “Learn About Being a Data Scientist (with Helpful Skills)”

Indeed, “What Is a Computer Scientist? Duties and Requirements”

Indeed, “What Is a Machine Learning Engineer? (and How to Become One)”

U.S. Bureau of Labor Statistics, Database Administrators and Architects

U.S. Bureau of Labor Statistics, Data Scientists

U.S. Bureau of Labor Statistics, Mathematicians and Statisticians