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Tech skills are in high demand. The explosion in artificial intelligence, cloud computing, and data science continues to transform business, healthcare, technology, and other major industries. And professionals with tech skills benefit from a high earning potential, with many job titles reporting six-figure median salaries.

What’s the difference when it comes to computer science vs. data analytics? While these tech disciplines overlap, the primary focus, core skills, steps to become professionals in these areas, and career paths may differ.Ìý

What Is Computer Science?

Computer science is the study of computer hardware, software, and computational processes. Within the broad field of computer science, professionals specialize in areas such as software development, cybersecurity, systems networking, and artificial intelligence.

Computer Science Skills

Working in computer science requires strong technical skills. Core skills in computer science include the following: 

Programming languages: Computer science requires strong programming skills. Many CS careers require multiple programming languages, such as JavaScript, C++, Python, and Java.

Computer theory: Theoretical computer science focuses on the principles behind computational processes, including algorithms and mathematical logic.Ìý

Software development: Understanding the software development life cycle, including planning, design, testing, and maintenance, is a key computer science skill. This includes system software and application software.

Careers in Computer Science

Tech professionals pursue diverse careers in computer science. Some common career paths include the following.

Software developer

Software developers design computer applications, mobile apps, and system software. They analyze software needs, design software, and test software code to ensure it runs as intended. The median annual salary (as of May 2024) is $133,080.

Information security analyst

Information security analysts design security features to protect sensitive data. They identify vulnerabilities, investigate security breaches, and train employees on cybersecurity protocols. The median annual salary (as of May 2024) is $124,910.

Computer programmer

Computer programmers write and test code under the direction of software engineers. Specialists in different programming languages ensure that software and applications run properly. The median annual salary (as of May 2024) is $98,670.

Web developer

Web developers construct websites, including back-end functions, the layout, and web applications. Primarily working in JavaScript, they create functional websites and digital interfaces.Ìý

The median annual salary (as of May 2024) is $90,930.

What Is Data Analytics?

Data analytics is a field that identifies patterns in data to provide insights for business decisions. Using analytics tools and techniques, data analytics can describe trends, improve productivity, and predict future outcomes.

Data Analytics Skills

Analyzing big data requires specialized skills. Core skills in data analytics include the following:

• Data collection and processing: Technical skills include collecting and analyzing data using statistical tools and data visualization software.Ìý
• Database management: Database design and management skills include organizing and storing data. In particular, data analytics often involves working with big data and using machine learning tools.Ìý
• Programming languages: Proficiency in programming languages such as R, Python, and SQL is necessary for careers in data science and analytics.

Careers in Data Analytics

Many industries rely on data analytics to make business decisions. Some common data analytics career paths include the following.Ìý

Data scientist

Data scientists analyze data for descriptive and predictive purposes. They use statistical modeling and algorithms to process big data and communicate their findings. The median annual salary (as of May 2024) is $112,590.

Business intelligence analyst

Business intelligence analysts evaluate data to identify industry trends and create forecasts. They also maintain business intelligence tools and databases. The median annual salary (as of May 2024) is $101,190.

Computer systems analyst

Computer systems analysts evaluate an organization’s IT and data management processes to recommend improvements. Using data modeling and other tools, they increase efficiency in computer systems. The median annual salary (as of May 2024) is $103,790.

Database administrator

Database administrators oversee database structures, including structuring raw data, training employees on database management systems, and implementing security features. The median annual salary (as of May 2024) is $104,620.

How to Choose Between Computer Science vs. Data Analytics

Computer science and data analytics intersect. Both require proficiency in programming languages. Both also require a strong understanding of database administration, data management, and data structures. Because the disciplines overlap, experienced tech professionals can switch between these fields.

However, the two fields differ in key ways. While computer science encompasses theoretical and practical applications, data analytics blends technology and business. Data analysts leverage industry-specific data so that business leaders can make data-driven decisions.Ìý

• Primary focus: Data analytics uses algorithms, machine learning, and statistical techniques, while computer science primarily emphasizes software development and computer engineering. Computer science is a broader field with more specialties.
• Core skills: Computer science requires strong technical and theoretical abilities, while data analytics requires an understanding of business and data science techniques. Data analytics uses data mining and data visualization tools, while computer science more broadly encompasses software engineering and systems design.
• Education requirements: Careers in computer science and data analytics typically require a bachelor’s degree and specialized coursework. A graduate degree can help data analytics and computer science professionals advance.Ìý
• Career paths: Data analytics skills can lead to opportunities in business analytics or in data-driven fields such as marketing, healthcare, and finance. Computer science skills can lead to roles in tech, including in software development or cybersecurity.

A degree in data analytics, computer science, or data science can lead to opportunities in data management and analytics. In addition to studying computer science or data analytics, students can consider a degree in computer information systems or business administration with a computer information systems concentration. At the graduate level, degree-seekers can earn a master’s in computer information systems.Ìý

Earn a Master’s in Data Science and Analytics at New PÕ¾ÊÓƵ College

Is data analytics a good fit for your skills and career goals? The Master of Science in Data Science and Analytics at New PÕ¾ÊÓƵ College develops advanced data interpretation and organization skills.Ìý

In the flexible, fully online program, master’s students study machine learning and data mining, with an emphasis on real-world applications. Hands-on experiences and individualized research opportunities prepare established and emerging data analysts for career advancement. Contact NEC today to learn more about the master’s in data science and analytics.Ìý

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