Artificial intelligence (AI) is reshaping a number of industries, including health care, financial services, manufacturing, communications, and supply chain management. But if one field has been truly revolutionized by the very technology it created, it’s computer science.

What does this new technology mean for the future of the field? Will AI replace computer engineering or make coding obsolete? What should budding computer scientists know about artificial intelligence before they enter the field?

We sat down with Deanne Larson, PhD, faculty member in the Purdue Global School of Business and Information Technology, to learn more about AI and its impact on computer science.

How Does AI Fit Into the Computer Science Ecosystem?

Artificial intelligence is considered a discipline of computer science. While computer science covers the study of computer systems, software, algorithms, systems research, and information security, AI refers to the branch of computer science dedicated to simulating human thinking and decision-making.

“With the advent of AI, instead of writing programs where every rule is spelled out step-by-step, much of today’s work is about building systems that learn from data and make ‘best guess’ decisions,” says Larson. “That shift is showing up everywhere, from software development and cybersecurity to databases and how people interact with technology.”

It is also changing everyday coding since AI tools can help generate code, find bugs, run tests, and improve performance.

“Because of that, computer science programs are adding more machine learning, data skills, and AI ethics on top of the usual foundations like algorithms and operating systems,” Larson says.

Will Computer Engineering Be Replaced by AI?

It is a common misconception that AI will replace computer scientists or make coding obsolete.

“It is really doing the opposite,” Larson says. “We still need people to design systems, handle and clean data, test and improve models, keep everything secure, and run the infrastructure behind it.”

Another misconception is that AI is just chatbots and text generators.

“AI also includes image recognition, language translation, robotics, prediction, and optimization,” says Larson. “AI isn’t removing the need for computer science. It is making the field bigger and increasing the need for people who understand how to build technology responsibly.”

Is Computer Science Still a Good Career Field?

“Computer science is still a strong career choice,” Larson says. “In many ways, AI is making it even more important.”

Companies need people who can build reliable systems, keep networks secure, design efficient software, and run cloud platforms that can scale, all of which are classic computer science skills.

According to the U.S. Bureau of Labor Statistics (BLS), overall employment in computer and information technology occupations will grow much faster than the average for all occupations from 2024 to 2034.

“AI is also creating new paths in areas such as machine learning engineering, data engineering, AI governance, and model operations,” says Larson. “If anything, the demand for basic, entry-level coding roles [may be declining] as AI tools become increasingly capable of handling routine programming tasks.”

This, Larson points out, gives hiring advantages to candidates who can think like engineers, understand systems, work with AI responsibly, and solve real problems.

What to Consider About a Career in Computer Science in the Age of AI

Computer science isn’t just about coding; it’s about solving complex problems. If this sounds intriguing to you rather than frustrating, you might be headed in the right career direction.

“Students should really think about whether they enjoy solving tough problems and thinking in a logical way,” says Larson. “They should also ask themselves if they’re comfortable working with abstract ideas such as algorithms, data structures, and how systems are designed behind the scenes. With AI in the mix, it is important to be curious about how intelligent systems actually work and how to use them responsibly.”

Students should be willing to be lifelong learners. Technology changes fast in this field.

“New AI tools, frameworks, and research seem to pop up constantly, so it can feel overwhelming trying to keep up,” says Larson. “This field definitely requires lifelong growth and commitment.”

At the same time, students still have to build a strong foundation in core computer science concepts, which takes time and focus. A bachelor’s degree in applied computer science will teach you:

  • Foundational and evolving concepts of computer science
  • How to analyze computer systems, create software applications, and find solutions to various IT problems
  • How to make ethical decisions regarding the use of AI, including matters of bias, privacy, transparency, and how AI systems impact real people

“On top of that, large AI models are technically complex and require knowledge of data pipelines, cloud systems, and computing resources. It’s challenging, but that’s also what makes the field exciting,” Larson says.

How to Get Started Working With AI

Larson suggests students first focus on acquiring strong basic skills in programming, data structures, algorithms, and databases.

“Then, if you’re interested in AI, having a working understanding of statistics, linear algebra, and probability makes a big difference,” Larson says. “On the technical side, it also helps to be comfortable with Python, cloud platforms, APIs, and version control tools such as Git.”

And don’t underestimate how important soft skills are to being successful in this field.

“Soft skills matter just as much,” Larson says. “Being able to think critically, communicate clearly, work on a team, and adapt quickly is huge. You also need to think ethically and understand the real-world impact of the systems you build.”

>>Read More: The Top 8 Soft Skills That Employers Want

What Can You Do With a BS in Applied Computer Science?

Most computer science occupations require at least a bachelor’s degree, the BLS reports. Earning a Bachelor of Science in Applied Computer Science prepares you to become a:

  • Computer and information systems manager
  • Information security analyst
  • Computer programmer
  • Software developer
  • Software quality assurance analyst and tester

“Get hands-on practice while earning your degree,” Larson says. “Working on side projects, joining hackathons, applying for internships, or getting involved in research helps turn theory into real experience. Get involved in open-source projects. Students shouldn’t just use AI tools blindly. They should question the results and understand the limits.”

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