Kodeclik Blog
Six Reasons why a Computer Science Degree is still worth it in the Age of AI
With the rise of Artificial Intelligence (AI)—especially large language models (LLMs) capable of generating code—many are asking: Is a computer science degree even necessary anymore?
Recent articles in outlets like the New York Times highlight the growing role of A.I. in automating junior coding jobs and intensifying competition for entry-level tech roles. Yet, these same discussions also underline just how much more there is to computer science than the mechanics of coding alone.
TL;DR: The answer is a resounding yes!
Here are six reasons why a computer science degree is still worth it..
1. CS is more than coding.
A computer science degree dives deep into the theory and principles of how computers work—including algorithms, data structures, systems, and security. For example, understanding how Google’s search engine ranks pages or how data encryption keeps online payments secure goes far beyond “just writing code.” CS also bridges disciplines: biology students use computational modeling to analyze gene sequences, economists use big data to forecast trends, and artists use AI in the creative arts. This breadth makes CS knowledge relevant in almost every major field today.
2. CS emphasizes frameworks, teams, and design.
Computer cience students learn how to build and design complex systems by collaborating on teams, using frameworks, and practicing version control—skills companies need to develop real-world software. You’ll gain experience in project management, design thinking, and peer review. For example, many classes require group projects modeled after real software workflows, where communication and design decisions matter just as much as the code itself.
3. A CS degree outlines a pathway to a software career.
It’s true: a CS diploma by itself doesn’t guarantee you’ll be ready for your dream job. You need to build real projects—ideally with a public GitHub repository full of substantial contributions—that show you know how to design, test, and deliver working systems. Employers look for candidates who can explain the “why” behind their code and demonstrate consistent, collaborative work, whether through open-source pull requests, hackathon projects, or internships. Evidence of real-world experience sets you apart from both fellow graduates and self-taught developers.
4. A CS degree can be a signal.
A CS degree acts as a shortcut for hiring managers: it shows you’ve stuck with a tough subject and learned a range of skills. When applying for jobs, a degree helps your resume get noticed—especially by companies and recruiters who use software to automatically filter applicants. It opens doors not just to software engineering, but fields like AI research, data science, cybersecurity, and more. If you ever change your mind about your career, your CS foundation lets you switch tracks without starting from scratch.
5. AI might not replace humans but humans using AI will replace humans who do not.
Some worry that as LLMs become common in coding, programmers might be replaced. However, studies show LLMs are best used as tools for accelerating routine tasks—not replacing creativity, design, testing, project management, or requirements engineering. As A.I. gets integrated into development, humans will focus more on defining requirements, system architecture, ethical decisions, and quality assurance. Fields such as robotics, medicine, and advanced analytics all demand human judgment and the ability to connect theory with practice—skills a CS degree develops.
6. CS is a doorway to innovation.
CS is not all coding. It covers advanced math, algorithms, and theoretical foundations. These are crucial for anyone hoping to push the boundaries of AI, design new machine learning methods, or break into fields like natural language processing, quantum computing, or big data analytics. You need this background to move from simply using AI tools to creating them—and that’s where the future’s most exciting jobs will be.
Summary
Ultimately, the “is it worth it?” question is context‑dependent: goals like research or graduate school, visa and immigration needs, geographic hiring norms, access to internships and on‑campus recruiting, and individual learning preferences all change the calculus. For those targeting academia, research labs, or roles in countries or companies that require degrees, a CS program is often the pragmatic choice!
Explore coding courses at Kodeclik to give you a headstart! Choose from block-based languages to textual languages like Python and Javascript!
