AI Didn’t Kill Computer Science.
It gave it a raise.
Artificial intelligence can generate complex code and create beautiful mockups, but computer scientists are still critical for the finished product. Computer scientists work with AI tools to design systems, solve complex problems, protect sensitive data, create ethical guardrails, and build intelligent products that consumers trust.
For students ready to build the next wave of tech, computer science is still a great career choice.
Degrees Designed for Builders
Industry data proves that computing career opportunities are growing because of AI, rather than being replaced by it. Neumont’s 3-year degree programs are created with input by industry leaders, meaning you’ll be learning the technical skills hiring managers need now.
Computer science by the numbers
As AI accelerates the speed of software development, employers need CS graduates who can design systems, evaluate results, solve complex problems, and guide AI technology responsibly. The data shows how a CS degree remains a great asset in this market:
A CS Degree Opens MORE Doors
A bachelor’s of computer science, particularly when paired with applied AI knowledge, can prepare you to succeed in a variety of different technology-related roles:
- AI Solutions Engineer
- Machine Learning Engineer
- AI Software Developer
- Cloud Engineer
- Systems Architect
- Cybersecurity Analyst
- Databade Architect
- QA & Automation Engineer
why CS Pros are betting on AI
The innovators building today’s most-used apps aren’t running from AI. They’re using it to enhance their productivity.
Building a Better World With AI
Across healthcare, transportation, finance, and beyond, AI development tools help skilled professionals solve big problems, move faster, and bring transformative ideas to life.
Accelerating Drug Discovery
Researchers used generative AI to identify a new target and design an experimental treatment for pulmonary fibrosis.
A randomized Phase 2a trial produced promising results, and will become the foundation for future PF therapies.
Assisting Materials Engineering
The AI system GNoME identified 381,000 new potentially stable crystal structures, a nearly 10x expansion of the previously known catalog.
Hundreds of its predicted structures have also been independently produced in labs.
Improving Weather Forecasting
The ECMWF launched its AI forecasting system in 2025. It reported gains of up to 20% on measures such as tropical-cyclone tracks, while using approximately 1,000x less energy than traditional forecasting methods.
Advancing Biological Research
The AlphaFold Database now serves more than 3.4 million users across 190 countries.
A 2026 expansion added 1.7 million high-confidence protein-complex predictions to help researchers study disease and develop new therapies.
AI Still Needs Computer Scientists
AI is not a magical replacement for all technical talent. Good automation depends on computer scientists who understand algorithms, software architecture, compliance, and the needs of real-world users.
AI-native organizations still need computer scientists to:
- Build and improve AI-powered products
- Train, evaluate, and monitor ML systems
- Protect AI platforms and sensitive data
- Connect AI models to business systems
- Detect errors, bias, and security vulnerabilities
- Design reliable cloud and data infrastructure
- Turn AI prototypes into working products
- QA New AI Technology
Neumont University was recently awarded the top spot on a list of bachelor’s-degree-granting institutions giving the highest ROI to low-income students in a RECENT STUDY PUBLISHED BY GEORGETOWN UNIVERSITY.
Neumont University was nationally recognized in 2025 as an Opportunity College; one of only 479 institutions across the U.S. designated for high student access and high alumni earnings by CARNEGIE CLASSIFICATION.
Ready to build your AI-enhanced tech career?
AI is quickly accelerating routine tasks, meaning strong technical judgment is even more valuable in today’s job market. Employers still need professionals who can identify issues, evaluate automation tools, assess AI-generated work, and guide safety protocols.
At Neumont, CS students are building the skills and confidence to lead a quickly evolving industry. Through project-based learning, strong computer science fundamentals, and assignments with AI coding tools, graduates are prepared to make an immediate impact and build thriving tech careers.