Computer Science Students See AI as Career Tool, Not Threat
East Carolina University computer science students and faculty are treating artificial intelligence as a practical skill for the job market, not an existential concern for their field.
Sarthak Acharya, a software engineering sophomore from Nepal, chose ECU partly because he wanted to study AI while living somewhere warm. He now works on a project using AI for infertility diagnostics with the biology department-a field he never studied in high school.
"AI is not here to replace humans," Acharya said. "It's going to help us by making our work efficient and faster."
Job Growth Outpaces Automation Fears
The Bureau of Labor Statistics projects software development and computer occupations will grow 11% to 15% through 2033. Dr. David Hart, an assistant professor in the Department of Computer Science who researches AI, said the students with the best prospects will be those who use AI to build complete products, not just those with technical knowledge.
"What it really enables us to do is think at a higher level," Hart said. "Instead of spending so much time on intricate details, you can spend more time on the big picture, letting AI help fill in those gaps."
Hart expects demand to grow in fields where computer scientists were rarely needed before: medicine, agriculture, and government. As organizations adopt AI systems, they'll need people who understand how to work with them and debug them.
AI Opens Doors Across Disciplines
Hart's own research uses AI to analyze eye images for early signs of medical conditions-detecting patterns a doctor wouldn't catch on their own. Acharya's biology collaboration shows how computer science students can now contribute to fields outside their training.
"Seeing my work influencing how it can help the biological field by tracking cells efficiently, faster than what a human can do manually-it's actually fun," Acharya said.
Hart frames AI as a partner in development. "If we can think of AI as this partner in the development cycle, then we can go out to fields we never thought about before," he said.
Credentials Matter
Acharya is pursuing an undergraduate certificate in artificial intelligence alongside his software engineering degree. The certificate covers machine learning, AI principles, and applied deep learning.
"The certification will show that I can work with AI and I know how AI works," Acharya said. "I think with the certification as proof, I will definitely be on a higher side for a student who will go into the field."
Hart said the certificate signals to employers that students are prepared for the future. AI Coding Courses and Generative AI and LLM Courses can provide similar grounding for professionals already in the workforce.
The Outlook
Acharya said openness to learning matters more than fear. "If you are open to learning, I think that will take you to those places where you were always scared of," he said.
Hart acknowledged the uncertainty. "It is a tumultuous time, but come a few years down the road, I think everyone's going to start seeing what AI can add to the table, not simply what it can take away," he said. "If they're willing to adapt and ready to jump into new fields, I don't think there's a reason to fear. I think the opportunities are going to open up."
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