For most of the last few years, artificial intelligence has been treated by universities as a supplementary skill—a set of tools added to a computer science degree or a specialized elective for business students. But at Louisiana State University, the perspective is shifting. The university is moving beyond treating AI as a feature of software and instead treating it as a foundational discipline.
Starting in the fall of 2026, LSU will begin offering a bachelor’s degree in Artificial Intelligence through its College of Engineering. The move makes LSU the first university in Louisiana to offer a dedicated undergraduate degree in the field, signaling a strategic pivot to prepare the Gulf South workforce for an economy where AI is no longer an optional advantage, but a baseline requirement.
As a former software engineer, I’ve seen the industry struggle to bridge the gap between those who can “prompt” an AI and those who actually understand the underlying architecture. LSU’s approach appears designed to close that gap. Rather than simply teaching students how to use existing large language models (LLMs), the program is built to train engineers who can build, secure and refine the systems themselves.
The curriculum is an ambitious overhaul of the traditional computer science path. The university’s computer science department has developed 20 new courses to support the degree, blending heavy mathematical foundations with practical engineering and a critical focus on ethics. This ensures that students aren’t just learning the “how” of AI, but the “should” and the “why.”
Building the Surfboard: The Architecture of the Program
The philosophy behind the new degree is best captured by Ibrahim Baggili, the Chair of the Computer Science and Engineering Division. In discussing the rapid evolution of the field, Baggili noted that while many people are currently “riding the wave” of AI, LSU is focusing on “building the surfboard.”
The program, architected by Assistant Professor Dr. James Ghawaly, moves students through a rigorous progression. It begins with the fundamental mathematics and computer science principles required to understand neural networks and machine learning, then expands into specialized electives. These include courses on AI security—a critical area as adversarial attacks on AI models become more common—and systems engineering, which teaches students how to deploy AI at scale.
Vicki Colvin, Dean of the College of Engineering, emphasized that the four-year commitment is necessary because AI is too complex to be captured in a certificate or a few semesters of study. By creating a dedicated degree, the university is acknowledging that AI engineering requires its own unique pedagogical approach, distinct from general software development.
From Theory to the Job Site
While the full degree doesn’t launch until 2026, LSU has already begun integrating AI-centered coursework into its current offerings. The results suggest a heavy emphasis on “applied AI,” where students solve real-world problems for local businesses rather than working on theoretical datasets.
In one recent AI and Large Language Models course, students Samuel Vekovius and Chase Henderson collaborated with a construction contractor to build a risk detection system. By creating a specialized “risk engine,” the students developed a tool that allows contractors to identify job site hazards more quickly, aiming for “zero-incident operations.” This project highlights a key trend in the program: moving AI out of the cloud and into physical, high-stakes environments like construction sites.
Other students are focusing on the intersection of AI and project management. Dow Draper, for example, worked with Neighbors Federal Credit Union in Baton Rouge. His work focused on the “value-add” of AI—taking existing technology like Gemini or ChatGPT and figuring out how to implement it within a corporate structure to generate actual business value. This requires a dual skill set: the technical ability to manage the AI and the managerial ability to act as a liaison between engineering teams and corporate stakeholders.
The interest in these tools is already crossing disciplinary lines. Students from the College of Business and the College of Agriculture have expressed a need for this literacy, noting that the rapid pace of technological change is affecting every sector of the economy, from crop yields to financial forecasting.
A Long-Term Roadmap for AI Literacy
LSU is not limiting its AI ambitions to undergraduate students. The university is planning a tiered rollout of AI education designed to serve both future engineers and current industry professionals.
| Timeline | Program Offering | Primary Target Audience |
|---|---|---|
| Fall 2026 | Bachelor’s in Artificial Intelligence | Undergraduate Engineering Students |
| Expected 2027 | Master’s in Applied AI | Industry Professionals & Career Switchers |
| Coming Years | AI Minor | Non-Engineering Majors (Business, Ag, etc.) |
The proposed Master’s in Applied Artificial Intelligence, expected to be announced in 2027, is specifically designed for those already in the workforce. The goal is to allow professionals to bring their own industry-specific problems to the university and learn how to apply AI to their existing business models.
By offering a minor in the coming years, the university also aims to democratize AI literacy. Whether a student is studying agricultural science or accounting, the ability to understand AI’s capabilities and limitations will likely be a prerequisite for employment in the next decade.
The next major milestone for the program will be the official rollout of admissions for the Fall 2026 cohort, followed by the anticipated 2027 announcement regarding the Master’s in Applied AI.
Do you think a dedicated AI degree is necessary, or should AI remain a specialization within Computer Science? Share your thoughts in the comments below.
