As artificial intelligence (AI) reshapes how people live and work, organizations of all types are finding ways to incorporate this technology into their operations. Businesses now use AI to analyze data and automate tasks; researchers use it to find patterns in complex datasets; and cybersecurity teams use it to identify threats.
Because it’s being adopted across industries, knowing how to work with AI is becoming an essential multidisciplinary skill.
Job seekers are already making that connection. Handshake’s 2026 Class of What’s Next report found that nearly two-thirds of job-seeking candidates with AI-related experience were not computer science majors. Business, economics, biology, communications, psychology, and marketing were some of the fields represented.
For students looking to explore AI with their current coursework, LSUA’s new Artificial Intelligence minor offers an introduction to AI tools, data science, programming, statistics, and ethical decision-making in AI. These subjects supplement primary coursework across degree paths and help students discover how AI applies to future careers.
Here are five ways AI skills complement majors outside computer science.
1. Use AI to Analyze Business Data
Businesses rely on AI to enhance customer experiences, streamline daily operations, automate routine tasks, and make faster, data-informed decisions.
For business majors, learning how AI tools work offers advantages far beyond technical usage. It enables future professionals to ask better questions about their data, judge whether an AI solution is appropriate, and critically evaluate outputs before making strategic choices.
Demand for this level of data fluency is expanding across the corporate world, reflected in U.S. Bureau of Labor Statistics projections that employment for data scientists will grow by 35% through 2035.
LSUA’s Artificial Intelligence Tools and Applications and Data Science courses give business majors hands-on experience with data preprocessing, statistics, machine learning, and visualization. This coursework pairs directly with management, marketing, or finance concepts to build job-ready career skills.
2. Explore Questions in Biology and Scientific Research
AI has transformed how scientists perform their studies in groundbreaking ways. Biologists and other researchers deal with massive amounts of information, including genetic data and observations of plants and animals. Machine learning allows them to sort through large datasets, find patterns in complex data, and investigate scientific questions faster.
For example, researchers studying disease use data analysis and machine learning to investigate patterns in genetic information. Ecologists also work with large datasets to track changes in animal populations or ecosystems. Achieving meaningful outcomes from such applications depends on reliable data and careful interpretation of results.
With an AI minor, students studying biology or another science gain direct experience with how AI supplements research efforts. LSUA’s Data Science course introduces students to machine learning techniques, including classification, clustering, and regression as well as data visualization. These concepts equip science majors to master emerging methods researchers use to explore questions across disciplines.
3. Connect AI With Cybersecurity and Tech Ethics
Cybersecurity teams now use AI as a primary tool to protect the digital world. It improves an organization's ability to detect, respond to, and mitigate threats in real time, but it also introduces new security risks, data privacy concerns, and operational vulnerabilities.
Understanding both sides matters as more organizations adopt AI tools and systems. Through LSUA's AI minor, students studying cybersecurity or computer science explore how AI works and what security and ethical risks organizations must manage when deploying it.
Learning about these ideas also helps students recognize why human oversight remains vital for making sound, responsible security decisions. LSUA's Ethics in Computing and Artificial Intelligence course examines the ethical, legal, and social implications of these technologies. Using real-world case studies and ethical frameworks, students learn to identify, analyze, and respond to complex dilemmas in the digital age.
4. Apply Mathematics and Statistics to AI
Behind every machine learning model is a foundation of statistics and mathematics. These principles allow AI systems to process large datasets, calculate probabilities, and generate predictions.
For math majors, an AI minor turns abstract theory into practical problem-solving. Seeing how mathematical formulas operate inside AI algorithms helps students evaluate data quality, test model accuracy, and spot technical limitations in AI outputs.
LSUA's AI minor bridges this connection through its Data Science course alongside General Statistics or Mathematical Statistics options. Together, these classes give math majors a clear path to apply linear algebra, probability, and statistics directly to modern AI systems.
5. Evaluate AI Tools for Education
An AI minor paired with an education degree gives future educators the tools to understand AI’s capabilities, assess the accuracy of AI-generated content, and address questions of academic integrity and student privacy.
This knowledge prepares teachers to evaluate learning materials, identify effective uses for AI in the classroom, and make confident decisions about when human judgment must take priority. It also positions them to guide their own students in using AI thoughtfully and responsibly.
LSUA’s Introduction to Artificial Intelligence course explores how AI works, where it is used, and its societal and ethical implications. The Artificial Intelligence Tools and Applications course provides hands-on experience with AI tools and examines their strengths and limitations. This coursework provides education majors with a strong foundation for shaping the future of learning environments.
Add AI Skills Without Changing Majors
Whether studying business, biology, cybersecurity, mathematics, or education, LSUA's AI minor offers the foundation needed to use AI tools responsibly, thoughtfully, and effectively in any career field.
Explore LSUA’s Artificial Intelligence minor to see how it can support your degree.
The online AI minor from LSUA complements the following bachelor’s degrees:
Sources:
- U.S. Bureau of Labor Statistics, Data Scientists
- National Institute of Standards and Technology (NIST), “AI Research – Security and Resilience”
- U.S. Department of Education, “Responsible Use of Education Technology in the Classroom”
- Handshake, “Class of What's Next Report 2026”
- IBM, “AI Business Use Cases”
- CAS, “AI for science: Six trends powering cutting-edge research”
- Microsoft, “What Is AI for Cybersecurity?”
- Cisco, “What is AI in Cybersecurity?”
- IBM, “Navigating the ethics of AI in cybersecurity”
- IBM, “What is Statistical Machine Learning?”
- MIT Sloan Management Review, “The Defining Challenge of Responsible AI Is Designing Systems That Preserve Human Judgment When and Where It Counts”
