Doctor of Science in Information Technology (DScIT) Repository
Fall 2025

Bachelor of Science in Applied Artificial Intelligence

The University System of Georgia's first B.S. in Applied AI. Launching at MGA's Warner Robins Campus.

Program Overview

The B.S. in Applied Artificial Intelligence is designed to prepare students for careers in AI through hands-on, interdisciplinary learning focused on practical applications of AI technology. Applied AI addresses real-world challenges across industries including healthcare, agriculture, aerospace, logistics, manufacturing, and cybersecurity.

Warner Robins Campus ~65 Students (Initial Cohort)

Degree Requirements

  • Core IMPACTS (General Ed)42 hrs
  • Field of Study18 hrs
  • Applied AI Core30 hrs
  • Electives18 hrs

Choose Your Concentration

12 credit hours in one of three major focus areas

Advanced AI

Deep technical specialization

  • Machine Learning
  • Deep Learning
  • Natural Language Processing

Data Science

Analytics and insight

  • Statistics
  • Data Visualization
  • Analytics & Data Mining

Project Leadership

Management and strategy

  • Management
  • Leadership
  • Risk & Decision-Making

Career Outlook & Growth

Data-driven projections from the U.S. Bureau of Labor Statistics and industry reports

17.9%

Software developers projected growth 2023–2033

~303,700 new jobs (BLS)

11.7%

Computer occupations overall growth

~586,800 new jobs (BLS)

34%

Data scientist positions projected increase

2024–2034 (Coursera)

78%

Organizations using AI in 2025

Up from 55% in 2023

Compensation Snapshot

AI and ML roles command strong compensation. Machine learning engineers earn an average of $183K+ annually, while data scientists average $130K+, with junior roles starting around $77K. Production-ready skills in MLOps, LLM engineering, and model governance are increasingly valued by employers.

Sources: BLS Employment Projections, Glassdoor, Indeed, Burtch Works 2025 Compensation Report

Career Outcomes

Roles our graduates are prepared for across AI, data, and technology

Technical & Engineering

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist / Analyst
  • AI Solutions Architect
  • Database Architect
  • Robotics & Autonomous Systems
  • AI Researcher

Business & Leadership

  • Technology Project Manager
  • Product Leader / Innovation Strategist
  • Business Intelligence Analyst
  • UX Designer (AI & HCI)
  • Market Research Analyst
  • Agri-Tech Data Science
  • Logistics Planning & Optimization

AI Trends Students Should Know

Emerging directions that shape careers and the future of technology

Generative AI Adoption

GenAI is the fastest-growing skill among learners—course enrollments surged 866% year-over-year. Over 70% of organizations now use generative AI in at least one business function. Students who learn to build, refine, and deploy GenAI tools are in high demand across industries.

Reasoning & Autonomous Systems

Next-gen AI can plan, reflect, and self-correct over long time horizons. Embodied AI and robotics are moving from lab demos to real deployments. Understanding how AI reasons and acts in the world—not just pattern-matching—is where the field is headed.

AI Investment & Infrastructure

Global private AI investment hit a record $252 billion in 2024. Multi-gigawatt data centers and cloud AI platforms are creating a new industrial layer. ~44% of U.S. businesses now pay for AI tools—opportunities span startups, enterprises, and government.

Responsible AI & Ethics

Employers increasingly value risk management, data ethics, and cybersecurity alongside technical skills. Knowing how to build AI that is fair, transparent, and trustworthy opens doors in regulated industries like healthcare, finance, and government.

AI as a Scientific Collaborator

AI is accelerating research in drug discovery, materials science, climate modeling, and more. Students interested in combining domain expertise with AI—e.g., biology + ML or physics + deep learning—can shape the next wave of scientific breakthroughs.

Bridge Professionals in Demand

Companies need people who can translate between technical teams and business stakeholders—"bridge" professionals who understand both AI capabilities and real-world workflows. Applied AI graduates are uniquely positioned for these roles.

Ready to Shape the Future of AI?

Join the first cohort of Applied AI students in the University System of Georgia. Applications open for Fall 2025.