Bachelor of Science In Applied Artificial Intelligence
Study Applied AI and unlock limitless career pathways
Prepare for roles in AI engineering, machine learning, data analytics, robotics, UX design, project leadership, and beyond. With AI shaping the future of every profession, your expertise becomes a powerful asset in a competitive job market.
The Bachelor of Science in Applied Artificial Intelligence (AI) at Middle Georgia State University prepares students to succeed in a world where AI is rapidly reshaping how organizations operate and compete. With AI transforming fields such as healthcare, finance, education, cybersecurity, and beyond, the program equips graduates with both a strong grounding in AI fundamentals and the ability to apply those tools across disciplines. This creates a distinctive “bridge” professional—someone who can translate between technical teams and sector experts, decode where AI adds value, and help integrate solutions into real workflows, decisions, and services.
Students tailor the degree through one of three concentrations—Advanced AI, Data Science, or Project Leadership—to match their interests and career goals. The program’s flexibility is strengthened by 18 hours of open electives, allowing students to pair AI with an approved minor (e.g., Business, Psychology, English, Graphic Design, Public Relations), build an AI focus area or curated set of courses, complete up to 18 hours of approved upper-level coursework (CSCI, DATA, FTA, ITEC, or MATH), and/or apply eligible PLA credits. Graduates leave with a versatile, interdisciplinary skill set designed to support career pathways that require both technical fluency and domain-driven impact.
For detailed information about potential career pathways—including roles such as AI Engineer, Machine Learning Engineer, Data Scientist, AI Researcher, Business Intelligence Analyst, and Technology Project Manager—please refer to the Applied AI career overview page.
The Advanced AI concentration emphasizes cutting-edge artificial intelligence techniques, including computational intelligence, machine learning, deep learning, and natural language processing. Students gain expertise in designing and training sophisticated models that drive automation, intelligent systems, and generative applications. With AI increasingly transforming sectors such as healthcare, finance, cybersecurity, autonomous systems, and user experiences, graduates are well-positioned for innovative roles in AI engineering and applied research.
Core IMPACTS (CREDIT: 42 HOURS)
It is recommended that students pursuing a degree in applied artificial intelligence follow these recommendations for optimal progression of degree completion. Failure to follow these recommendations will result in having to take additional coursework outside of Core IMPACTS requirements to meet the requirements for the major.
- Mathematics & Quantitative Skills: Any permitted course may be used to satisfy the Mathematics & Quantitative Skills Core IMPACTS requirement. It is suggested that students pursuing a degree in applied AI complete MATH 1111 (Algebra) in this area. Not completing the recommended course may require additional credit hour accrual.
- Technology, Math, & Science Option: Any permitted course may be used to satisfy the Technology, Math, & Science Option Core IMPACTS requirement.
- Arts, Humanities, & Ethics: Any permitted course may be used to satisfy the Technology, Math, & Science Option Core IMPACTS requirement. It is suggested that students pursuing a degree in applied AI complete COMM 1110 (Public Speaking) in this area. This is a preferred course and will have no bearing on the completion of the degree.
Field of Study (CREDIT: 18 HOURS)
- PSYC 1101* Intro to Psychology
- CSCI 1301** Computer Science I
- CSCI 1302 Computer Science II
- MATH 1401*** Intro to Statistics
- CSCI 2207 Ethics in CS
- ITEC 2215 Introduction to Information Technology
Applied AI Core (CREDIT: 30 HOURS)
- CSCI 3400 Intro to AI
- CSCI 3235 Human-Computer Interaction
- CSCI 3410 AI and Cybersecurity
- CSCI 4461 AI Implications and Applications
- CSCI 4462 Digital Transformation and AI
- CSCI 4454 Human-Robot Interaction
- CSCI 4452 HCI Methods, Design and Evaluation
- ITEC 3300 Project Management
- PSYC 3601 Cognitive Psychology
- CSCI 4750 Senior Capstone
Focus Area: ADVANCED AI (12 HOURS)
- CSCI 4250 Computational Intelligence (AI)
- CSCI 4463 Machine Learning
- CSCI 4464 Deep Learning
- CSCI 4465 Natural Language Processing
Electives (18 HOURS)
Approved upper-level CSCI, DATA, FTA, ITEC, or MATH courses, or PLA credits. Completion of Calculus I and II is required for computer scientist positions at the Air Force Base.
For the more detailed course map Advanced AI Concentration Course Map