Bachelor of Science In Applied Artificial Intelligence

The Bachelor of Science in Interdisciplinary Artificial Intelligence (AI) program is designed to equip students with the knowledge and skills necessary to thrive in an era where AI technology is transforming industries and societies globally. As AI continues to revolutionize various sectors, including healthcare, finance, education, and cybersecurity, there is a growing demand for professionals with a comprehensive understanding of AI principles and their interdisciplinary applications.

Students can choose one of three major concentrations to customize their studies: Advanced AI, Data Science, or Project Leadership, each totaling 12 credit hours. The Advanced AI concentration focuses on computational intelligence, machine learning, deep learning, and natural language processing. The Data Science concentration covers essential topics like statistics, data visualization, analytics, and data mining. The Project Leadership concentration includes courses in management, leadership, and risk and decision-making. These options allow students to tailor their education and career goals toward data analytics, AI research, or leadership roles.

  • Advance AI
  • Data Science
  • Project Leadership

This track 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