Online Bachelor of Science in Applied Artificial Intelligence (BSAAI)
Applied Artificial Intelligence
Program Overview
Students in the Applied Artificial Intelligence B.S. program learn core AI principles, algorithms, and models to prepare for a diverse career path in AI. Students learn how to apply AI techniques to real-world problems while considering AI’s ethical, social, and legal impacts. Students will collaborate across disciplines, integrating AI insights and solving complex challenges using creative AI solutions while attaining job readiness through for-credit internships and project-based learning.
To be admitted to the AAI BS program, students must have a cumulative GPA of at least 2.0 and one transferable credit hour from previous institutions.
Why Choose Applied AI?
AI is transforming industries across the world. With a bachelor’s degree in Applied AI, you can learn practical skills and principles that directly apply to real-world problems. You can claim a spot at the forefront of this fast-growing field and maximize your earning potential by applying today.
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Featured Courses
Introduction to foundational concepts, techniques, and applications of Artificial Intelligence (AI) relevant for all disciplines – especially across non-computer science fields. Explores the history and current scope of AI, data sources and tools, and fundamental components of AI solutions. Special attention will be placed on the strengths and weaknesses of the methods as well as on identifying bias, social impacts, and other ethical considerations of AI. Students will gain experience through hands-on activities using no-code AI platforms.
This course probes the vital junctures of artificial intelligence, ethics, and legal considerations. Throughout their studies, students will explore the ethical challenges posed by emerging AI technologies, understand the societal ramifications of AI decisions, and familiarize themselves with the global legal frameworks that oversee AI applications. As part of the curriculum, students will delve into ethical principles central to AI design and deployment. They will also address concerns related to bias, fairness, and transparency in AI systems. Additionally, discussions will touch upon the crucial aspects of privacy and data rights. An in-depth look into regulatory landscapes will offer insights into AI governance. By the end of this course, students will be primed to approach AI solutions holistically, bearing in mind both the ethical and legal dimensions.
Data is the lifeblood of AI. In this course, students will learn how to efficiently handle, process, and visualize data using AI-driven techniques. The key areas of study encompass the use of AI tools for data preprocessing and cleaning, advanced data analysis using AI algorithms, visualization techniques for high-dimensional data, and exploring real-world applications and case studies. Throughout the course, students will gain hands-on experience with popular AI data tools and libraries, preparing them for complex AI-driven data tasks.
Detailed study of concepts, techniques, and applications of Artificial Intelligence (AI) relevant for all disciplines – especially across non-computer science fields. Explores the history and current scope of AI, data sources and procedures for attaining and working with data, and fundamental components of AI solutions. Special attention will be placed on the strengths and weaknesses of the methods as well as on identifying bias, social impacts, and other ethical considerations of AI. Introduces students to AI-relevant programming through hands-on coding projects. This is an undergraduate and graduate course (AI 501) taught concurrently, where graduate students will have additional requirements and assignments.
