Course Information
The Academic Rhode Map lists all the courses you will need to complete the program and graduate in a timely fashion:
Academic Rhode Map (coming soon)
Artificial Intelligence BS and Minor Program Specifics
ΞΆΓάȦ’s Bachelor of Science in Artificial Intelligence was developed with input from businesses and national organizations to create a practical AI program that prepares you to fill the widening AI skill gap in the workplace.
Program Overview
This hands-on program balances the technical knowledge needed to innovate with the business understanding necessary to integrate AI effectively into an organization. Here, you will learn to design, responsibly implement, and ethically evaluate machine learning models with practical applications in healthcare, finance, manufacturing, and more.
What to Expect in Years 1 and 2
In the program's first two years, you build a strong foundation in computer science and data science. You learn computer programming, data structures, and algorithms. These core courses provide the skills and knowledge you need to construct AI models. You also learn a variety of statistical tools and how to responsibly implement AI in a variety of business domains. These skills prepare you to evaluate the training data used to build models and critique the performance of more advanced AI models used in later courses.
Year 3 Expectations
Your third year in the program involves studying the foundation of artificial intelligence through courses in traditional artificial intelligence and machine learning. You practice each step in the machine learning process as you build your own functional machine learning models. These technical courses are accompanied by an important course in social and ethical issues in technology. In this course, you address the social and ethical issues created by using computers, AI, and other digital technologies, the problems solved by technology, and learn about professional responsibilities.
Year 4 Expectations
In your fourth year, you explore natural language processing and learn how human language is translated into a form machine learning models can use. In the computer vision course, you learn to manipulate and analyze digital images, extract features from images, and use machine learning to classify and detect objects in images. The reinforcement learning course gives you an opportunity to understand how autonomous vehicles learn. Additionally, there are courses that cover AI in games and robotics. Immerse yourself in a well-rounded education and be part of a pioneering program in the region, setting the standard for Al education and opening doors to exclusive opportunities!
Institute for Cybersecurity & Emerging Technologies
The B.S. in Artificial Intelligence program at ΞΆΓάΘ¦ is housed within the Institute for Cybersecurity & Emerging Technologies, a regional center of excellence that provides education, programming, and research to help develop Rhode Island’s cybersecurity and AI industries. The institute is led by ΞΆΓάΘ¦ alumnus James Langevin ’90, a former 11-term congressman and nationally recognized leader in the field. Langevin is serving as the chair and leading Rhode Island Governor McKee’s AI Task Force.
Minor Program Options
We also offer a minor in Artificial Intelligence and Application of Artificial Intelligence. Declaring a minor allows you to explore other areas of interest and make interdisciplinary connections. Minor areas at ΞΆΓάΘ¦ complement and reinforce all major areas of study. By declaring a minor, you can set yourself apart as a candidate for job, internship and volunteer opportunities.
Program Learning Goals
Upon the completion of this program, students will be able to:
- Create AI models that adapt to dynamic and evolving data, demonstrating adaptability and flexibility.
- Evaluate the performance of AI models, considering metrics like accuracy, precision, recall, and F1-score.
- Compare and contrast various AI techniques for specific applications, identifying their strengths and weaknesses.
- Develop innovative AI solutions for complex, multifaceted problems from subfields of AI, such as computer vision, natural language processing, and robotics.
- Critically assess AI technology's ethical, legal, and societal impacts by examining issues like bias, fairness, and privacy to make well-informed recommendations and decisions.
- Assess AI solutions' economic and business value, considering factors like cost-effectiveness, return on investment, and market feasibility.
2 Minor Program Options
Minor in Artificial Intelligence
The Minor in Artificial Intelligence addresses the growing importance of AI technologies across various sectors, from healthcare to finance and from environmental management to entertainment. This interdisciplinary approach equips students with a foundational understanding of AI principles, machine learning algorithms, data analysis, and ethical considerations, enabling them to apply these skills in their major field of study or future career paths. As AI continues to shape the future of work, an AI minor not only enhances employability by meeting the increasing demand for AI-literate professionals but also fosters critical thinking, problem-solving, and ethical decision-making in the face of technological advancements.
Minor in Application of Artificial Intelligence
The Minor in Application of Artificial Intelligence focuses on the use of AI in business and research, thereby making it applicable and accessible to a broad range of students. Whereas the AI Minor gives students the tools and technical skills necessary to build and train AI models, the Application of AI Minor prepares students to use AI tools responsibly and ethically in the workplace. It also provides students with an understanding of the technical issues behind the implementation of AI models so that they can knowledgeably discuss the risks and opportunities of integrating AI into business workflows.