Minor in Applied Artificial Intelligence and Data Science
Mission
The mission of the Minor in Applied Artificial Intelligence and Data Science is to equip undergraduate students across disciplines with the analytical, computational, and critical thinking skills needed to collect, manage, analyze, and interpret data.
Program Objectives
Graduates of the Minor in Applied AI and Data Science Program shall:
- Demonstrate knowledge and skills in AI and data science, including data analysis, deep learning, machine learning, statistics, and programming, enabling them to effectively tackle complex real-world problems in various domains.
- Engage in continuous learning and professional development activities to stay abreast of the latest advancements in the computing field.
Student Learning Outcomes
At the completion of the program, students will be able to:
- Analyze data-centered problems by applying principles of data science, computing, statistics, and related disciplines to identify and propose solutions.
- Design and implement data-driven approaches, including machine learning and deep learning models, using programming, statistical reasoning, and analytical methods to address real-world challenges.
- Communicate data insights effectively in written, oral, and visual forms across academic and professional contexts.
- Recognize ethical responsibilities in AI and data practice and make informed judgments regarding data use, privacy, and integrity while collaborating effectively in interdisciplinary teams.
Curriculum
A total of 18 credits is required to complete the Minor in Applied AI and Data Science, as follows:
Core Courses
- DSC201 Python for AI and Data Science (3 cr.)/ CSC243 Introduction to Object-Oriented Programming (3 cr.)
- DSC210 Statistics for Data Science (2 cr.)
- AAI211 AI Ethics and Responsible Data Use (1 cr.)
- DSC463 Data Science (3 cr.)