Artificial Intelligence
Artificial intelligence is rapidly evolving, and it's here to stay. Explore the potential of harnessing this powerful tool within a range of industries and disciplines.
On the Cutting Edge
Through studying artificial intelligence at UWEC, you'll not only learn key technical skills for data analysis and model evaluation, but you'll also explore the ethical and societal challenges with AI algorithms and potential biases. Through coursework and realistic projects, you'll gain a foundational understanding of the integration of AI in the workforce — and in society at large.
Within the major, you'll have two choices: you can pursue a 60-credit comprehensive major or a 36-credit standard major. The comprehensive AI major is more technically rigorous and aims to prepare students for STEM-oriented careers. The standard major is designed for students interested in careers in the social sciences, humanities, healthcare, and business sectors.
Program Details
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JustThe Facts
Where can the artificial intelligence program lead me after graduation?
Graduates will be prepared to analyze datasets and develop AI models and algorithms. They will learn to drive operational efficiency and decision-making across key industries like healthcare, journalism, finance, and manufacturing.
Example Careers
- Data scientist
- Market research analyst
- Database architect
- Statistician
- Operations research analyst
Blugolds studying artificial intelligence will take a blend of courses, including topics in data science, mathematics, and AI. You'll have the opportunity to select courses that are of the most interest to you and your career goals.
Here are a few courses in Artificial Intelligence at UW-Eau Claire.
CS 319
Introduction to Web Programming
Introduction to client and server side Web programming. Includes basic programming concepts, user input validation, dynamic Web pages, and data retrieval and display.
CS 320
Web Database Design and Implementation
Introduction to databases for Web applications. Architecture, design considerations, and implementation of relational database systems. Web/database application development.
CS 262
Database Systems
A study of fundamental database concepts including: SQL, database design and normalization, transactions and concurrency, embedded SQL, and stored procedures.
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