
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
Blugold Stories
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 330
Programming Languages
Study building blocks of modern programming and programming paradigms including functional, imperative, object-oriented, and logical. Emphasis on teaching students how to learn new programming languages. In-depth study of C++ and memory management techniques.
CS 491
Special Topics
An examination of current topical material of special interest to students and faculty. Topics that have been offered include: Analysis of Algorithms, Cryptography and Data Security, Computer Animation, Fuzzy Logic, Advanced Internet Applications, Data Mining, and Computational Biology.
CS 426
Deep Learning
This course will introduce students to the foundations of deep learning and how it can be used for a variety of tasks ranging from feature extraction, supervised and unsupervised learning, and sequence modelling. Students will get an opportunity to create state-of-the-art deep learning models using Python programming and TensorFlow framework to make machines think and interpret big data with remarkable precision.
Get More Info
Sign up to receive additional information about our campus.
Meet the Faculty


