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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.

Available as
Certificate, Major, or Minor
Description

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.

Degree Types

Program Details

Degree Types
Bachelor of Arts (BA)
Bachelor of Science (BS)
Degree Level undergraduate
Available asCertificate, Major, or Minor
Campus
Eau Claire
Offered
On Campus
Requires a minor No
Authored on
Hallmarks
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Innovative Facilities

UW-Eau Claire will empower you with the tools and resources you need to thrive in your educational journey. Four state-of-the-art computer labs with equipment updated every two years ensure you are working with the most recent technology. Students can also take advantage of the Blugold Supercomputing Cluster, which uses the analysis of mathematical models and computer simulations to gain an understanding of physical and chemical systems.

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Valuable Community Partnerships

UW-Eau Claire students benefit from several major medical facilities in the region that provide shadowing and internship opportunities. UWEC specifically has strong ties to Mayo Clinic, often conducting research projects in tandem with Mayo Clinic researchers and physicians — which could include projects using AI.

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Research Opportunities

As the top master's-level university for undergraduate research, opportunities to explore and discover are endless. Many of our students work directly with faculty and local professionals on groundbreaking research projects, driving innovation and making real improvements to the world around us. Students may also choose to take their research experience a step further by presenting their findings at both regional and national conferences.

Facts List

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the
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Here You Can
9/10 Blugolds participate in research, internship, immersion, study abroad, or service-learning opportunities.
Endless Research Opportunities
Nearly half of all Blugolds participate in a research experience before graduation.
100% Of Classes Taught By A Professor
You won't find Teaching Assistants (TAs) at UWEC. All our classes are taught by top-notch faculty members.
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What can I do

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
Courses information
SampleCourses

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 245

Advanced Programming and Data Structures

Advanced object-oriented programming techniques including OO design, distributed and concurrent computation, GUI development, and testing. Implementation and use of data structures including lists, stacks, queues, trees, and graphs.

CS 252

Computer Systems

Introduction to systems level concepts including number system representation, digital logic, machine models, assembly language, UNIX, C programming and memory management, and parallel architectures.

CS 335

Algorithms

Discussion of algorithm design, problem-solving methods. Specific algorithm topics include divide-and-conquer, dynamic programming, and backtracking.

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What's Next?

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