University of Wisconsin–Stout
BS in Applied Mathematics and Computer Science – AI Concentration
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Admission Snapshot
Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission.
About This Program
This undergraduate program provides a polytechnic approach to artificial intelligence, blending deep mathematical theory with practical computer science.
Career Outcomes
Prepare Machine Learning Engineer career in Cross-Industry AI with machine learning focus
- 1. AI Engineer
- 2. Machine Learning Specialist
- 3. Data Scientist
- 4. Software Developer (AI Focus)
What You'll Learn
- Develop and implement machine learning models for data analysis and prediction.
- Apply mathematical foundations to design AI algorithms and systems.
- Integrate AI technologies into software applications for real-world problem-solving.
- Evaluate ethical implications and biases in AI development and deployment.
Curriculum Highlights
Coursework includes advanced calculus, AI programming, algorithmic design, and professional internships with regional and national employers.
Top Employers
Top employers include tech leaders like IBM, Microsoft, Google, and industry partners in finance and manufacturing.
Admissions
High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: Optional
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: High School Diploma
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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