The University of Arizona
BAS Applied Computing – Applied Artificial Intelligence Emphasis
How this program compares
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Admission Snapshot
Typical admitted student: This bachelor's completion program requires an associate degree or equivalent transfer credits, a minimum high school GPA or college GPA of 2.5–3.0, and demonstrated proficiency in foundational computing or related coursework; SAT/ACT is optional.
About This Program
This program offers a practical approach to building computer-based systems with a focused specialization in intelligent computing.
Career Outcomes
Launch Machine Learning Engineer career in Cross-Industry AI with machine learning focus
- 1. AI Applications Developer
- 2. Machine Learning Engineer
- 3. Data Analytics Specialist
- 4. AI Ethics Consultant
What You'll Learn
- Apply machine learning algorithms to real-world datasets and autonomous systems.
- Design and deploy AI models with attention to ethics, bias mitigation, and fairness.
- Analyze and visualize complex data using AI tools for decision-making.
- Develop AI applications integrating human-AI interaction and industry domains.
Curriculum Highlights
The curriculum covers fundamental topics including machine learning, computer vision, robotics, natural language processing, and computing ethics.
Top Employers
Top employers include tech firms like Google, Microsoft, Amazon, and defense contractors with AI divisions.
Admissions
This bachelor's completion program requires an associate degree or equivalent transfer credits, a minimum high school GPA or college GPA of 2.5–3.0, and demonstrated proficiency in foundational computing or related coursework; SAT/ACT is optional.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2 optional
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Associate degree or 60+ transferable credits
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 79+ / IELTS 6.5+)
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