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Admission Snapshot
Typical admitted student: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores are optional but recommended for competitive applicants.
About This Program
This pioneering undergraduate degree prepares students for AI careers by integrating technical expertise with domain-specific application areas.
Career Outcomes
Start Machine Learning Engineer career in Cross-Industry AI with machine learning focus
- 1. Machine Learning Engineer
- 2. AI Research Scientist
- 3. Data Scientist
- 4. AI Software Developer
What You'll Learn
- Design and implement machine learning models for predictive analytics
- Develop neural networks for pattern recognition and decision-making
- Apply AI algorithms to process and analyze large datasets
- Build intelligent systems using techniques like reinforcement learning
Curriculum Highlights
The 124-credit program includes core courses in data structures, algorithms, machine learning, and deep learning, complemented by a student-selected application area.
Top Employers
Top employers include Google, Microsoft, Amazon, and Meta.
Admissions
High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores are optional but recommended for competitive applicants.
Application Materials
- Statement of Purpose: Required
- Letters of Recommendation: 2β3
- 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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