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Admission Snapshot
Typical admitted student: A high school diploma with strong performance in mathematics and computer science is required. Most programs expect a minimum GPA of 3.0 and standardized test scores (SAT/ACT); some institutions have made these optional.
About This Program
This computer science-focused major teaches students the foundations and tools needed to build systems that reason about data and make autonomous decisions.
Career Outcomes
Begin Machine Learning Engineer career in Cross-Industry AI with machine learning focus
- 1. Machine Learning Engineer
- 2. Data Scientist
- 3. AI Research Engineer
- 4. AI Product Manager
What You'll Learn
- Design and implement machine learning algorithms and deep learning models for real-world applications
- Analyze and manipulate large datasets using statistical methods and data science techniques
- Understand AI ethics, bias mitigation, and responsible AI development practices
- Apply AI and machine learning solutions across industry domains including computer vision, natural language processing, and autonomous systems
Curriculum Highlights
The science-based curriculum includes multivariate calculus, linear algebra, and data structures, with advanced electives in robotics, computer vision, or natural language processing.
Top Employers
Top employers include Google, Microsoft, Amazon, IBM, Meta, OpenAI, and Tesla, as well as government agencies investing in AI research and development.
Admissions
A high school diploma with strong performance in mathematics and computer science is required. Most programs expect a minimum GPA of 3.0 and standardized test scores (SAT/ACT); some institutions have made these optional.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: Not typically required
- Resume: Optional
- Transcripts: Official high school transcripts required
Academic Requirements
- Degree Required: Bachelor of Science (BS)
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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