Texas A&M University
BA in Computing/BS in Comp. Eng. – AI & ML Track
How this program compares
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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 optional but recommended for competitive admission. Strong background in mathematics (calculus, linear algebra) and programming is highly advantageous.
About This Program
An undergraduate program providing a strong preparation in computing, science, and mathematics with a 12-hour area of concentration to complement core computer science studies.
Career Outcomes
Enter Machine Learning Engineer career in Engineering AI with artificial intelligence focus
- 1. Machine Learning Engineer
- 2. AI Software Developer
- 3. Data Scientist
- 4. Computer Vision Engineer
What You'll Learn
- Design and implement machine learning models for predictive analytics.
- Apply deep learning techniques to image recognition and pattern analysis.
- Develop AI systems for natural language processing and intelligent agents.
- Analyze large datasets using data mining and statistical methods.
Curriculum Highlights
The curriculum includes core courses in data structures, discrete structures, and linear algebra, with specialized electives in artificial intelligence, cognitive modeling, and robotics.
Top Employers
Top employers include tech giants like Google, Microsoft, Amazon, and companies such as NVIDIA and Tesla in AI-driven industries.
Admissions
High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT or ACT scores optional but recommended for competitive admission. Strong background in mathematics (calculus, linear algebra) and programming is highly advantageous.
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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