University of New Orleans
B.S. in Computer Science - Machine Learning and AI Concentration
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/ACT scores are optional but recommended for competitive applicants. Strong preparation in mathematics (calculus, linear algebra) and programming is expected.
About This Program
This ABET-aligned program offers a strong technical foundation in computer science with a specialized focus on machine learning and intelligent systems.
Career Outcomes
Launch Machine Learning Engineer career in Cross-Industry AI with machine learning focus
- 1. Machine Learning Engineer
- 2. AI Software Developer
- 3. Data Scientist
- 4. AI Research Analyst
What You'll Learn
- Design and implement machine learning models for predictive analytics.
- Develop AI systems using supervised and unsupervised learning techniques.
- Apply deep learning to computer vision and natural language processing tasks.
- Evaluate and optimize AI algorithms for real-world applications.
Curriculum Highlights
The curriculum includes core computing foundations, data structures, and specialized concentration courses in machine learning, AI, and game development.
Top Employers
Top employers include tech companies like Google, Amazon, Microsoft, and Meta, as well as research labs and AI startups.
Admissions
High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores are optional but recommended for competitive applicants. Strong preparation in mathematics (calculus, linear algebra) and programming is expected.
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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