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. Strong background in mathematics (calculus, linear algebra) and programming is highly valued.

About This Program

This degree path provides a deep dive into the technologies driving modern innovation, from autonomous systems to advanced predictive analytics.

Career Outcomes

Enter Computer Vision Engineer career in Cross-Industry AI with machine learning focus

1. Machine Learning Engineer
2. AI Research Scientist
3. Data Scientist
4. Software Engineer (AI/ML)

What You'll Learn

Design and implement machine learning models for predictive analytics.
Build and train deep neural networks for complex data processing.
Develop AI systems for natural language understanding and generation.
Apply reinforcement learning techniques to optimization problems.

Curriculum Highlights

The program includes core computer science requirements plus a specialized 12-hour concentration in machine learning, computer vision, and autonomous multiagent systems.

Top Employers

Top employers include tech leaders 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 or ACT scores are optional but recommended for competitive applicants. Strong background in mathematics (calculus, linear algebra) and programming is highly valued.

Application Materials

Statement of Purpose: Required
Letters of Recommendation: 2–3
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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