Nova Southeastern University

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. GRE scores are optional for most applicants.

About This Program

This program blends computer science theory with practical experience to solve complex, real-world problems using intelligent systems.

Career Outcomes

Excel as Machine Learning Engineer in Cross-Industry AI with machine learning expertise

• 1. AI Engineer
• 2. Machine Learning Engineer
• 3. Data Scientist
• 4. Software Developer (AI focus)

What You'll Learn

• Design and implement machine learning models for predictive analytics
• Develop deep learning systems for image and speech recognition
• Apply natural language processing techniques to real-world data
• Build AI-driven decision systems with ethical considerations

Curriculum Highlights

The curriculum includes core computer science topics like operating systems and compilers alongside specialized AI coursework in machine learning.

Top Employers

Top employers include Google, Microsoft, Amazon, and IBM.

Admissions

A bachelor's degree in computer science, engineering, or a related field with a minimum GPA of 3.0 is required, along with programming experience and quantitative coursework. GRE scores are optional for most applicants.

Application Materials

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Required
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: Bachelor's degree
• GRE/GMAT: Optional
• TOEFL/IELTS: Required for international students (TOEFL 79+ / IELTS 6.0+)