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 a related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required, along with demonstrated proficiency in programming or mathematics. Prerequisites in statistics and programming may be needed if not completed undergraduate.

About This Program

Designed for working adults, this program focuses on mining, analyzing, and learning from large datasets to solve complex problems.

Career Outcomes

Advance as Data Scientist in Cross-Industry AI with deep learning expertise

• 1. Data Scientist
• 2. AI Engineer
• 3. Machine Learning Engineer
• 4. Data Analytics Manager

What You'll Learn

• Apply machine learning models to analyze large datasets and predict outcomes.
• Develop AI systems for data processing, pattern recognition, and automation.
• Visualize complex data to support strategic decision-making.
• Implement data analytics pipelines for real-world applications.

Curriculum Highlights

The 30-credit curriculum features courses in programming foundations, database systems, deep learning, and a project-based capstone.

Top Employers

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

Admissions

A bachelor's degree in a related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required, along with demonstrated proficiency in programming or mathematics. Prerequisites in statistics and programming may be needed if not completed undergraduate.

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: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)