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: Requires a bachelor's degree in a related field such as computer science, statistics, or mathematics, with a minimum GPA of 3.0 preferred; relevant programming or quantitative background strengthens applications.

About This Program

This program enables working professionals to master the techniques needed to transform large amounts of data into actionable insights.

Career Outcomes

Lead as Data Scientist in Cross-Industry AI with data analytics expertise

• 1. Data Scientist
• 2. AI/ML Engineer
• 3. Business Intelligence Analyst
• 4. Data Analytics Manager

What You'll Learn

• Apply data mining and machine learning to extract insights from large datasets.
• Build and deploy AI models for predictive analytics and decision-making.
• Visualize complex data to communicate findings effectively.
• Customize AI solutions using techniques like deep learning and generative models.

Curriculum Highlights

The 10-course curriculum emphasizes database systems, data visualization, ethics in computing, and hands-on data analytics projects.

Top Employers

Top employers include tech giants like Google, Amazon, Microsoft, and consulting firms such as Deloitte and Accenture.

Admissions

Requires a bachelor's degree in a related field such as computer science, statistics, or mathematics, with a minimum GPA of 3.0 preferred; relevant programming or quantitative background strengthens applications.

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+)