Nova Southeastern University
MS in Data Analytics and AI
Last reviewed June 2026 by the AI Graduate editorial team. Program data is compiled and verified from official university sources β see our methodology.
How this program compares
At an estimated $29.7K in total tuition, the MS in Data Analytics and AI sits roughly 30% below the $42.4K average for AI master's programs in our database β placing it in the 47th percentile on cost among the 531 we track at this level. It is one of the 57% of programs in our database offered fully or partly online.
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. Coursework concentrates on Deep Learning and AI Ethics/Policy. Most students complete it in about 1 year.
Estimated total tuition is $29.7K, below the $42.4K average for AI master's programs in our database and in the 47th percentile on cost at this level. That puts it in the mid-range on price among comparable programs.
Lead as Data Scientist in Cross-Industry AI with data analytics expertise Graduates frequently move into roles such as Data Scientist, with reported salaries around $95,000.
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: 2β3
- 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+)
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