University of Miami
BS in Data Science 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 $227.1K in total tuition, the BS in Data Science and AI sits about 162% above the $86.6K average for AI bachelor's programs in our database β placing it in the 91st percentile on cost among the 232 we track at this level.
Admission Snapshot
Typical admitted student: Applicants typically need a high school diploma or equivalent with a competitive GPA (3.0+). SAT/ACT scores are often optional or recommended; strong performance in mathematics and computer science coursework is advantageous.
About This Program
This program provides a technical foundation in data science and artificial intelligence for students seeking careers in industrial research. It emphasizes the formal mathematical and statistical basis for these technologies. Coursework concentrates on Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.
Estimated total tuition is $227.1K, above the $86.6K average for AI bachelor's programs in our database and in the 91st percentile on cost at this level. Applicants should weigh that premium against the program's outcomes and brand.
Prepare AI Research Scientist career in Cross-Industry AI with machine learning focus Graduates frequently move into roles such as AI Research Scientist, with reported salaries around $100,000.
Career Outcomes
Prepare AI Research Scientist career in Cross-Industry AI with machine learning focus
- 1. Data Scientist
- 2. Machine Learning Engineer
- 3. AI Research Specialist
- 4. Analytics Engineer
What You'll Learn
- Design and implement machine learning models for classification, regression, and anomaly detection tasks
- Apply statistical methods and data visualization techniques to extract insights from complex datasets
- Develop proficiency in programming languages and tools essential for data science workflows
- Evaluate AI/ML system performance, identify limitations, and communicate findings to non-technical stakeholders
Curriculum Highlights
The structure includes core computer science courses, rigorous mathematics requirements, and specialized electives. Topics cover machine learning, advanced artificial intelligence, and data structures.
Top Employers
Common employers in this field include Google, Amazon, Microsoft, Meta, IBM, and consulting firms like Deloitte and McKinsey that specialize in data-driven solutions.
Admissions
Applicants typically need a high school diploma or equivalent with a competitive GPA (3.0+). SAT/ACT scores are often optional or recommended; strong performance in mathematics and computer science coursework is advantageous.
Application Materials
- Statement of Purpose: Optional
- Letters of Recommendation: Optional
- Resume: Optional
- Transcripts: Official transcripts required
Academic Requirements
- Degree Required: Bachelor of Science
- GRE/GMAT: Not Required
- TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
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