University of Alabama

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: High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission. Strong background in mathematics, including calculus and statistics, is highly recommended.

About This Program

This interdisciplinary program provides a comprehensive study of the mathematical theory and algorithms used to analyze large datasets.

Career Outcomes

Start Data Scientist career in Cross-Industry AI with machine learning focus

• 1. Data Analyst
• 2. Data Scientist
• 3. Business Intelligence Analyst
• 4. Machine Learning Engineer

What You'll Learn

• Apply statistical methods and algorithms to analyze complex datasets.
• Design and implement data visualization techniques for stakeholder communication.
• Build machine learning models for predictive analytics and pattern recognition.
• Manage large-scale data using databases, programming, and data engineering tools.

Curriculum Highlights

The structure includes calculus, discrete mathematics, data structures, database management systems, and a capstone project in data science.

Top Employers

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

Admissions

High school diploma or equivalent with a minimum GPA of 3.0 preferred; SAT/ACT scores optional but recommended for competitive admission. Strong background in mathematics, including calculus and statistics, is highly recommended.

Application Materials

• Statement of Purpose: Optional
• Letters of Recommendation: Optional
• Resume: Optional
• Transcripts: Official transcripts required

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)