Tulane 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 with a minimum GPA of 3.0 is required, along with relevant quantitative background in statistics, programming, or business; GRE may be required for some programs.

About This Program

This certificate program focuses on the intersection of data science and business, preparing students to lead in data-driven environments.

Career Outcomes

Gain machine learning skills to advance as Data Analyst in Business AI

• 1. Business Intelligence Analyst
• 2. Data Analytics Consultant
• 3. AI Business Strategist
• 4. Predictive Analytics Specialist

What You'll Learn

• Applying predictive modeling and machine learning to business problems
• Analyzing big data for strategic insights and forecasting
• Developing AI-driven tools for business intelligence and optimization
• Communicating data analytics findings to non-technical stakeholders

Curriculum Highlights

The curriculum includes database management, deep learning, predictive analytics, and prescriptive modeling applied to real-world business scenarios.

Top Employers

Top employers include consulting firms like Deloitte and McKinsey, tech companies like Google and Amazon, financial institutions, and major corporations leveraging data-driven strategies.

Admissions

A bachelor's degree with a minimum GPA of 3.0 is required, along with relevant quantitative background in statistics, programming, or business; GRE may be required for some programs.

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: Required or Optional
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)