Typical admitted student: A bachelor's degree from an accredited institution with a minimum GPA of 3.0, strong technical background in math, programming, calculus, or probability, and GRE/GMAT scores are typically required. Prerequisites often include programming experience and statistics courses.

About This Program

An advanced degree focusing on the intersection of analytical skills and business leadership to transform raw data into actionable strategic insights.

Career Outcomes

Thrive as AI Engineer in Business AI with machine learning expertise

1. Business Intelligence Analyst
2. Data Scientist
3. AI Analytics Manager
4. Predictive Analytics Consultant

What You'll Learn

Apply machine learning and AI algorithms to business datasets for predictive insights.
Design data visualization and analytics tools for strategic decision-making.
Analyze big data using optimization, risk modeling, and statistical methods.
Integrate AI technologies into business intelligence systems for competitive advantage.

Curriculum Highlights

The program includes courses in data management, experimental design, optimization, and risk analysis, culminating in a real-world industry practicum.

Top Employers

Top employers include Google, Amazon, Deloitte, and IBM.

Admissions

A bachelor's degree from an accredited institution with a minimum GPA of 3.0, strong technical background in math, programming, calculus, or probability, and GRE/GMAT scores are typically required. Prerequisites often include programming experience and statistics courses.

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

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