Typical admitted student: A bachelor's degree in a related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required; relevant work experience or prerequisite coursework in programming and statistics is preferred.

About This Program

This master's program focuses on transforming large, complex data sets into actionable insights using advanced AI technologies and business intelligence frameworks to solve organizational challenges.

Career Outcomes

Advance as Data Scientist in Cross-Industry AI with big data expertise

1. Data Scientist
2. AI/ML Engineer
3. Analytics Consultant
4. Applied AI Specialist

What You'll Learn

Design and implement machine learning models for predictive analytics.
Apply AI techniques to process and analyze large datasets.
Develop ethical AI solutions for business and industry applications.
Evaluate and deploy analytics pipelines using programming tools.

Curriculum Highlights

The program structure features a core of analytics and applied AI courses with specialized tracks available in Business, Healthcare Analytics, and Information Systems.

Top Employers

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

Admissions

A bachelor's degree in a related field such as computer science, statistics, or engineering with a minimum GPA of 3.0 is required; relevant work experience or prerequisite coursework in programming and statistics is preferred.

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: Not Required
TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)

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