Typical admitted student: A bachelor's degree in engineering, science, or a related field with a minimum GPA of 3.0 is required, along with relevant professional experience in technical or analytical roles; GRE is optional.

About This Program

This interdisciplinary program combines engineering technical depth with essential business management skills for leadership roles in technology-focused organizations.

Career Outcomes

Excel as Product Analyst in Business AI with data analytics expertise

1. Data Analytics Manager
2. ML Product Manager
3. Engineering Leadership in AI
4. Business Intelligence Director

What You'll Learn

Apply machine learning models to engineering and business datasets for predictive analytics.
Integrate data analytics with management principles for strategic decision-making.
Develop data visualization tools to communicate insights to technical and non-technical stakeholders.
Lead cross-functional teams in AI/ML projects within high-tech industries.

Top Employers

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

Admissions

A bachelor's degree in engineering, science, or a related field with a minimum GPA of 3.0 is required, along with relevant professional experience in technical or analytical roles; GRE is optional.

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: Optional
TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Student Reviews

Loading reviews...

Ready to Apply?

Visit the official program page for the latest deadlines, tuition, and application requirements.

Visit Official Program Page ↗Compare Programs