Typical admitted student: A bachelor's degree in mining engineering, geological engineering, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in engineering fundamentals and programming.

About This Program

This unique specialization focuses on integrating cutting-edge technology into the mining industry to improve safety, efficiency, and operational design.

Career Outcomes

Excel as Robotics Engineer in Engineering AI with AI infrastructure expertise

1. Intelligent Mining Systems Engineer
2. Mining Automation Specialist
3. AI Mining Operations Manager
4. Predictive Analytics Engineer in Mining

What You'll Learn

Apply AI and machine learning to optimize mineral exploration and resource modeling.
Design predictive maintenance systems for mining equipment using data analytics.
Develop autonomous mining systems for enhanced operational efficiency and safety.
Implement intelligent safety analytics and risk prediction in mining environments.

Curriculum Highlights

The curriculum includes foundational mining engineering, surface and underground design, and specialized technical electives in intelligent mining systems.

Top Employers

Top employers include major mining companies like Rio Tinto, BHP, Newmont, and Vale, along with technology firms specializing in industrial AI.

Admissions

A bachelor's degree in mining engineering, geological engineering, or a related field with a minimum GPA of 3.0 is required, along with relevant coursework in engineering fundamentals and programming.

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 80+ / IELTS 6.5+)

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