Program Overview

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Diploma in Advanced Modeling Applications in Mining and Metallurgy

The Department of Mining Engineering at the Faculty of Physical and Mathematical Sciences of the University of Chile offers a postgraduate diploma in Advanced Modeling Applications in Mining and Metallurgy.

Introduction

The Diploma in Advanced Modeling Applications in Mining and Metallurgy aims to introduce professionals and decision-makers in innovation, digital mining, and various technical areas of the mining and metallurgical industry to the fundamental aspects of analysis and modeling necessary for generating predictive applications. These applications consider uncertainty and aid in decision-making based on abundant and diverse information.

Target Audience

The target audience for this program includes professionals working in mining companies, mining suppliers, and specialized consultants who desire a deeper and more practical understanding of the techniques and concepts related to advanced modeling tools. This will enable them to improve decision-making at different levels of the mining production chain.

Program Structure

The program consists of six modules, each designed to deliver fundamental and advanced elements in the topics covered, catering to a audience with different levels of basic training in areas of engineering, geology, and related fields.

Modules

• Matemática and Estadística fundamental for Modeling | 20 hours
• Elements of statistical learning and machine learning for mining and metallurgy modeling | 20 hours
• Modeling of uncertainty and decision-making in geosciences, mining, and metallurgy | 20 hours
• Advanced analytics of mining and metallurgical processes | 20 hours
• Models and image processing in mining and metallurgy | 20 hours
• Spatial modeling of mineral resources and sensor fusion in mining exploration | 20 hours
• Case Study and Final Presentations | 20 hours

Calendar 2026

The program will take place from May 25, 2026, to March 19, 2027, with the following schedule:

• Matemática and estadística fundamental for modeling in mining and metallurgy: May 25-29, 2026
• Elements of statistical learning and machine learning for modeling in mining and metallurgy: July 6-10, 2026
• Modeling of uncertainty and decision-making in geosciences, mining, and metallurgy: August 17-21, 2026
• Advanced analytics of mining and metallurgical processes: October 5-9, 2026
• Models and image processing in mining and metallurgy: November 16-20, 2026
• Spatial modeling of mineral resources and sensor fusion in mining exploration: January 4-8, 2027
• Case Study and Final Presentations: March 15-19, 2027

Professors

The program will be taught by the following professors:

• Daniel Baeza: Ingeniero Civil Eléctrico, Universidad de Chile
• Xavier Emery: Doctor, Ecole des Mines de París, Francia
• Nadia Mery: Ph.D. in Mineral Engineering, Ecole Polytechnique Montreal, Canadá
• Fabián Soto: Magíster en Minería, I. Civil en Computación. U. de Chile
• Brian Townley: Ph.D., University of Queens, Canadá
• Axel Troncoso: Ingeniero Civil de Minas, Universidad de Santiago
• Juan Luis Yarmuch: Ph.D., University of Melbourne, Australia

Admission Requirements

To apply for the program, candidates must:

• Hold a bachelor's degree or professional title in a field related to the program.
• Have experience in an area related to the program.
• Submit a resume.

Tuition Fees

The cost of the program is CLP 4,990,000 (approximately USD 5,300).

Payment Terms

• A non-refundable registration fee of CLP 500,000 must be paid to secure a place in the program.
• The program fee can be paid in installments before the start of each module.
• For company-sponsored participants, an order of purchase must be sent before the program starts.

Certification

Upon completion of all program requirements, students will receive a Diploma in Advanced Modeling Applications in Mining and Metallurgy issued by the Faculty of Physical and Mathematical Sciences of the University of Chile.

Location

The program will be held at the University of Chile, Department of Mining Engineering, Beauchef 850, Santiago Centro, Chile.

Evaluation

Each module will be evaluated individually through:

1. Delivery of project reports and/or Python codes (65%).
2. Theoretical content tests (35%). The minimum passing grade is 4.0 on a scale of 1.0 to 7.0. The final grade will be the simple average of the grades obtained in each module.