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Certification in Ore Reserve Risk and Mine Planning Optimization

McGill University is a partner of the Catalogue Genie formation of the “Ordre des ingénieurs du Québec”.
Once a course is successfully completed, your OIQ member file will be updated with the course information.

NEW - Strategic Mine Planning Under Uncertainty: From Complex Orebodies and Single Mines to Mining Complexes (complimentary webinar)

This course is cancelled for 2014. Dates for 2015 are to be confirmed.






Module 1: Lectures

2015: TBC

5 days

Montreal, Canada (on-site)

Module 2: Assignments/workshops

2015: TBC
2015: TBC

90 hours

Montreal, Canada (remote)

Module 3: Project presentations and analysis

2015: TBC

4 days

Montreal, Canada (on-site)


Course fee (Canadian Dollars)

Participant Standard Registration
ON-SITE: Week 1 and Week 4
REMOTE: Week 2 and Week 3
Special Registration
(Week 1, 2, 3 and 4)
COSMO Member $ 7,200 $ 9,575
Non-member $ 9,750 $ 13,875

Receive a 10% discount if you register before March 28, 2014.

Course Number: CENG 222

Credit Weight: 16 Continuing Education Units (CEUs)

Location: McGill University, Montreal, Quebec, CANADA



This practical program is designed for busy mining professionals who wish to update their skills and knowledge base in modern modelling techniques for ore bodies and optimisation methodologies for strategic mine planning. Emphasis is placed on ore reserve risk management and its effective integration to mine planning, an element that has been shown to have a significant, positive impact on a company's bottom line.
The program is offered in a blended-learning format where the 1st week and final week is offered in Montreal, Canada followed by the remainder of the course in an on-line/remote format. Its four weeks of engagement with the topic are spread over a period of 4 months and include lectures, assignments and a main project.
This course is given in collaboration with the COSMO - Stochastic Mine Planning Laboratory.

Who Should Attend?

Mining industry professionals including mining engineers, mine geologists, resource analysts and project managers involved in feasibility studies, development or operations.

Prior exposure to one or more aspects of the course such as ore reserve estimation, geostatistics or strategic mine planning is desirable.

Material/Technology Required to attend:

  • A computer running Windows XP, Vista, Seven, Mac OS with high speed Internet connection (minimum is 128mbps)
  • A headset with a microphone (mini‐jack or USB). Using the computer microphone and speakers is not recommended because it generates feedback noise.
  • A web camera is optional.


Learn through a new integrated way both the concepts and methods for the geostatistical modelling of orebodies and the optimisation of mine design and life-of-mine production planning;

• To accomplish this, the course covers established methods to build up to the presentation of a new generation of applied technologies dealing with geological risk and its substantial effects on ore reserves, strategic planning, optimisation, risk management and profitability;

Learn through substantial hands-on the practice of the concepts and technical methods first covered at depth;

• This is accomplished through actual case studies, assignments and a major project, pertinent to the feasibility, design, development and planning stages of mining ventures, as well as the financial optimization of relevant aspects of mine production;

Topics Covered

• Methods for modeling orebodies;
• Optimization techniques;
• Advancing from conventional orebody modeling: Case studies and models of geological uncertainty;
• Moving forward from traditional optimization: Case studies in mine planning with risk management and integration of geological uncertainty;
• Geological risk management and demand-driven production scheduling;
• Methods to further integrate market uncertainties in mine planning decisions.

For a complete course outline, please click

Certification in Ore Reserve Risk and Strategic Mine Planning Optimization Summer 2014 Course Outline [.pdf]

Participants are expected to invest 40 hours on lecture materials, 40 hours on four assignements common to all participants and informal interaction and approximately 80 hours on a project to be decided between the instructor and each participant or group.

The project is a key element of the program. Participants are asked to use their own database and should expect to allocate approximately 30% of their time after the first week to work on their project, preferably, selected to meet the interests of the participant's own organization or place of business.

Satisfactory completion of all assignments and the course project leads to the awarding of a Certification from McGill University and 16 continuing education units.


Roussos Dimitrakopoulos is a Professor at McGill University, the Canada Research Chair (Tier I) in Sustainable Mineral Resource Development and Optimization Under Uncertainty and Director of the COSMO Laboratory at McGill University. Previously, he was a Professor and the Director of the Bryan Research Centre at the University of Queensland, Australia. He holds a PhD from Ecole Polytechnique, Montreal and a MSc from the University of Alberta, Edmonton. He has been working in orebody risk analysis since 1983 and during the last decade on risk-based optimization in open pit mine design. Roussos has been Senior Geostatistician for the Newmont Mining Co., Denver and Senior Consultant for Geostat Systems Int. He has taught and worked in Australia, North America, South America, Europe, the Middle East, South Africa and Japan.

COSMO Stochastic Mine Planning Laboratory and McGill Mining Home Page

Cancellation Policy

After the first lecture, students may officially cancel their registration by notifying the Faculty Partnerships & Summer Studies in writing prior to the second lecture. A $100.00 cancellation fee will be assessed. There is no refund of course fees for students who do not officially cancel their registration prior to the second lecture.