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Bachelor of Science in Mining Engineering (BS ME)

Mining engineering focuses on the safe, economical, and environmentally responsible extraction of mineral resources.

Program Overview

Mining engineering focuses on the safe, economical, and environmentally responsible extraction of mineral resources from the earth and transforming them into more user-friendly forms while minimizing environmental impact.

The degree offers a comprehensive understanding of the workings of complex mining systems, the roles of mining companies, and the socio-environmental aspects of both surface and underground mining operations. It instills a solid foundation in basic sciences and engineering fundamentals, coupled with practical experience in applying engineering principles to resource exploitation and earth system construction.

Learning outcomes

Student outcomes describe what students are expected to know and be
able to do by the time of graduation. The Mining Engineering program is
designed to enable students to:

  • 1. Identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
  • 2. Apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well
    as global, cultural, social, environmental, and economic factors
  • 3. Communicate effectively with a range of audiences
  • 4. Recognize ethical and professional responsibilities in engineering
    situations and make informed judgments, which must consider the
    impact of engineering solutions in global, economic, environmental,
    and societal contexts
  • 5. Function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
  • 6. Develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
  • 7. Acquire and apply new knowledge as needed, using appropriate
    learning strategies.

Career prospects

Mining engineers design, construct and operate mine and quarry workings to extract coal, metals such as copper, iron or zinc and non-metals such as salt, sand, clay or phosphates. Their work may be concerned with deep mines, surface (opencast) mines or quarries. They are sometimes known as quarry engineers

Programs

Frequently Asked Questions

What is a Bachelor of Science in Mining Engineering?
The Bachelor of Science in Mining Engineering is an undergraduate degree that trains engineers to design, plan, operate, and manage mining projects. It focuses on the safe, efficient, and sustainable extraction of mineral resources such as gold, iron, copper, lithium, coal, and other critical minerals.

This program is ideal for students who:

  • enjoy mathematics, physics, and geology,
  • are interested in natural resources and infrastructure,
  • want a practical, field-oriented engineering career,
  • seek international job opportunities in mining and minerals.

Admission typically requires:

  • a scientific high school diploma or equivalent,
  • a solid background in mathematics and physics,
  • meeting the institution’s entrance requirements (tests or interviews, if applicable).
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Fatima Doumbia Koné is a Mathematics lecturer at the international University of
Grand-Bassam (IUGB). Among the courses she taught we have the following: Introduction to
Differential Equations, Elementary Statistics, Calculus(I,II,III), Transforms in Applied Math,
Introduction to Linear Algebra, Operations Research and Abstract Algebra.
She has a Bachelor degree in Mathematics (IUGB), a Master degree in Pure and Applied
Mathematics (AUST) and she is currently enrolled for a PhD in Mathematics at the African
University of Science and Tecnology (AUST), Abuja. She has also been an intern at the
Institutional Banking Group department within GTBANK CI (Garanty Trust Bank Côte
D’Ivoire).
She is a former IUGB student and she was the president of the science club in 2015.
Academically, her goal is to be a great researcher and innovator on the topics of asymptotic
theories in Fuzzy Probability Theory and their various applications to image processing. She
has good programming skills (JAVA, LaTeX, C++) and she is bilingual (French and English).
Over the years, she has been developing a method of teaching which not only put students at
the center of the learning process but also which deconstruct most of the stereotypes about the
inaccessibility of mathematical knowledge to everybody.
Regarding her research activities, she has been working since 2018 on the topic of integration
on Banach spaces and a preprint of an interesting work is available at
https://arxiv.org/pdf/1905.04480. She is continuing with her research on integration but now
her PhD studies focus on Random Sets Integration in Probability Theory. Professionally, she
is a very active lecturer at IUGB and she is currently the faculty advisor of the SHE CLUB,
which aims at promoting women empowerment by providing learning, leadership and
networking opportunities.

I am currently Associate Professor of computer and data science in the school of science technology, engineering and mathematics (STEM) at the International University of Grand-Bassam (IUGB).
From 2000 to 2018, I successively worked as a research scientist at Independent Computing Research in Montreal, Quebec, Canada; Assistant Professor at the department of computer science and
engineering at Université Laval in Québec, Canada; Research Associate at the Japan Advanced Institute of Science and Technology (JAIST) where I also received a Ph.D. degree in computer science in March 2000. Upon receiving a master's degree in mathematical and computing science
from the Tokyo Institute of Technology (TIT) in 1990 in Japan, I worked as a research scientist at National/Panasonic, one of the most prestigious companies in Tokyo.
I am involved in research on Artificial Intelligence, Data Science, Semantic Web and its applications in a wide range of fields. Besides, I designed the current Data Science program in effect
since September 2021 in STEM. In addition, I am also one the founders and current President of the
Ivorian Association of Artificial Intelligence and member of ORBICOM, the Network of UNESCO Chairs in Communication headquartered in University of Quebec in Montreal (UQUAM), Canada.

Kwame Simpe Ofori is an Assistant Professor in Finance at the school of Business and Social Sciences. He holds a doctorate degree in Finance, a master’s degree in finance and a master’s degree in Telecommunications Technology. He is also currently a PhD student at the School of Management and Economics, University of Electronic Science and Technology of China. He has taught courses in the areas of finance, computer science, computer and electrical engineering, and telecommunication engineering. Before joining IUGB he lectured in several universities in Ghana. He also worked with Ghana Telecommunications Company as a support engineer. His research interests are in the areas of consumer behaviour, technology adoption and trust in online systems and in recent times financial econometrics. His papers have appeared in several CABS-ranked journals such as Information Technology and People, Journal of Cleaner Productions, Quality Management Journal, Marketing Intelligence and Planning, International Journal of Bank Marketing, Total Quality Management and Business Excellence, Journal of African Business, Journal of Hospitality and Tourism Technology and Society and Business Review.