School of Science & Engineering
Preparing tomorrow's innovators through practical STEM education, cutting-edge research, and industry-focused learning experiences.
Welcome from Dean Sinde
The School of Science and Engineering is a recently established academic institution that merges the former STEM School with the newly launched engineering programs, thereby strengthening IUGB's strategic position in the domains of science, engineering, and emerging technologies.
The establishment of SSE embodies IUGB's strategic vision aimed at enhancing engineering education and incorporating emerging disciplines such as Artificial Intelligence, Software Engineering and Computer Science, Petroleum Engineering, and Mining Engineering, while also maintaining a commitment to excellence in the fundamental sciences.
By incorporating innovation, digital technologies, and applied research into our curricula, SSE acts as a conduit between academic knowledge and its practical applications in the real world. We are dedicated to cultivating a collaborative, inclusive, and continuously improving environment, where students, faculty, and partners unite to expand the frontiers of knowledge and innovation. Our goal is to establish SSE as a premier center of excellence in science and engineering education in West Africa and beyond.
I warmly invite students, parents, partners, and stakeholders to embark on this thrilling journey of growth, innovation, and academic excellence with us. Together, we will create a future fueled by knowledge, enhanced by technology, and led by integrity.
Explore Our ProgramsBuilding the next generation of African innovators
About SSE
The School of Science and Engineering (SSE) provides high quality education in computer science, engineering, mathematics, and emerging technologies. Beginning in 2026, SSE offers a comprehensive portfolio of eight Bachelor's degree programs, uniting the disciplines inherited from the former STEM School with four new engineering programs in Petroleum Engineering, Mining Engineering, Artificial Intelligence, and Software Engineering and Computer Science.
This diversified academic structure positions SSE as a dynamic center of excellence, dedicated to producing highly skilled, innovative, and globally competitive graduates ready to drive technological advancement in Côte d'Ivoire and West Africa.
Strategic Goals
Driving innovation through education and research
Practical Excellence
Delivering hands-on, industry-focused education through classroom learning, laboratory experience, capstone projects, and internship opportunities.
Regional Impact
Meeting the urgent demand for skilled STEM graduates by developing efficient pathways between students and industry across West Africa.
Context & Vision
Côte d'Ivoire's ambitious development agenda requires a skilled workforce capable of driving digital transformation and technological innovation. SSE was established to answer that call, building a world-class engineering school on IUGB's proven STEM foundation.
Addressing a Critical Skills Gap
- Specialists in software engineering and artificial intelligence
- Petroleum and mining engineers and technical experts in extractive resources
- Mechanical engineers and specialists in advanced manufacturing
- Data scientists, statisticians, and applied mathematicians
IUGB's Proven STEM Foundation
(27% Female)
Within 6 Months
Countries Employing Grads
Objective of the SSE
- Establish comprehensive engineering education, undergraduate programs in critical engineering disciplines aligned with national development priorities.
- Develop a digital-ready workforce, equip students with cutting-edge digital literacy, programming skills, and emerging-technology competencies.
- Promote inclusive excellence, target 50% female enrollment and ensure regional diversity across all programs.
- Support economic transformation, contribute directly to Côte d'Ivoire's transition to a knowledge-based, innovation-driven economy.
- Foster an innovation ecosystem, establish research labs and technology-transfer capabilities.
Our Departments
The School of Science and Engineering is organized into three departments that together deliver its eight Bachelor of Science programs.
Department of Engineering
Applied engineering disciplines covering the design, construction, and operation of mechanical, energy, and mineral systems, supported by hands-on laboratory and field training.
Department of Computer Studies
Computing, software, and intelligent systems, preparing students to develop applications, build AI-driven solutions, and work with data in a technology-driven economy.
Department of Mathematics and Statistics
The quantitative foundation of the school, covering mathematics, statistics, and analytics, with applications in finance and actuarial science.
Academic Programs
Eight Bachelor of Science programs across science, engineering and emerging technologies
The Academic Framework
Every SSE degree blends a broad liberal-arts University Core with rigorous foundational, major, and specialization coursework, culminating in a capstone project and an internship. Totals range from 120 to 140 credits depending on the program.
Capstone Project
Under the supervision of a faculty advisor, every student completes a final-year research or development project that synthesizes the skills mastered throughout the program and addresses a real problem in their field. Students produce a written thesis and present their work to a faculty committee.
Internship Experience
A full immersion in a professional environment, where students are placed under the same conditions as an employee and complete a real project assigned by the host organization. The University–Industry liaison office helps students secure placements; each intern submits a written report and presents their achievements.
Programs in Detail
Overviews, learning outcomes, concentrations and career prospects for every undergraduate degree at SSE.
New Program · Spring 2026
Bachelor of Science in Artificial Intelligence
BS AI
Bachelor of Science in Artificial Intelligence
The Bachelor of Science in Artificial Intelligence is one of four new engineering programs launching in Spring 2026. Designed as a stand-alone degree, it provides students with strong foundations in fundamental principles as well as advanced knowledge and practical skills in artificial intelligence, directly addressing the national shortage of specialists in software engineering and AI.
Detailed information for this program, including its objectives, learning outcomes, concentrations, and full curriculum, will be published here shortly.
Inherited from STEM
Bachelor of Science in Computer Science
BS CSC · 120 Credits
Bachelor of Science in Computer Science
The BS in Computer Science offers a practically oriented curriculum in the theoretical concepts and practical methodologies of the discipline. Students learn to architect, design, build, and write efficient software algorithms to solve problems, and to use computer technologies to improve performance, accuracy, and data reliability, preparing them to offer professional services in emerging technologies.
Concentrations
Database & Knowledge-Based Systems
Develops expertise in database and deduction techniques.
Network & Mobile Communications
Masters computer network architecture, design, administration, and network application development.
IT & Mobile Application Development
Focuses on information technology and the design and development of mobile applications.
Intended Learning Outcomes
- Work competently in technical and professional careers in Computer Science and IT.
- Demonstrate understanding of the fundamental principles and concepts of computer science.
- Show in-depth knowledge of software development, networks, and information management.
- Plan, design, implement, and maintain hardware, software, or networked projects.
- Work across multiple programming environments, languages, and design paradigms.
- Present information and write clearly.
- Develop deep understanding of a specialty area through research and internships.
- Apply planning, time-management, problem-solving and decision-making skills.
Career Prospects
Graduates work across telecommunications, banking, insurance, manufacturing, healthcare, media, government, education, retail, and research.
Credit Structure (120 credits)
| Category | Credits |
|---|---|
| University Core Requirements | 45 |
| Program Requirements | 17 |
| Major Requirements | 37 |
| Advanced CSC Courses (select four) | 12 |
| General Electives | 9 |
Full degree plan, Program, major & advanced courses
| Course | Credits |
|---|---|
| Program Requirements (17 credits) | |
| MTH 1402 Calculus II | 4 |
| MTH 1403 Calculus III | 4 |
| CSC 2300 Principles of Computer Science | 3 |
| MTH 2302 Introduction to Linear Algebra | 3 |
| PHY 3300 Electronics | 3 |
| Major Requirements (37 credits) | |
| CSC 2301 Principles of Computer Programming | 3 |
| CSC 3300 Computer Organization & Programming | 3 |
| CSC 3301 Operating Systems and Networking | 3 |
| CSC 3302 Data Structures | 3 |
| CSC 4300 Computer Architecture | 3 |
| CSC 4302 Wireless Networks & Systems Admin. | 3 |
| CSC 4303 Programming Language Concepts | 3 |
| CSC 4305 Software Engineering | 3 |
| CSC 4306 Design & Analysis of Algorithms | 3 |
| CSC 4307 Database Systems | 3 |
| CSC 4499 Capstone | 4 |
| CSC 4333 Internship | 3 |
| Advanced CSC Courses, select four (12 credits) | |
| CSC 4310 Platform-based System Development | 3 |
| CSC 4311 Data Mining | 3 |
| CSC 4312 Information Security | 3 |
| CSC 4315 Artificial Intelligence | 3 |
| CSC 4316 Web Programming | 3 |
| CSC 4317 Interactive Application Design | 3 |
| CSC 4318 Advanced Network Com. & Security | 3 |
| CSC 4319 Advanced Database Administration | 3 |
Plus University Core (45 cr) and General Electives (9 cr).
Inherited from STEM
Bachelor of Science in Data Science
BS DSC
Bachelor of Science in Data Science
Data Science is an interdisciplinary field that unifies mathematics, statistics, computing, data mining, and machine learning to discover and extract knowledge and insights from structured and unstructured data. The BS in Data Science answers the growing demand in West Africa for multidisciplinary scientists who can make sense of the profusion of data generated in industry, business, government, education, and social media, bridging the gap between computer science, mathematics, and statistics.
The curriculum is inspired by renowned programs at the University of Houston, University of Melbourne, Manchester University, Imperial College London, University of Warwick, and others. In the first two years students complete University core requirements and prerequisites in mathematics, statistics and computer science before advancing to core data-science skills: computational, analytical, and data-stewardship competencies.
Intended Learning Outcomes
- Show mastery of the scientific fundamentals of data science.
- Use modern statistical methodology and computing.
- Apply data-science techniques to data-management challenges.
- Develop skills in the most-used data-science programming languages.
- Perform statistical data analysis with professional software.
- Use machine-learning algorithms to mine unstructured data.
- Interpret analytical models to make better business decisions.
- Organize and manage data sets, and communicate solutions clearly.
Career Prospects
Inherited from STEM
Bachelor of Science in Mathematics
BS MTH · 120 Credits
Bachelor of Science in Mathematics
The BS in Mathematics introduces students to a vast body of mathematical knowledge and shows how mathematics can be used to solve real-life problems, with emphasis on programming, modeling, reasoning, and problem-solving. Graduates find employment in business, computing, research, insurance, securities, banking, government, education, and statistics, or move on to graduate study.
Concentrations (select one · 12 credits)
Actuarial Science
12 crMathematical statistics, stochastic models, theory of interest, and life contingencies.
Financial Engineering
12 crComputational finance, derivatives valuation, regression analysis, and Monte-Carlo simulation.
Statistics
12 crApplied linear regression, applied statistical methods, resampling, and nonparametric statistics.
Intended Learning Outcomes
- Demonstrate mastery of mathematics sufficient for a career in business, industry, or government.
- Create viable mathematical models and use them to solve practical problems.
- Apply fundamental analytical techniques and computational methods to understand the behavior of systems.
- Communicate mathematical knowledge and apply technology tools to solve problems.
- Maintain a core of mathematical knowledge adaptable to changing technologies.
Career Prospects
Credit Structure (120 credits)
| Category | Credits |
|---|---|
| University Core Requirements | 45 |
| Program Requirements | 17 |
| Major Requirements | 37 |
| Concentration (select one) | 12 |
| General Electives | 9 |
Full degree plan, Program & major requirements
| Course | Credits |
|---|---|
| Program Requirements (17 credits) | |
| MTH 1402 Calculus II | 4 |
| MTH 1403 Calculus III | 4 |
| MTH 2302 Introductory Linear Algebra | 3 |
| CSC 2300 Principles of Computer Science | 3 |
| CSC 2301 Principles of Computer Programming | 3 |
| Major Requirements (37 credits) | |
| MTH 3300 Differential Equations | 3 |
| MTH 3301 Abstract Algebra | 3 |
| MTH 3303 Intermediate Analysis | 3 |
| MTH 4300 Mathematical Statistics I | 3 |
| MTH 4301 Transforms in Applied Mathematics | 3 |
| MTH 4302 Introduction to Stochastic Processes | 3 |
| MTH 4303 Linear Algebra | 3 |
| MTH 4304 Numerical Analysis I | 3 |
| MTH 4305 Real Analysis I | 3 |
| MTH 4306 Real Analysis II or MTH 4307 Numerical Analysis II | 3 |
| MTH 4499 Capstone | 4 |
| MTH 4333 Internship | 3 |
Plus University Core (45 cr), one Concentration (12 cr) and General Electives (9 cr).
Inherited from STEM
Bachelor of Science in Mechanical Engineering Technology
BS MET · 130 Credits
Bachelor of Science in Mechanical Engineering Technology
The MET major provides a well-rounded, application-oriented education focused on existing and emerging developments in the field. Graduates develop the theoretical and practical knowledge needed for careers in local and national industries, emphasizing the latest advances in computer-aided drafting, design, and manufacturing, and the application of computer software to analyze and design mechanical and automated manufacturing systems.
Concentrations (select one · 12 credits)
Computer-Aided Design & Manufacturing
12 cr · select fourIndustrial work measurement, stress analysis applications, materials selection, biomechanics, CAD II, and manufacturing systems control.
Petroleum Technology
12 cr · select fourOffshore systems, pipeline design, valve design, drilling technology fundamentals, and downhole drilling tools.
Intended Learning Outcomes
- Engage in applications-oriented design, manufacturing and management of mechanical systems, including CAD/CAM.
- Work competently in technical and professional MET careers.
- Function effectively both individually and on project teams.
- Use oral, written and computer-based communication to present technical work.
- Grow professionally in a diverse and changing business environment.
- Apply the highest professional and ethical standards in industry.
- Understand local, national, and global issues in mechanical-systems development.
Career Prospects
Credit Structure (130 credits)
| Category | Credits |
|---|---|
| University Core Requirements | 45 |
| Program Requirements | 21 |
| Major Requirements | 46 |
| Concentration (select one) | 12 |
| General Electives | 6 |
Full degree plan, Major requirements (46 credits)
| Course | Credits |
|---|---|
| MET 1364 Materials & Processes I | 3 |
| MET 2354 Introduction to Mechanics | 3 |
| MET 3318 Fluid Mechanics Applications | 3 |
| MET 3118 Fluid Mechanics Applications Lab | 1 |
| MET 3355 Strength of Materials | 3 |
| MET 3155 Strength of Materials Lab | 1 |
| MET 3331 Applied Thermodynamics | 3 |
| MET 3340 Engineering Graphics & Computer-Aided Drafting | 3 |
| MET 3342 Elements of Plant Design | 3 |
| MET 3358 Dynamics of Mechanisms | 3 |
| MET 3360 Auto Manufacturing Systems | 3 |
| MET 3365 Computer-Aided Design I | 3 |
| MET 3367 Quality Control Technology | 3 |
| MET 4372 Materials Technology | 3 |
| MET 4172 Materials Technology Lab | 1 |
| MET 4388 Ethics in Engineering Technology | 1 |
| MET 4499 Capstone | 4 |
| MET 4398 Internship | 3 |
Plus University Core (45 cr), Program Requirements (21 cr), one Concentration (12 cr) and General Electives (6 cr).
New Program · Spring 2026
Bachelor of Science in Mining Engineering
BS ME
Bachelor of Science in Mining Engineering
The BS in Mining Engineering responds to Côte d'Ivoire's considerable potential in natural resources, particularly precious minerals and industrial materials. The program embraces all activities required to recover valuable metals and minerals from the earth's crust. Core topics include rock mechanics, rock fragmentation, plant and mine design, mine ventilation, surveying, valuation, industrial hygiene, mineral law, mine safety, mineral processing, solution mining, and operational research. The curriculum draws on institutions such as Colorado School of Mines, Penn State, the University of Alberta, and the University of Calgary, and follows ABET 2025–2026 recommendations.
Intended Learning Outcomes
- Demonstrate knowledge of mining principles, exploration, mine planning, extraction, and mineral processing.
- Understand geological, geotechnical, and environmental aspects of mining operations.
- Explain mine safety, health, and environmental regulations.
- Apply engineering tools for mine design, ore-reserve estimation, and production optimization.
- Conduct mineral exploration, sampling, and geostatistical analysis.
- Analyze complex mining and geological data for technical decisions.
- Evaluate risks and develop mitigation strategies in mining projects.
- Apply sustainable practices and keep pace with automation, AI, and digital twins.
Career Prospects
Associated Minor
- Minor in Mining Management
New Program · Spring 2026
Bachelor of Science in Petroleum Engineering
BS PE
Bachelor of Science in Petroleum Engineering
The BS in Petroleum Engineering responds to the growing demand for highly qualified professionals in Côte d'Ivoire's expanding hydrocarbon sector. With recent significant offshore discoveries set to increase national production capacity, well-trained petroleum engineers are more critical than ever. The program trains competent, innovative, and ethically responsible engineers equipped to contribute to efficient resource management, technological innovation, operational excellence, and sustainable development.
It focuses on the safe and environmentally sound exploration, evaluation, development, and recovery of oil and gas. Through classroom, laboratory, and on-site field work, students master geology and geophysics, well drilling, fluid and rock behavior, formation evaluation, well completions and stimulation, well testing, production operations, reservoir engineering, enhanced oil recovery, project economics, and environmental and safety practice. The curriculum draws on institutions such as Colorado School of Mines, University of Houston, Penn State, Texas A&M, and the University of Tulsa, and follows ABET 2025–2026 recommendations.
Intended Learning Outcomes
- Identify, formulate, and solve complex engineering problems using engineering, science, and mathematics.
- Apply engineering design with consideration of public health, safety, and welfare.
- Explain exploration, drilling, production, reservoir engineering, refining, and petroleum economics.
- Use modern tools for subsurface characterization, well design, and production optimization.
- Apply reservoir modeling, simulation, and well-logging interpretation to optimize recovery.
- Design safe, efficient, and cost-effective drilling and production plans.
- Operate petroleum software, digital oilfield systems, and laboratory tests.
- Apply data analytics for predictive maintenance and production optimization.
Career Prospects
Associated Minors
- Minor in Petroleum Engineering
- Minor in Petroleum Data Analytics
New Program · Spring 2026
Bachelor of Science in Software Engineering and Computer Science
BS SWE-CSC
Bachelor of Science in Software Engineering and Computer Science
The Bachelor of Science in Software Engineering and Computer Science is a new program launching in Spring 2026. Like the BS in Mathematics, it distinguishes itself by offering multiple concentration areas, allowing students to specialize in specific sectors and enhance their professional orientation and adaptability to diverse career paths.
Detailed information for this program, including its objectives, learning outcomes, concentrations, and full curriculum, will be published here shortly.
Minors & Concentrations
SSE offers a rich selection of minors that enable students from other disciplines to broaden and diversify their academic profiles, equipping them with complementary skills increasingly valued in today's competitive, data-driven world.
About each minor
- Actuarial Science (ASC): a strong analytical foundation for managing risk, combining mathematics, economics, and finance, theory of interest and life contingencies.
- Applied Artificial Intelligence (AAI): practical application of AI methods and tools across engineering and scientific disciplines.
- Computer Science (CSC): fundamentals of computer science, programming, theoretical foundations, and data structures, plus three advanced courses of the student's choice.
- Financial Engineering (FEN): tools of financial engineering and their application to pricing instruments, derivatives, portfolio management, and corporate hedging.
- Mathematics (MTH): develops the quantitative knowledge and skills to apply mathematics to real problems and pursue graduate study; Calculus II & III plus three advanced courses.
- Mining Management (MM): the management, planning, and operational dimensions of the mining and extractive industries.
- Petroleum Data Analytics (PDA): applies data-analytics techniques to petroleum exploration and production data.
- Petroleum Engineering (PE): a secondary specialization in petroleum exploration, drilling, and production for students from other disciplines.
- Statistics (STA): applied linear regression, applied statistical methods, Monte-Carlo simulation and resampling, and nonparametric statistics.
University Core & Minor Plans
The liberal-arts University Core that every SSE student completes, plus the detailed degree plans for our quantitative minors.
University Core Requirements45 cr
| Area | Credits |
|---|---|
| I. Communications (ENG 1301, ENG 1302) | 6 |
| II. Mathematics (Calculus I) | 4 |
| III. Mathematics Reasoning (Discrete Math / Engineering Math) | 3 |
| IV. Natural Sciences (Physics / Biology / Chemistry sequence) | 8 |
| V. Humanities (select one) | 3 |
| VI. Government (POL 1301, POL 2315) | 6 |
| VII. History (HIS 1305, HIS 2305) | 6 |
| VIII. Visual and Performing Arts (select one) | 3 |
| IX. Social Sciences (select one) | 3 |
| X. Writing (COM 2301 Technical Communication) | 3 |
Minor in Mathematics17 cr
Open to non-STEM majors.
| Course | Credits |
|---|---|
| Core Requirements (8 cr) | |
| MTH 1402 Calculus II | 4 |
| MTH 1403 Calculus III | 4 |
| Advanced Courses, select three (9 cr) | |
| MTH 3/4XXX Advanced Mathematics electives | 9 |
Minor in Actuarial Science18 cr
| Course | Credits |
|---|---|
| Core Requirements (15 cr) | |
| ASC 3305 Risk Modeling and Insurance | 3 |
| ASC 4310 Theory of Interests | 3 |
| ASC 4314 Life Contingencies I | 3 |
| ECO 2305 Principles of Macroeconomics | 3 |
| ECO 2306 Principles of Microeconomics | 3 |
| Advanced Course, select one (3 cr) | |
| ASC 4315 Life Contingencies II | 3 |
| MTH 4312 Probability and Statistics | 3 |
| MTH 4314 Mathematical Derivatives Valuation | 3 |
| MTH 4315 Stochastic Models | 3 |
Non-STEM majors complete a 19-credit version with additional foundational courses (incl. Calculus II and Mathematical Foundations of Actuarial Science).
Minor in Financial Engineering18 cr
| Course (for STEM majors) | Credits |
|---|---|
| Core Requirements (6 cr) | |
| ECO 3300 Intermediate Microeconomics or ECO 3310 Intermediate Macroeconomics | 3 |
| FIN 3305 Corporate Finance | 3 |
| Advanced Courses (12 cr) | |
| FIN 4301 Fundamentals of Valuation I | 3 |
| MTH 3340 Introduction to Fixed Income Mathematics | 3 |
| MTH 4320 Introduction to Stochastic Processes | 3 |
| MTH 4314 Mathematical Derivatives Valuation | 3 |
Non-STEM majors complete a 19-credit version with additional foundational mathematics and economics courses.
Minor in Computer Science18 cr
A strong background in the fundamentals of computer science, programming, theoretical foundations, and data structures, plus three courses in an advanced area of choice, Computer Networks, Wireless Networks & Mobile Communications, Information Security, Internetwork Programming, Parallel & Distributed Computing, Mobile Application Development, Database Systems, Data Visualization, or Data Mining.
Biography of Dr. Seydou Sinde
Academic leadership rooted in petroleum engineering excellence and industry experience.
Dr. Sinde is an Associate Professor of Petroleum Engineering. In July 2025, he was appointed as the Dean of the School of Science and Engineering, a newly formed academic entity that consolidates the previous STEM School with the newly introduced engineering programs, thus enhancing IUGB's strategic stance in the fields of science, engineering, and emerging technologies. Dr. Sinde holds a PhD in Petroleum Engineering from Cairo University, which he completed in 2015. In 2009, he received his Master of Science in Petroleum Engineering from Cairo University, with a thesis titled "Casing While Drilling and Its Potential Implementation in the Western Desert Fields of Egypt."
Dr. Sinde joined IUGB in 2016 as an Assistant Professor in the School of Science, Technology, Engineering, and Mathematics (STEM). Since then, he has played a pivotal role in the academic development of several engineering disciplines, including Petroleum Engineering, Mechanical Engineering, and Industrial Engineering. His teaching portfolio encompasses a wide range of foundational and advanced courses including Materials & Processes, Applied Thermodynamics, Quality Control Technology, Introduction to Mechanics, Dynamics of Mechanisms, Elements of Plant Design, Fluid Mechanics Applications and Laboratory, Downhole Drilling Tools and Technology, Fundamentals of Drilling Technology, Fundamentals of Offshore Systems, Fundamentals of Pipeline Design, Fundamentals of Biomechanics, Automatic Manufacturing Systems, Manufacturing System Control, and Industrial Work Measurement.
Dr. Sinde possesses a wealth of professional experience in the petroleum sector. Between 2006 and 2016, he was employed at PetroServices GmbH, Egypt Branch, where he progressively advanced through various roles including Sample Catcher, Mud Logger, Data Engineer, Pressure Engineer, Operations Supervisor, and Chief Training Instructor. Subsequently, he took on the role of Field Coordinator at Triple L, Free Zone, a directional drilling firm active in Egypt and the Middle East.
Dr. Seydou Sinde exemplifies IUGB's vision of excellence and innovation through his distinctive blend of academic leadership, engineering proficiency, industrial experience, and technological advancement. He is instrumental in establishing the School of Science and Engineering as a center for advanced education and practical research in West Africa and beyond.
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