Mathematics Bachelor

Explore the programs and courses offered by Mathematics Bachelor

Browse Programs Admission Information

Program Overview

The Bachelor's Degree in Mathematics is part of the LMD system (Licence-Master-Doctorate) and is structured into six semesters (three academic years). It aims to provide students with a solid foundation in fundamental and applied mathematics, as well as computer science, while equipping them with methodological and professional skills.

In conclusion, This Bachelor's program provides a comprehensive and rigorous training, preparing students for research, teaching, or industrial and IT applications. It follows a logical progression that allows students to gradually develop their mathematical skills while gaining exposure to complementary disciplines.


Teaching Language : english

Curriculum Highlights

Core Courses

First Year (Semesters 1 & 2): Mathematical and Computational Foundations

·        Analysis and Algebra: Fundamental concepts (sequences, series, functions, vector spaces, etc.).

·        Algorithms and Data Structures: Introduction to programming and algorithms.

·        Machine Structure: Computer architecture and digital logic.

·        Methodology: Scientific terminology, communication, scientific English.

·        Physics and Electronics: Mechanics concepts and computer components.

Second Year (Semesters 3 & 4): Deepening Mathematical Concepts

·        Advanced Analysis: Fourier series, generalized integrals, complex analysis.

·        Linear Algebra and Algebraic Structures: Eigenvalues, matrices, linear applications.

·        Topology: Metric spaces, compactness, connectedness.

·        Probability and Statistics: Fundamental concepts and applications.

·        Numerical Analysis: Approximation, numerical equation solving.

Third Year (Semesters 5 & 6): Specialization and Applications

·        Advanced Mathematics: Measure and integration theory, differential equations, normed vector spaces.

·        Optimization and Modeling: Linear programming, constrained and unconstrained optimization.

·        Projects and Didactics: Introduction to teaching and mathematical modeling.


Advanced Topics

Elective Courses: Topics such as group theory, advanced probability, partial differential equations.

Admissions Information