B.Sc. Mathematics

Programme Mode

Full-Time

Duration

4 Years

Empowering Minds Through Mathematical Excellence

Overview

The B.Sc. Mathematics programme at FUADSI is designed to develop analytical thinking, logical reasoning, and problem-solving skills. The curriculum combines pure and applied mathematics, equipping students with the tools to tackle complex challenges in science, technology, and industry.

Programme Objectives

Build a strong foundation in mathematical theories, structures, and techniques.
Develop proficiency in quantitative analysis and mathematical modeling.
Foster critical thinking and abstract reasoning for real-world applications.
Prepare students for advanced studies, research, and careers in mathematics and related fields.

Career Opportunities

Graduates can pursue careers as:

Data Analysts
Actuaries
Operations Researchers
Financial Analysts
Statistical Consultants
Academic Researchers
Quantitative Analysts

Key Features

Comprehensive coverage of pure and applied mathematics.
Hands-on experience with mathematical software and computational tools.
Research projects and seminars to enhance analytical skills.
Opportunities for interdisciplinary collaboration and certifications.

Admission Requirements

For detailed information on the general admission requirements, application guidelines, deadlines, and required documents, please visit the Admissions page.

How to Apply

To apply, visit the Undergraduate Admissions Portal.

Year	Semester	Core Subjects	Description
Year 1 – Foundations	Semester 1	Calculus I Algebra I Trigonometry & Analytical Geometry Introduction to Probability & Statistics Introduction to Computer Programming	Basic calculus, algebraic structures, geometry, introductory statistics, and programming fundamentals.
Year 1 – Foundations	Semester 2	Calculus II (Multivariable) Algebra II (Matrices & Vector Spaces) Differential Equations I Probability Theory Discrete Mathematics	Multivariable calculus, linear algebra, first-order ODEs, probability concepts, and discrete structures.
Year 2 – Intermediate	Semester 3	Real Analysis I Linear Algebra & Matrices Differential Equations II Mathematical Methods Mechanics	Rigorous analysis, advanced linear algebra, higher-order ODEs, and physical modeling techniques.
Year 2 – Intermediate	Semester 4	Real Analysis II Abstract Algebra I Complex Analysis I Numerical Methods Mathematical Statistics	Advanced real analysis, introduction to group theory, complex functions, and numerical algorithms.
Year 3 – Advanced Core	Semester 5	Complex Analysis II Abstract Algebra II Partial Differential Equations Operations Research Elective (Graph Theory / Mathematical Modelling)	Advanced complex analysis, algebraic structures, PDEs, optimization, and applied electives.
Year 3 – Advanced Core	Semester 6	Topology I Advanced Calculus Probability & Stochastic Processes Numerical Analysis II Elective (Cryptography / Advanced Statistics)	Introduction to topology, advanced calculus techniques, stochastic modeling, and specialized electives.
Year 4 – Specialization & Research	Semester 7	Advanced Algebra / Analysis Topics Mathematical Modelling & Simulation Elective (Financial Mathematics / Data Science) Seminar Presentation	Specialized topics, applied modeling, interdisciplinary electives, and seminar skills.
Year 4 – Specialization & Research	Semester 8	Advanced Topics in Mathematics Research Project / Dissertation Elective (Machine Learning / Optimization) Professional Ethics & Entrepreneurship	Capstone research, advanced mathematical applications, and professional development.