Mathematics

Overview

The BSc Mathematics program at Queen's University Belfast offers students a comprehensive and rigorous education in pure and applied mathematics, designed to develop strong analytical, problem-solving, and quantitative skills applicable across a wide range of careers. Throughout the duration of the course, students are engaged with fundamental mathematical concepts, theories, and techniques, as well as their practical applications in fields such as finance, computing, engineering, and scientific research.

Course Content

The curriculum covers core areas including calculus, algebra, differential equations, statistics, and mathematical modeling. Students have the opportunity to explore advanced topics such as abstract algebra, real analysis, numerical methods, and mathematical logic. The program integrates computational skills through the use of mathematical software and programming languages, enabling students to implement theories and analyze real-world data effectively.

Learning Experience

Queen's University Belfast emphasizes a supportive learning environment that combines lectures, seminars, practical workshops, and independent research. Students are encouraged to develop critical thinking, logical reasoning, and effective communication skills. The program also emphasizes teamwork and collaborative projects, reflecting the real-world scenarios where mathematical expertise is often applied in multidisciplinary teams.

Career Prospects

Graduates of the BSc Mathematics program are well-equipped for diverse careers in sectors including finance, data analysis, actuarial science, academia, and technology. The program also provides a strong foundation for postgraduate study and research in mathematics or related disciplines.

Research and Innovation

Students benefit from access to cutting-edge research facilities and are encouraged to participate in research projects, conferences, and seminars. Queen's University Belfast is renowned for its research excellence, which enhances the learning experience and provides students with insights into current mathematical developments.

Additional Opportunities

The program offers optional modules and elective courses enabling students to tailor their education according to their interests and career aspirations. There are also opportunities for industrial placements, study abroad experiences, and engagement with industry partners, fostering professional development and practical experience.

Entry Requirements and Support

The university provides comprehensive academic and pastoral support to help students succeed. Entry requirements are aligned with national standards, and the university offers guidance throughout the application process. Support services are available to assist with academic writing, research skills, and career planning.

In summary, Queen's University's BSc Mathematics program provides a challenging, enriching, and versatile education that prepares students for successful careers or further academic pursuits. Combining theoretical knowledge with practical skills, the program aims to cultivate mathematically literate graduates ready to meet the demands of a data-driven and technologically advanced world.

Detailed Course Facts

• EUR 4160 Year (EEA)
• EUR 13380 Year (Non-EEA)

England, Scotland and Wales £9,000; EU £3,575; International: £11,500

• English

Course Content

Applied Mathematics

Applied Mathematics is concerned with the application of mathematics to the study of the physical universe (including theoretical physics) as well as the social, industrial and commercial world.

Our modules include the study of Newtonian mechanics, the motion of fluids, electromagnetism, wave motion and diffusion processes, the physics of atoms, molecules and nuclei, numerical analysis, financial mathematics, and applications to the commercial world incorporating the methods of operational research. Computers are used to obtain accurate numerical solutions to the mathematical problems involved.

Level 1

Vector Algebra and Dynamics
Waves and Vector Fields

Level 2

Classical Mechanics
Fluid Mechanics and Electromagnetism
Methods of Applied Mathematics
Numerical Analysis

Level 3

Advanced Numerical Analysis
Calculus of Variations and Hamiltonian Mechanics
Dynamical Systems
Electromagnetic Theory
Financial Mathematics
Investigations
Mathematical Modelling in Biology and Medicine
Partial Differential Equations
Quantum Theory
Tensor Field Theory

Level 4

Advanced Mathematical Methods
Information Theory
Practical Methods for Partial Differential Equations
Statistical Mechanics
Theoretical Atomic Structure and Collisions
Project

Pure Mathematics

Pure Mathematics provides the essential theoretical tools used in the increasingly numerate science of today, and is continually developing new ones to solve problems at the forefront of research in many disciplines. At Queen's we offer a wide selection of modules in Analysis, Algebra and Topology - the basic topics common to most degree programmes involving Pure Mathematics in UK universities. Active research links are maintained with other institutions, both at home and abroad.

Level 1

Analysis and Linear Algebra
Numbers, Sets and Sequences

Level 2

Analysis
Complex Variables
Elementary Number Theory
Geometry
Group Theory
Linear Algebra

Level 3

Algebraic Equations
Computer Algebra
Convergence
Metric and Normed Spaces
Ring Theory
Set Theory

Level 4

Algebraic Topology
Functional Analysis
Integration
Mathematical Investigations
Rings and Modules
Topology
Project

Statistics and Operational Research

Statistics is concerned with deriving sound inferences from data. This may be experimental or observational and obtained from investigations of physical or biological phenomena or from the study of the workings of industry, commerce and society. Operational Research deals with the application of scientific method to obtaining the best or most acceptable solutions to the various problems which arise in the organisation and management of complex systems in industry and commerce.

Level 1

Introduction to Probability and Operational Research
Statistical Methods

Level 2

Linear Models
Methods of Operational Research
Statistical Inference

Level 3

Linear and Dynamic Programming
Statistical Data Mining
Stochastic Processes
Survival Analysis for Medicine
Project

Level 4

Statistics Project

MSci Degree

This four-year first degree programme is an extended version of the normal three-year BSc Honours degree, and is aimed primarily at students who intend to make significant use of their subject in their subsequent careers.
Students may register for either the three-year BSc Honours or the four-year MSci programme. Transfers to the MSci are permitted up to the end of Level 2, subject to performance. Progress to Levels 3 and 4 of the MSci is dependent on the student maintaining an approved high standard at Levels 2 and 3 respectively.

English Language Requirements

IELTS band : 6

To study at this university, you have to speak English. We advice you to

Requirements

MSci options

• A-level AAA including Mathematics
  OR
  A* (Mathematics) AB
  *For degrees marked with an asterisk this must include A-level Physics
• Irish Leaving Certificate AAB2B2B2B2 including Higher Level grade A in Mathematics
  *For degrees marked with an asterisk this must include Higher Level Physics grade A

Work Experience

No work experience is required.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course

Related Scholarships*

• Academic Excellence Scholarship

  "The Academic Excellence Scholarship can provide up to a 50 % reduction in tuition per semester. These scholarships will be renewed if the student maintains superior academic performance during each semester of their 3-year Bachelor programme. The scholarship will be directly applied to the student’s tuition fees."

• Access Bursary

  Bursary for UK students all subjects where the variable tuition fee rate is payable.

• Alumni Bursary

  Alumni Bursary for UK Undergraduate students

* The scholarships shown on this page are suggestions first and foremost. They could be offered by other organisations than Queen's University Belfast.

The Bachelor of Science in Mathematics at Queen's University Belfast offers students a comprehensive education in pure and applied mathematics, preparing graduates for diverse career paths in academia, industry, finance, data analysis, and technology. The programme's curriculum combines fundamental mathematical theories with practical applications, fostering critical thinking, problem-solving skills, and analytical abilities. Students gain a solid grounding in core areas such as algebra, calculus, statistics, discrete mathematics, and mathematical modeling, while also having the opportunity to specialise in advanced topics like computational mathematics, mathematical physics, and operations research. The programme is designed to develop not only theoretical understanding but also practical skills through project work, group collaborations, and the use of modern mathematical software.

Throughout the course, students engage in a mixture of lectures, tutorials, and laboratory sessions, ensuring that they can apply mathematical concepts to real-world problems. The university emphasizes a supportive learning environment, with experienced faculty committed to mentoring and guiding students. The programme includes assessment through coursework, examinations, and project work, providing a well-rounded academic experience. In addition to core mathematics modules, students may have options to choose electives that broaden their understanding or develop interdisciplinary skills, such as computing or economics.

Queen’s University Belfast also encourages students to participate in internships, research projects, and study abroad opportunities to enhance their practical experience and employability. The department maintains strong links with industry partners and research institutions, offering pathways for graduates into various sectors. Graduates of this programme are well-equipped with quantitative skills and analytical capabilities, making them highly competitive in the job market or suitable for further postgraduate study. The programme aims to nurture mathematical thinkers who can tackle complex challenges and innovate across multiple disciplines, contributing to the advancement of science, technology, and society at large.