Mathematics with Finance

This Bachelor of Science in Mathematics with Finance at Queen's University Belfast offers a comprehensive and rigorous curriculum designed to equip students with a strong foundation in mathematical principles, coupled with specialized knowledge in financial theory and practices. The programme aims to develop analytical thinking, problem-solving abilities, and quantitative skills essential for careers in finance, banking, insurance, and related fields. Throughout the course, students will explore core mathematical topics such as calculus, linear algebra, differential equations, and probability theory, alongside specialized modules in financial mathematics, risk management, investment analysis, and financial markets. The programme integrates theoretical instruction with practical application, providing opportunities for students to engage in real-world financial case studies, use industry-standard software, and participate in internships or industry projects where available. Emphasizing both academic excellence and employability, the programme prepares graduates to adapt to the rapidly evolving financial landscape and to pursue advanced studies or professional qualifications in finance and mathematics. The faculty comprising experienced academics and industry professionals ensures that the curriculum remains current, relevant, and aligned with industry standards. Students benefit from state-of-the-art facilities, a vibrant campus environment, and strong links with financial institutions and professional bodies. Graduates of this programme will be well-equipped to pursue careers as quantitative analysts, financial consultants, actuaries, data analysts, or progress onto postgraduate study in finance, mathematics, or related disciplines. With a focus on rigorous mathematical training and practical financial application, the Bachelor of Science in Mathematics with Finance at Queen's University Belfast provides an excellent foundation for a dynamic and rewarding career in the financial sector.

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

English Language Requirements

IELTS band : 6

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

Requirements

BSc Mathematics with Finance

• A-level A* (Mathematics) BB
  OR
  AAB including Mathematics grade A
• Irish Leaving Certificate AB2B2B2B2B2 including Higher Level grade A in Mathematics

Work Experience

No work experience is required.

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 degree in Mathematics with Finance at Queen's University Belfast offers students a comprehensive curriculum designed to develop strong analytical and quantitative skills, combined with a solid foundation in finance principles. This interdisciplinary program aims to prepare graduates for careers in financial analysis, risk management, banking, investment banking, and other finance-related fields. Throughout the course, students explore core mathematical disciplines, including calculus, linear algebra, probability, and statistics, integrated with specialized modules focusing on financial markets, financial mathematics, corporate finance, and quantitative methods.

The program emphasizes practical application of mathematical techniques to real-world financial problems, fostering both theoretical understanding and practical skills. Students will benefit from a blend of lectures, seminars, tutorials, and possibly computational labs, supporting active engagement and skills development. The program also provides opportunities for work-based learning, including placements or internships, allowing students to gain valuable industry experience and enhance their employability upon graduation.

Queen's University Belfast is known for its research excellence and strong links with industry, which are reflected in the curriculum design. The program is suitable for students with a strong interest in mathematics and finance, offering pathways into careers in financial institutions, insurance companies, asset management firms, and governmental agencies. Additionally, graduates will be equipped with the critical thinking, problem-solving, and quantitative analysis skills necessary to adapt to the fast-changing financial sector. The program's assessments typically include coursework, examinations, and projects, fostering a rigorous academic environment aimed at producing competent and versatile graduates ready to meet the demands of the financial industry.