BSc Mathematics with Finance and Investment Banking with International Foundation Year

Program Overview

This program combines an International Foundation Year with a BSc in Mathematics with Finance and Investment Banking, providing international students with a strong foundation in mathematics and finance. It prepares students for careers in the financial sector, investment banking, or related fields, and offers the opportunity to study at a top UK university.

Program Outline

It consists of a one-year International Foundation Programme followed by a three-year BSc Mathematics with Finance and Investment Banking program.

Objectives:

• Provide students with the necessary skills and knowledge to succeed in an undergraduate mathematics and finance program.
• Develop a strong foundation in mathematics, statistics, and financial concepts.
• Prepare students for careers in the financial sector, investment banking, or related fields.

Program Description:

• The International Foundation Year provides students with the academic and English language skills required for undergraduate study.
• The BSc Mathematics with Finance and Investment Banking program delves into advanced mathematics, financial theory, and investment banking practices.
• Students can tailor their final year by choosing from various optional modules based on their interests and career aspirations.

Outline

Foundation Year

The foundation year curriculum includes modules in:

• Academic Skills: Develop essential academic study and communication skills.
• Core Mathematics: Learn fundamental mathematical techniques and problem-solving strategies.
• Quantitative Methods: Gain statistical analysis skills and apply them to finance-related problems.
• Further Mathematics: Develop a strong foundation in advanced mathematical topics like vectors, matrices, and calculus.

Years 1-3

Compulsory Modules:

• Calculus: Extend knowledge of calculus into higher dimensions and explore applications in programming.
• Foundations of Mathematics: Gain a solid introduction to fundamental mathematical concepts and proof construction.
• Linear Algebra: Solve systems of equations, determine eigenvalues and eigenvectors, and develop matrix theory.
• Probability and Statistics: Understand probability distributions, statistical methods, and hypothesis testing.
• Mathematical Modelling and Professional Skills: Develop problem-solving skills and apply mathematical modelling to real-world scenarios across various disciplines.
• Financial Modelling: Apply finance theories to practical problems using Microsoft Excel functions.
• Portfolio of Projects: Conduct independent research projects on various mathematical or statistical topics and develop technical and professional skills.
• Derivative Securities: Explore derivatives markets, products, and trading strategies.
• Advanced Statistical Modelling: Analyze complex data sets using various statistical models and techniques.

Optional Modules:

• Trends in Finance: Analyze current issues in finance within a historical context and explore future developments.
• Sustainable Finance: Learn about the basics of sustainable finance, including ESG factors, relevant policies, and international regulations.
• Fx and International Debt Markets: Study international debt markets, analyze and compare products, and develop trading and hedging strategies.
• Linear Models and Data Analysis: Apply different linear models to practical problems and gain experience in real-life data analysis.
• Asymptotic Methods: Solve complex problems involving non-linear equations, integrals, and differential equations.
• Partial Differential Equation and Applications: Explore partial differential equations in real-world applications like fluid mechanics and wave theory.
• Numerical Analysis II: Analyze algorithms for solving problems of continuous mathematics and techniques in numerical linear algebra.
• Summer Placement: Gain experience in a work placement or internship with an employer.
• Finance and Occupational Pensions: Gain in-depth knowledge of pension schemes and the challenges they face.
• Number Theory and Cryptography: Explore a range of topics within number theory and cryptography, including the RSA cryptosystem and error correcting codes.
• Dynamical Systems and Applications: Analyze dynamical systems and their applications to real-world problems, including population growth and the spread of infectious diseases.
• Methods of Machine Learning: Gain familiarity with various methods used in statistical machine learning and learn how to implement them and interpret the findings.

Assessment

Assessment methods vary depending on the individual modules and may include:

• Examinations
• Coursework assignments
• Presentations
• Project work
• Participation in tutorials and seminars
The assessment criteria are designed to evaluate students' understanding of the subject matter, their ability to apply their knowledge to real-world problems, and their development of critical thinking and communication skills.

Teaching

• New UK/Republic of Ireland students:
£9,250
• New international students:
£29,950