| Program start date | Application deadline |
| 2025-09-01 | - |
Program Overview
The Mathematics with Business BSc (Hons) program combines rigorous mathematical thinking with business understanding, equipping graduates with skills for careers in finance, data science, and other industries. The program offers a unique blend of mathematical concepts, technical skills, and business knowledge, preparing students to navigate the complexities of the modern global economy. Graduates gain a deep understanding of mathematics and its applications in business, along with practical work experience through an optional paid work placement.
Program Outline
Mathematics with Business BSc (Hons)
Degree Overview:
Objectives:
- To combine mathematics and business disciplines to develop strong mathematicians who can use their skills in the corporate sector.
- To provide a rigorous, interdisciplinary approach to mathematics, business, and management, equipping graduates with the leadership skills demanded by modern, global businesses.
- To open doors to a wide range of careers by equipping graduates with skills in mathematics and business, disciplines needed by virtually all industries.
- To build confidence and knowledge, preparing graduates for rewarding and satisfying careers.
- To gain a deep understanding of the universal nature of mathematics, its importance in business, and master various mathematical and business topics and techniques.
- To gain practical work experience and enhance employability with an optional paid one-year work placement at organizations like Axa, Barclays, Bloomberg, Disney, Microsoft, Toyota, and Warner Music.
- To explore personal interests through a research project chosen from a wide range of mathematical topics.
Course Description:
This program is designed for high-performing mathematicians who want to apply their skills in the business world. It offers a unique combination of rigorous mathematical thinking, technical skills, and business understanding, ideal for navigating the complexities of the modern, fast-changing global economy.
Other:
- This program is subject to University approval for the 2025 entry.
Outline:
Year 1:
- Functions, Vectors and Calculus (30 credits): This module provides a solid foundation in mathematical concepts beyond traditional A-level material.
- Algebra (15 credits): This module introduces abstract algebra, covering algebraic structures like matrices and complex numbers.
- Linear Algebra (15 credits): This module expands on algebraic notions, covering vector spaces and linear maps.
- Introduction to Probability and Statistics (15 credits): This module provides fundamental tools in probability and statistics, necessary for mathematicians.
- Introduction to Modelling (15 credits): This module teaches students how to translate real-world problems into precise mathematical models.
- Business Economics (15 credits): This module introduces the basic principles of economics.
- Introduction to Managing People and Change (15 credits): This module examines the human aspect of business, focusing on managing people and navigating change.
Year 2:
- Programming and Data Science for the Professions (15 credits): This module covers basic programming concepts and their applications in data analysis and visualization.
- Real Analysis (15 credits): This module delves into the rigorous foundations of calculus and introduces basic complex analysis.
- Vector Calculus (15 credits): This module introduces techniques for solving multivariable problems and ordinary differential equations.
- Fundamentals of Finance (15 credits): This module covers various financial instruments and their roles in raising capital for companies.
- Financial Reporting (15 credits): This module teaches students how to interpret and construct financial statements of companies and financial institutions.
- Introduction to Entrepreneurship (15 credits): This module explores the foundations of entrepreneurship.
- Sequences and Series (15 credits): This module covers the theory of sequences and series of numbers and functions.
- Decision Analysis (15 credits): This module introduces mathematical solution techniques for discrete business problems.
- Applied Mathematics (15 credits): This module applies mathematical methods to understand real-world phenomena, focusing on differential equations, variational calculus, and conservation laws.
- Numerical Mathematics (15 credits): This module teaches students how to construct numerical solutions to various mathematical problems.
- Professional Development and Employability for Mathematics (15 credits): This module develops students' individual motivation, critical analysis, creativity, and innovation, preparing them for the professional world.
- Applications of Probability and Statistics (15 credits): This module expands the student's knowledge of probability and statistics.
Year 3:
- Group Project (15 credits): This module focuses on developing problem-solving skills through individual and group work.
- Complex Analysis (15 credits): This module delves deeper into complex analysis, covering conformal maps and other applications.
- Differential Equations (30 credits): This module explores linear ordinary and partial differential equations and their applications.
- Operations and Supply Chain Management (15 credits): This module examines the principles of operations and supply chain management.
- Business in Society (15 credits): This module explores the role of business in society and examines ethical considerations.
- Corporate Finance (15 credits): This module dives into the advanced concepts of finance.
- Strategy for Business (15 credits): This module teaches students to formulate successful business strategies.
- Codes (15 credits): This module explores various coding techniques.
- Advanced Complex Analysis (15 credits): This module furthers the student's understanding of complex analysis.
- Operational Research (15 credits): This module applies optimization techniques to solve business problems.
- Probability and Statistics 2 (30 credits): This module expands the student's knowledge of probability and statistics.
- Graph Theory (15 credits): This module explores graph theory.
- Game Theory (15 credits): This module introduces game theory and its applications.
- Dynamical Systems (15 credits): This module examines dynamical systems and their behavior.
- Introduction to the Mathematics of Fluids (15 credits): This module applies mathematical analysis to understand fluids and related real-world phenomena.
- Introduction to Mathematical Physics (15 credits): This module introduces classical mechanics, electromagnetism, relativity, and quantum theory.
- Mathematical Processes for Finance (15 credits): This module applies mathematical processes to finance-related problems.
- Groups and Symmetry (15 credits): This module explores group theory and its applications.
- Mathematical Biology (15 credits): This module applies mathematics to understand patterns in biology.
Assessment:
Assessment is based on a combination of exams and coursework weighted 1:3:6 for the three years of study. The following assessment methods are used:
- Set exercises and coursework for individual completion.
- Formal unseen written examinations every year.
- Class or online tests.
- Group assessments in certain modules.
- Student presentations. Feedback is typically provided within three weeks of the submission deadline or assessment date. Feedback for larger tasks like end-of-module projects or dissertations may take longer.
Teaching:
The program is delivered by experienced, knowledgeable academic staff engaged in cutting-edge research from the Department of Mathematics and Bayes Business School. The teaching and learning methods are designed to:
- Develop knowledge and enthusiasm for the subject.
- Stimulate engagement and participation in the learning process.
- Encourage students to take responsibility for their own learning and develop academic self-confidence.
- Support the transition from secondary education to undergraduate study, providing small weekly group tutorials in the first year.
- Allow students to ask questions, receive expert answers, and get intensive individual assistance for core module topics.
- Enable students to carry out their own research project in the final year, chosen from a wide variety of mathematical topics.
Careers:
City graduates with this degree find themselves well-equipped to pursue a wide range of careers in virtually all industries. The skills and knowledge acquired through this program are highly sought after by employers, particularly in the financial and industrial sectors. Some graduates also pursue careers in education, civil service, and research. Past graduates have successfully secured positions in data science companies and data science teams at major firms like:
- PwC
- IBM
- JLT Group
- McKinsey
- SDM O2
- Ernst & Young
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