Mathematics with Computer Science

Description: The Mathematics with Computer Science Bachelor's degree programme at Brunel University London offers a comprehensive curriculum designed to develop students' analytical, problem-solving, and technical skills in both mathematics and computer science. This interdisciplinary course combines rigorous mathematical theory with practical computing skills, preparing graduates for a wide range of careers in technology, finance, data analysis, software development, and research. Throughout the programme, students will explore core areas such as calculus, algebra, statistics, algorithms, programming, databases, and artificial intelligence, gaining a solid foundation in both disciplines. The course emphasizes hands-on learning through laboratory sessions, projects, and industry placements, enhancing students' ability to apply theoretical concepts to real-world problems. Additionally, the programme benefits from modern facilities and strong links with industry partners, facilitating internships and collaborations that provide valuable professional experience. The integrating of computer science with mathematics allows students to understand complex systems, develop software solutions, and analyze data efficiently. The programme also promotes critical thinking, numerical analysis, and innovative problem-solving approaches, equipping graduates to adapt to the rapidly evolving technology landscape. Students will have opportunities to specialise in areas such as data analytics, cryptography, or software engineering, depending on their interests and career goals. Upon completion, graduates will possess a versatile skill set suitable for careers in software development, financial services, research institutions, or pursuing postgraduate studies. Brunel University London's Mathematics with Computer Science programme is committed to academic excellence, practical application, and preparing students for successful professional life in a competitive global environment.

Detailed Course Facts

• GBP 9000 Year (EEA)
• GBP 14250 Year (Non-EEA)

• English

Course Content

This course is aimed at those who wish to pursue a career in information technology within industry and commerce. On the Mathematics with Computer Science programme approximately two-thirds of the course is devoted to mathematical and statistical subjects and one third to computer science.

The mathematics element in these courses is wide-ranging, and is concerned in particular with aspects of modern algebra that are related to computer science. Although theory is important, we place equal emphasis on best practice and real world applications.

Typical modules

Level 1

• Linear Algebra

• Calculus and Numerical Methods

• Discrete Mathematics, Probability and Statistics

• Construction of Programs

Level 2 Core

• Linear and Numerical Methods

• Communication Skills and Operational Research

• Algebra and Discrete Mathematics

• Models of Computation and Systems

• Software Engineering Methods

Level 2 Options

• Vector Calculus and Applications

• Analysis

• Statistics

Level 3

• Major Project (core – see below for more)

• Statistics

• Numerical and Variational Methods for PDEs

• Complex Variable Methods and Applications

• Risk and Optimisation in Finance

• Differential and Integral Equations

• Encryption and Data Compression

• Stochastic Models and Mathematical Finance

• Database Systems: Design and Application

• Computer Algorithms and Applications

• Interactive Systems

Final year project

This is a very valuable feature of the Mathematics with Computer Science BSc course – a substantial piece of individual, course-related work personally supervised by a staff member. Projects are often connected to staff research areas and may also be in response to industry demands.

Work on the project accounts for about one-third of your final year study load. Explore in-depth a topic of particular interest to you or work on a practical problem – the choice is yours.

Although students who undertake a work placement year can choose to focus their final year project on their work experience, they may also select from the projects offered each year by the Mathematics staff. During 2010-2011 over 150 project titles were available to final year Mathematics undergraduates. These covered a very wide range of mathematical areas and applications including, for example:

• The very famous ’travelling salesman problem’ (also known as ’the lazy waiter’!)

• The discovery and identification of clustering behaviour in financial markets

• The Mathematics of complex networks such as the web, or even Facebook

• Applications of statistics to the premier league, police complaints data and global warming

• Investigating traffic flow (are traffic lights better than roundabouts?)

In addition to all of these topic areas, our students also have opportunities to study modern theories in quantitative finance, with particular emphasis on the Mathematics and computation underlying the powerful and influential financial derivatives (eg options) industry. Often termed the ‘Black-Scholes theory’, this is famous for winning its discoverers a Nobel prize, as well as for its misapplication often being blamed (rightly or wrongly) for the current worldwide financial crisis.

Most of our projects can be carried out in ways that suit the student's strengths and interests. For example, it is often possible to choose to emphasise concrete applications or abstract theory, and the project can be carried out using theoretical tools only, or computational tools only, or a mixture of both.

English Language Requirements

IELTS band : 6 CAE score : 60(Grade C)

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

Requirements

• GCE A-level ABB, including grade A in Mathematics or Further Mathematics.
• BTEC Level 3 Extended Diploma D*DD plus A-level Mathematics at Grade A.
• BTEC Level 3 Diploma DD in a related subject with an A-level Maths at grade A.
• BTEC Level 3 Subsidiary Diploma D in a related subject with A-evels grade AB including an A grade in Maths.
• International Baccalaureate Diploma 33 points, including 6 points in Higher Mathematics.
• Access to Higher EducationDiploma Complete and pass relevant Access course with 45 credits at Level 3, of which 30 credits must be at Distinction and 15 credits at Merit or higher. Must have 15 Maths level 3 Maths units at Distinction. Applicants must also have an A-level in Maths grade A.

GCSE Mathematics grade C and GCSE English grade C are also required.

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 Brunel University.

The Mathematics with Computer Science BSc programme at Brunel University London is designed to provide students with a comprehensive understanding of core mathematical principles alongside essential computer science skills. The course aims to develop analytical and problem-solving abilities, preparing students for diverse careers in technology, finance, data analysis, software development, and research. Throughout the programme, students engage with a broad curriculum that covers fundamental areas such as calculus, algebra, discrete mathematics, algorithms, programming, databases, and software engineering.

The programme emphasizes both theoretical understanding and practical application, enabling students to implement mathematical models and develop computational solutions to real-world problems. Students have opportunities to enhance their skills through laboratory sessions, programming projects, and group work, fostering teamwork and communication skills crucial for professional success. The course structure is typically divided into modules spanning core mathematics, computer science fundamentals, and applied topics, allowing students to tailor their learning according to their interests and career goals.

Brunel University London also offers strong industry links, providing pathways for placements and internships that give students hands-on experience. The programme prepares graduates for employment in various sectors, including finance, software development, artificial intelligence, data science, and academia. Additionally, students benefit from access to modern computing facilities, expert faculty members, and a vibrant academic community that supports innovation and research.

The university’s location in London offers numerous opportunities for networking, industry collaboration, and engagement with technology and science communities. Graduates of the programme are equipped with a solid foundation in mathematics and computer science principles, enabling them to adapt to rapidly evolving technological landscapes and pursue postgraduate studies if desired. The programme emphasizes critical thinking, quantitative analysis, and computational skills, ensuring graduates are well-prepared for the demands of a competitive job market in the digital age.