Mathematics with Computer Science BSc (Hons)

3 Years On Campus Bachelors Program

Brunel University

Program Overview

The Mathematics with Computer Science BSc (Hons) at Brunel University London combines rigorous mathematical thinking with practical computing skills, preparing students to solve complex problems using both analytical reasoning and software tools. It’s ideal for students who enjoy both maths and programming and want to pursue careers in tech, data science, software engineering, or quantitative analysis.

Curriculum Structure:

Year 1:
In the first year, students develop solid mathematical foundations with modules such as Fundamentals of Mathematics, Calculus 1 and Calculus 2, strengthening skills in reasoning, modelling, and numerical methods. Alongside these, Linear Algebra and Elements of Applied Mathematics 1 & 2 build core analytical abilities, while introductory computing modules like Programming Fundamentals, Computer Systems, and Software Development Principles introduce essential coding practices and problem‑solving in software.

Year 2:
The second year deepens both mathematical and computational knowledge; in mathematics modules such as Linear and Abstract Algebra and Calculus 3, students encounter advanced theoretical ideas that support modelling and analysis. At the same time, computing modules such as Data Structures and Algorithms and Object‑Oriented Programming give students practical experience in efficient computing, and Applied Statistics broadens their understanding of data analysis — a key component of many modern applications.

Year 3:
In the final year, students integrate their skills through advanced mathematics and computing modules. Mathematics options such as Stochastic Models and Numerical Methods for Differential Equations sit alongside computing modules such as Databases and Web Development, Software Engineering Project, and Machine Learning, allowing students to apply mathematical insight to real‑world computational problems. A Final Year Project gives each student the opportunity to pursue an independent, interdisciplinary research topic that showcases their combined expertise in mathematics and computer science.

Focus Areas:
Mathematical reasoning, computational problem‑solving, programming, data structures, algorithms, statistics, machine learning, and software development.

Learning Outcomes:
Graduates will be equipped with strong analytical and technical skills, able to tackle complex challenges using both mathematics and computing, develop efficient software solutions, interpret data, and lead interdisciplinary projects in diverse sectors.

Professional Alignment (Accreditation):
This programme combines competencies from mathematical sciences and computer science that align with industry expectations in technology, data analytics, software engineering, and research, giving graduates versatile skills for professional roles.

Reputation (Employability Rankings):
Brunel’s blended degrees in mathematics and computing are highly regarded for student satisfaction and graduate prospects, benefiting from the university’s strong focus on employability and practical experience, which positions students well for careers in tech, finance, and analytics.

Experiential Learning (Research, Projects, Internships etc.)

The BSc Mathematics with Computer Science programme at Brunel gives students a practical edge from day one by combining mathematical reasoning with computing tools and real problem solving. Learners benefit from computing labs, project work, and professional placement experiences, building the skills employers are looking for in tech, analytics and engineering roles:

Computing lab sessions where students work with programming tools and languages such as Python, algorithm implementation and software development environments to solve computational challenges.
Project‑based learning throughout the degree, with a significant final year project that encourages students to blend maths and computing in solving real‑world problems, supported by academic supervision.
Professional placement year (optional four‑year route) allowing students to spend a full year gaining workplace experience in sectors such as IT, finance, aviation or telecommunications, applying their analytical and technical skills firsthand.
Small‑group teaching and workshops in early years to build confidence in core areas such as programming, discrete mathematics and numerical analysis, with tailored support and peer‑to‑peer collaboration.
Supervised modules in algorithms, artificial intelligence and software engineering that blend theoretical foundations with practical exercises and coding assignments to sharpen both analytical and coding proficiency.

Programme Overview
Brunel’s Mathematics with Computer Science degree combines two powerful disciplines so students develop strong foundations in mathematics, numerical analysis and statistics alongside computing skills such as programming, algorithms and software development. About two‑thirds of the course is devoted to mathematical and statistical areas that relate to computing, while the remainder focuses on core computing subjects like fundamentals of algorithms and software engineering. Students can specialise in areas such as encryption, deep learning or machine learning as they progress.

Key Features & Opportunities

Balanced curriculum: Integrates mathematical rigour with practical computing, making graduates highly adaptable across industries.
Final year project: A substantial individual research or development project that demonstrates technical and analytical capability.
Placement support: Optional sandwich placement year guided by the university’s career services, enhancing industry experience and employability.
Foundations and specialisms: Early modules build core skills; later options include AI, data structures, numerical methods and software management.
Accreditation preparation: The programme meets educational requirements that support professional recognition as a Chartered Mathematician with further experience after graduation.

Facilities & Support
Brunel’s campus provides modern computing labs with up‑to‑date hardware and software tools, collaborative study spaces and robust library resources for research and coursework. Students also have access to maths and computing workshops throughout the year, bolstering both technical and analytical skills across the programme.

Career Pathways
Graduates of Mathematics with Computer Science leave equipped for roles that demand both analytical precision and programming expertise. This includes opportunities in software development, data analysis, financial modelling, systems design, cybersecurity and artificial intelligence. The blend of mathematical reasoning and computing experience makes alumni valuable in technology, finance, engineering and business sectors.

Progression & Future Opportunities

Graduates of the Mathematics with Computer Science BSc (Hons) program at Brunel University are equipped with strong analytical and programming skills, preparing them for careers in software development, data analysis, and IT consultancy:

University Services: The Careers and Employability Service provides tailored support including career coaching, internship and placement guidance, and workshops on CVs, interviews, and professional networking.
Employment Stats and Salary Figures: Over 90% of graduates are employed or in further study within six months, with starting salaries typically ranging from £27,000 to £38,000.
University–Industry Partnerships: Brunel collaborates with companies such as IBM, Microsoft, and BAE Systems, offering opportunities for placements, live projects, and industry mentoring.
Long-term Accreditation Value: The program’s strong industry relevance and alignment with professional standards ensure graduates’ skills are highly valued.
Graduation Outcomes: Graduates often progress into roles such as software developers, data analysts, IT consultants, and quantitative programmers.

Further Academic Progression:
Graduates may continue their studies through MSc Computer Science, MSc Data Science, or PhD research programs, as well as professional certifications in software development, data analytics, or artificial intelligence to enhance expertise and career prospects.

Additional Information & Requirements

USA REQUIREMENT: Applicants applying through the US pathway must hold a High School Diploma with a minimum GPA of 3.2 when applying with AP subjects, or a GPA of 3.0 with ACT or SAT. An AP profile equivalent to grades 5, 4, 4 is required, with Grade 5 for A-Level Grade A subjects and Grade 4 for Grade B subjects. Alternatively, eligibility may be met with an ACT score of 27 or an SAT score of at least 1280, aligned to A-Level subject requirements.
GCSE Requirements: Applicants must have a minimum of five GCSEs at Grade C or Grade 4 and above. These must include Mathematics and English Language, ensuring essential numeracy and communication skills are met.
A-Level Requirements: The standard A-Level offer is ABB, with Mathematics or Further Mathematics as a compulsory subject. Any additional subject requirements must align with the stated A-Level grade expectations.
International Baccalaureate (IB) Diploma: Applicants must achieve 31 overall points, including a minimum of Higher Level 5 in Mathematics (AA or AI). English language equivalency is met with SL 5 or HL 4, and Mathematics with SL 2 or HL 2.
India – Standard XII (CBSE / CISCE / State Boards): Applicants must pass Standard XII with an overall score of 75% across five subjects. A minimum of 75% is required in subjects equivalent to A-Level Grade A and 70% in subjects equivalent to Grade B.
English Language – IELTS: Applicants must achieve an overall IELTS score of 6.0. No individual component should be below 5.5 in Listening, Reading, Writing, or Speaking.
English Language – TOEFL iBT: Applicants must achieve a minimum overall TOEFL iBT score of 77. Sectional minimums include Reading 18, Listening 17, Speaking 20, and Writing 17.
UCAS Application Route: Applicants applying through UCAS are assessed based on submitted academic qualifications and subject relevance. All qualifications must meet the stated A-Level or equivalent international entry requirements.